PREFACE - SETN 2016setn2016.csd.auth.gr/wp-content/uploads/setn2016_programFULL.pdf · from TU...

PREFACE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

COMMITTEES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

KEYNOTES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

TUTORIAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

DEMO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

WORKSHOPS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

BRIEF PROGRAM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

WEDNESDAY 18 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

THUSDAY 19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

FRIDAY 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

CITY INFO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

CITY MAP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

INDEX

PREFACE

Dear Colleagues and Friends,

It is our great pleasure to welcome you at the 9th Hellenic Conference on Ar-tificial Intelligence (SETN 2016) taking place on May18th - 20th in Thessaloniki, Greece.

The Hellenic Conference on Artificial Intelligence is organized biannually by the Hellenic Artificial Intelligence Society (EETN). It has already been estab-lished as one of the most prominent forums for Greek and International AI scientists to present original and high-quality research on emergent topics of Artificial Intelligence. SETN 2016 highly encourages international partici-pation. The official language of the conference is English.

SETN was first held in 1996 (University of Piraeus) and then in 2002 (Aristotle University of Thessaloniki). Since then it has occurred biannually: at the Uni-versity of the Aegean (2004, 2008), the University of Crete (2006), the NCSR Demokritos (2010), the University of Central Greece (2012) and the Univer-sity of Ioannina (2014). Over the years, SETN has become one of the premier events for the discussion and dissemination of research results in the field of AI, produced mainly by Greek scientists from institutes both in Greece and around the world. The two major goals of the conference are (a) to pro-mote research in AI, one of the most exciting and active research areas in computer science and engineering and (b) to bring together scientists and engineers from academia and industry to discuss the challenging problems encountered and the solutions that could be adopted.

SETN 2016 received 68 submissions from 16 different countries in Europe, Asia, Africa and Oceania, and on several different topic areas such as Con-straint Satisfaction Problems, Planning and Search, Agents, Machine Learn-ing, Evolutionary Algorithms and Neural Networks, Pattern Recognition and AI applications. Each submission was carefully reviewed by at least three members of the Program Committee, as well as by the chairs of the PC. From the 68 submissions, 23 were accepted as full papers and 16 as short papers-for presentation at the conference, in 8 sessions, and publication in the elec-tronic proceedings and the ACM Digital Library.

The technical program of the conference also includes 2 distinguished keynote addresses from two prominent members of the AI community, Prof. Angelo Cangelosi from Plymouth University, and Johannes Fürnkranz from TU Darmstadt, 1 nectar paper session, 2 workshops and 1 tutorial.

Constructive reviewer feedback is one of the keys to a high-quality con-ference year after year because it encourages each of us, as a researcher, to make our work more complete, or reach a little further. We would like

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to thank all the members of the SETN 2016 Program Committee for their hard work which made this 9th conference in SETN series possible. We ac-knowledge our distinguished invited speakers for their insightful keynotes. We also thank all the authors for choosing SETN as a forum to publish their research results. We would also like to express our sincere gratitude to the members of the SETN Organizing Committee for their valuable support and arrangements.

We would like to thank all our supporters and sponsors. We wish to thank EasyChair administrator, who helped us with the electronic submission and review system. Last but not least, we thank ACM for their support and coop-eration.

We hope you enjoy the excellent academic and cultural atmosphere of the SETN 2016.

Nick BassiliadesAntonis BikakisDimitris Vrakas

Ioannis VlahavasGeorge Vouros

SETN 2016 chairs

PREFACE

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COMMITTEES

GENERAL CHAIRSIoannis Vlahavas, Aristotle University of ThessalonikiDimitris Vrakas, Aristotle University of Thessaloniki

CO-CHAIRGeorge Vouros, EETN President

PROGRAM CHAIRSNick Bassiliades, Aristotle University of ThessalonikiAntonis Bikakis, University College London (UCL)

WORKSHOP AND TUTORIALS CHAIRGrigorios Tsoumakas, Aristotle University of Thessaloniki

STEERING COMMITTEEAristidis Likas, University of Ioannina (SETN ’14 Co-Chair)Konstantinos Blekas, University of Ioannina (SETN ’14 Co-Chair)Dimitris Kalles, Hellenic Open University (SETN ’14 Co-Chair)Ilias Maglogiannis, University of Pireaus (SETN ’12 Co-Chair)Vassilis Plagianakos, University of Thessaly (SETN ’12 Co-Chair)

LOCAL ORGANIZING COMMITTEEAthanasios Tsadiras, Aristotle University of ThessalonikiElias Sakellariou, University of MacedoniaEfstratios Kontopoulos, Centre for Research and Technology HellasGeorge Meditskos, Centre for Research and Technology Hellas

WEB CHAIRFotis Kokkoras, Technological Educational Institute of Thessaly

ORGANISING COMMITTEE

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COMMITTEES

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PROGRAM COMMITTEE

Christos-Nikolaos Anagnostopoulos, University of the Aegean, GRIon Androutsopoulos, Athens University of Economics and Business, GRGrigoris Antoniou, University of Huddersfield, UKAntonis Argyros, ICS-FORTH, GRAlexander Artikis, NCSR “Demokritos”, GRSotiris Batsakis, University of Huddersfield, UKChristos Berberidis, International Hellenic University, GRKonstantinos Blekas, University of Ioannina, GRGeorgios Chalkiadakis, Technical University of Crete, GRVasileios Chasanis, University of Ioannina, GRSotirios Chatzis, Cyprus University of Technology, CYTheo Damoulas, Cornell University, USAChristos Dimitrakakis, Chalmers University of Technology, SEYannis Dimopoulos, University of Cyprus, GRGeorgios Dounias, University of the Aegean, GRGiorgos Flouris, ICS-FORTH, GRTodor Ganchev, Technical University of Varna, BGAntonios Gasteratos, Democritus University of Thrace, GRBasilis Gatos, NCSR “Demokritos”, GRManolis Gergatsoulis, Ionian University, GRIoannis Hatzilygeroudis, University of Patras, GRDimitris Iakovidis, Technological Educational Institute of Lamia, GRAntonis Kakas, University of Cyprus, GRDimitris Kalles, Hellenic Open University, GRAchilles Kameas, Hellenic Open University, GRKostas Karatzas, Aristotle University of Thessaloniki, GRVangelis Karkaletsis, NCSR “Demokritos”, GRIoannis Katakis, University of Athens, GRErgina Kavallieratou, University of the Aegean, GRPetros Kefalas, The University of Sheffield International Faculty, CITY College, GRElpida Keravnou-Papailiou, University of Cyprus, CYFotis Kokkoras, Technological Educational Institute of Thessaly, GRStefanos Kollias, National Technical University of Athens, GR

COMMITTEES

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PROGRAM COMMITTEE

Yiannis Kompatsiaris, CERTH – ITI, GRStasinos Konstantopoulos, NCSR “Demokritos”, GREfstratios Kontopoulos, CERTH – ITI, GRConstantine Kotropoulos, Aristotle University of Thessaloniki, GRIrene Kotsia, International Hellenic University, GRCostas Koutras, University of Peloponnese, GRKonstantinos Koutroumbas, National Observatory of Athens, GRKalliopi Kravari, Aristotle University of Thessaloniki, GRAristidis Likas, University of Ioannina, GRSpiros Likothanassis, University of Patras, GRIlias Maglogiannis, University of Piraeus, GRGeorge Magoulas, Birkbeck College, UKManolis Maragoudakis, University of the Aegean, GRGeorgios Meditskos, CERTH – ITI, GRLoizos Michael, Open University of Cyprus, CYRob Miller, University College London, UKIosif Mporas, University of Hertfordshire, UKPhivos Mylonas, National Technical University of Athens, GRChristophoros Nikou, University of Ioannina, GRGeorgios Paliouras, NCSR “Demokritos”, GRChristos Papatheodorou, Ionian University, GRKonstantinos Parsopoulos, University of Ioannina, GRIoannis Partalas, Viseo R&D, FRTheodore Patkos, ICS-FORTH, GRPavlos Peppas, Sydney University of Technology, AUGiorgos Petasis, NCSR “Demokritos”, GRVassilis Plagianakos, University of Thessaly, GRDimitris Plexousakis, ICS-FORTH, GRGeorge Potamias, ICS-FORTH, GRIoannis Pratikakis, Democritus University of Thrace, GRIoannis Refanidis, University of Macedonia, GRIlias Sakellariou, University of Macedonia, GRMichail Salampasis, Vienna University of Technology, AT

COMMITTEES

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Efstathios Stamatatos, University of the Aegean, GRDemosthenes Stamatis, Technological Educational Institute of Thessaloniki, GRGiorgos Stamou, National Technical University of Athens, GRThanos Stavropoulos, Aristotle University of Thessaloniki, GRPetros Stefaneas, National Technical University of Athens, GRKostas Stefanidis, ICS-FORTH, GRKostas Stergiou, University of Western Macedonia, GRGiorgos Stoilos, National Technical University of Athens, GRChrysostomos Stylios, Technological Educational Institute of Epirus, GRAndreas Symeonidis, Aristotle University of Thessaloniki, GRAnastasios Tefas, Aristotle University of Thessaloniki, GRMichalis Titsias, Athens University of Economics and Business, GRChristos Tjortjis, International Hellenic University, GRPanos Trahanias, ICS-FORTH, GRAthanasios Tsadiras, Aristotle University of Thessaloniki, GRIoannis Tsamardinos, University of Crete, GRGrigorios Tsoumakas, Aristotle University of Thessaloniki, GRYannis Tzitzikas, ICS-FORTH, GRNikos Vassilas, Technological Educational Intitute of Athens, GRStavros Vassos, Sapienza University of Rome, ITDimitrios Vogiatzis, NCSR “Demokritos”, GRSpyros Vosinakis, University of the Aegean, GRGeorge Vouros, University of Piraeus, GR

PROGRAM COMMITTEE

KEYNOTES

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Angelo Cangelosi is Professor of Artificial Intelligence and Cognition and the Director of the Centre for Ro-botics and Neural Systems at Plymouth University (UK). Cangelosi studied psychology and cognitive science at the Universities of Rome La Sapienza and at the Univer-sity of Genoa, and was visiting scholar at the University of California San Diego and the University of Southamp-ton. Cangelosi’s main research expertise is on language grounding and embodiment in humanoid robots, devel-opmental robotics, human-robot interaction, and on the application of neuromorphic systems for robot learning. He currently is the coordina-tor of the UK EPSRC project “BABEL: Bio-inspired Architecture for Brain Embodied Lan-guage” (2012-2016) and of the EU H2020 Marie Skłodowska-Curie European Industrial Doctorate “APRIL: Applications of Personal Robotics through Interaction and Learning” (2016-2019). He also is Principal investigator for the ongoing projects “THRIVE” (US Air Force Office of Science and Research, 2014-1018), the FP7 projects POETICON++ and ROBOT-ERA, and the Marie Curie projects SECURE, DCOMM, ORATOR and DECORO. He was coordinator of the ITALK Integrating project and the RobotDoc ITN. Overall, he has secured over £15m of research grants as coordinator/PI. Cangelosi has produced more than 250 scientific publications, and has chaired numerous workshops and conferenc-es including the IEEE ICDL-EpiRob 2011 and 2013 Conferences (Frankfurt 2011, Osaka 2013). In 2012-13 he was Chair of the IEEE Technical Committee on Autonomous Men-tal Development. Cangelosi is Editor (with K. Dautenhahn) of the journal Interaction Studies, and in 2015 was Editor-in-Chief of IEEE Transactions on Autonomous Develop-ment. His latest book “Developmental Robotics: From Babies to Robots” (MIT Press; co-authored with Matt Schlesinger) was published in January 2015.

WED18 14:30 Angelo Cangelosi

Developmental Robotics for Embodied Language LearningGrowing theoretical and experimental research on action and language processing and on number learning and gestures clearly demonstrates the role of embodiment in cognition and language processing. In psychology and neuroscience this evidence constitutes the basis of embodied cognition, also known as grounded cognition (Pezzulo et al. 2012; Borghi & Cangelosi 2014). In robotics, these studies have important implications for the design of linguistic capabilities in cognitive agents and robots for human-robot communication, and have led to the new interdisciplinary approach of Developmental Robotics (Cangelosi & Schlesinger 2015). During the talk we will present examples of de-velopmental robotics models and experimental results from iCub experiments on the embodiment biases in early word acquisition and grammar learning (Morse et al. 2015), experiment on the pointing and finger counting in number

KEYNOTES

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learning (De La Cruz et al. 2014) and on mental imagery and rotation (Seep-anomwan et al. 2015). The presentation will also discuss the implications for the symbol grounding problem (Cangelosi, 2012) and how embodied robots can help addressing the issue of embodied cognition and the grounding of symbol manipulation use on sensorimotor intelligence.

Cangelosi A, Schlesinger M (2015). Developmental Robotics: From Babies to Robots. Cambridge, MA: MIT Press.Cangelosi A. (2012). Solutions and open challenges for the symbol grounding prob-lem. International Journal of Signs and Semiotic Systems, 1(1), 49-54 (with commen-taries)De La Cruz V., Di Nuovo A., Cangelosi A., Di Nuovo S. (2014). Making fingers and words count in a cognitive robot. Frontiers in Behavioral Neuroscience, 8, 13 10.3389/fnbeh.2014.00013Morse A., Belpaeme T, Smith L, Cangelosi A. (2015). Posture affects how robots and infants map words to objects PLoS ONE, 10(3) 10.1371/journal.pone.0116012Borghi A.M., Cangelosi A. (2014). Action and language integration: From humans to cognitive robots. Topics in Cognitive Science, 6, 344–358. 10.1111/tops.12103Pezzulo G., Barsalou L.W., Cangelosi A., Fischer M.H., McRae K., Spivey M. (2013). Computational grounded cognition: A new alliance between grounded cognition and computational modelling. Frontiers in Psychology, 6(612), 1-11. doi:10.3389/fp-syg.2012.00612Seepanomwan K., Caligiore D., Cangelosi A., Baldassarre G. (2015). Generalization, decision making, and embodiment effects in mental rotation: A neurorobotic ar-chitecture tested with a humanoid robot. Neural Networks, 7:31-47 doi:10.1016/j.neunet.2015.09.010

KEYNOTES

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Johannes Fürnkranz is Professor for Knowledge Engi-neering at TU Darmstadt. He has studied at the Techni-cal University Vienna, the University of Chicago, and at Carnegie Mellon University. His research interests are in machine learning and data mining, in particular in pref-erence learning, rule learning, multi-label classification, and their applications to game playing, web mining, and the social sciences. He is a frequent member of pro-gram committees of relevant conferences, was co-chair of ECML/PKDD 2006, ICML 2010, and Discovery Science 2013, and serves as an action editor of “Machine Learning” and the editor-in-chief of the journal “Data Mining and Knowledge Discovery”.

On the understandability of rule learningOne of the standard arguments in favor of inductive rule learning algorithms is that the rules that they learn are understandable. In this talk, we will ques-tion this assumption, in particular with respect to commonly used rule learning heuristics that aim at learning rules that are as simple as possible. We will, in contrary, argue that in many cases, short rules are not what is desirable from the point of view of understandability. To that end, we will show propose that cri-teria for evaluating rule refinements should be inverted, in the sense that their greedy rule refinement process should not aim for covering positive examples but for excluding negative examples. We motivate this choice by examples, and show that a suitably adapted rule learning algorithm outperforms its original counter-part on a large set of benchmark problems. Interestingly, it turns out that rules learned with such inverted heuristics tend to be much longer, yet not more specific than rules learned with conventional rules, which makes this tech-nique particularly interesting for subgroup discovery. We also relate this tech-nique to the learning of characteristic rules, to formal concept analysis, and the mining of closed itemsets.

THU19 09:30 Johannes Fürnkranz

TUTORIAL

Georgios Chalkiadakis is an Associate Professor at the School of Electronic and Computer Engineering, Techni-cal University of Crete (TUC). Before joining TUC in 2011, he was a Research Fellow at the School of Electronics and Computer Science, University of Southampton, UK. His research interests primarily lie in the areas of multiagent systems, Bayesian reasoning and learning, decision mak-ing under uncertainty, algorithmic game theory, and in-telligent agent technologies for the Smart Grid. His PhD thesis (University of Toronto, 2007) was a finalist for the

IFAAMAS-2007 Victor Lesser Distinguished Dissertation Award. Georgios is a co-author of the much-cited, graduate-level textbook “Computational Aspects of Cooperative Game Theory” (Morgan & Claypool Publishers, 2011). His published work has received several best paper awards and best paper award nominations in major international conferences. He currently serves as an editorial board member of the Journal of Arti-ficial Intelligence Research (JAIR); and as the elected General Secretary of the Hellenic Artificial Intelligence Society (EETN). Moreover, he has served as a senior program com-mittee and program committee member at several top international conferences, and as a reviewer for several top journals in his areas of expertise; and has co-organized and co-chaired several international scientific workshops and summer schools. More details on Georgios’ research can be found at http://www.intelligence.tuc.gr/~gehalk .

Georgios Chalkiadakis FRI20 09:30

Cooperative Games in Multiagent SystemsCooperative (or coalitional) games provide an expressive and flexible framework for modeling collaboration in multi-agent systems. However, from a computational perspective, cooperative games present a number of challenges. In this tutorial, we survey work on several aspects of cooperative games and their applications to mul-ti-agent systems. We assume a basic knowledge of AI principles, but no knowledge of game theory or cooperative games. We introduce the basic models used in coop-erative game theory, and the relevant solution concepts. We then describe the key computational issues surrounding such models, and survey the main approaches developed over the past 15 years for representing and reasoning about cooperative games in AI and computer science in general. Following that, we discuss the aspects of cooperative games that are particularly important in multi-agent settings, such as uncertainty and decentralized coalition formation algorithms. We conclude by presenting recent applications of these ideas in multi-agent scenarios.

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DEMO

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THU19 14:30 Robotic Demonstration

Pupils, students, amateurs and professionals in Robotics field, are participating into the robotics expedition event. The aim is the information of the Robotics level in Greece and its connection with the Artificial Intelligence. Researchers and professionals of the academic field, will advise and encourage the partici-pants for new creations. The level of Robotics projects is from a pupil’s construc-tion to a practical team construction or a professional one. A large number of awards will be given for the innovation, the imagination, the construction, the programming etc., in multiple levels (school, laboratory, professional).

Organising CommitteeThanasis Balafoutis, Electrical and Computer Engineer, GRAntonios Gasteratos, Democritus University of Thrace, GRHarris Georgiou, Informatics Systems Engineer, GRErgina Kavallieratou, University of the Aegean, GRStasinos Konstantopoulos, NCSR “Demokritos”, GRMichalis Lagoudakis, Technical University of Crete, GRNikolaos Mavridis, Interactive Robots and Media Lab, GRNektarios Moumoutzis, Technical University of Crete, GREvangelos Papadopoulos, National Technical University of Athens, GRPanos Trahanias, ICS-FORTH, GR

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Workshop on Artificial Intelligence and the Internet of Things Recent advances in computer systems and in communication technologies and protocols, as well as in service-oriented architectures (SoA) and everything as a service (EaaS), constitute a prelude to the Internet of Things (IoT) technology. The main feature of this technology is the integration of heterogeneous and multimodal sensors, processing units and action elements (actuators) in a dis-tributed and ambient environment. Billions of devices are expected to be inter-connected and integrated as services, which can be used and re-used by devel-opers making the building and realization of complex applications easier. So, the coming new digital market envisions this ambient environment where the physical world, computer-based systems and humans are integrated and seam-lessly interoperate, resulting in an improved social and economic marketplace.

Dealing with the interconnection of billions of smart devices and services is a big challenge and IoT has turned into a very hot topic. A brief list of the main problems encountered within the IoT ecosystem includes the virtualization of devices and smart systems, the discoverability and composition of services, the interoperability among different sectors, the management and event rec-ognition of Big stream data, multi-lingual alignment, human-robot interaction, fraud detection and/or prediction, etc. However, the solutions to these prob-lems should take into account apart from the voluntary of data, their veracity (noise, incomplete and erroneous) and the requirement for real time response, that characterize the IoT ecosystem.

This workshop aims at providing the ground for disseminating new and in-teresting ideas on how artificial intelligence (AI) can make a valuable contribu-tion to the solution of the problems mentioned above.

Organising CommitteeConstantine Spyropoulos (Chair), Institute of Informatics and Telecommunications, NCSR ‘Demokritos’, GRGrigorios Tzortzis, Institute of Informatics and Telecommunications, NCSR ‘Demokritos’, GREvaggelos Spyrou, Institute of Informatics and Telecommunications, NCSR ‘Demokritos’, GRGeorgios Pierris, Institute of Informatics and Telecommunications, NCSR ‘Demokritos’ , GR

AI-IoT2016 WED18 09:30

WORKSHOPS

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WORKSHOPS

Program CommitteeConstantine Spyropoulos, NCSR ’Demokritos’, Athens (Chair), GRDemosthenes Anagnostopoulos, Harokopio University of Athens, GRAlexandros Artikis, Univ. of Piraeus & NCSR ‘Demokritos’, Athens, GRIoannis Chatzigiannakis, Computer Technology Institute & Press (CTI), Patras, GRPanagiotis Demestichas, University of Piraeus, GRNikolaos Facotakis, University of Patras, GRMinos Garofalakis, Technical University of Crete, GRTheodoros Giannakopoulos, NCSR ’Demokritos’, Athens, GRNikos Hatziargiriou, National Technical University of Athens, GRVangelis Karkaletsis, NCSR ’Demokritos’, Athens, GRIoannis Kompatsiaris, Centre for Research & Technology Hellas (CERTH), Thessaloniki, GRManolis Koubarakis, Kapodistrian University of Athens, GREirini Ntoutsi, Leibniz Universität Hannover, GEGeorge Paliouras, NCSR ’Demokritos’, Athens, GRStavros Perantonis, NCSR ’Demokritos’, Athens, GREuripides Petrakis, Technical University of Crete, GRGeorgios Pierris, NCSR ’Demokritos’, Athens, GRStelios Piperidis, Athena Research Center, Athens, GRDimitris Plexousakis, University of Crete, GRAlexandros Potamianos, National Technical University of Athens, GRIoannis Refanidis, University of Macedonia, Thessaloniki, GREirini Spyropoulou, Barclays Bank, London, UKEvaggelos Spyrou, NCSR ’Demokritos’, Athens, GRGeorge Stamou, National Technical University of Athens, GRGrigorios Tzortzis, NCSR ’Demokritos’, Athens, GRNikolaos Vassiliadis, Aristotelian University of Thessaloniki, GRIoannis Vetsikas, NCSR ’Demokritos’, Athens, GRIoannis Vlahavas, Aristotelian University of Thessaloniki, GRGeorge Vouros, University of Piraeus, GR

Workshop’s websitehttp://ai-iot2016.iit.demokritos.gr/

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Workshop on Artificial Intelligence for the Smart Grid The transition to a new generation of electricity networks, the so-called Smart Grid, that will be able to make efficient use of renewable energy sources, support real time and efficient demand response, as well as the large scale deployment of elec-tric vehicles (EVs) are vital should the climate change is to be controlled. However, in order for such a transition to be successful, a number of problems must be solved. Artificial intelligence (AI) and multi-agent systems (MAS) techniques and method-ologies can be instrumental in addressing sustainability problems and questions, for example to increase the efficiency and effectiveness of the way we manage and allocate our natural and societal resources. This will also enrich and transform AI, by providing new challenges. Moreover, the IEEE Intelligent System Applications subcommittee has recently recognized the usefulness of Artificial Intelligence (AI) approaches in solving key power system challenges. As such, an increasing number of publications in leading AI and MAS conferences and journals address Smart Grid-related problems, and a number of relevant workshops have already appeared in leading AI and MAS conferences (e.g. the AAAI-15 Workshop on Computational Sustainability, the AAAI-16 Workshop on AI for Smart Grids and Smart Buildings, and others).

Against this background, the aim of this workshop is to bring together research-ers from the AI, power systems and transportation communities, and work as a place for recent advancements in this field to be presented and discussed. This workshop will be dedicated to papers concerned with innovative notions, models, algorithms, techniques, methodologies, and systems, in order to address problems in the field of AI and the Smart Grids.

Organising CommitteeNick Bassiliades, Aristotle University of Thessaloniki, GreeceGeorgios Chalkiadakis, Technical University of Crete, GreeceSarvapali D. Ramchurn, University of Southampton, UKEmmanouil Rigas, Aristotle University of Thessaloniki, Greece

AI4SG2016 WED18 09:30

WORKSHOPS

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WORKSHOPS

Program CommitteeArchie Chapman, University of Sydney, AUMathijs De Weerdt, Delft University of Technology, NLSotirios Diamantas, Athens Information Technology, GRChristos Ioakeimidis, Universite de Mons, BEDenia Kolokotsa, Technical University of Crete, GRRamachandra Kota, IBM Research, INEftichios Koutroulis, Technical University of Crete, GRFernando Lopes, LNEG, PTValentin Robu, Heriott-Watt University, UKThanos Stavropoulos, Centre for Research & Technology Hellas, GRSebastian Stein, University of Southampton, UKAndreas Symeonidis, Aristotle University of Thessaloniki, GRDimitrios Tsiamitros, TEI of Western Macedonia, GRNikos Tsourveloudis, Technical University of Crete, GRKonstantina Valogianni, Erasmus University, NLIoannis Vetsikas, NCSR Demokritos, GRGeorge Vouros, University of Piraeus, GR

Workshop’s websitehttp://lpis.csd.auth.gr/ai4sg/index.html

08:30-09:30 REGISTRATION

09:30-13:00WORKSHOP

AI-IOTWORKSHOP

AI4SG

13:00-14:20 LUNCH BREAK

14:20-14:30 WELCOME ADDRESS

14:30-15:30KEYNOTE I

BY CANGELOSI

15:30-16:00 COFFEE BREAK

16:00-18:00SESSION

CSP

SESSIONPATTERN

RECOGNITION

18:30-20:30 WELCOME RECEPTION

↑ROOM

PATOULIDOU A

↑ROOM

PATOULIDOU B

SETN2016WED18

9th Hellenic Conferenceon Artificial Intelligence

May 18-20, 2016 Thessaloniki, Greece

09:30-10:30KEYNOTE II

BY FÜRNKRANZ


11:00-13:00SESSION

AI APPLICATIONS

SESSIONML-1


14:30-15:30 ROBOTIC DEMONSTRATION


16:00-18:00SESSIONSEARCH

SESSIONML-2

21:00 CONFERENCE DINNER

09:30-11:00TUTORIAL

BY CHALKIADAKIS


11:30-13:30SESSIONAGENTS

SESSIONNN &

EVOLUTIONARY ALG


15:00-16:00 EETN General Assembly

16:00-17:00SESSIONNECTAR

17:00-17:15 SETN CONCLUSION BY THE CHAIRS

↑ROOM

PATOULIDOU A

↑ROOM

PATOULIDOU B

↑ROOM

PATOULIDOU A

↑ROOM

PATOULIDOU B

THU19 FRI20

BRIEFPROG

Room PATOULIDOU A

Registration

Lunch Break

Coffee Break

Welcome Reception

Welcome Address by the Chairs

Workshop AI-IoT

Workshop on Artificial Intelligence and the Internet of Things

09:30 - 13:00

08:30 - 09:30

13:00 - 14:20

15:30 - 16:00

16:00 - 18:00

18:30 - 20:30

14:30 - 15:30

14:20 - 14:30

WED18

18

Keynote I

Angelo Cangelosi Developmental Robotics

for Embodied Language LearningChair Ioannis Vlahavas

CSP

Chair Ilias Sakellariou

Michael Sioutis, Zighuo Long and Sanjiang LiF Efficiently Reasoning about Qualitative Constraints through

Variable Elimination Minas Dasygenis and Kostas StergiouF Using Parallelization to Efficiently Exploit the Pruning Power

of Strong Local Consistencies Wady Naanaa F Extending the Broken Triangle Property tractable class of

binary CSPs Omrani Mohamed Amine and Wady Naanaa S A constrained molecular graph generation with imposed and

forbidden fragments Nikolaos Pothitos and Panagiotis Stamatopoulos S Constraint Programming MapReduce’d

Room PATOULIDOU B

Workshop AI4SG

Workshop on Artificial Intelligence for the Smart Grid

09:30 - 13:00

08:30 - 09:30

13:00 - 14:20

15:30 - 16:00

16:00 - 18:00

18:30 - 20:30

14:20 - 14:30

WED18

19

Pattern Recognition

Chair Nikos Nikolaidis

Georgios Paraskevopoulos, Evaggelos Spyrou and Dimitrios Sgouropoulos

S A Real-Time Approach for Gesture Recognition using the Kinect Sensor

Nikos Vasilopoulos and Ergina KavallieratouS Complex layout analysis based on contour classification and

morphological operations Mozammel H Chowdhury, Junbin Gao and Rafiqul Islam S Distance Measurement of Objects using Stereo Vision Merkourios Simos and Nikolaos Nikolaidis S Greek sign language recognition using the leap motion device Iosif Mporas and Michael Paraskevas S Automatic Forest Wood Logging Identification based on

Acoustic Monitoring Christos Maramis, Vasilis Kilintzis and Nicos Maglaveras S Real-time Bite Detection from Smartwatch Orientation Sensor

Data

Room PATOULIDOU A

Lunch Break

Coffee Break

Robotic Demonstration

13:00 - 14:30

10:30 - 11:00

11:00 - 13:00

09:30 - 10:30

14:30 - 15:30

THU19

20

Keynote II

Johannes Fürnkranz On the understandability

of rule learningChair Grigorios Tsoumakas

AI Applications

Chair Stasinos Kostantopoulos

Ines Berrazega, Rim Faiz, Asma Bouhafs and Ghassan Mourad

F A Semantic Annotation Model for Arabic Legal Texts Alexandros Chortaras, Stefanos Kollias,

Kostas Rapantzikos and Giorgos StamouF A Semantic Approach to Film Content Analysis and Retrieval Dimitris Kalles F Artificial Intelligence meets Software Engineering in

Computing Education Chairi Kiourt, George Pavlidis and Dimitris Kalles S ReSkill: Relative Skill-Level Calculation System

→

Room PATOULIDOU B

13:00 - 14:30

10:30 - 11:00

11:00 - 13:00

14:30 - 15:30

THU19

21

ML-1

Chair Anastasios Tefas

Argyris Kalogeratos, Panagiotis Zagorisios and Aristidis Likas

F Improving Text Stream Clustering using Term Burstiness and Co-burstiness

Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas and Ioannis Vlahavas

S Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data

Konstantinos Bougiatiotis and Theodoros Giannakopoulos

F Content Representation and Similarity of Movies based on Topic Extraction from Subtitles

Konstantinos Koutroumbas, Spyridoula Xenaki and Athanasios Rontogiannis

S Detecting hyperplane clusters with adaptive possibilistic clustering

Shumail Arshad and Christos Tjortjis S Clustering Software Metric Values Extracted from C# Code for

Maintainability Assessment

F Full papers are scheduled for approximately 20 minutes presentation followed by 5 minutes Q&A.

S Short papers are scheduled for approximately 12 minutes presentation followed by 3 minutes Q&A

→

Room PATOULIDOU A

Conference Dinner21:00

16:00 - 18:00

THU19

22

Search

Chair Ioannis Refanidis

Moses Symeonidis, Dimitris Giouroukis and Dimitris Vrakas

F Towards a validator for planning problems Vasileios Tatsis and Konstantinos ParsopoulosF Grid Search for Operator and Parameter Control in

Differential Evolution Nikolaos Pothitos and Panagiotis Stamatopoulos F Piece of Pie Search: Confidently Exploiting Heuristics Georgios Drakopoulos, Andreas Kanavos

and Athanasios Tsakalidis F A Neo4j Implementation of Fuzzy Random Walkers

Room PATOULIDOU B

21:00

16:00 - 18:00

THU19

23

ML-2

Chair Dimitris Kalles

Eftychia Fotiadou, Ioannis Kapsouras, Nikos Nikolaidis and Anastasios Tefas

S A Bag of Words approach for recognition of Greek folk dances Nikolaos Passalis and Anastasios TefasF Spectral Clustering using Optimized Bag-of-Features Anestis Fachantidis, Athanasios Tsiaras, Grigorios

Tsoumakas and Ioannis Vlahavas S Segmento: An R-based Visualization-rich System for

Customer Segmentation and Targeting Yoel Tenne F Classifier-assisted optimization frameworks Apostolos Adamakos and Michalis Titsias F Short-Term Load Forecasting using a Cluster of Neural

Networks for the Greek Energy Market



Room PATOULIDOU A

Lunch Break

Coffee Break

SETN conclusion by the chairs

EETN General Assembly

Tutorial

Georgios Chalkiadakis Cooperative Games in Multiagent Systems

Chair Antonis Bikakis

09:30 - 11:00

13:30 - 15:00

11:00 - 11:30

11:30 - 13:30

16:00 - 17:00

18:30 - 20:30

15:00 - 16:00

FRI20

24

Agents

Nectar

Chair Panagiotis Stamatopoulos

Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos and Konstantinos Blekas

F Autonomous navigation of an over-actuated marine platform using reinforcement learning

Panagiotis Kofinas, George Vouros and Anastasios DounisF Energy Management in Solar Microgrid via Reinforcement Learning Amelia Badica, Costin Badica and Florin Leon F Modeling and Enactment of Business Agents in AgentSpeak Sotiris Karapostolakis, Emmanouil Rigas,

Nick Bassiliades and Sarvapali Ramchurn S EVLib: A Library for the Management of the Electric Vehicles in the

Smart Grid Charalambos Rossides and Stasinos Konstantopoulos S Simultaneous Localisation and Mapping to Reach Linguistically-

Defined Targets

Chair George Vouros

Nikolaos Spanoudakis and Pavlos MoraitisF Engineering Ambient Intelligence Systems using Agent Technology.

IEEE Intelligent Systems Ioannis Tsamardinos, Sofia Triantafillou,

Giorgos Borboudakis and Vincenzo LaganiF Constraint-based Causal Discovery from Multiple Interventions over

Overlapping Variable Sets, Journal of Machine Learning Research

Room PATOULIDOU B

13:30 - 15:00

11:00 - 11:30

11:30 - 13:30

FRI20

25

NN & Evolutionary Alg

Chair Ergina Kavallieratou

Aggelos Gaitanidis, Vassilios Vassiliadis, Christos Kyriklidis and Georgios Dounias

F Hybrid Evolutionary Algorithms in Resource Leveling Optimization: Application in a Large Real Construction Project of a 50000 DWT Ship

Vassilis Makris and Dimitris KallesF Evolving Multi-Layer Neural Networks for Othello Maria Tzelepi and Anastasios Tefas F Relevance Feedback in Deep Convolutional Neural Networks for

Content Based Image Retrieval Markos Georgopoulos, Ioannis Gonos and Ioannis Stathopulos F Determination of a new formula for the electrical fast transient / burst

waveform using genetic algorithm Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis and

Ioannis Pitas F Efficient MapReduce Kernel k-Means for Big Data Clustering



26

CITYINFO

Conference VenueGrand Hotel Palace305, Monastiriou Str • 546 28 Thessaloniki • +30 231 054 9000 www.grandhotelpalace.gr

City of Thessaloniki official webpagewww.visitgreece.gr/en/main_cities/thessaloniki

Emergency numbersPolice 100Fire brigade 199Ambulance 166

Telephone directory enquiriesLocal 11888Theatres & cinemas 1422

Taxi CompaniesWhite Tower (Lefkos Pyrgos) +30 231 024 6104 Makedonia +30 231 055 0500 Taxi Mercedes +30 231 052 4499

More moving around the cityOrganization of Urban Transportation of Thessalonikihttp://oasth.gr/

Thessaloniki Airport “Macedonia”Information Centre +30 231 047 3212, 231 047 3312Flights information +30 231 047 3977, 231 047 3720

Thessaloniki Tourist Office136, Tsimiski str • 546 21 ThessalonikiTel. Center +30 231 025 2170Tourist Facilities +30 231 025 4834

CITYINFO

Traveling to Thessaloniki

If you travel to Thessaloniki by plane, the airport “Macedonia” (Int’l IATA code SKG)is 20 km away from the Grand Hotel Palace.

If you travel to Thessaloniki by train, the Railway Station is 2 km away from the Grand Hotel Palace.

If you travel to Thessaloniki by coach (“ΚΤΕΛ” in Greek), the “Makedonia” Central Coach Station is 1 km away from the Grand Hotel Palace. Please note that some coach companies do not end the trip at the Central Coatch Station. You should consult them (or their site) for details.

Moving around the city with urban transportation is very easy. There is a route calculator in the site of the Organization of Urban Transportation of Thessaloniki (http://oasth.gr/), that you probably find useful.

Consider also the Cultural Route No 50, especially if you are short of time, to see all the historical and cultural monuments of Thessaloniki. There is a Cultural Route Leaflet in the site.

27

Port Rotonda

Heptapyrgion

Archaelogical Museum

Aristotle University of

Thessaloniki

University of

Macedonia

CITYMAP

Ancient forum

Cultural Route No 50

Kamara

White Tower of Thessaloniki

Museum of Byzantine

Culture

Aristotelous Square

PREFACE - SETN 2016setn2016.csd.auth.gr/wp-content/uploads/setn2016_programFULL.pdf · from TU...

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