Refanidis Ioannis
  • +30 2310 891.859
  • yrefanid uom.edu.gr
  • Office: C2, 225
  • +30 2310 891.805

    Refanidis Ioannis

    Professor
    Department of Applied Informatics


    Academic Area

    Artificial Intelligence

    Curriculum Vitae
    Academic Titles
    • BSc Physics, Dept. of Physics, Aristotle University of Thessaloniki, Greece (1992)
    • BSc Informatics, Dept. of Informatics, Aristotle University of Thessaloniki, Greece (1997)
    • PhD from the Dept. of Informatics, Aristotle University of Thessaloniki (2001)
    Research Interests
    • Artificial Intelligence
    • Intelligent systems in economic and social sciences
    • Planning
    • Semantic web, intelligent agents and web services
    • Mobile computing
    • Game theory
    • Educational software

    Teaching


    • ALGORITHMIC GAME THEORY
      (CM0201)

    Τύπος
    ΕΠΙΛΟΓΗΣ

    Κωδικός Τμήματος
    MAI

    Τμήμα
    MASTER IN APPLIED INFORMATICS

    Περιγραφή

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    • ARTIFICIAL INTELLIGENCE
      (ΠΛ0701)

    Τύπος
    ΥΠΟΧΡΕΩΤΙΚΟ

    Κωδικός Τμήματος
    ΕΠ

    Τμήμα
    DEPARTMENT OF APPLIED INFORMATICS

    Περιγραφή

    Semester: 6 (Spring) | Orientation: AI | Compulsory | Weekly Hours: 3 | Credit Units (ECTS): 5

    Instructors: Refanidis Ioannis

    General competences

    Artificial Intelligence is an area of computer science with an increasing number of applications in the recent years. The aim of the course is to present the principles of the area, on which all modern applications are based. By the end of the course the student will be able to: (a) model problems and use suitable search algorithms to solve them; (b) represent knowledge and reason over it; (c) model and solve planning/scheduling problems.

    Course Content

    Introduction to Artificial Intelligence. Problem representation - Search tree. Search algorithms. Blind search and informed search.
    Constraint satisfaction problems. Arc consistency. Constraint propagation.
    Adversary games. Minimax search and alpha-beta pruning. Games with chance.
    Knowledge and reasoning. Propositional logic. First order logic. Proof procedures and the Resolution Principle. Rule Based Systems.
    Planning. STRIPS representation. Progression and Regression. Partial order planning. Temporal planning and planning with resources.

    Assessment

    Written examination 80%
    Homework 20%

    Bibliography

    (One of the following):
    Artificial Intelligence, a modern approach. STUART RUSSELL and PETER NORVIG, 3rd edition, Prentice Hall.

    13909 ΤΕΧΝΗΤΗ ΝΟΗΜΟΣΥΝΗ: ΜΙΑ ΣΥΓΧΡΟΝΗ ΠΡΟΣΕΓΓΙΣΗ, Τύπος: Σύγγραμμα, STUART RUSSELL, PETER NORVIG, 2005, ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, ISBN: 960-209-873-2

    12867416 ΤΕΧΝΗΤΗ ΝΟΗΜΟΣΥΝΗ, Τύπος: Σύγγραμμα, ΒΛΑΧΑΒΑΣ Ι.,ΚΕΦΑΛΑΣ Π.,ΒΑΣΙΛΕΙΑΔΗΣ Ν.,ΚΟΚΚΟΡΑΣ Φ.,ΣΑΚΕΛΛΑΡΙΟΥ Η., 2011, ΕΚΔΟΣΕΙΣ ΠΑΝ/ΜΙΟΥ ΜΑΚΕΔΟΝΙΑΣ, ISBN: 978-960-8396-64-7

    Supplementary material

    Lecture slides. Exemplary solved exercises.
    Course site (http://compus.uom.gr/INF184/index.php)

    • COMPUTATION THEORY AND AUTOMATA
      (ΠΛ0506-1)

    Τύπος
    ΕΠΙΛΟΓΗΣ

    Κωδικός Τμήματος
    ΕΠ

    Τμήμα
    DEPARTMENT OF APPLIED INFORMATICS

    Περιγραφή

    Semester: 7 (Winter) | Orientation: AI | Elective | Weekly Hours: 3 | Credit Units (ECTS): 5

    Instructors: Refanidis Ioannis

    General competences

    To be able (a) to recognize abstract models of computation (b) to identify various classes of computational problems (c) to formally describe problems.

    Course Content

    Alphabets and languages. Regular expressions. Regular languages. Non-regular languages. Context-free grammars. Context-sensitive grammars. Automata. Finite automata. Deterministic and non-deterministic automata. Push-down automata. Turing machines. Church thesis. Turing decidable and acceptable languages. Universal Turing machine. Non-computability. Non-solvable problems. Complexity classes. Problem reduction. P, NP, NP complete classes.

    Assessment

    Final examination 100%.
    Optional homework up to an additional 30%

    Bibliography

    (One of the following):
    Elements of the Theory of Computation, Harry R Lewis and Christos H Papadimitriou, 2nd edition, 1997, Prentice Hall.
    Introduction to the Theory of Computation, Michael Sipser 2005, Course Technology.

    Supplementary material

    Lecture slides, exemplary solved exercises. (http://compus.uom.gr/INF201/index.php)

    • GAME THEORY
      (ΠΛ0722)

    Τύπος
    ΕΠΙΛΟΓΗΣ

    Κωδικός Τμήματος
    ΕΠ

    Τμήμα
    DEPARTMENT OF APPLIED INFORMATICS

    Περιγραφή

    Semester: 7 (Winter) | Orientation: AI | Elective | Weekly Hours: 3 | Credit Units (ECTS): 5

    Instructors: Refanidis Ioannis

    General competences

    To be able to (a) recognize and model game situations, (b) solve games through the identification of Nash equilibriums, (c) use Game Theory to interpret real-world situations.

    Course Content

    Game representation. Normal/Strategic form. Extended form. Strategies. Domination and its resolution. Nash equilibrium. Cournot duopoly. Cartels. The commons tragedy. Mixed strategies. Expected utility. Risk aversion. Games with non-concurrent actions. Backward induction. Perfect Nash equilibrium for subgames. Repeated games. Finite and infinite games. Firing strategies. Lenient strategies. The common theorem. Dynamic games.Moral hazard. Incentives theories. Games with incomplete information. Bayes-Nash equilibrium. Mechanism design. Revelation principle. Auctions. Algorithmic Game Theory. Game Theory and Social Networks.

    Assessment

    Written final examination 100%
    Optional homework up to an additional 30%

    Bibliography

    (One of the following):

    An Introduction to Game Theory. Martin J. Osborne, 2003. Oxford University Press.

    Supplementary material

    Lecture slides, exemplary solved exercises. (http://compus.uom.gr/INF201/index.php)

    • MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING
      (AIDA102)

    Τύπος
    ΥΠΟΧΡΕΩΤΙΚΟ

    Κωδικός Τμήματος
    ΜΤΝΑΔ

    Τμήμα
    MSC IN ARTIFICIAL INTELLIGENCE AND DATA ANALYTICS

    Περιγραφή

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    • NEURAL NETWORKS
      (ΠΛ0806)

    Τύπος
    ΕΠΙΛΟΓΗΣ

    Κωδικός Τμήματος
    ΕΠ

    Τμήμα
    DEPARTMENT OF APPLIED INFORMATICS

    Περιγραφή

    Semester: 8 (Spring) | Orientation: AI | Elective | Weekly Hours: 3 | Credit Units (ECTS): 5

    Instructors: Refanidis Ioannis

    General competences

    By the end of the course the student should be able (a) to recognize machine learning problems, (b) to create and train neural networks of various architectures, (c) to become familiar with various neural networks tools, (d) to prepare data for feeding neural networks, (e) to avoid over fitting to the training data, (f) to comparatively evaluate various learning models.

    Course Content

    Machine leraning. Non-symbolic learning. Artificial neural model.
    Supervised learning. Perceptron. The Delta rule. Feed-forward networks. Multi-layer networks and error backpropagation.
    Recurrent networks.Non-supervised learning. Clustering. Kohonen rule.
    Dynamic networks. Time series. Hopfield networks.
    Radial networks. Probabilistic networks.
    Control systems. Delay elements and linear neurons. Linear filters.Genetic algorithms.
    Alternative learning models. Decision trees. Categorization rules. Association rules. Support vector machines.

    Assessment

    Final examination 100%.
    Optional homework up to an additional 30%

    Bibliography

    (One of the following):
    Neural Networks and Learning Machines (3rd Edition), by Simon O. Haykin, 2008, Pearson.

    Supplementary material

    Lecture slides. Exemplary solved exercises. (http://compus.uom.gr/INF201/index.php)

    • PLANNING AND SCHEDULING
      (AIDA202)

    Τύπος
    ΥΠΟΧΡΕΩΤΙΚΟ

    Κωδικός Τμήματος
    ΜΤΝΑΔ

    Τμήμα
    MSC IN ARTIFICIAL INTELLIGENCE AND DATA ANALYTICS

    Περιγραφή

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    Publications


    • Books (3 records)

    Περιλαμβάνει Βιβλία ή/και μονογραφίες σε διεθνείς ή ελληνικούς εκδοτικούς οίκους. Κεφάλαια ή άρθρα συλλογικών τόμων ή επιμέλεια τόμων σε διεθνείς ή ελληνικούς εκδοτικούς οίκους.

      2002

      • Βλαχάβας, Ι., Κεφαλάς, Π., Βασιλειάδης, Ν., Ρεφανίδης, Ι., Κόκκορα Φ. και Σακελλαρίου, Η., Τεχνητή Νοημοσύνη, Εκδόσεις Γαρταγάνη, Θεσσαλονίκη, 2002.

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      2001

      • I. Stamelos, I. Refanidis, P. Katsaros, A. Tsoukias, I. Vlahavas and A. Pomportsis. An Adaptable Framework for Educational Software Evaluation. In Decision Making: Recent Developments and Worldwide Applications, S.H. Zanakis, G. Doukidis and C. Zopounidis (eds), 347-360, Kluwer Academic Publishers, 2001.

      2000

      • I. Refanidis and I. Vlahavas. A Heuristic Based Approach to Planning in STRIPS Domains. In Advances in Informatics, ed. I. Fotiadis & S.D. Nikolopoulos, World Scientific, April 2000, 305-312.

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      • Scientific Journals (25 records)

      Περιλαμβάνει Άρθρα σε διεθνή ή ελληνικά επιστημονικά περιοδικά (με κριτές).

        2020

        • Nikolaidis, S., Refanidis, I. Privacy preserving distributed training of neural networks. Neural Comput & Applic (2020). https://doi.org/10.1007/s00521-020-04880-0

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        • Protogerou, A., Papadopoulos, S., Drosou, A., Tzovaras., D., and Refanidis, I. A graph neural network method for distributed anomaly detection in IoT. Evolving Systems (2020).

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        2018

        • A. Alexiadis, I. Refanidis and I. Sakellariou. Integrating Meeting and Individual Events Scheduling. Inteligencia Artificial, 21(62) (2018), 53-66. (also presented at the COPLAS-2018 workshop)

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        • K. Goulianas, A. Margaris, I. Refanidis and K. Diamantaras. Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm. European Journal of Applied Mathematics, vol. 29, pp. 301-337, 2018. Cambridge University Press.

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        2016

        • A. Alexiadis and I. Refanidis. Optimizing Individual Activity Personal Plans through Local Search. AI Communications, vol. 29, no. 1, pp. 185-203, 2016, IOS Press.

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        • G. Markou and I. Refanidis. Non-deterministic planning methods for automated web service composition. Artificial Intelligence Research, vol. 5 (1), 2016, Sciedu Press

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        • K. Goulianas, A. Margaris, I. Refanidis and K. Diamantaras. An adaptive learning rate backpropagation-type neural network for solving n × n systems on nonlinear algebraic equations. Mathematical Methods in Applied Sciences, Volume 39, Issue 10, July 2016, Pages: 2602–2616, Wiley.

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        • A. Alexiadis and I. Refanidis. Alternative Plan Generation And Online Preference Learning In Scheduling Individual Activities. International Journal on Artificial Intelligence Tools Vol. 25, No. 03, 1650014 (2016), World Scientific.

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        • G. Markou and I. Refanidis. Cost-Sensitive Probabilistic Contingent Planning for Web Service Composition. International Journal on Artificial Intelligence Tools, 25 (1), 2016, doi: 10.1142/S0218213016600010, World Scientific.

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        • K. Goulianas, A. Margaris, I. Refanidis, K. Diamantaras and T. Papadimitriou. A back-propagation-type neural network architecture for solving the complete n x n nonlinear algebraic system of equations. Advances in Pure Mathematics, vol. 6, no. 6, 455-480,m 2016, Scientific Research Publishing.

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        • K. Agnantis, A. Alexiadis and I. Refanidis. Intelligent Calendar Applications: A Holistic Framework based on Ontologies. International Journal on Artificial Intelligence (IJAI), 2016 Autumn (October), vol. 14 (2), pp. 1-22, Ceser Publications.

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        • K. Agnantis, A. Alexiadis and I. Refanidis. Coursr2: An Integrated Time Management System for Lifelong Learners. International Journal of Artificial Intelligence Tools (IJAIT), Vol. 25, No. 06, 1650029 (December 2016), World Scientific.

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        2014

        • D. Sklavakis and I. Refanidis. The MATHESIS meta-knowledge engineering framework: Ontology-driven development of intelligent tutoring systems. Applied Ontology Journal, Volume 9 Issue 3-4, July 2014, Pages 237-265, IOS Press.

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        2013

        • I. Refanidis and I. Sakellariou. Computing higher order exclusion relations in propositional planning. Journal of Experimental and Theoretical Artificial Intelligence (JETAI), vol. 25, no.1 (2013), 23-51, Taylor and Francis.

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        • D. Sklavakis and I. Refanidis. MATHESIS: An Intelligent Web-Based Algebra Tutoring School. International Journal of Artificial Intelligence in Education, Volume 22, Issue 4, October 2013, Pages 191-218, IOS Press

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        • G. Markou and I. Refanidis. Composing Semantic Web Services Online and an Evaluation Framework. International Journal on Advances in Internet Technology, vol. 6, no. 3-4 (2013), 114-131, IARIA Journals.

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        2011

        • I. Refanidis and A. Alexiadis. Deployment and Evaluation of SELFPLANNER, an Automated Individual Task Management System. Computational Intelligence, 27(1), 2011, pp. 41-59, Wiley Periodicals Inc.

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        • I. Refanidis. A Dynamic Programming Formulation of Scheduling Non-Deterministic Activities with Stochastic Durations. International Journal of Artificial Intelligence (IJAI), vol. 7 (A11), 2011, pp. 1-18, Ceser Publications.

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        2010

        • I. Refanidis and N. Yorke-Smith. A Constraint Based Programming Approach to Scheduling an Individual's Activities. ACM Transactions on Intelligent Systems and Technologies, vol. 1 (2), 2010, pp. 12:1-12:32.

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        2003

        • I. Refanidis and I. Vlahavas. Multiobjective Heuristic State-Space Planning. Artificial Intelligence Journal, vol 145/1-2, 2003, pp 1 – 32, Elsevier.

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        2001

        • D. Vrakas, I. Refanidis and I. Vlahavas. Parallel planning via the distribution of operators. Journal of Experimental and Theoretical Artificial Intelligence, 13 (3), 2001, pp. 211-226, Taylor and Francis.

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        • I. Refanidis and I. Vlahavas. The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning. Journal of Artificial Intelligence Research, 15, 2001, 115-161.

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        • I. Refanidis and I. Vlahavas. The GRT Planner. AI Magazine, Fall 2001, pp. 63-65, AAAI Press.

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        2000

        • I. Stamelos, I. Vlahavas, I. Refanidis and A. Tsoukias. Knowledge Based Evaluation of Software Systems: a Case Study. Information and Software Technology, 42 (5), 2000, pp. 333-345, Elsevier.

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        1999

        • I. Vlahavas, I. Stamelos, I. Refanidis and A. Tsoukias. ESSE: an Expert System for Software Evaluation. Knowledge Based Systems, 12 (4), 1999, pp. 183-197, Elsevier.

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        • Conferences (61 records)

        Περιλαμβάνει Άρθρα σε δημοσιευμένα πρακτικά διεθνών ή ελληνικών συνεδρίων (με κριτές).

          2019

          • Sp. Blatsios and I. Refanidis. An Adaptation and Personalisation Methodology for Serious Games Design (work in progress paper). In Proceedings of the 13th European Conference on Games Based Learning (ECGBL-2019), pp. 991-994, Odense, Denmark, 2019.
          • A. Karanikolos and I. Refanidis. Encoding Position Improves Recurrent Neural Text Summarizers. In Proceedings of the 3rd International Conference on Natural Language and Speech Processing, pp. 142-150. Trento, Italy, September 2019. © The Association for Computational Linguistics.

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          • Sp. Nikolaidis and I. Refanidis. LEARNAE: Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer Topologies. In Proceedings of the 20th International Conference on Engineering Applications of Neural Networks (EANN-2019). © Springer Nature Switzerland AG 2019. J. Macintyre et al. (Eds.): EANN 2019, CCIS 1000, pp. 286–298, 2019.

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          • S. Blatsios and I. Refanidis. Towards and Adaption and Personalisation Solution based on Multi Agent System Applied on Serious Games. In proceedings of the 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI-2019). Published by Springer Nature Switzerland AG 2019. J. MacIntyre et al. (Eds.): AIAI 2019, IFIP AICT 559, pp. 584–594, 2019. https://doi.org/10.1007/978-3-030-19823-7_49.

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          2018

          • A. Alexiadis, I. Refanidis and I. Sakelariou. Integrating Meeting and Individual Events Scheduling. In Proceedings of ICAPS-2018 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling, Delft, The Netherlands, June 2018.

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          2015

          • G. Markou, A. Alexiadis and I. Refanidis. Web Services and Automated Planning for Intelligent Calendars. 6th Italian Workshop on Planning & Scheduling (IPS-2015). Within the 14th Conference of the Italian Association for Artificial Intelligence, Ferrara, September 2015.
          • Konstantinos Agnantis and Ioannis Refanidis. Activity Ontologies for Intelligent Calendar Applications. 7th Balkan Conference on Informatics (BCI-2105), Craiova, Romania, September 2015. ACM, doi: 10.1145/2801081.2801109.
          • Nikos Papachristou and Ioannis Refanidis. Constructing Pin Endgame Databases for the Backgammon Variant Plakoto. The 14th International Conference on Advances in Computer Games (ACG2015), Leiden, the Netherlands, July 2015. LNCS 9525, pp. 177-184, Springer, 2015.
          • Konstantinos Agnantis and Ioannis Refanidis. COURSR: Scheduling Composite Educational Objects. 9th International Speduling and Planning Applications Workshop (SPARK-2015), within ICAPS-2015, pp. 50-58, Tel Aviv, June 2015.

          2014

          • Ioannis Refanidis, Christos Emmanouilidis, Ilias Sakellariou, Anastasios Alexiadis, Remous-Aris Koutsiamanis, Konstantinos Agnantis, Aimilia Tasidou, Fotios Kokkoras, and Pavlos S. Efraimidis. myVisitPlannerGR: Personalized Itinerary Planning System for Tourism. Proceedings of the 8th Hellenic AI Society Conference, Ioannina, Greece (2014), LNCS (Springer) 8445, pp. 615–629.
          • N. Papachristou and I. Refanidis. Opening Statistics and Match Play for Backgammon Games. Proceedings of the 8th Hellenic AI Society Conference, Ioannina, Greece (2014), LNCS (Springer) 8445, pp. 569–582.
          • G. Markou and I. Refanidis. Anytime Planning for Web Service Composition via Alternative Plan Merging. IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI-2014), pp. 91-98, Limassol, Cyprus, November 2014. Best paper award & best student paper award.

          2013

          • Anastasios Alexiadis and Ioannis Refanidis. Generating Alternative Plans for Scheduling Personal Activities. In SPARK-2013: ICAPS-2013 Workshop on Scheduling and Planning Applications, pp. 35-40, Rome, Italy, June 2013.
          • Anastasios Alexiadis and Ioannis Refanidis. Post-Optimizing Individual Activity Plans through Local Search. In COPLAS-2013: ICAPS 2013 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems, pp. 7-15, Rome, Italy, June 2013.
          • George Markou and Ioannis Refanidis, MadSwan: A Semantic Web Service Composition System. In Proceedings of the 10th European Semantic Web Conference (ESWC 2013), Montpellier, France. Poster presentation. Lecture Notes in Computer Science, vol. 7955, pp 304-305, Springer.
          • Nikolaos Papahristou and Ioannis Refanidis. AnyGammon: Playing Backgammon Variants Using Any Board Size. In Proceedings of the 8th International Conference on the Foundations of Digital Games (Entry at the Research and Experimental Festival), pp. 410-412, Chania, Crete, May 2013.

          2012

          • George Markou and Ioannis Refanidis. Towards an Automatic Non-Deterministic Web Service Composition Platform. 8th International Conference on Next Generation Web Services Practices. Sao Carlos, Brazil, 21-23 November 2012. Published in Fourth International Conference on Computational Aspects of Social Networks (CASoN), 2012, pp. 372-377, IEEE.
          • Nikolaos Papahristou and Ioannis Refanidis. On the Design and Training of Bots to play Backgammon Variants. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Halkidiki, Greece. Volume 381 of the Series IFIP Advances in Information and Communication Technology, pp 78-87, 2012. Springer.
          • Ioannis Papikas and Ioannis Refanidis. Fast Path Planning through Segmentation of the Map into Manhattan-cohesive Areas. In proceedings of the 5th Annual Symposium on Combinatorial Search (SoCS 2012), in conjunction with AAAI-2012, Niagara Falls, Canada, July 2012, pp. 209-210. Copyright © AAAI, 2012.
          • Anastasios Alexiadis and Ioannis Refanidis. Meeting the Objectives of Personal Activity Scheduling through Post-Optimization. First International Workshop on Search Strategies and Non-standard Objectives (SSNOWorkshop'12), in conjunction with CPAIOR-2012, Nantes, France.
          • George Markou and Ioannis Refanidis. Towards Automatic Non-Deterministic Web Service Composition. 7th International Conference on Internet and Web Applications and Services, pp 118-122 (short paper), Stuttgart, Germany, June 2012 (AWARDED PAPER).
          • N. Papahristou and I.Refanidis. Improving temporal difference learning performance in backgammon variants. Advances in Computer Games 13. November 2011. Appears in H.J. van den Herik and A. Plaat (Eds.): ACG 2011, LNCS 7168, pp. 134–145, 2012. © Springer-Verlag Berlin Heidelberg 2012.

          2011

          • D. Sklavakis and I. Refanidis. The MATHESIS Semantic Authoring Framework: Ontology-Driven Knowledge Engineering for ITS Authoring. Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, pp. 114-123, Kaiserslautern, Germany, September 2011.
          • I. Refanidis, A. Alexiadis and N. Yorke-Smith. Beyond Calendar Mashups: SELFPLANNER 2.0. ICAPS-2011 Demo Session Working Notes, pp. 66-70, Freiburg, Germany.
          • N. Papahristou and I. Refanidis. Training neural networks to play backgammon variants using reinforcement learning. 3rd European event on Bio-inspired Algorithms in Games, Torino, Italy, Springer LNCS 6624, pp. 113-122, 2011.

          2010

          • D. Sklavakis and I. Refanidis. MATHESIS: A Web Based Intelligent Tutoring School for Algebra. Entry at the Intelligent System Demonstration at the 6th Hellenic Conference on Artificial Intelligence, Companion Volume to Proc. 6th Hellenic Conf. on AI (SETN-2010), pp. 33-38, Athens, 2010.
          • E. Moka and I. Refanidis. Towards Intelligent Management of a Student's Time. S. Konstantopoulos et al. (Eds.): SETN 2010, LNAI 6040, Springer, pp. 383–388, 2010.
          • D. Sklavakis and I. Refanidis. Ontology-Based Authoring of Intelligent Model-Tracing Math Tutors. In Proc. of the 14th International Conference on AI: Methodology, Systems, Applications. Varna, Bulgaria. Springer/LNAI 6304, pp. 201-210, 2010.

          2009

          • I. Refanidis and I. Sakellariou. A Systematic and Complete Algorithm to Compute Higher Order Exclusion Relations. In Proceeding of the ICAPS-2009 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS'2009), Thessaloniki, Greece, 2009, 33-42
          • I. Refanidis and N. Yorke-Smith. On Scheduling Events and Tasks by an Intelligent Calendar Assistant. In Proceeding of the ICAPS-2009 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS'2009), Thessaloniki, Greece, 2009, 43-52.
          • D. Sklavakis and I. Refanidis. The MATHESIS Ontology: Reusable Authoring Knowledge for Reusable Intelligent Tutors. 7th International Workshop on Ontologies and Semantic Web for E-Learning, in conjunction with AIED2009, pp.86-90, Brighton, UK, 2009.
          • E. Dagkli and I. Refanidis. MIXPLAN: A CLP-based Mixed-initiative Planning System for Temporal Domains. 4th Balkan Conference on Informatics (BCI09), 73-78, Thessaloniki, Greece, 2009, IEEE Computer Society
          • A. Alexiadis and I. Refanidis. Defining a Task’s Temporal Domain for Intelligent Calendar Applications. 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2009), 399-406, Thessaloniki, Greece. Springer.
          • G. Markou and I. Refanidis. MSRS: Critique on its usability via a path planning algorithm implementation. 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2009), 311-320, Thessaloniki, Greece, Springer.
          • D. Sklavakis and I. Refanidis. The MATHESIS Algebra Tutor: Web-based Expert Tutoring via Deep Model Tracing. Interactive Event at the 14th International Conference on Artificial Intelligence in Education, 795, Brighton, 2009.

          2008

          • D. Sklavakis and I. Refanidis. An Individualized Web-based Algebra Tutor Based on Dynamic Deep Model Tracing. 5th Hellenic Conference on Artificial Intelligence (LNAI 5138, Springer), 389-394, Syros, Greece, 2008.
          • I. Refanidis and A. Alexiadis. SelfPlanner: Planning your time! ICAPS 2008 Workshop on Scheduling and Planning Applications, Sydney, 2008.

          2007

          • I. Refanidis and A. Alexiadis. SelfPlanner: An Intelligent Web-based Calendar Application. Demo session of the 17th International Conference on Automated Planning and Scheduling Systems (ICAPS-07), Providence, Rhode Island, US, September 2007.
          • I. Refanidis. Managing Personal Tasks with Time Constraints and Preferences. 17th International Conference on Automated Planning and Scheduling Systems (ICAPS-07), 272-279, Providence, Rhode Island, US, September 2007. AAAI Press.

          2006

          • I. Refanidis. D. Gemitzis and G.Stephanides. Scheduling Personal Time using Squeaky Wheel Optimization. ECAI-06 Workshop on Modelling and Solving Problems with Constraints, 17-24, Riva del Garda, Italy, 2006.

          2005

          • I. Refanidis. Stratified heuristic POCL temporal planning based on planning graphs and constraint programming. ICAPS-05 Workshop on Constraint Programming for Planning and Scheduling, 66-73, Monterey , California, 2005.

          2004

          • I. Refanidis, Thomas L. McCluskey and Yannis Dimopoulos. Planning Services for Individuals: A New Challenge for the Planning Community. ICAPS-04 Workshop on Connecting Planning Theory with Practice, 56-61, Whistler, British Columbia, Canada, 2004.

          2002

          • I. Refanidis, I. Vlahavas and K. Paparrizos. Resource Allocation for Crisis Management using Planning. 15th National Conference of the Hellenic Operation Research Society, Βιβλίο περιλήψεων σελ. 110, Tripoli, 2002.
          • I. Stamelos and I. Refanidis. Decision Making Based On Past Problems Cases. 2nd Helenic Conference for Artificial Intelligence. LNAI 2308 (2002), 42-53, Springer-Verlag.

          2001

          • I. Refanidis and I. Vlahavas. The MO-GRT System: Heuristic Planning with Multiple Criteria. Workshop on Planning and Scheduling with Multiple Criteria, 46-55, Toulouse, France, April 2002.
          • I. Refanidis, N. Bassiliades and I. Vlahavas. AI Planning for Transportation Logistics. 17th International Logistics Conference, 241-248, Thessaloniki, November 2001.
          • I. Refanidis and I. Vlahavas. A Framework for Multi-Criteria Plan Evaluation in Heuristic State-Space Planning. IJCAI-01 Workshop on Planning with Resources, 50-56, Seattle, Washington, August 2001.
          • E. Hatzikraniotis, I. Lefkos, G. Bisdikian, D. Psillos, I. Refanidis and I. Vlahavas. An open learning environment for thermal phenomena. In Proceedings of the 5th International Conference on Computer Based Learning in Science (CBLIS 2001), A17-26, Brno, Czech Republic, July 2001.

          2000

          • Ι. Βλαχάβας, Ι. Ρεφανίδης και Η. Σακελλαρίου. Ένα πολυμεσικό σύστημα διδασκαλίας της γλώσσας λογικού προγραμματισμού Prolog. Βιβλίο περιλήψεων του 1ου Εθνικού Συνεδρίου Πληροφορικής στην Εκπαίδευση, σελ. 29, Θεσσαλονίκη, Νοέμβριος 2000.
          • Ι. Λεύκος, Ι. Ρεφανίδης, Λ. Γάλλος, Ε. Πετρίδου, Δ. Ψύλλος, Π. Αργυράκης, Ι. Βλαχάβας και Ε. Χατζηκρανιώτης. Εικονικό εργαστήριο θερμότητας. Βιβλίο περιλήψεων του 1ου Εθνικού Συνεδρίου Πληροφορικής στην Εκπαίδευση, σελ. 54, Θεσσαλονίκη, Νοέμβριος 2000.
          • Ι. Ρεφανίδης, Κ. Κορομπίλης, Δ. Ψύλλος, Π. Αργυράκης, Ι. Βλαχάβας και Ε. Χατζηκρανιώτης. Εικονικό εργαστήριο θερμοδυναμικής. Βιβλίο περιλήψεων του 1ου Εθνικού Συνεδρίου Πληροφορικής στην Εκπαίδευση, Θεσσαλονίκη, σελ. 68, Νοέμβριος 2000.
          • Δ. Ψύλλος, Π. Αργυράκης, Ι. Βλαχάβας, Ε. Χατζηκρανιώτης, Γ. Μπισδικιάν, Ι. Ρεφανίδης, Ι. Λεύκος, Κ. Κορομπίλης, Δ. Βράκας, Λ. Γάλλος και Ι. Νικολαϊδης. Σύνθετο Εργαστηριακό Περιβάλλον για τη διδασκαλίας της Θερμότητας και της Θερμοδυναμικής. Πρακτικά του 2nd Ελληνικού Συνεδρίο Πληροφοριακών και Τηλεπικοινωνιακών Τεχνολογιών στην Εκπαίδευση, 331-340, Πάτρα, Οκτώβριος 2000.
          • D. Vrakas, I. Refanidis and I. Vlahavas. An Operator Distribution Method for Parallel Planning. In Proceedings of the ΑΑΑΙ Workshop on Parallel and Distributed Search for Reasoning, held in conjunction with the 17th National Conference of AAAI, 17-21, USA, July 2000.
          • I. Refanidis and I. Vlahavas. The GRT Planner: New Results. In ECAI-00 PostWorkshop Proceedings in Local Search Techniques for Planning and Scheduling, Springer, LNAI 2148, 120-138.
          • I. Refanidis and I. Vlahavas. Heuristic Planning with Resources. In Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-2000), Berlin, August 2000, 521-525.
          • I. Refanidis and I. Vlahavas. Exploiting State Constraints in Heuristic State-Space Planning. In Proceedings of the 5th International Conference on Artificial Intelligence Planning and Scheduling Systems (AIPS-2000), Breckenridge, Colorado, USA, April 2000, 363-370.

          1999

          • D. Vrakas, I. Refanidis, F. Milcent and I. Vlahavas. On the Parallelization of Greedy Regression Tables: Parallelizing the Greedy Regression Tables Heuristic. In Proceedings of the 18th Workshop of the Planning and Scheduling SIG, 180-189, December 1999, UK.
          • I. Refanidis, I. Vlahavas and L. Tsoukalas. On Determining and Completing Incomplete States in STRIPS Domains. In Proceedings of the IEEE International Conference on Information, Intelligence and Systems, Washington DC, November 1999, 289-296.
          • I. Refanidis and I. Vlahavas. GRT: A Domain Independent Heuristic for STRIPS Worlds based on Greedy Regression Tables. In Proceedings of the 5th European Conference on Planning, September 1999, Durham, UK, Springer-Verlag (LNAI 1809), 1999, 347-359.
          • I. Refanidis and I. Vlahavas. SSPOP: A State-Space Non-Linear Planner. In Proceedings of the 3rd SCI'99 / 5th ISAS'99, Orlando, Florida, 1999, V240-246.
          • I. Stamelos, I. Refanidis, P. Katsaros, A. Tsoukias, I. Vlahavas and A. Pomportsis. Automating the Evaluation of Educational Software. In Proceedings of the 5th International Conference of the Decision Sciences Institute, Athens, 4-7 July 1999, 1369-1373.
          • Other (0 records)

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