ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑΕμμανουήλ Μαραγκουδάκης

Επίκουρος Καθηγητής, Τμήμα Μηχανικών Πληροφοριακών και

Επικοινωνιακών Συστημάτων,Πανεπιστήμιο Αιγαίου

mmarag @ aegean . gr

Γεννήθηκε στο Χολαργό Αττικής στις 08/02/1977. Είναι διδάκτωρ του τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πατρών και διπλωματούχος επιστήμων υπολογιστών του τμήματος Επιστήμης Υπολογιστών του Πανεπιστημίου Κρήτης. Ο τίτλος της διατριβής του ήταν «Μοντελοποίηση και Συμπερασμός υπό συνθήκες αβεβαιότητας σε Διαλογικά και άλλα Συστήματα Φυσικής Γλώσσας με Τεχνικές Δικτύων Bayes». Εκπόνησε και ολοκλήρωσε τη διπλωματική του εργασία με τίτλο «AXD 301 SWITCH SIMULATION MODEL» στη Σουηδία, συνεργαζόμενος με την εταιρία τηλεπικοινωνιών Ericsson A.B. Το Σεπτέμβριο του 1999 αποφοίτησε με γενικό βαθμό «λίαν καλώς». Είναι μέλος της ερευνητικής ομάδας Τεχνητής Νοημοσύνης του τμήματος Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων του Πανεπιστημίου Αιγαίου, μέλος της ερευνητικής ομάδας Τεχνητής Νοημοσύνης του Τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πατρών, συνεργαζόμενο ερευνητικό μέλος του Ινστιτούτου Βιομηχανικών Συστημάτων και μέλος της Ελληνικής Εταιρίας Τεχνητής Νοημοσύνης.

Είναι επίκουρος καθηγητής στο Πανεπιστήμιο Αιγαίου, τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων, με γνωστικό αντικείμενο «Εξόρυξη γνώσης από δεδομένα-data mining».

Στο παρελθόν, δίδαξε στο Ιόνιο Πανεπιστήμιο, στο τμήμα Πληροφορικής ως ΠΔ. 407/80 στη βαθμίδα του επίκουρου καθηγητή. Επίσης, εργάσθηκε ως επιστημονικός συνεργάτης με πλήρη προσόντα στο Α.Τ.Ε.Ι Πατρών στο Α.Τ.Ε.Ι. Ιονίων Νήσων και στο Α.Τ.Ε.Ι. Μεσολογγίου. Είναι παντρεμένος και έχει μία κόρη.

Τα ερευνητικά του ενδιαφέροντα εστιάζονται κύρια στα εξής: Εξόρυξη γνώσης από δεδομένα, Εξόρυξη Γνώσης και Προστασία της Ιδιωτικότητας, Τεχνητή Νοημοσύνη, Μηχανική Μάθηση, Δίκτυα Πεποίθησης Bayes, Μοντελοποίηση Χρήστη, Αναγνώριση Προτύπων, Επεξεργασία Φυσικής Γλώσσας και Υπολογιστική Γλωσσολογία.

Ξένες Γλώσσες: Αγγλικά (άριστα-Proficiency από πανεπιστήμια Cambridge και Michigan), Γερμανικά (καλά)

Μεταδιδακτορική έρευνα: «Πυθαγόρας ΙΙ- Ενίσχυση Ερευνητικών Ομάδων Στα Πανεπιστήμια». Ερευνητικό θέμα: «ΕΞΑΙΡΕΣΙΣ (ΕΞΑγωγή ΙεΡαρχιών Εννοιών από Σώματα κειμένων ΙΣτοσελίδων)»

Πιστοποιήσεις: Είναι πιστοποιημένος εκπαιδευτής (από το Εθνικό κέντρο πιστοποίησης Ε.ΚΕ.ΠΙΣ.) στο θεωρητικό και πρακτικό μέρος της

επιστήμης της πληροφορικής καθώς επίσης και στις βασικές δεξιότητες στη χρήση πληροφορικής, με αριθμό μητρώου 712185.

Άλλες εξειδικεύσεις: Είναι κριτής στα περιοδικά:

Evolving Systems, Springer Multimedia Systems, Springer

International Journal of Artificial Intelligence Tools, Word Scientific

International Journal of Interactive Multimedia, Intech

Data and Knowledge Engineering, Elsevier

Knowledge based Systems, Elsevier

Transactions on Knowledge and Data Engineering, ΙΕΕΕ.

Έχει διατελέσει μέλος οργανωτικής ή προγραμματικής επιτροπής στα διεθνή ή εθνικά συνέδρια:

Pervasive and Assistive Technologies (PETRA, 2010, 2011, 2012) International Conference on Tools with Artificial Intelligence (ICTAI 2010)

Artificial Intelligence Applications and Innovations (AIAI 2010, 2012)

WWW/Internet, 2009, Rome, IADIS

Panhellenic Conference on Informatics (PCI 2009)

Hellenic Conference on Artificial Intelligence, SETN 2008,2012

Ακαδημαϊκή Διδακτική Εμπειρία 06/2008-σήμερα Λέκτορας επί θητεία, στο Τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων, Πανεπιστήμιο Αιγαίου, στο γνωστικό αντικείμενο: «Εξόρυξη Γνώσης από Δεδομένα-Data Mining». Διδάσκων στο Προπτυχιακό και Μεταπτυχιακό Πρόγραμμα Σπουδών του Τμήματος, στα μαθήματα «Αποθήκες Δεδομένων και Εξόρυξη Γνώσης από Δεδομένα», «Βάσεις Δεδομένων ΙΙ», «Μηχανική Γνώσης» και «Τεχνολογίες Διαδικτύου», «Εξόρυξη Γνώσης από τον Παγκόσμιο Ιστό» στο Μεταπτυχιακό.

10/2008-06/2008 Λέκτορας με το ΠΔ 407 στο Τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων, Πανεπιστήμιο Αιγαίου, με πλήρη απασχόληση στα μαθήματα «Εξόρυξη δεδομένων» (θεωρία και εργαστήριο 5 ώρες/εβδομάδα), «Διακριτά Μαθηματικά Ι» (θεωρία 4 ώρες/εβδομάδα) και «Σχεδιασμός Βάσεων Δεδομένων» (θεωρία και εργαστήριο 7 ώρες/εβδομάδα)

02/2007-08/2007 Επίκουρος καθηγητής με το ΠΔ 407 στο Τμήμα Πληροφορικής, Ιόνιο Πανεπιστήμιο, με πλήρη απασχόληση στο μάθημα «Ανάκτηση Πληροφορίας» (θεωρία και εργαστήριο 4 ώρες/εβδομάδα) και στο μάθημα «Συστήματα Υποστήριξης Αποφάσεων» (συνδιδασκαλία, 2 ώρες/εβδομάδα)

2006-02/2007 Επίκουρος καθηγητής με το ΠΔ 407 στο Τμήμα Πληροφορικής, Ιόνιο Πανεπιστήμιο, με πλήρη απασχόληση στο μάθημα «Πολυμέσα» (θεωρία και εργαστήριο).

02/2006-07/2006 Επιστημονικός συνεργάτης με πλήρη προσόντα στο Α.Τ.Ε.Ι. Ιονίων Νήσων, σχολή Διοίκησης και Οικονομίας, τμήμα Εφαρμογών Πληροφορικής Στη Διοίκηση και στην Οικονομία, στα μαθήματα «Ασφάλεια Υπολογιστικών Συστημάτων» (θεωρία), «Συστήματα Υποστήριξης Αποφάσεων» (θεωρία), «Ανάλυση και Σχεδιασμός Πληροφοριακών Συστημάτων» (θεωρία) και «Πληροφοριακά Συστήματα Διοίκησης» (θεωρία).

2005-02/2006 Επιστημονικός συνεργάτης με πλήρη προσόντα στο Α.Τ.Ε.Ι. Μεσολογγίου, σχολή Διοίκησης και Οικονομίας, τμήμα Εφαρμογών Πληροφορικής Στη Διοίκηση και στην Οικονομία, στα μαθήματα «Προγραμματισμός ΗΥ Ι» (θεωρία), «Αυτοματισμός Γραφείου» (θεωρία), «Τεχνολογίες Διαδικτύου» (Εργαστήρια), «Βάσεις Δεδομένων Ι» (Εργαστήρια) και «Πληροφοριακά Συστήματα στη Διοίκηση» (Εργαστήρια).

2003-2005 Εργαστηριακός συνεργάτης στο Α.Τ.Ε.Ι. Πατρών, Σχολή Διοίκησης και Οικονομίας, Τμήμα Διοίκησης Επιχειρήσεων στα μαθήματα «Εισαγωγή στην Πληροφορική», και «Δίκτυα Υπολογιστών»

1999-2004 Επικουρικό διδακτικό έργο στα πλαίσια των μαθημάτων «Εισαγωγή στους Υπολογιστές Ι» και «Εισαγωγή στους Υπολογιστές ΙΙ», «Εισαγωγή στην Πληροφορική» στο Πανεπιστήμιο Πατρών, Τμήμα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών και των μαθημάτων «Βασικές υπηρεσίες του διαδικτύου», «Εισαγωγή στην Πληροφορική» και «Παιδαγωγική χρήση του διαδικτύου στα Πλαίσια του Π.Τ.Ν» στο Παιδαγωγικό Τμήμα Νηπιαγωγών του Πανεπιστημίου Πατρών. Παράλληλα, βοήθησε στην επίβλεψη 3 διπλωματικών εργασιών με θέματα σχετικά με τη μοντελοποίηση διαλόγου και την επίλυση του προβλήματος της αναφοράς. Το 2002, στα πλαίσια του μαθήματος της «Τεχνητής Νοημοσύνης» παρουσίασε διάλεξη με θέμα «Μηχανική Μάθηση».

Επαγγελματική Εμπειρία

1998-1999 Προγραμματιστής του ΑΤΜ switch της Ericsson AXD 311 στην εταιρία Ericsson Telecom AB, τμήμα IP SOLUTIONS & CUSTOMER SUPPORT SERVICES, Nacka Strand, Stockholm, Sweden

1999-2000 Ανάθεση έργου στο ερευνητικό πρόγραμμα «ΔΗΛΟΣ: Δίγλωσσο Ηλεκτρονικό Λεξικό Οικονομικών Όρων με αναφορές εντάσεως των όρων σε κείμενο συλλογών», που χρηματοδοτείται από τη ΓΕΝΙΚΗ ΓΡΑΜΜΑΤΕΙΑ ΕΡΕΥΝΑΣ & ΤΕΧΝΟΛΟΓΙΑΣ (Γλωσσική Τεχνολογία) και με Επιστημονικό Υπεύθυνο τον κ. Ν. Φακωτάκη. Εργασία που εκτελέσθηκε: «Αυτόματη προεπεξεργασία της βάσης κειμένων».

1999-2000 Ανάθεση έργου στο ερευνητικό πρόγραμμα «Αναβάθμιση σπουδών του Τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών» που χρηματοδοτείται από το ΥΠΕΠΘ/ΕΠΕΑΕΚ/Β’ ΚΠΣ και με επιστημονικό Υπεύθυνο τον κ. Γ. Παπαδόπουλο. Εργασία που εκτελέσθηκε: «Τεχνική υποστήριξη συγγραφής βιβλίων και μετάφρασης».

2000-2001 Ανάθεση έργου στο ερευνητικό πρόγραμμα «ΔΕΙΚΤΗΣ: Διαλογική Εξαγωγή Πληροφορίας από Ιατρικά Κείμενα Τηλε-διαχειριζόμενων Ηλεκτρονικών

Σωμάτων», που χρηματοδοτείται από τη ΓΕΝΙΚΗ ΓΡΑΜΜΑΤΕΙΑ ΕΡΕΥΝΑΣ & ΤΕΧΝΟΛΟΓΙΑΣ (Γλωσσική Τεχνολογία) και με Επιστημονικό Υπεύθυνο τον κ. Γ. Κοκκινάκη. Εργασία που εκτελέσθηκε: «Ανάπτυξη συστήματος αναζήτησης και άντλησης πληροφοριών»

2001-2002 Διαχειριστής Υπολογιστικού κέντρου Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πατρών. (02/2001-6/2002).

2002 Συμμετοχή στο πρόγραμμα «Επιμόρφωση Εκπαιδευτικών στην Αξιοποίηση των Τεχνολογιών της Πληροφορίας και των Επικοινωνιών (ΤΠΕ) στην Εκπαίδευση» ως επιμορφωτής (Αρ Πρωτ 7579/00), το οποίο είναι ενταγμένο στο Μέτρο 1.2 του Άξονα "Παιδεία και Πολιτισμός του ΕΠ "ΚτΠ" και συγχρηματοδοτείται από την Ευρωπαϊκή Ένωση.

2002 Σχεδίαση και ανάπτυξη δικτυακού τόπου της ομάδας Γλωσσικής Τεχνολογίας του τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πατρών. (http://wcl.ee.upatras.gr/ai)

2002 Συμμετοχή στη σχεδίαση και ανάπτυξη του δικτυακού τόπου International Site of Human Language Technology Theses. (http://hltheses.elsnet.org)

2002-2004 Ανάθεση έργου στο ερευνητικό πρόγραμμα «IST-2001-32343 GEMINI: Generic Environment for multilingual interactive natural interfaces», που χρηματοδοτείται από την Ευρωπαϊκή Ένωση, με επιστημονικό υπεύθυνο τον κ. Γ. Κοκκινάκη. Εργασία που εκτελέσθηκε: «Προσδιορισμός απαιτήσεων μονάδας γλωσσικής επεξεργασίας»

2006-2007 Ανάθεση έργου στο ερευνητικό πρόγραμμα «Γλωσο-στραφής προγραμματισμός σε περιβάλλον Visual Basic», που χρηματοδοτείται από την επιτροπή εκπαίδευσης και ερευνών ΤΕΙ/Μ. Εργασία που εκτελέσθηκε: «Επιστημονικός Συντονισμός και διεύθυνση έρευνας και ανάπτυξης»

Συμμετοχή σε Ευρωπαϊκά και Ελληνικά ερευνητικά προγράμματα

ΙΑΝΟΣ: ΕΠΕΤ-ΙΙ: 98 ΓΤ-49

Περιγραφή: Αυτόματη μορφολογική ανάλυση της Ελληνικής γλώσσας

ΔΕΙΚΤΗΣ: ΕΠΕΤ-ΙΙ: 98 ΓΤ-24

Περιγραφή: Διαλογικό σύστημα για εξαγωγή πληροφορίας από φαρμακευτικά Κείμενα

ΔΗΛΟΣ: ΕΠΕΤ-ΙΙ: 98 ΓΤ-12

Περιγραφή: Δίγλωσσο ηλεκτρονικό οικονομικό λεξικό με αναφορές σε κείμενα

ORIENTEL: IST-2000-28373

Περιγραφή: Πολύγλωσση βάση ηχογραφημένων συνομιλιών από την ευρύτερη περιοχή της Βόρειας Αφρικής και της Μέσης Ανατολής

Ε2Μ: IST-2000-30167

Περιγραφή: Διαλογική δίγλωσση πλατφόρμα για αυτόματη εξυπηρέτηση πελατών από ναυτιλιακές εταιρίες

GEMINI: IST-2001-32343

Περιγραφή: Γενικευμένη πλατφόρμα κατασκευής και ανάπτυξης διαλογικών εφαρμογών με επεξεργασία φυσικής γλώσσας

INSPIRE: IST-1999-10387

Περιγραφή: Ευφυής υποστήριξη για ανθρωποκεντρικές διεργασίες μηχανικής και διαχείρισης πόρων.

PADGETS: FP7

Περιγραφή: Policy Gadgets Mashing Underlying Group Knowledge in Web 2.0 Media.

NOMAD: FP7

Περιγραφή: Policy Formulation and Validation through non-Moderated Crowdsourcing.

EU-Community: FP7

Περιγραφή: The Next Era of EU Policy-Making

COOPERATION 2011 – Partnerships of Production and Research Institutions in Focused Research and Technology Sectors

Περιγραφή: Analysis of Marine Information for Environmentally Safe Shipping

COOPERATION 2011 - Border Geomatics Utilities for Area Reconnaissance & Decision Support

Περιγραφή: Intelligent monitoring of geomatic data for border and area reconnaissance.

ARCHIMEDES III: Research Teams in Technical Academic Institutions

Περιγραφή: Development of a semantic concept thesaurus using videogaming software for supporting marketing designers

Ευρωπαϊκό Ταμείο Ένταξης-Kωδικός έργου: ΟΠΣ-ΕΤΕ, Προτεραιότητα 2, Υποέργο/Δράση: Δ2.1/10

Περιγραφή: Ανάπτυξη συστήματος παρακολούθησης των αποτελεσμάτων των πολιτικών ένταξης μέσω της δημιουργίας Ολοκληρωμένου Πληροφοριακού

ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΕΡΓΑΣΙΕΣ

ΜΟΝΟΓΡΑΦΙΕΣ

[Μ1] M. MARAGOUDAKIS, Bayesian Feature Construction for the Improvement of Classification Performance, IEEE Transactions on Knowledge and Data Engineering (IMPACT FACTOR=1.758). (SUBMITTED 2nd REVISION).

[M2] M. MARAGOUDAKIS, A Bayesian Network Model for Information Retrieval from Greek Text, 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 2, pp. 50-54, 2007.

ΑΡΘΡΑ ΣΕ ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ

[J1] A. Panteli, M. Maragoudakis and S. Gritzalis, Privacy-Preserving Data Mining using Radial Basis Functions on Horizontally-Partitioned Databases in the Malicious Model, International Journal of Artificial Intelligence Tools, 2013 (minor revision).

[J2] K. Kermanidis and M. Maragoudakis, Political Sentiment Analysis of Tweets before and after the Greek Elections of May 2012, International Journal of Social Network Mining, 2013 (minor revision).

[J3] E. Linardos, K.Kermanidis and M. Maragoudakis, Using Financial News Articles with Minimal Linguistic Resources to Forecast Stock Behavior, International Journal of Data Mining, Modelling and Management, 2013.

[J4] M.Maragoudakis and E.Loukis, Heart Sound Screening in Real-Time Assistive Environments through MCMC Bayesian Data Mining, Universal Access in the Information Society, Springer, 2012.

[J5] M. Maragoudakis, I. Maglogiannis, A Medical Ontology for Intelligent Web-based Skin Lesion Image Retrieval, Health Informatics Journal, Vol. 17, No. 2, pp. 140-157, 2011, Sage, (to appear)

[J6] M. Maragoudakis, D. Serpanos, Robust Stock Market Mining, Incorporating Financial News and Technical Analysis Data, Engineering Intelligent Systems, 2011, CRL Publishing

[J7] M. Maragoudakis, D. Lyras, K. Sgarbas, Bayesian Retrieval of Greek Texts using a Similarity-based Lemmatizer, International Journal on Artificial Intelligence Tools, 2012, World Scientific. (to appear)

[J8] M. Maragoudakis, E. Loukis, Using Ensemble Random Forests for the Extraction and Exploitation of Knowledge on Gas Turbine Blading Faults Identification, Operational Research Insight: Special Issue on facilitating information and knowledge management through Information Systems and Operational Research: from theory to practice., 2011, Palgrave Macmillan

[J9] K.Kolias, G. Kambourakis, M. Maragoudakis, Swarm Intelligence in Intrusion Detection: A Survey, Computers & Security, Vol. 30, No. 8, pp. 625-642, 2011, Elsevier.

[J10] K. Kotis, A. Papasalouros, M. Maragoudakis, Mining Query Logs for Learning Useful Ontologies: an Incentive to SW Content Creation, International Journal for Knowledge Engineering and Data Mining (IJKEDM), issue Special Issue on Incentives for Semantic Content Creation, Vol. 1, No.4 pp. 303 – 330, 2010.

[J11] E. Magkos, M. Maragoudakis, V. Chryssikopoulos, S. Gritzalis, Accurate and Large-Scale Privacy-Preserving Data Mining using the Election Paradigm, Data and Knowledge Engineering, Vol. 68, No. 11, pp. 1224-1236, 2009, Elsevier

[J12] G. N. Yannakakis, M. Maragoudakis, J. Hallam, Preference Learning for Cognitive Modeling: A Case Study on Entertainment Preferences, IEEE Systems, Man and Cybernetics; Part A: Systems and Humans, 39(6), 1165-1175, 2009. IMPACT FACTOR: 1,821.

[J13] C.Fidas, M. Maragoudakis, N. Avouris, Intelligent - Miner: The Conceptual and Architectural Design of a Web Based Data Mining Service, International Journal on Human-Computer Interaction, Vol. 1, No. 4, pp. 23-43, 2008, eMinds

[J14] M. Maragoudakis, A. Thanopoulos, N. Fakotakis, MeteoBayes: Effective Plan Recognition in a Weather Dialogue System, IEEE Intelligent Systems , Vol. 22 , No. 1 , pp. 66-78, 2007. IMPACT FACTOR: 3.725.

[J15] N. Tselios, A. Stoica, M. Maragoudakis, N. Avouris, V. Komis, Enhancing user support in open problem solving environments through Bayesian Network inference techniques, Journal of Educational Technology & Society, Vol. 9, pp. 150-165, 2006

[J16] K. Kermanidis, M. Maragoudakis, N. Fakotakis, G. Kokkinakis, Learning Verb Complements for Modern Greek: Balancing the Noisy Data Set, Natural Language Engineering , Vol. 12, No. 4, pp. 1-30, 2006

[J17] M. Maragoudakis, K. Kermanidis, A. Tasikas, N. Fakotakis, G. Kokkinakis, Bayesian Induction of Verb Subcategorization Frames in Imbalanced Heterogeneous Data, Journal of Quantitative , Vol. 12, No. 2, pp. 185-211, 2005

[J18] M. Maragoudakis, A. Thanopoulos, K. Sgarbas, N. Fakotakis, Domain knowledge acquisition and plan recognition by probabilistic reasoning, International Journal on Artificial Intelligence Tools, Vol. 13, No. 2, pp. 333-365, 2004

[J19] M. Maragoudakis, N. Fakotakis, G. Kokkinakis, Imposing Classification Bias in Bayesian Network Learning, Pattern Recognition and Image Analysis, Vol. 14, No. 3, pp. 455-470, 2004

[J20] M. Maragoudakis, N. Fakotakis, A Bayesian Network Model for Stochastic Tagging of Natural Language Texts, Journal of Applied Linguistics, Vol. 19, No. 1, pp. 63-82, 2003

ΣΥΝΕΔΡΙΑ ΜΕ ΠΡΑΚΤΙΚΑ ΣΕ ΚΕΦΑΛΑΙΑ ΒΙΒΛΙΩΝ:

[B1] V.POLITOPOULOU, M. MARAGOUDAKIS, ON MINING OPINIONS FROM SOCIAL MEDIA, COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, ENGINEERING APPLICATIONS OF NEURAL NETWORKS, LAZAROS ILIADIS, HARRIS PAPADOPOULOS, CHRISINA JAYNE (EDS.), PP. 474-484, 2013.

[B2] E. MAGKOS, M. MARAGOUDAKIS, V. CHRYSSIKOPOULOS, ΠΡΟΣΤΑΣΊΑ ΙΔΙΩΤΙΚΌΤΗΤΑΣ ΣΕ ΚΑΤΑΝΕΜΗΜΈΝΑ ΣΥΣΤΉΜΑΤΑ ΕΞΌΡΥΞΗΣ ∆ΕΔΟΜΈΝΩΝ, ΠΡΟΣΤΑΣΙΑ ΤΗΣ ΙΔΙΩΤΙΚΟΤΗΤΑΣ & ΤΕΧΝΟΛΟΓΙΕΣ ΠΛΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΕΠΙΚΟΙΝΩΝΙΩΝ, ΛΑΜΠΡΙΝΟΥΔΑΚΗΣ – ΜΗΤΡΟΥ – ΓΚΡΙΤΖΑΛΗΣ – ΚΑΤΣΙΚΑΣ, PP. 312-331, 2010, ΠΑΠΑΣΩΤΗΡΙΟΥ

[Β3] M. MARAGOUDAKIS, E. LOUKIS, Υ. CHARALABIDIS, A REVIEW OF OPINION MINING METHODS FOR ANALYZING CITIZENS' CONTRIBUTIONS IN PUBLIC POLICY DEBATE, THIRD INTERNATIONAL CONFERENCE ON EPARTICIPATION (EPART 2011), PP. 298-313, SEPTEMBER 2011, DELFT, NETHERLANDS, SPRINGER VERLAG

[Β4]M.E. SKARKALA, M. MARAGOUDAKIS, S. GRITZALIS, L. MITROU, PRIVACY PRESERVING TREE AUGMENTED NAÏVE BAYESIAN MULTI – PARTY

IMPLEMENTATION ON HORIZONTALLY PARTITIONED DATABASES, TRUSTBUS 2011 8TH INTERNATIONAL CONFERENCE ON TRUST, PRIVACY AND SECURITY OF DIGITAL BUSINESS, S. FURNELL, C. LAMBRINOUDAKIS, AND G. PERNUL, (EDS), PP. 62 - 73, AUGUST 2011, TOULOUSE, FRANCE, LECTURE NOTES IN COMPUTER SCIENCE LNCS, SPRINGER

[Β5] M. MARAGOUDAKIS, D. SERPANOS, TOWARDS STOCK MARKET DATA MINING USING ENRICHED RANDOM FORESTS FROM TEXTUAL RESOURCES AND TECHNICAL INDICATORS , ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, 6TH IFIP WG 12.5 INTERNATIONAL CONFERENCE, AIAI 2010, LARNACA, CYPRUS, OCTOBER 6-7, 2010. VOLUME 339/2010, HARRIS PAPADOPOULOS, ANDREAS S. ANDREOU AND MAX BRAMER, (EDS), PP. 278-286, SEPTEMBER 2010, LARNACA, CYPRUS, SPRINGER.

[Β6] E. MAGKOS, M. MARAGOUDAKIS, V. CHRYSSIKOPOULOS, S. GRITZALIS, ACCURACY IN PRIVACY-PRESERVING DATA MINING USING THE PARADIGM OF CRYPTOGRAPHIC ELECTIONS, PSD 2008 PRIVACY IN STATISTICAL DATABASES, J. DOMINGO-FERRER, (ED), PP. 284-297, SEPTEMBER 2008, ISTANBUL, TURKEY, LECTURE NOTES IN COMPUTER SCIENCE LNCS, SPRINGER.

[Β7] M. MARAGOUDAKIS, NIKOLAOS COSMAS, ARISTOGIANNIS GARBIS, MINING NATURAL LANGUAGE PROGRAMMING DIRECTIVES WITH CLASS-ORIENTED BAYESIAN NETWORKS, ADVANCED DATA MINING AND APPLICATIONS, LECTURE NOTES ARTIFICIAL INTELLIGENCE - LNAI 5139, CHANGJIE TANG, CHARLES X. LING, XIAOFANG ZHOU, NICK J. CERCONE, XUE LI (EDS.), SPRINGER - VERLAG BERLIN HEIDELBERG, PP. 15-26, 2008. (IMPACT FACTOR: 0,251)

[Β8] M. MARAGOUDAKIS AND N.FAKOTAKIS: BAYESIAN FEATURE CONSTRUCTION, G. ANTONIOU, G. POTAMIAS, D. PLEXOUSAKIS, C. SPYROPOULOS (EDS),: SETN 06, 4TH HELLENIC CONFERENCE ON ARTIFICIAL INTELLIGENCE, MAY 18-20, 2006, HERAKLION, CRETE, GREECE, PROCEEDINGS LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (LNAI), (IMPACT FACTOR: 0,251).

[Β9] G. YANNAKAKIS AND M. MARAGOUDAKIS: PLAYER MODELING IMPACT ON PLAYER΄ S ENTERTAINMENT IN COMPUTER GAMES, LILIANA ARDISSONO, PAUL BRNA, ANTONIJA MITROVIC (EDS.): USER MODELING 2005, 10TH INTERNATIONAL CONFERENCE, UM 2005, EDINBURGH, SCOTLAND, UK, JULY 24-29, PP. 74-78 2005, PROCEEDINGS. LECTURE NOTES IN COMPUTER SCIENCE 3538 SPRINGER 2005. (IMPACT FACTOR: 0,513)

[Β10] M. MARAGOUDAKIS, T. GANCHEV, N. FAKOTAKIS AND G. KOKKINAKIS: BAYESIAN REINFORCEMENT FOR A PROBABILISTIC NEURAL NET PART-OF-SPEECH TAGGER, 7TH INTERNATIONAL CONFERENCE ON TEXT, SPEECH AND DIALOGUE (TSD 2004) BRNO, CZECH REPUBLIC, SEPTEMBER 8-11, 2004. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (LNAI), PETR SOJKA, IVAN KOPECEK, KAREL PALA (EDS.), PP. 137-145, SPRINGER VERLAG. (IMPACT FACTOR: 0,251)

[Β11] M. MARAGOUDAKIS, A. THANOPOULOS AND N. FAKOTAKIS: USER MODELING AND PLAN RECOGNITION UNDER CONDITIONS OF UNCERTAINTY , 6TH INTERNATIONAL CONFERENCE ON TEXT, SPEECH AND DIALOGUE (TSD 2003) SEPTEMBER 8-11, 2003, CESKE BUDEJOVICE, CZECH REPUBLIC. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (LNAI), MATOUSEK AND MAUTNER (EDS.), PP 372-379, SPRINGER VERLANG. (IMPACT FACTOR: 0,251)

[Β12] M. MARAGOUDAKIS, P. ZERVAS, N. FAKOTAKIS AND G. KOKKINAKIS: A DATA-DRIVEN FRAMEWORK FOR INTONATIONAL PHRASE BREAK PREDICTION , 6TH INTERNATIONAL CONFERENCE ON TEXT, SPEECH AND DIALOGUE (TSD 2003) SEPTEMBER 8-11, 2003, CESKE BUDEJOVICE, CZECH REPUBLIC. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (LNAI), MATOUSEK AND MAUTNER (EDS.), PP 189-197, SPRINGER VERLANG. (IMPACT FACTOR: 0,251)

[Β13] M. MARAGOUDAKIS, A. THANOPOULOS, KYRIAKOS SGARBAS AND N. FAKOTAKIS: DOMAIN KNOWLEDGE ACQUISITION AND PLAN RECOGNITION BY PROBABILISTIC REASONING, VASILE PALADE, ROBERT J. HOWLETT, LAKHMI C. JAIN (EDS.): KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 7TH INTERNATIONAL CONFERENCE, KES 2003, OXFORD, UK, SEPTEMBER 3-5, 2003, PROCEEDINGS, PART I. LECTURE NOTES IN COMPUTER SCIENCE 2773 SPRINGER 2003. (IMPACT FACTOR: 0,251)

[Β14] M. MARAGOUDAKIS, N. TSELIOS, N. FAKOTAKIS AND N. AVOURIS: IMPROVING SMS USABILITY USING BAYESIAN NETWORKS, 2ND PANHELLENIC CONFERENCE ON ARTIFICIAL INTELLIGENCE, THESSALONIKI GREECE, APRIL 11-12, 2002. I.P. VLAHAVAS AND C.D. SPYROPOULOS (EDITORS): LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, LNAI 2308, PP. 179-190, SPRINGER-VERLAG, 2002. (IMPACT FACTOR: 0,251)

[Β15] M. MARAGOUDAKIS, A. THANOPOULOS, N. FAKOTAKIS: STATISTICAL DECISION MAKING APPLIED TO TEXT AND DIALOGUE CORPORA FOR EFFECTIVE PLAN RECOGNITION, TSD 2002, 5TH INTERNATIONAL CONFERENCE ON TEXT, SPEECH AND DIALOGUE, BRNO, CZECH REPUBLIC, SEPT. 9-12, 2002. P. SOJKA, ET.AL. (EDITORS.): LECTURE NOTES IN COMPUTER SCIENCE, LNAI 2448, PP. 365-372, SPRINGER-VERLAG, 2002. (IMPACT FACTOR: 0,513)

[Β16] K.L. KERMANIDIS, M. MARAGOUDAKIS, N. FAKOTAKIS AND G. KOKKINAKIS: INFLUENCE OF CONDITIONAL INDEPENDENCE ASSUMPTION ON VERB SUBCATEGORIZATION DETECTION, TSD 2001, 4TH INTERNATIONAL CONFERENCE ON TEXT, SPEECH AND DIALOG, ZELEZNA RUDA, CZECH REPUBLIC, SEPT. 10-14, 2001. V. MATOUSEK ET. AL. (EDITORS): LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, LNAI 2166, PP. 62-69, SPRINGER-VERLAG, 2001. (IMPACT FACTOR: 0,251)

ΑΡΘΡΑ ΣΕ ΔΙΕΘΝΗ ΣΥΝΕΔΡΙΑ

[C1]M. Chalaris, S. Gritzalis, M. Maragoudakis, C. Sgouropoulou, A. Tsolakidis, Improving quality of educational processes providing new knowledge using data mining techniques, 3rd IC-ININFO International Conference on Integrated Information, D. Sakas, (ed), September 2013, Prague, Czech, Procedia, Elsevier

[C2]K. Kermanidis, M. Maragoudakis, S. Vosinakis, N. Exadaktylos: Designing a Support Tool for Creative Advertising by Mining Collaboratively Tagged Ad Video Content: The Architecture of PromONTotion. AIAI 2013: 10-19.

[C3]K. Kontos, M. Maragoudakis: Breast Cancer Detection in Mammogram Medical Images with Data Mining Techniques. AIAI 2013: 336-347.

[C4]M.E. Skarkala, M. Maragoudakis, S. Gritzalis, L. Mitrou, Hannu Toivonen, Pirjo Moen: Privacy Preservation by k-Anonymization of Weighted Social Networks. ASONAM 2012: 423-428.

[C5]K. Anagnostou, M. Maragoudakis: Player Modeling Using HOSVD towards Dynamic Difficulty Adjustment in Videogames. AIAI (2) 2012: 125-134.

[C6]E. Paliulis, M. Maragoudakis and A. Panteli, Privacy preserving neural networks in iris signature feature extraction, PETRA2012, June 06 - 08 2012, Heraklion, Crete, Greece, ACM 978-1-4503-1300-1/12/06, 2012.

[C7]A. Panteli, M. Maragoudakis, A Random Forests Text Transliteration System for Greek Digraphia, Engineering Applications of Neural Networks / Artificial Intelligence Applications and Innovations, pp. 196-201, 2011, Corfu, Springer.

[C8]M. Maragoudakis, E. Loukis, MCMC Bayesian inference for heart sounds screening in assistive environments, PETRA 2011, pp. 16, 2011, Crete, ACM.

[C9]M. Maragoudakis, I. Maglogiannis, Skin Lesion Diagnosis from Images Using Novel Ensemble Classification Techniques, In Proc of 10th IEEE International Special Topic Conference on Information Technology in Biomedicine (ITAB 2010) , November 2010, Corfu Greece, IEEE.

[C10] M. Maragoudakis, E. Loukis, Automated Aortic And Mitral Valves Diseases Diagnosis from Heart Sound Signals using Novel Ensemble Techniques, Tools with Artificial Intelligence, ICTAI 2010, Eric Gregoire, (ed), pp. 267-273, October 2010, Arras, France, IEEE.

[C11] E. Loukis, M. Maragoudakis, Heart Murmurs Identification Using Random Forests in Assistive Environments, The 3rd International Conference on PErvasive Technologies Related to Assistive Environments PETRA 2010, June 2010, Samos, Greece, ACM International Conference Proceedings Series.

[C12] K. Anagnostou, M. Maragoudakis, Data Mining for Player Modeling in Videogames, pci, 2009 13th Panhellenic Conference on Informatics, 2009, pp. 30-34, September 2009, Corfu, IEEE.

[C13] K. Kotis, A. Papasalouros, M. Maragoudakis, Mining Web queries to boost semantic content creation, WWW/Internet, 2009, Rome, IADIS

[C14] M. Maragoudakis, E. Loukis, P.P. Pantelides, Random Forests Identification of Gas Turbine Faults, IEEE 19th International Conference on Systems Engineering, pp.127-132, 2008.

[C15] Emmanouil Magkos, Manolis Maragoudakis, Vassilios Chrissikopoulos, Stefanos Gridzalis , Accuracy in Privacy-Preserving Data Mining Using the Paradigm of Cryptographic Elections, Privacy in Statistical Databases pp. 284-297, 2008.

[C16] M. Maragoudakis, E. Loukis, P.P. Pantelides, Gas Turbine Fault Diagnosis using Random Forests, European Conference on Artificial Intelligence, pp. 769-770, 2008.

[C17] M. Maragoudakis, I. Maglogiannis, D. Lymberopoulos, A medical, description logic based, ontology for skin lesion images, , 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2008), pp. 1-6, 2008.

[C18] M. Maragoudakis, D. Lymberopoulos, N. Fakotakis and , K. Spiropoulos, A hierarchical, ontology-driven Bayesian concept for ubiquitous medical environments - A case study for pulmonary diseases, , Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp.3807-3810, 2008.

[C19] M. Maragoudakis, K. Kermanidis, A. Garbis and N. Fakotakis: Dealing with Imbalanced Data using Bayesian Techniques, LREC 2006, International Conference on Language Resources and Evaluation, Genoa, Italy, 26-28 May 2006.

[C20] K.L. Kermanidis, M. Maragoudakis, N. Fakotakis and G. Kokkinakis: Learning Greek Verb Complements: Addressing the Class Imbalance, 20th International Conference on Computational Linguistics, COLING 2004, pp. 1065-1071 Geneva, Switzerland.

[C21] M. Maragoudakis and N. Fakotakis: Bayesian Semantics Incorporation to Web Content for Natural Language Information Retrieval, LREC 2004, 4th International Conference on Language Resources and Evaluation, pp. 785-788, Lisbon, Portugal.

[C22] M. Maragoudakis, N. Fakotakis and G. Kokkinakis: A Bayesian Model for Shallow Syntactic Parsing of Natural Language Texts, LREC 2004, 4th International Conference on Language Resources and Evaluation, pp. 847-850, Lisbon, Portugal.

[C23] P. Zervas, M. Maragoudakis, N. Fakotakis and G. Kokkinakis: Learning to predict Pitch Accents using Bayesian Belief Networks for Greek Language, LREC 2004, 4th International Conference on Language Resources and Evaluation, pp. 2139-2142, Lisbon, Portugal.

[C24] P. Zervas, M. Maragoudakis, N. Fakotakis and G. Kokkinakis: Bayesian Induction of intonational phrase breaks, 8th International Conference on Speech Communication and Technology (Eurospeech 2003) September 1-4, 2003, Geneva, Switzerland, pp. 113-116.

[C25] M. Maragoudakis, E. Kavallieratou, N. Fakotakis and G. Kokkinakis: An Effective Stochastic Estimation of Handwritten Character Segmentation Bounds, ISAP 2003: Competitive Environment, Renewable Energy, Distributed Generation. Lemnos, Greece, 31 August- 3 September, 2003.

[C26] M. Maragoudakis, K. Kermanidis and N. Fakotakis: A Bayesian Part-Of-Speech and Case Tagger for Modern Greek, 6th International conference of Greek linguistics (ICGL 2003), September 18-21, 2003, Rethymno, Greece.

[C27] M. Maragoudakis, K. Kermanidis and N. Fakotakis: Towards a Bayesian Stochastic Part-Of-Speech and Case Tagger of Natural Language Corpora, CORPUS LINGUISTICS 2003, Lancaster University (UK), 28 - 31 March, 2003.

[C28] M. Maragoudakis, E. Kavallieratou, N. Fakotakis: Incorporating Conditional Independence Assumption with Support Vector Machines to enhance Handwritten Character Segmentation Performance, ICPR 2002, 16th International Conference of the International Association of Pattern Recognition, Vol. III, pp. 911-914, Quebec-Canada, 2002.

[C29] M. Maragoudakis, K. Kermanidis, N. Fakotakis, G. Kokkinakis: Combining Bayesian and Support Vector Machines Learning to automatically complete Syntactical Information for HPSG-like Formalisms, LREC 2002, 3rd International Conference on Language Resources and Evaluation, Las Palmas, Vol. 1, pp. 93-100, Spain, May 29-31, 2002.

[C30] M. Maragoudakis, E. Kavallieratou and N. Fakotakis: Improving Handwritten Character Segmentation by Incorporating Bayesian Knowledge with Support Vector Machines, ICASSP 2002, IEEE International Conference on Acoustic, Speech and Signal Processing, Orlando, Florida, USA, May 13 -17, 2002.

[C31] Rainer Siemund, Barbara Heuft, Khalid Choukri, Ossama Emam, Emmanuel Maragoudakis, Herbert Tropf, Oren Gedge, Sherrie Shammass, Asuncion Moreno, Albino Nogueiras Rodriguez, Imed Zitouni, Dorota Iskra: OrienTel - Multilingual access to interactive communication services for the Mediterranean and the Middle East, LREC 2002, 3rd International Conference on Language Resources and Evaluation, Las Palmas, Vol. 1, pp. 887-891, Spain, May 29-31, 2002.

[C32] Rainer Siemund, Barbara Heuft, Khalid Choukri, Ossama Emam, Emmanuel Maragoudakis, Herbert Tropf, Oren Gedge, Sherrie Shammass, Asuncion Moreno, Albino Nogueiras Rodriguez, Imed Zitouni, Dorota Iskra: OrienTel – Arabic speech resources for the IT market, Proceedings of the Arabic workshop held in the Third Int. Conference on Language Resources and Evaluation, Las Palmas, Canarias, Spain.

[C33] I. Zitouni, J. Olive, D. Iskra, K. Choukri, O. Emam, O. Gedge, M. Maragoudakis, H. Tropf, A. Moreno, A. Rodriguez, B. Heuft, R. Siemund: OrienTel: Speech-Based Interactive Communication Applications for the Mediterranean and the Middle East, ICSLP 2002, 7th International Conference on Spoken Language Processing, pp. 325-328, Denver-Colorado, USA, Sept. 16-20, 2002.

[C34] M. Maragoudakis, B.Kladis, A. Tsopanoglou, K. Sgarbas, N. Fakotakis: Natural Language in Dialogue Systems. A Case Study on a Medical Application , PC-HCI 2001, Panhellenic Conference, with International Participation, in Human–Computer Interaction, pp. 197-201, Patras Greece, Dec. 7-9, 2001.

[C35] M. Maragoudakis, K. Kermanidis, N. Fakotakis, G. Kokkinakis: Learning Automatic Acquisition of Subcategorization Frames using Bayesian Inference and Support Vector Machines , ICDM '01, The 2001 IEEE International Conference on Data Mining, San Jose, pp. 623-625, Nov. 29 – Dec. 2, 2001.

[C36] N. K. Tselios, M. Maragoudakis, I. M. Avouris, N.Fakotakis, I. Kordaki: Automatic diagnosis of student problem solving strategies using Bayesian Networks , 5th Panhellenic Conference in Mathematics and Informatics in Education, Thessalonica, Oct. 12-14, 2001.

[C37] M. Maragoudakis, E. Kavallieratou, N. Fakotakis and G. Kokkinakis: How Conditional Independence Assumption affects Handwritten Character Segmentation, IAPR, ICDAR’01, 6th International Conference on Document Analysis and Recognition, pp. 246-250, Seattle, Washington, U.S.A, Sept. 10-13, 2001.

[C38] M. Maragoudakis, B. Kladis, A. Tsopanoglou, K. Sgarbas and N. Fakotakis: Human-Computer Interaction using Natural Language. An Application in the Medical Treatment Domain, ΚΤΗΣΙΒΙΟΣ: Πανελλήνιο Συνέδριο Αυτοματισμού, Ρομποτικής και Βιομηχανικής Παραγωγής, Σαντορίνη, Ελλάδα.

[C39] M. Maragoudakis, K. Kermanidis, G. Kokkinakis: Learning Subcategorization Frames from Corpora: A Case Study for Modern Greek, Proceedings of COMLEX 2000, Workshop on Computational Lexicography and Multimedia Dictionaries, pp. 19-22, Kato Achaia, Greece, 22-23 September 2000.

ΔΙΠΛΩΜΑΤΑ ΕΥΡΕΣΙΤΕΧΝΙΑΣ

[1] Τσέλιος Ν., Μαραγκουδάκης Μ. (2004). Συσκευή και μέθοδος αυτόματης συγγραφής κειμένου σε ψηφιακές συσκευές περιορισμένου αριθμού πλήκτρων. Oργανισμός Βιομηχανικής Ιδιοκτησίας, Αθήνα. (ΑΡ. ΔΕ 20030100441/ΟΒΙ).

[2] Tselios N., Maragoudakis M. (2004). Method and apparatus for automatic text input insertion in digital devices with a restricted number of keys. European Patent Office, Munich, Germany.

ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΕΤΕΡΟΑΝΑΦΟΡΕΣ

Το Google Scholar© αναφέρει τον αριθμό 104 με δείκτη Hirsh 7.0. Μετά από εκτενέστερη έρευνα έχουν καταγραφεί οι κάτωθι: (click στο σύνδεσμο για περισσότερες πληροφορίες)

Στο Παράρτημα Β υπάρχει αναλυτική λίστα με τις λεπτομέρειες των άρθρων.

Player modeling impact on player's entertainment in computer games…. Αναφορά σε 37 άρθρα .

Preference learning for cognitive modeling: a case study on entertainment preferences…Αναφορά σε 20 άρθρα

Accurate and large-scale privacy-preserving data mining using the election paradigm…Αναφορά σε 10 άρθρα.

Learning subcategorization frames from corpora: A case study for modern GreekΑναφορά σε 13 άρθρα

Bayesian Induction of intonational phrase breaksΑναφορά σε 10 άρθρα .

Improving SMS usability using Bayesian networksΑναφορά σε 5 άρθρα .

Improving SMS usability using Bayesian networksΑναφορά σε 5 άρθρα .

Learning Greek verb complements: addressing the class imbalanceΑναφορά σε 5 άρθρα

Meteobayes: Effective plan recognition in a weather dialogue systemΑναφορά σε 4 άρθρα

Natural language in dialogue systems. A case study on a medical applicationΑναφορά σε 3 άρθρα

Improving handwritten character segmentation by incorporating Bayesian knowledge with support vector machinesΑναφορά σε 3 άρθρα

Random forests identification of gas turbine faultsΑναφορά σε 3 άρθρα

Combining bayesian and support vector machines learning to automatically complete syntactical information for HPSG-like formalisms Αναφορά σε 3 άρθρα

Accuracy in privacy-preserving data mining using the paradigm of cryptographic electionsΑναφορά σε 3 άρθρα

Bayesian reinforcement for a probabilistic neural net part-of-speech taggerΑναφορά σε 2 άρθρα

Domain knowledge acquisition and plan recognition by probabilistic reasoningΑναφορά σε 2 άρθρα

Mining Natural Language Programming Directives with Class-Oriented Bayesian NetworksΑναφορά σε 2 άρθρα

Influence of conditional independence assumption on verb subcategorization detection Αναφορά σε 2 άρθρα

Learning automatic acquisition of subcategorization frames using Bayesian inference and support vector machinesΑναφορά σε 2 άρθρα

Enhancing user support in open problem solving environments through Bayesian Network inference techniquesΑναφορά σε 1 άρθρο

Bayesian Feature Construction Αναφορά σε 1 άρθρο

User modeling and plan recognition under conditions of uncertaintyΑναφορά σε 1 άρθρο

Statistical decision making from text and dialogue corpora for effective plan recognitionΑναφορά σε 1 άρθρο

A medical, description logic based, ontology for skin lesion imagesΑναφορά σε 1 άρθρο

Επίσης από μια πιο διεξοδική αναζήτηση βρέθηκαν οι παρακάτω αναφορές σε διάφορα άρθρα μου:

[1]. Merja Oja, Samuel Kaski, and Teuvo Kohonen (2003), Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001 Addendum, Neural Computing Surveys, 3: 1-156.

[2] Daniel Zeman, “Can Subcategorization Help a Statistical Dependency Parser?” In: Proceedings of the 19th International Conference on Computational Linguistics (Coling 2002). Zhongyang Yanjiuyuan (Academia Sinica), Taipei,Taiwan, 2002.

[3]. Izaskun Aldezabal, Maxux Aranzabe, Koldo Gojenola , Kepa Sarasola, Aitziber Atutxa (2002), Learning Argument/Adjunct Distinction for Basque, In Proceedings of the workshop of the ACL (Association for Computational Linguistics) Special Interest Group on the Lexicon, Philadelphia, July 2002, pp. 42-50.

[4]. Jorge Navarrete García, “Mejora en el algoritmo de segmentación para el reconocimiento de caracteres de telegramas escritos por el Gral. Porfirio Díaz”, Tesis como requisito parcial para obtener el título en Licenciatura en Ingeniería en Sistemas Computacionales, University de las Américas-Puebla, Mexico.

[5]. Ergina Kavallieratou, Kyriakos Sgarbas, Nikos Fakotakis and George Kokkinakis, “Handwritten Word Recognition based on Structural Characteristics and Lexical Support”, Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR 2003).

[6]. Nikolaos Tselios, Nikolaos Avouris, and Maria Kordaki. “Student Task Modeling in Design and Evaluation of Open Problem-Solving Environments”, Education and Information Technologies, 7(1), 17-40, 2002.

[7]. Edgard Shen, “Your Turn: Interactive Story Continuing Agent”, Technical Report, 2003.

[8]. Khaled Elghamry, “A Generalized Cue-Based Approach to the Automatic Acquisition of Subcategorization Frames”, Doctor of Philosophy in the Department of Linguistics, Indiana University, May 2004.

[9]. Panos Zervas, Gerasimos Xydas, Nikos Fakotakis, George Kokkinakis and George Kouroupetroglou, Evaluation of Corpus Based Tone Prediction in Mismatched Environments for Greek TtS Synthesis, Proc. 8th Int. Conf. on Spoken Language Processing (INTERSPEECH - ICSLP), Jeju, Korea, 4-8 Oct. 2004.

[10]. Georgios N. Yannakakis and John Hallam, A Scheme for Creating Digital Entertainment with Substance, in Proceedings of the Workshop on Reasoning, Representation, and Learning in Computer Games, 19th International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, UK, 2005.

[11]. Jakub Fast and Adam Przepiórkowski, Automatic Extraction of Polish Verb Subcategorization, An Evaluation of Common Statistics, In the Proceedings of the 2nd Language & Technology Conference, pp. 191-195, Poznań, Poland 2005.

[12]. G. Nalbantov, R. Bauer and I.G. Sprinkhuizen-Kuyper, Equity Style Timing using Support Vector Regressions, Proceedings of the Workshop W4 on Data Mining and Adaptive Modelling Methods for Economics and Management (IWAMEM-04), pp. 20-40, 2004.

[13]. Experimental Evaluation of Tree-Based Algorithms for Intonational Breaks Representation, Panagiotis Zervas, Gerasimos Xydas, Nikolaos Fakotakis, George Kokkinakis, and Georgios Kouroupetroglou, Lecture Notes in Computer Science, Text, Speech and Dialogue, Volume 3658/2005, Pages 334-341.

[14]. SHORT-HORIZON VALUE-GROWTH STYLE ROTATION WITH SUPPORT VECTOR MACHINES,PhD thesis, Georgi Nalbantov, International Economic Studies, November 2003 Maastricht University Faculty of Economics and Business Administration

[15]. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi Nalbantov, Stijn Vanderlooy: Version Space Support Vector Machines. ECAI 2006, 17th European Conference on Artificial Intelligence: 809-810.

[16]. E. Kavallieratou, N. Fakotakis, G. Kokkinakis, "Handwritten Character Recognition Based on Structural Characteristics," icpr, p. 30139, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.

[17]. I. Mporas, N. Fakotakis: Least Squares Support Vector Machine based Phoneme Recognition , SPECOM 2005, pp. 377-380, Patras, Greece, Oct. 2005.

[18]. Template Driven Dialogue Management Approach in the Framework of Multimodal Interaction ,Ph.D. thesis, Miroslav Melichar, Supervisor: Dr. Martin Rajman

[19]. Marita Ailomaa, Miroslav Melichar, Agnes Lisowska, Martin Rajman, Susan Armstrong: Archivus: A Multimodal System for Multimedia Meeting Browsing and Retrieval. ACL 2006

[20]. David Thue and Vadim Bulitko. Modelling Goal-directed Players in Digital Games. 2006. in Proceedings of the Artificial Intelligence and Interactive Digital Entertainment conference (AIIDE). Marina del Rey, California.

[21]. Zervas P., Xydas G., Fakotakis N., Kokkinakis G. and Kouroupetroglou G,Evaluation of Corpus Based Tone Prediction in Mismatched Environments for Greek TtS Synthesis Proceedings of the 8th International Conference of Spoken Language Processing , pages 761-764 , 2004.

[22]. Kiarash Mizanian, Morteza Analoui, Reza Zakeri, Shahab Tasharrofi, "User Modeling Using Network Layer Information," icniconsmcl, p. 48, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006.

[23]. On Visual Similarity Based 3D Model Retrieval" Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen and Ming Ouhyoung, Computer Graphics Forum, Vol. 22, No. 3, pp. 223~232, Sept. 2003. (SCI)

[24]. "On Visual Similarity Based 3D Model Retrieval" Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen and Ming Ouhyoung, EUROGRAPHICS, Granada, Spain, Sept. 2003.

[25]. Xianghui Wei, Shaoping Ma. A survey of touching character segmentation algorithms, Journal of Computer Science, 2004. (στην κινεζική γλώσσα, ελεύθερη μετάφραση από το BabelFish©)

[26]. Kermanidis K. The Effect of Borderline Examples On Syntax Learning. Advances in Modelling. Series D: Computer Science and Statistics. Association for the Advancement of Modelling & Simulation.

Παράρτημα Α:

Επιτροπές τμήματος Μ.Π.Ε.Σ.:

Συμμετοχές στο διοικητικό έργο του τμήματος:

1. Επιτροπή Εσωτερικής Αξιολόγησης Τμήματος2. Επιτροπή LLP Erasmus/Leonardo

3. Επιτροπή Εκπόνησης Ωρολογίων Προγραμμάτων και Προγραμμάτων Εξετάσεων

Διπλωματικές εργασίες:

Έχει λάβει επιβλέψει τις παρακάτω διπλωματικές εργασίες κατά τη θητεία του στο τμήμα Μ.Π.Ε.Σ. ως λέκτορας:

Όνομα ΤίτλοςΚοντός Κωνσταντίνος-Τιούλης Γεώργιος

ΤΑΞΙΝΟΜΗΣΗ ΥΦΟΥΣ ΣΕ ΑΠΟΨΕΙΣ ΕΛΛΗΝΩΝ ΠΟΛΙΤΩΝ ΣΕ ΣΧΕΣΗ ΜΕΠΑΡΕΧΟΜΕΝΕΣ ΥΠΗΡΕΣΙΕΣΗΛΕΚΤΡΟΝΙΚΗΣ ΔΙΑΚΥΒΕΡΝΗΣΗΣ ΜΕΣΩ ΤΗΣ ΠΛΑΤΦΟΡΜΑΣ RAPIDMINER

Παπαναστασίου Ανδρέας-Βογιατζόγλου Κωνσταντίνος

ΜΕΛΕΤΗ ΤΟΥ ΤΡΟΠΟΥ ΔΙΑΒΙΩΣΗΣ ΕΝΟΣ ΦΟΙΤΗΤΗ ΤΟΥ ΠΑΝΕΠΙΣΤΗΜΙΟΥ ΑΙΓΑΙΟΥ ΚΑΙ ΣΥΣΧΕΤΗΣΗ ΜΕ ΤΗΝ ΑΘΛΗΤΙΚΟ -ΙΑΤΡΙΚΗ ΤΟΥ ΚΑΤΑΣΤΑΣΗ ΜΕ ΧΡΗΣΗ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ

Λινάρδος Ευάγγελος Forecasting Stock Markets and Trading Systems Using Financial News and Mining Techniques

Μπεσαράτ Τζέριες ΤΕΧΝΙΚΕΣ ΤΑΞΙΝΟΜΗΣΗΣ ΑΠΟΤΕΛΕΣΜΑΤΩΝ ΜΗΧΑΝΩΝ ΑΝΑΖΗΤΗΣΗΣΜΕ ΒΑΣΗ ΤΗΝ ΙΣΤΟΡΙΑ ΤΟΥ ΧΡΗΣΤΗ

Παπασπυρόπουλος Κωνσταντίνος

ΑΝΑΛΥΣΗ ΧΩΡΟ-ΧΡΟΝΙΚΩΝ ΠΕΡΙΒΑΛΛΟΝΤΟΛΟΓΙΚΩΝ ΔΕΔΟΜΕΝΩΝ

Γκιουλής Αθανάσιος-Παπαγεωργίου Γεώργιος

ΗΛΕΚΤΡΟΝΙΚΗ ΠΛΑΤΦΟΡΜΑ ΔΙΑΧΕΙΡΙΣΗΣ ΔΙΠΛΩΜΑΤΙΚΩΝ ΕΡΓΑΣΙΩΝ ΓΙΑΤΟ ΤΜΗΜΑ ΜΠΕΣ

Παντελή Αλέξανδρος ΕΞΟΡΥΞΗ ΓΝΩΣΗΣ ΑΠΟ ΔΕΔΟΜΕΝΑ ΜΕ ΔΙΑΤΗΡΗΣΗ ΤΗΣ ΙΔΙΩΤΙΚΟΤΗΤΑΣ ΧΡΗΣΙΜΟΠΟΙΩΝΤΑΣ ΝΕΥΡΩΝΙΚΑ ΔΙΚΤΥΑ RBF ΓΙΑ ΟΡΙΖΟΝΤΙΑ ΚΑΤΑΤΕΤΜΗΜΕΝΑ ΔΕΔΟΜΕΝΑ ΣΕ ΠΕΡΙΒΑΛΛΟΝ ΜΗ ΕΜΠΙΣΤΩΝ ΧΡΗΣΤΩΝ

Παπαδόπουλος Δημήτριος

ΤΕΧΝΙΚΕΣ ΕΞΟΡΥΞΗΣ ΔΕΔΟΜΕΝΩΝ ΣΕ ΣΥΣΤΗΜΑ ΥΠΟΣΤΗΡΙΞΗΣ ΑΚΑΔΗΜΑΙΚΩΝ ΕΠΑΓΓΕΛΜΑΤΙΚΩΝ ΑΠΟΦΑΣΕΩΝ

Σπίνου Μαρία ΔΙΑΣΦΑΛΙΣΗ ΕΜΠΙΣΤΕΥΤΙΚΟΤΗΤΑΣ ΣΕ ΧΩΡΙΚΑ ΔΥΝΑΜΙΚΑ ΔΕΔΟΜΕΝΑ ΥΛΟΠΟΙΩΝΤΑΣ ΤΟ ΠΡΟΤΕΙΝΟΜΕΝΟ ΒΑΣΙΚΟ ΠΕΡΙΒΑΛΛΟΝ ΓΙΑ ΙΚΑΝΟΠΟΙΗΣΗ K-anonymity

Γκούβας Φρίξος Σύστημα εξόρυξης γνώσης και υποστήριξης αποφάσεων σε περιβαλλοντικά δεδομένα αλιείας, "FishCast".

Παπαδόπουλος Σπυρίδων

Δίκτυα Ακτινικής Βάσης σε Σώματα Δεδομένων μεγάλου όγκου σε SIMD Υπολογιστικά Συστήματα

Παντελίδης Πρόδρομος

Διάγνωση Βλαβών Μηχανολογικού Εξοπλισμού Μεγάλης Κλίμακας με Χρήση Μεθόδων Εξόρυξης Δεδομένων

Γκλαβάρας Εμμανουήλ (Μεταπτυχιακός)

Αυτοματοποιημένη Αναγνώριση Τοξικών Ιζημάτων Ίριδας

Έχει λάβει μέρος ως μέλος τριμελούς επιτροπής στις ακόλουθες διπλωματικές εργασίες:

Ονομα ΤίτλοςΦαφαλιος Παύλος meta-seeker: Αλγόριθμος ανατροφοδότησης εξατομικευμένης πληροφορίας

από πολλαπλές Διαδκτυακές υπηρεσίες αναζήτησηςΜαταντζής Γεώργιος

Συμβολη της εργασιας, του κεφαλαιου, του εξοπλισμου πληροφορικης και του ανασχεδιασμου των διαδικασιων στην παραγωγικοτητα των επιχειρησεων με χρηση μη γραμμικων μεθοδων βασισμενων σε δενδρα αποφασης

Γαρούφας Ανδρέας ΧΡΗΣΗ ΜΕΘΟ∆ΩΝ ΠΡΟΣΟΜΟΙΩΣΗΣ ∆ΥΝΑΜΙΚΗΣ ΣΥΣΤΗΜΑΤΩΝ ΚΑΙ ΕΞΟΡΥΞΗΣ ∆Ε∆ΟΜΕΝΩΝ ΓΙΑ ΤΗΝ ΥΠΟΣΤΗΡΙΞΗ ΤΗΣ ΛΗΨΗΣ ΑΠΟΦΑΣΕΩΝ

Καρυπίδης Μιχάλης

Μελέτη Οπτοηλεκτρονικων Διατάξεων για Νέας Γενιάς Μνήμες ΗΥ

Πετρόπουλος Ευάγγελος

Σχεδίαση Κυκλμάτων με χρήση τρανζίστορ ενός ηλεκτρονίου (SETs)

Μπαμπάς Κωνσταντίνος

Αναζήτηση και διαμοιρασμός πληροφορίας σε μεγάλα δίκτυα πρακτόρων

Χαραλάμπους Ανδρέας

Ηλεκτρονικός συμφοιτητής: Σύστημα παροχής συμβουλών για την παρακολούθηση του προγράμματος σπουδών

Ματθόπουλος Κωνσταντίνος

Μελέτη εκτίμησης της εξέλιξης τεχνολογιών παγκόσμιου ιστού

Ευαγόρου Ανδρέας Word Spotting & Clustering Εικόνων Χειρόγραφων ΛέξεωνΧατζηχαραλάμπους Ευάγγελος

Αναγνώριση Συγγραφέα Πηγαίου Κώδικα σε Ασύμετρα Σύνολα Εκπαίδευσης

Κοσμάτος Νικόλαος

Εργαλεία Διάχυσης και Διαχείρισης Ερευνητικών και Αναπτυξιακών έργων στο FP7/ICT

Δημητρίου Ιωάννης Πολιτικές ασφάλειας και προστασίας της ιδιωτικοτητας σε περιβάλλον cloud computing

Μεϊδάνης Χαράλαμπος

Μελέτη της Δομής και Λειτουργίας των LTE δικτύων κινητών επικοινωνιών και των επεκτ΄άσεων τους με χρήση Femtocells

Κουλιζάκης Ιωάννης-Πιτσιώνας Αντώνιος

Ανάπτυξη Περιβάλλοντος κεντρικής αποστολής μηνυματων πολιτικής σε χρήστες πολλαπλών κοινωνικών μέσων WEB2.0 και ταυτόχρονης συλλογής και οπτικοποίησης της ανταπόκρισης τους

Κυριακόπουλος Στάυρος

dbMark: Σύστημα συγκριτικής αξιολόγησης για σχήματα ψηφιακής υδατογράφησης σχεσιακών βάσεων δεδομένων

Καλύβας Χρήστος ΥΛΟΠΟΙΗΣΗ ΤΡΟΠΩΝ ΛΕΙΤΟΥΡΓΙΑΣ ΚΡΥΠΤΟΓΡΑΦΙΚΩΝ ΑΛΓΟΡΙΘΜΩΝ ΣΕ ALLO

Αποστολάτος Θεόδωρος - Χριστοπούλου Ειρήνη

Αποτελεσματικότητα ηλεκτρονικών κουπονιών και προώθηση μέσω Group Buying Systems (GBS)"

Κούρτης Ιωαννης Ανίχνευση λογοκλοπής σε κείμενα με χρήση αλγορίθμων ταιριάσματος βιολογικών ακολουθιών

Βερυκόκκου Μαρία-Γεροντή Αγγελική

Η Επίδραση της Εθνικής Κουλτούρας στις Προτιμήσεις Ιδιωτικότητας των Χρηστών του Facebook

Μπαρμπάτσαλου Κωνσταντία - Φέκας Δημήτριος

Επαυξημένη Πραγματικότητα στο Κινητό Τηλέφωνο

Σίκαλος Εμμανουήλ E-Learning (μάθηση με χρήση νέων τεχνολογιών )Κωνσταντινίδης Ιωάννης

Internet of Services and Cloud Computing

Δεμερτζής Κωνσταντίνος

Conceptual Framework, Interoperability, Standards & Network Architecture for Smart Energy Grids

Κωσταμένα Ελένη Επικοινωνία μεταξύ οχημάτων ( INTER – VEHICULAR COMMUNICATION – IVC )

Λέτσιου 'Αννα Κινητό ηλεκτρονικό επιχειρείν και barcode : προκλήσεις και καινοτόμες

υπηρεσίες μάρκετινγκ Σκαρκαλά Μαρία Ελένη

Privacy Preserving Data Mining

Μπεσαρατ Τζέριες Δημιουργία Αυτόματης Σύνθεσης Περιλήψεων από Σχόλια Χρηστών για Ηλεκτρονικές Υπηρεσίες και Προϊόντα

Ματθαίου Ειρήνη Επεξεργασία Εικόνων Ληξιαρχικού Αρχείου και Εξαγωγή ΠληροφορίαςΜπαλαφούτης Αθανάσιος

Adaptive Strategies for Solving Constraint Satisfaction Problems (Διδακτορική Διατριβή)

Παράρτημα Β:

Λεπτομερής Λίστα Ετεροαναφορών:

1: Player Modeling Impact on Player’s Entertainment in Computer GamesΑναφορές: (35)[1] Towards automatic personalised content creation for racing games, Togelius, J., De

Nardi, R., Lucas, S.M., Computational Intelligence and Games, 2007. CIG 2007. IEEE

Symposium on, 252 – 259, 1-5 April 2007 .

[2] TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES, Georgios N. Yannakakis & John Hallam , Applied Artificial Intelligence: An International Journal Volume 21, Issue 10, 2007, 933-971 , 09 Nov 2007

[3] Making Racing Fun Through Player Modeling and Track Evolution, Julian Togelius, Renzo De Nardi, and Simon M. Lucas, Conference Paper, 9 pages, 15 Oct 2006

[4] Player modeling using self-organization in Tomb Raider: Underworld, Anders Drachen, Alessandro Canossa and Georgios N. Yannakakis, Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on , 1– 8, 7-10 Sept. 2009

[5] AI in Computer Games: Generating Interesting Interactive Opponents by the use of Evolutionary Computation, Georgios N. Yannakakis, Informatics PhD thesis collection,235 pages, Dec-2005

[6] Real-Time Game Adaptation for Optimizing Player Satisfaction, Georgios N. Yannakakis, Member, IEEE, and John Hallam , Computational Intelligence and AI in Games, IEEE Transactions on , 121 – 133, June 2009

[7] How to Model and Augment Player Satisfaction: A Review, Georgios N. Yannakakis Center for Computer Games Research IT-University of Copenhagen, WOCCI 2008: The 1st Workshop on Child, Computer, and Interaction Chania, Crete, Greece, 5 pages, October 23, 2008

[8] Experience-Driven Procedural Content Generation, Georgios N. Yannakakis, Member, IEEE, and Julian Togelius, Member, IEEE, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 2, NO. 3, 147 - 161 , July-Sept. 2011

[9] Computational Intelligence in Racing Games, Julian Togelius, Simon M. Lucas and Renzo De Nardi, ADVANCED INTELLIGENT PARADIGMS IN COMPUTER GAMES Studies in Computational Intelligence, 2007, Volume 71/2007, 39-69 pages, DOI: 10.1007/978-3-540-72705-7_3

[10] A Scheme for Creating Digital Entertainment with Substance, Georgios N. Yannakakis and John Hallam, Proceedings of the 2005 IJCAI Workshop on Reasoning, Representation, and Learning in Computer Games Edinburgh, Scotland ,119-124 pages, 31 July 2005

[11] Optimization, Imitation and Innovation:Computational Intelligence and Games, Julian Togelius, 195 pages, September 2007

[12] Player Modeling Evaluation for Interactive Fiction, Manu Sharma, Manish Mehta, Santiago Ontanon, and Ashwin Ram, Proceedings of The Artificial Intelligence and Interactive Digital Entertainment Conference Workshop on Optimizing Player Satisfaction, 19-24 pages, 2007/6

[13] Modelling Goal-directed Players in Digital Games, David Thue and Vadim Bulitko , Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE). Marina del Rey, CA, USA., 86-91, 2006

[14] Personality-based Adaptation for Teamwork in Game Agents, Chek Tien Tan and Ho-lun Cheng, 37-42 pages

[15] Real-time adaptation of augmented-reality games for optimizing player satisfaction, Georgios N. Yannakakis, Member, IEEE, and John Hallam, Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On , 103 - 110 , 15-18 Dec. 2008

[16] DRAMA MANAGEMENT AND PLAYER MODELING FOR INTERACTIVE FICTION GAMES, MANU SHARMA, SANTIAGO ONTAN˜ON´ , MANISH MEHTA, AND ASHWIN RAM, Computational Intelligence Volume 26, Issue 2, pages 183–211, May 2010

[17] Player Modeling for Intelligent Difficulty Adjustment, Olana Missura and Thomas Gartner, DISCOVERY SCIENCE Lecture Notes in Computer Science, Volume 808/2009, DOI: 10.1007/978-3-642-04747-3_17, 197-211, 2009

[18] IMPLANT: An Integrated MDP and POMDP Learning Agent for Adaptive Games, Chek Tien Tan and Ho-lun Cheng, Proceedings of the Fifth Artificial Intelligence for Interactive Digital Entertainment Conference , 94-99, 2009

[19] Drama Management Evaluation for Interactive Fiction Games, Manu Sharma, Santiago Ontan˜on, Manish Mehta, and Ashwin Ram, Computational Intelligence ,183-211, 2010/5/1

[20] A Combined Tactical and Strategic Hierarchical Learning Framework in Multi-agent Games, Chek Tien Tan, Ho-lun Cheng, 8 pages[21] Personalized, Adaptive Digital Educational Games Using Narrative Game-Based Learning Objects , Stefan Göbel, Viktor Wendel, Christopher Ritter and Ralf Steinmetz, ENTERTAINMENT FOR EDUCATION. DIGITAL TECHNIQUES AND SYSTEMS Lecture Notes in Computer Science, Volume 6249/2010, DOI: 10.1007/978-3-642-14533-9_45, 438-445, 2010

[22] Capturing Player Enjoyment in Computer Games, Georgios N. Yannakakis and John Hallam, ADVANCED INTELLIGENT PARADIGMS IN COMPUTER GAMES Studies in Computational Intelligence, Volume 71/2007, DOI: 10.1007/978-3-540-72705-7_8, 175-201, 2007

[23] Extending Neuro-evolutionary Preference Learning through Player Modeling, Hector P. Martınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE, Computational Intelligence and Games (CIG), 2010 IEEE Symposium on , 313 - 320 , 18-21 Aug. 2010

[24] TAP: An Effective Personality Representation for Inter-Agent Adaptation in Games, Chek Tien Tan and Ho-lun Cheng, Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference , 120-125 , 2008

[25] Modelling and evaluation of complex scenarios with the Strategy Game Description Language, Tobias Mahlmann, Julian Togelius, and Georgios N. Yannakakis, 2011 IEEE Conference on Computational Intelligence and Games (CIG’11) , 174-181, Aug. 31 2011-Sept. 3 2011

[26] Data Mining for Player Modeling in Videogames, Kostas Anagnostou, Manolis Maragoudakis, 2009 13th Panhellenic Conference on Informatics, 30-34, 10-12 Sept. 2009

[27] Tactical Agent Personality, Chek Tien Tan and Ho-lun Cheng, Hindawi Publishing Corporation International Journal of Computer Games Technology Volume 2011, Article ID 107160, 16 pages, 2011

[28] Predicting Dynamic Difficulty, Olana Missura and Thomas Gärtner, Ninth Workshop on Mining and Learning, 7 pages, 2011

[29] Player Modeling for Intelligent Difficulty Adjustment (Resubmission), Olana Missura and Thomas Gärtner, Ninth Workshop on Mining and Learning, 8 pages, 2009

[30] Offline Learning for Online Difficulty Prediction, Olana Missura and Martin Mladenov, 6 pages

[31] Costas Boletsis, Dimitra Chasanidou, Panagiotis Pandis, and Katia Lida Kermanidis, 12 pages

[32] ADAPTIVE AGENT ARCHITECTURES IN MODERN VIRTUAL GAMES, TAN CHEK TIEN, A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF COMPUTER SCIENCE NATIONAL UNIVERSITY OF SINGAPORE, 167 pages, 2009

[33] A general framework supporting user-adaptive learning for highly interactive content in virtual learning

environments, F. Javier Torrente Vigil, Master en Investigación en Informática, Facultad de Informática,

Departamento de Ingeniería del Software e Inteligencia Artificial, curso 2008-2009, 106, 01 Feb 2010

2:Preference Learning for Cognitive Modeling: A Case Study on Entertainment Preferences

[1] Modeling player experience in Super Mario Bros, Chris Pedersen, Julian Togelius and Georgios N. Yannakakis, Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on, 132 - 139 , 7-10 Sept. 2009

[2] Modeling Player Experience for Content Creation, Christopher Pedersen, Julian Togelius, Member, IEEE, and Georgios N. Yannakakis, Member, IEEE, IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 2, NO. 1, MARCH 2010, 54 - 67 , March 2010

[3] Real-Time Game Adaptation for Optimizing Player Satisfaction, Georgios N. Yannakakis, Member, IEEE, and John Hallam , Computational Intelligence and AI in Games, IEEE Transactions on , 121 – 133, June 2009

[4] Experience-Driven Procedural Content Generation, Georgios N. Yannakakis, Member, IEEE, and Julian Togelius, Member, IEEE, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 2, NO. 3, 147 - 161 , July-Sept. 2011

[5] Towards affective camera control in games, Georgios N. Yannakakis, Héctor P. Martínez, Arnav Jhala, User Model User-Adap Inter (2010) 20:313–340 DOI 10.1007/s11257-010-9078-0, 313-340, 8 October 2010

[6] Preference Learning for Affective Modeling, Georgios N. Yannakakis, Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on, 1 – 6, 10-12 Sept. 2009

[7] Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory, Alessio Dore, Student Member, IEEE, Andrea Fabio Cattoni, Member, IEEE, and Carlo S. Regazzoni, Senior Member, IEEE, Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 1191 - 1205, Nov. 2010

[8] Extending Neuro-evolutionary Preference Learning through Player Modeling, Hector P. Martınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE, Computational Intelligence and Games (CIG), 2010 IEEE Symposium on , 313 - 320 , 18-21 Aug. 2010

[9] Story Planning: Creativity Through Exploration,Retrieval, and Analogical Transformation, Mark O. Riedl, MINDS AND MACHINES Volume 20, Number 4, DOI: 10.1007/s11023-010-9210-2, 589-614, 9 October 2010

[10] An Inclusive Taxonomy of Player Modeling, Adam M. Smith, Chris Lewis, Kenneth Hullett, Gillian Smith, Anne Sullivan, Tech. Rep. UCSC-SOE-11-13, University of California, Santa Cruz, 18 pages, 2011/5

[11] Automatic Recognition of Boredom in Video Games Using Novel Biosignal Moment-Based Features, Dimitris Giakoumis, Dimitrios Tzovaras, Member, IEEE, Konstantinos Moustakas, Member, IEEE, and George Hassapis, Senior Member, IEEE, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 2, NO. 3, JULY-SEPTEMBER 2011, 119 - 133 , July-Sept. 2011

[12] A Message-Scheduling Scheme for Energy Conservation in Multimedia Wireless Systems, Xiaojun Ruan, Associate Member, IEEE, Shu Yin, Student Member, IEEE, Adam Manzanares, Member, IEEE, Mohammed Alghamdi, and Xiao Qin, Senior Member, IEEE, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 41, NO. 2, MARCH 2011, 272 - 283 , March 2011

[13] Hierarchical Preference Learning for Light Control from User Feedback, Amir Hossein Khalili, Chen Wu, and Hamid Aghajan, Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on , 56 - 62 , 13-18 June 2010

[14] Generating Missions and Spaces for Adaptable Play Experiences, Joris Dormans and Sander Bakkes, IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 3, NO. 3, SEPTEMBER 2011, 216 - 228, Sept. 2011

[15] Learning from Preferences and Selected Multimodal Features of Players, Georgios N. Yannakakis, ICMI - MLMI '09 Proceedings of the 2009 international conference on Multimodal interfaces, 115-118, 2009

[16] Inductive Transfer Learning for Handling Individual Differences in Affective Computing, Dongrui Wu and Thomas D. Parsons, AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION Lecture Notes in Computer Science, Volume 6975/2011, DOI: 10.1007/978-3-642-24571-8_15, 142-151, 2011

[17] Feature Analysis for Modeling Game Content Quality, Noor Shaker, Georgios N. Yannakakis, Member, IEEE, and Julian Togelius, Member, IEEE, Computational Intelligence and Games (CIG), 2011 IEEE Conference on, 126 - 133, Aug. 31 2011-Sept. 3 2011

[18] A Game-Based Corpus for Analysing the Interplay between Game Context and Player Experience, Noor Shaker, Stylianos Asteriadis, Georgios N. Yannakakis, and Kostas Karpouzis, AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION Lecture Notes in Computer Science, Volume 6975/2011, DOI: 10.1007/978-3-642-24571-8_68, 547-556, 2011

[19] A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling , Sotirios P. Chatzis Yiannis Demiris, Expert Systems with Applications Volume 39 Issue 8, Pages 7235–7246, 15 June 2012

[20] Learning to learn: An Automated and Continuous Approach to Learning in Imperfect Environments, Hasan Mujtaba, A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY TO THE FAST NATIONAL UNIVERSITY OF COMPUTER & EMERGING SCIENCES, 138 pages, June 2010

[21] Player behavioural modelling for video games, Sander C.J. Bakkes, Pieter H.M. Spronck, Giel van Lankveld, Entertainment Computing Available online 6 January 2012

[22] Ranking vs. Preference: A Comparative Study of Self-reporting, Georgios N. Yannakakis and John Hallam, AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION Lecture Notes in Computer Science, Volume 6974/2011, DOI: 10.1007/978-3-642-24600-5_47, 437-446, 2011

[23] Story Planning Creativity Through Exploration, Retrieval, and Analogical Transformation, Mark O. Riedl, Minds and Machines, 1-26, 2010

3: Bayesian Induction of Intonational Phrase Breaks

[1] Automatic Detection and Classification of Prosodic Events, Andrew Rosenberg, SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE GRADUATE SCHOOL OF ARTS AND SCIENCES, 381 pages, 2009

[2] Development and evaluation of a prosodic database for Greek speech synthesis and research, P. Zervas, N. Fakotakis, G. Kokkinakis, JOURNAL OF QUANTITATIVE LINGUISTICS 2008, VOLUME 15, NUMBER 2, DOI: 10.1080/09296170801961827, PP. 154–184, 15 APR 2008

[3] Learning Methods and Features for Corpus-Based Phrase Break Prediction on Thai, C. Hansakunbuntheung, Ausdang Thangthai, Chai Wutiwiwatchai, Rungkarn Siricharoenchai, Interspeech'2005 – Eurospeech Lisbon, Portugal, September 4-8, 2005

[4] Incorporating Second-Order Information into Two-Step Major Phrase Break Prediction for Korean, Seungwon Kim, Jinsik Lee, Byeongchang Kim, Gary Geunbae Lee, INTERSPEECH 2006 – ICSLP Ninth International Conference on Spoken Language Processing Pittsburgh, PA, USA, September 17-21, 2006

[5] Evaluation of Corpus Based Tone Prediction in Mismatched Environments for Greek TtS Synthesis, Panagiotis Zervas, Nikos Fakotakis, George Kokkinakis, George Kouroupetroglou, Gerasimos Xydas, INTERSPEECH 2004 – ICSLP 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 4-8, 2004

[6] Experimental Evaluation of Tree-Based Algorithms for Intonational Breaks Representation, Panagiotis Zervas, Gerasimos Xydas, Nikolaos Fakotakis, George Kokkinakis, and Georgios Kouroupetroglou, TEXT, SPEECH AND DIALOGUE Lecture Notes in Computer Science, Volume 3658/2005, 743, DOI: 10.1007/11551874_43, 334-341, 2005

[7] Least Squares Support Vector Machine based Phoneme Recognition, Iosif Mporas, Nikos Fakotakis, 5 PAGES, 2005

[8] Evaluation of automatic break insertion for an agglutinative and inflected language, Eva Navas, Inmaculada

Hernáez, Iñaki Sainz , Speech Communication Volume 50, Issues 11–12, Pages 888–899, November–December

2008

[9] Tree-Based Prediction of Prosodic Phrase Breaks on Top of Shallow Textual Features, Gerasimos Xydas,

Panagiotis Zervas, Georgios Kouroupetroglou, Nikolaos Fakotakis, George Kokkinakis, Interspeech'2005 –

Eurospeech Lisbon, Portugal, September 4-8, 2005

[10] The ‘Kiel Corpus of Read Speech’ as a Resource for Speech Synthesis, Caren Brinckmann, Universität des

Saarlandes Fachrichtung 4.7 Allgemeine Linguistik, 104 pages,23. Dezember 2004

[11] Categorial-Grammar-Based Phrase Break Prediction, S. Saychum, C. Hansakunbuntheung, N.

Thatphithakkul, T. Ruangrajitpakorn, C. Wutiwiwatchai, T. Supnithi, A. Chotimongkol, A. Thangthai, Signal

Processing Audio, Speech and Language Processing Paper ID 1148, 954 - 957, 17-19 May 2011

[12] Incorporating Second-Order Information Into Two-Step Major Phrase Break Prediction for Korean,

Seungwon Kim, Jinsik Lee, Byeongchang Kim, Gary Geunbae Lee, INTERSPEECH 2006, September 17-21,

Pittsburgh, Pennsylvania, 4 pages

4: Learning Subcategorization Frames from Corpora:A Case Study for Modern Greek

[1] Abstract SMOOTHING A PROBABILISTIC LEXICON VIA SYNTACTIC TRANSFORMATIONS, by Jason Michael Eisner , Jason Michael Eisner , Supervisor Professor , Mitch Marcus, 2001

[2] Automatic Extraction of Polish Verb Subcategorization An Evaluation of Common Statistics, Jakub Fast and

Adam Przepiórkowski, Collegium Invisibile, ul. Krakowskie Przedmiescie 3 pok. 12, Warsaw, Poland and Institute

of Computer Science, Polish Academy of Sciences, ul. Ordona 21, Warsaw, Poland, 5 pages

[3] Automatic extraction of subcategorization frames for Italian, Dino Ienco, Serena Villata, Cristina Bosco,

Proceedings of the Sixth Language Resources and Evaluation (LREC’08), 7 pages, 2008/5

[4] A generalized cue-based approach to the automatic acquisition of subcategorization frames. Doctoral

dissertation, by Khaled Elghamry, 2004

[5] Automatic Acquisition of Subcategorization Frames for Turkish with Purely Statistical Methods, Yılmaz

Kılıçaslan, Erdinç Uzun, Volkan Agun, Erdem Uçar, INISTA 2007 International Symposium on Innovations in

Intelligent Systems and Applications, 11-15, 2007

[6] Automatic Acquisition of Hungarian Subcategorization Frames, András Serény, Eszter Simon, Anna

Babarczy, 12 pages, 2008

[7] Web-based Acquisition of Subcategorization Frames for Turkish, Yılmaz Kılıçaslan, Erdinç Uzun, Volkan

Agun, Erdem Uçar, ICAISC 2008, 8 pages, 2008

[8] Automatic Acquisition of Hungarian Subcategorization Frames, Eszter Simon, Andras Sereny, Anna

Babarczy, LREC 2010 Workshop Methods for the automatic acquisition of Language Resources and their

evaluation methods PROCEEDINGS, 7-12, May 23, 2010

[9] German Clause-Embedding Predicates: an Extraction and Classification Approach,

Ekaterina Lapshinova-Koltunski, Institut für maschinelle Sprachverarbeitung Universität

Stuttgart, 274, 9. Februar 2010

5: Improving SMS usability using Bayesian networks

[1] A SURVEY OF TOOLS SUPPORTING DESIGN AND EVALUATION OF WEBSITES

BASED ON MODELS OF HUMAN INFORMATION INTERACTION, CHRISTOS

KATSANOS, NIKOLAOS TSELIOS, NIKOLAOS AVOURIS, Volume: 19, Issue: 6 (2010) pp.

755-781

[2] HAND-SIZE VARIATIONS EFFECT ON MOBILE PHONE TEXTING SATISFACTION,

Vimala Balakrishnan, Paul, H.P. Yeow, Ubiquitous Computing and Communication Journal

Volume 2 Number 5, 115-122

[3] Architectural Design of a Short Message Platform of University Employment Based on

Information Technology, Xiaoping Zhao and Benting Wan, S. Lin and X. Huang (Eds.): CSEE

2011, Part IV, CCIS 217, pp. 583–588, 2011

[4] Parallel Computing Technology-based Mobile Search Engine, Juefu Liu and Lijuan Ju,

2010 International Conference On Computer Design And Appliations (ICCDA 2010), V3-328

- V3-330 , 25-27 June 2010

[5] Métamodèle de règles d'adaptation pour la plasticité des interfaces homme-machine, Vincent Ganneau, Gaëlle Calvary, Rachel Demumieux, Proceeding IHM '07

Proceedings of the 19th International Conference of the Association Francophone d'Interaction Homme-Machine, 2007 Article

[6] The methods of constructing dynamic Bayesian networks, 55-62, 2010

6: Accurate and large-scale privacy-preserving data mining using the election paradigm

[1] Privacy-Preserving Aggregation of Time-Series Data, Elaine Shi, T-H. Hubert Chan,

Eleanor Rieffel, Proceedings of NDSS, 17 pages, 2011/2

[2] On the use of economic price theory to find the optimum levels of privacy and information utility in non-perturbative microdata anonymisation, Marek P. Zielinski Martin S. Olivier, Data & Knowledge Engineering, Volume 69, Issue 5, May 2010, Pages 399–423, 2010

[3] Privacy-preserving publishing microdata with full functional dependencies, Hui

Wang, Ruilin Liu, Data & Knowledge Engineering Volume 70, Issue 3, March 2011, Pages 249–268, 2011

[4] Privacy-aware collection of aggregate spatial data, Hairuo Xie, Lars Kulik ,

Egemen Tanin, Data & Knowledge Engineering, Volume 70, Issue 6, June 2011, Pages 576–595, 2011

[5] On the use of economic price theory to determine the optimum levels of privacy

and information utility in microdata anonymisation, Marek P. Zielinski, Pages 133, June 2010

[6] Visualization and the understanding of multidimensional data using Genetic Algorithms: Case study of load patterns of electricity customers, Vahid Golmah Jamshid Parvizian, International Journal of Database Theory and Application Vol. 3, No. 4, December 2010 , Pages 41-56, 2010

[7] A Framework for Access Control with Inference Constraints, Vasilios Katos, Dimitrios Vrakas, Panagiotis Katsaros, 2011 35th IEEE Annual Computer Software and Applications Conference, Pages 289 - 297, 18-22 July 2011

[8] Private Information Extraction over Online Social Networks, Huang Lin, Yuguang Fang, Zhenfu Cao, 11 pages, 2011

[9] Privacy Preserving Tree Augmented Naïve Bayesian Multi–party Implementation on Horizontally Partitioned Databases, Maria Eleni Skarkala, Manolis Maragoudakis, Stefanos Gritzalis, and Lilian Mitrou, TRUST, PRIVACY AND SECURITY IN DIGITAL BUSINESS , Lecture Notes in Computer Science, 2011, Volume 6863/2011, 62-73, DOI: 10.1007/978-3-642-22890-2_6, pp. 62–73, 2011

[10] Learning Structure and Schemas from Heterogeneous Domains in Networked Systems Surveyed, Marenglen Biba and Fatos Xhafa, LEARNING STRUCTURE AND SCHEMAS FROM DOCUMENTS Studies in Computational Intelligence, Volume 375/2011, DOI: 10.1007/978-3-642-22913-8_1, pp.1-16, 2011

7:Learning Greek Verb Complements: Addressing the Class Imbalance

[1] Machine learning for network based intrusion detection: an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data., VEGARD ENGEN, A thesis submitted in partial fulfilment of the requirements of Bournemouth University for the degree of Doctor of Philosophy, pp. 226, JUNE 2010

[2] Exploring discrepancies in findings obtained with the KDD Cup '99 data set,

, Intelligent Data Analysis Volume 15, Number 2 / 2011, 251-276, Tuesday, March 22, 2011

[3] Machine learning for network based intrusion detection: an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data., VEGARD ENGEN, A thesis submitted in partial fulfilment of the requirements of Bournemouth University for the degree of Doctor of Philosophy, pp. 226, JUNE 2010

[4] A probabilistic approach to natural language disambiguation : semantic role labeling and dialogue act recognition, Lan, Kwok-cheung Cyrus, A thesis submitted in partial fulfilment of the requirements for the degree of Master of Philosophy, pp. 117, April 2007

[5] The effect of borderline examples on language learning., Katia Lida Kermanidis, Journal of Experimental & Theoretical Artificial Intelligence Vol. 21, No. 1, March 2009, 19–42

8:Learning Automatic Acquisition of Subcategorization Frames using Bayesian Inference and Support Vector Machines

[1] Learning Argument/Adjunct Distinction for Basque, Izaskun Aldezabal, Maxux Aranzabe, Koldo Gojenola, Kepa Sarasola, Aitziber Atutxa, Unsupervised Lexical Acquisition: Proceedings of the Workshop of the ACL Special Interest Group on the Lexicon (SIGLEX), Philadelphia, Association for Computational Linguistics., pp. 42-50, July 2002

[2] Combining Bayesian and Support Vector Machines Learning to automatically complete Syntactical Information for HPSG-like Formalisms, Manolis Maragoudakis, Katia Kermanidis, Nikos Fakotakis, George Kokkinakis, pp. 93-100, 2002

[3] Acquisition automatique de schémas de sous-catégorisation à partir de corpus bruts, Cédric Messiant, Thèse présentée et soutenue publiquement en vue d’obtenir le grade de Docteur, spécialité informatique, pp. 172, 5 novembre 2010

[4] Romanian Valence Dictionary in XML Format, Ana-Maria Barbu, Emil Ionescu, Verginica Barbu Mititelu, Unsupervised Lexical Acquisition: Proceedings of the Workshop of the ACL Special Interest Group on the Lexicon (SIGLEX), Philadelphia, Association for Computational Linguistics., pp.2467-2470

9: MeteoBayes: Effective Plan Recognition in a Weather Dialogue System

[1] The automated understanding of simple bar charts, Stephanie Elzer, Sandra Carberry, Ingrid Zukerman, Artificial Intelligence, Volume 175, Issue 2, February 2011, Pages 526–555, 2011

[2] Weighted Unranked Tree Automata as a Framework for Plan Recognition, Johanna Hogberg, Lisa Kaati, Information Fusion (FUSION), 2010 13th Conference on , pp 1 - 8, 26-29 July 2010

[3] UMINF 10.06 Weighted Unranked Tree Automata as a Framework for Plan Recognition, Johanna Hogberg, Lisa Kaati, 8 pages

10: Natural Language in Dialogue Systems. A Case Study on a Medical Application.

[1] Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning, Manolis Maragoudakis, Aristomenis Thanopoulos, Kyriakos Sgarbas and Nikos Fakotakis, KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, Lecture Notes in Computer Science, Volume 2774/2003 , DOI: 10.1007/978-3-540-45226-3_39, 282-289, 2003

[2] User Modeling and Plan Recognition under Conditions of Uncertainty, Manolis Maragoudakis, Aristomenis Thanopoulos, and Nikos Fakotakis, V. Matousek and P. Mautner (Eds.): TSD 2003, LNAI 2807, pp. 372–379, 2003.

[3] Intelligent - Miner: The Conceptual and Architectural Design of a Web Based Data Mining Service, Christos Fidas, Manolis Maragoudakis, Nikolaos Avouris, Christos Fidas, Manolis Maragoudakis, Nikolaos Avouris “Intelligent - Miner: The Conceptual and Architectural Design of a Web Based Data Mining Service ” Vol. I No. 4 (Mar. 2008). ISSN: 1697-9613 (print) - 1887-3022 (online), pp 75-93, 2008

11: Combining Bayesian and Support Vector Machines Learning to automatically complete Syntactical Information for HPSG-like Formalisms

[1] Equity style timing using support vector regressions, Georgi Nalbantov, Rob Bauer, Ida Sprinkhuizen-Kuyper, Applied Financial Economics, 2006, 16, 1095–1111

[2] A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents, Florendia Fourli-Kartsouni, Kostas Slavakis, Georgios Kouroupetroglou, and Sergios Theodoridis, UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION. APPLICATIONS AND SERVICES , Lecture Notes in Computer Science, Volume 4556/2007, DOI: 10.1007/978-3-540-73283-9_34, 299-308, 2007

[3] Essays on Some Recent Penalization Methods with Applications in Finance and Marketing, GEORGI N A L B A N T O V, Thesis to obtain the degree of Doctor from the Erasmus University Rotterdam by command of the rector magnificus, pp 183, Thursday 11 September 2008

[4] SHORT-HORIZON VALUE-GROWTH STYLE ROTATION WITH SUPPORT VECTOR MACHINES, Georgi Nalbantov, Final thesis, 80 pages, 2003

12: Random Forests Identification of Gas Turbine Faults

[1] ENHANCING FAULT PREDICTION ON AUTOMATIC FOUNDRY PROCESSES, IGOR SANTOS, JAVIER NIEVES AND PABLO G. BRINGAS, World Automation Congress (WAC), 2010, 1 - 6, 19-23 Sept. 2010

[2] Enhanced Foundry Production Control, Javier Nieves, Igor Santos, Yoseba K. Penya, Felix Brezo , and Pablo G. Bringas, DATABASE AND EXPERT SYSTEMS APPLICATIONS, Lecture Notes in Computer Science, Volume 6261/2010, DOI: 10.1007/978-3-642-15364-8_15, 213-220, 2010

[3] Unsupervised Process Fault Detection with Random Forests, Lidia Auret and Chris Aldrich, Ind. Eng. Chem. Res. 2010, 49, 9184–9194, 2010

[4] Empowering Knowledge Computing with Variable Selection, Sean Stijven, 125 pages, 201114: Bayesian Reinforcement for a Probabilistic Neural Net Part-of-Speech Tagger

[1] A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents, Florendia Fourli-Kartsouni, Kostas Slavakis, Georgios Kouroupetroglou, and Sergios Theodoridis, UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION. APPLICATIONS AND SERVICES , Lecture Notes in Computer Science, Volume 4556/2007, DOI: 10.1007/978-3-540-73283-9_34, 299-308, 2007

[2] A Bibliography of the TSD 2000 Proceedings, Petr Sojka, TSD 2000 Proceedings, 2000

15: Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning

[1] Plan recognition for interface agents State of the art, Marcelo Gabriel Armentano, Analía Amandi, ARTIFICIAL INTELLIGENCE REVIEW, Volume 28, Number 2, DOI: 10.1007/s10462-009-9095-8, 131-162, 2009

[2] User Modeling Using Network Layer Information, Kiarash Mizanian, Reza Zakeri, Shahab Tasharrofi, Morteza Analoui, Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, 2006. ICN/ICONS/MCL 2006. International Conference on , 48 - 48 , 23-29 April 2006

16: Enhancing user support in open problem solving environments through Bayesian Network inference techniques

[1] Factors influencing the performance of Dynamic Decision Network for INQPRO, Choo-Yee Ting, Somnuk Phon-Amnuaisuk, Computers & Education Volume 52, Issue 4, Pages 762–780, May 2009

[2] Feature Extraction and Model Construction for Predicting Scientific Inquiry Skills Acquisition, Choo-Yee Ting, Somnuk Phon-Amnuaisuk, Kok-Chin Khor, Information Retrieval & Knowledge Management, (CAMP), 2010 International Conference on , Pages 240 - 244, 17-18 March 2010

17: Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks

[1] Think As Human, Yinpu, Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on , 666 - 669, 29-31 Oct. 2010[2] Natural Language Programming Based On Knowledge, Pu Yin, Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on , 69 - 73, 23-24 Oct. 2010

18: Data Mining for Player Modeling in Videogames[1] Modeling Action Game Domains Using Latent Semantic Analysis, Katia Lida Kermanidis, Kostas Anagnostou, SEMAPRO 2010, The Fourth International Conference on Advances in Semantic Processing , 75 to 78, October 25, 2010[2] Semantic representation of action games, Costas Boletsis, Dimitra Chasanidou, Panagiotis Pandis, and Katia Lida Kermanidis, 12 pages

19: IMPROVING HANDWRITTEN CHARACTER SEGMENTATION BY INCORPORATING BAYESIAN KNOWLEDGE WITH SUPPORT VECTOR

MACHINES

[1] A two-stage approach for segmentation of handwritten Bangla word images, Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu, Proc. ICFHR , 403-408, 2008/8

[2] Research on Control Method of Complex Object Based on Human Behavior Data, Zhong Bing-xiang , Li Tai-fu, Wang De-biao, Su Ying-ying, Electrical and Control Engineering (ICECE), 2010 International Conference on , 5486 - 5489 , 25-27 June 2010

20: Influence of Conditional Independence Assumption on Verb Subcategorization Detection

[1] Can subcategorization help a statistical dependency parser?, Daniel Zeman, COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1, 7 pages, 2002

[2] Automatic extraction of subcategorization frames for Italian, Dino Ienco, Serena Villata,

Cristina Bosco, Proceedings of the Sixth Language Resources and Evaluation (LREC’08), 7

pages, 2008/5

21: Accuracy in Privacy-Preserving Data Mining Using the Paradigm of Cryptographic Elections

[1] Accurate and large-scale privacy-preserving data mining using the election paradigm, Emmanouil Magkos, Manolis Maragoudakis, Vassilis Chrissikopoulos, Stefanos Gritzalis, Data & Knowledge Engineering, Volume 68, Issue 11, November 2009, Pages 1224–1236, 2009

[2] A secure threshold Paillier proxy signature scheme, Pei-yih Ting, Xiao-wei

Huang, Jun-hui Wu and Chia-huei Hseu, JOURNAL OF ZHEJIANG UNIVERSITY - SCIENCE C, Volume 11, Number 3, DOI: 10.1631/jzus.C0910493, 206-213, 2010

22: Automated Aortic and Mitral Valves Diseases Diagnosis from Heart Sound Signals Using Novel Ensemble Classification Techniques

[1] Complexity and Similarity Analysis of Heart Sound for Cardiovascular Disease Detection, Booma Devi Sekar, JiaYi Dou, Bin Bin Fu, Xiao Lei Fei and Ming Chui Dong, Biotechnology, Volume: 10 , Issue: 4 , 316-322, 2011

23: User Modeling and Plan Recognition under Conditions of Uncertainty[1] Plan recognition for interface agents State of the art, Marcelo Gabriel Armentano, Analía Amandi, ARTIFICIAL INTELLIGENCE REVIEW, Volume 28, Number 2, DOI: 10.1007/s10462-009-9095-8, 131-162, 2009

24: Statistical Decision Making from Text and Dialogue Corpora for Effective Plan Recognition

[1] A Bibliography of the TSD 2000 Proceedings, Petr Sojka, TSD 2000 Proceedings, 2000

25: Towards Stock Market Data Mining Using Enriched Random Forests from Textual Resources and Technical Indicators

[1] Pattern Analysis of News Media Content, Ilias Flaounas, A dissertation submitted to the University of Bristol in accordance with the requirements for award of the degree of Computer Science in the Faculty of Engineering, 186 pages, October 25, 2011

26: A medical ontology for intelligent web-based skin lesions image retrieval[1] Special issue on semantic descriptions of medical web resources : Technologies to support their creation, maintenance and access, Vangelis Karkaletsis, Miguel A. Mayer and Pythagoras Karampiperis, Health Informatics Journal 17(2), 91–94, 2011

27: Gas Turbine Fault Diagnosis using Random Forests

28: A Medical, Description Logic based, Ontology for Skin Lesion Images[1] Fuzzy Ontology Constructing and Its Application in Traditional Chinese Medicine, Sun Yi, Zhang Dezheng , Cheng Li, Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on, 592 - 595 , 29-31 Oct. 2010

29: Vascular endothelium: mechanisms of cell signaling[1] The effects of flow on adhesion molecule expression and monocyte-endothelial interactions in vitro, E Abueg, A Thesis Submitted to the Graduate Faculty of Rensselaer Polytechnic Institue in Partial Fullfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY, 21 pages, Oct. 2008

30:User modeling 2005: 10th international conference, UM 2005, Edinburgh, Scotland, UK, July 24-29, 2005: proceedings

[1] User model interoperability: a survey, Francesca Carmagnola, Federica Cena and Cristina Gena, USER MODELING AND USER-ADAPTED INTERACTION Volume 21, Number 3, DOI: 10.1007/s11257-011-9097-5, 285-331, 2011

[2] Proposal for a Practical Spoken Dialogue System Development Method A Data-Management Centered Approach, Masahiro Araki and Takashi Hattori, SPOKEN DIALOGUE SYSTEMS TECHNOLOGY AND DESIGN, DOI: 10.1007/978-1-4419-7934-6_8, 187-211, 2011

31: A Scheme for Creating Digital Entertainment with Substance

[1] Entertainment capture through heart rate activity in physical interactive playgrounds, Georgios N. Yannakakis, John Hallam and Henrik Hautop Lund, USER MODELING AND USER-ADAPTED INTERACTION Volume 18, Numbers 1-2, DOI: 10.1007/s11257-007-9036-7, 207-243, 2008

[2] TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES, Georgios N. Yannakakis & John Hallam , Applied Artificial Intelligence: An International Journal Volume 21, Issue 10, 2007, 933-971 , 09 Nov 2007[3] AI in Computer Games: Generating Interesting Interactive Opponents by the use of Evolutionary Computation, Georgios N. Yannakakis, Informatics PhD thesis collection,235 pages, Dec-2005

[4] Towards Capturing and Enhancing Entertainment in Computer Games, Georgios N. Yannakakis and John Hallam, ADVANCES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science, Volume 3955/2006, DOI: 10.1007/11752912_43, pages 432-442, 2006

[5] Real-Time Game Adaptation for Optimizing Player Satisfaction, Georgios N. Yannakakis, Member, IEEE, and John Hallam , Computational Intelligence and AI in Games, IEEE Transactions on , 121 – 133, June 2009

[6] Modeling Children's Entertainment in the Playware Playground, Georgios N. Yannakakis, John Hallam and Henrik Hautop Lund, Computational Intelligence and Games, 2006 IEEE Symposium on, 134 - 141, 22-24 May 2006[7] How to Model and Augment Player Satisfaction: A Review, Georgios N. Yannakakis, Center for Computer Games Research IT-University of Copenhagen, WOCCI 2008: The 1st Workshop on Child, Computer, and Interaction Chania, Crete, Greece, 5 pages, October 23, 2008

[8] Game and Player Feature Selection for Entertainment Capture, Georgios N. Yannakakis, and John Hallam, Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on, 244 - 251 , 1-5 April 2007

[9] Real-time adaptation of augmented-reality games for optimizing player satisfaction, Georgios N. Yannakakis, Member, IEEE, and John Hallam, Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On , 103 - 110 , 15-18 Dec. 2008

[10] Modelling Video Games’ Landscapes by Means of Genetic Terrain Programming - A New Approach for Improving Users’ Experience, Miguel Frade, F. Fernandez de Vega and Carlos Cotta, APPLICATIONS OF EVOLUTIONARY COMPUTING Lecture Notes in Computer Science, 2008, Volume 4974/2008, DOI: 10.1007/978-3-540-78761-7_52, Symposium On, 485-490, 2008

[11] Games That Do Not Exist: Communication Design Beyond the Current Limits, Klaus P. Jantke, SIGDOC '06 Proceedings of the 24th annual ACM international conference on Design of communication, 35-42, 2006

[12] Capturing Player Enjoyment in Computer Games, Georgios N. Yannakakis and John Hallam, ADVANCED INTELLIGENT PARADIGMS IN COMPUTER GAMES Studies in Computational Intelligence, Volume 71/2007, DOI: 10.1007/978-3-540-72705-7_8, 175-201, 2007

[13] User-System-Experience Model for User Centered Design in Computer Games, Ben Cowley, Darryl Charles, Michaela Black and Ray Hickey, ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS Lecture Notes in Computer Science, Volume 4018/2006, DOI: 10.1007/11768012_62, 419-424, 2006

[14] A Learning Infrastructure for Improving Agent Performance and Game Balance, Jeremy Ludwig and Art Farley, Association for the Advancement of Artificial Intelligence (www.aaai.org), 7-12, 2007

[15] MS PAC-MAN VERSUS GHOST TEAM CEC 2011 Competition, Philipp Rohlfshagen, Simon M. Lucas, Evolutionary Computation (CEC), 2011 IEEE Congress on , 70 - 77, 5-8 June 2011

[16] Genetic terrain programming, Miguel Monteiro de Sousa Frade, Dissertação apresentada à Universidad de Extremadura para obtenção do Diploma de Estudios Avanzados, orientada por Francisco Fernandéz de Vega e Carlos Cotta., 82 pages, June 2008

32: Automatic Extraction of Polish Verb Subcategorization An Evaluation of Common Statistics

[1] THE POTENTIAL OF THE IPI PAN CORPUS, Adam Przepiórkowski, Poznan Studies in Contemporary Linguistics, 19 pages, 2006

[2] Building a Morphosyntactic Lexicon and a Pre-syntactic Processing Chain for Polish, Benoît Sagot , HUMAN LANGUAGE TECHNOLOGY. CHALLENGES OF THE INFORMATION SOCIETY Lecture Notes in Computer Science, Volume 5603/2009, DOI: 10.1007/978-3-642-04235-5_8, 85-95, 2009

[3] On Heads and Coordination in Valence Acquisition, Adam Przepiórkowski, COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING Lecture Notes in Computer Science, Volume 4394/2007, DOI: 10.1007/978-3-540-70939-8_5, 50-61, 2007

[4] Argument co-occurrence matrix as a description of verb valence, Łukasz Debowski, Marcin Wolinski, 5 pages, 2007

[5] WHAT TO ACQUIRE FROM CORPORA IN AUTOMATIC VALENCE ACQUISITION, ADAM PRZEPIÓRKOWSKI, Semantyka a konfrontacja językowa, 3 SOW, Warszawa 2006, 25-41, 2006

[6] Slavonic information extraction and partial parsing, ADAM PRZEPIÓRKOWSKI, ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies, 10 pages, 2007

[7] Valence extraction using EM selection and co-occurrence matrices, Łukasz Dębowski, LANGUAGE RESOURCES AND EVALUATION Volume 43, Number 4, DOI: 10.1007/s10579-009-9100-5, 301-327, 2009

[8] Évaluer SynLex, Ingrid Falk, Gil Francopoulo, Claire Gardent, TALN 2007, Toulouse, 12–15 juin 2007, 10 pages

[9] Linguistic resources and tools at ICS PAS: Towards interoperability, Adam Przepiórkowski, Intelligent Information Systems 2008 ISBN 978-83-60434-44-4, pages 487–495, 2008

33: Subcategorization Acquisition Based on Weakly Supervised SVM

[1] The theoretical foundation based on double random sample of statistical learning theory, Zhang Chik, Ming Tian Jingfeng, 2009

[2] Measure space of complex samples on statistical learning theory, Zhang Chik, Ming Tian Jingfeng, 2009

34: Knowledge-based intelligent Information and engineering systems: 7th International Conference, Kes 2003, Oxford, UK, September 3-5, 2003: proceedings

[1] Perceptual Control Based on Prediction for Natural Communication of a Partner Robot, Naoyuki Kubota, Member, IEEE, and Kenichiro Nishida, Student Member, IEEE, Industrial Electronics, IEEE Transactions on, 866 – 877, April 2007[2]Logic modeling and generic systems of adaptive hypermedia, Cédric JACQUIOT, Presented for obtaining the degree of Doctor of Science University Paris-Sud XI Orsay, 206, 2006