Program AIAI 2012

7/31/2019 Program AIAI 2012

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8

th AIAI

CONFEREN

CE

Septembe

r2012

27-30

Program

Halkidiki,Greece


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Preace

Ater 50 years o research in Articial Intelligence (AI), the dream o intelligent machines that

use sophisticated and advanced approaches is becoming a reality. AI researchers have already

created systems capable o tackling complicated and challenging problems. Scientists havedeveloped analytical models and corresponding systems which can mimic human behavior

and cognition, they can understand speech, beat experts human chess players, and countless

other eats that can have a potential impact in our everyday lives. It is a act that humans are a

species that learn by training plus trial and error, so it can be considered rational to see AI more

as a blessing and less as an inhibition. On the other hand the misuse o AI technology is always

a potential.

The 8th AIAI conerence is supported and sponsored by the International Federation or Inor-

mation Processing (IFIP). It is the ocial conerence o the IFIPs Working Group 12.5 Articial

Intelligence Applications. IFIP was ounded in 1960 under the auspices o UNESCO, ollowingthe rst World Computer Congress held in Paris the previous year. The 1st AIAI conerence was

held in Toulouse/France in 2004 and since then it has been held annually oering scientists the

chance to present the achievements o AI applications in various elds.

This Springer volume belongs to the IFIP AICT series. It contains the papers that were accepted

to be presented orally at the main event o the 8th AIAI conerence and the papers accepted or

the 8 workshops that were organized as parallel events, namely: the 2nd AIAB, the 1st AIeIA, the

2nd CISE, the 1st COPA, the 1st IIVC, the 3rd ISQL, the 1st MHDW and the 1st WADTMB. More details

on the workshops will be given in the ollowing paragraphs.

The 8th AIAI conerence was held during 27-30 o September 2012 at the Sithonia penin-

sula o Halkidiki/Greece. The diverse nature o papers presented demonstrates the vitality o

AI computing approaches and proves the very wide range o AI applications as well. On the

other hand, this volume contains basic research papers, presenting variations and extensions

o several existing methodologies.

The response to the call or papers was more than satisactory with 98 papers initially submitted

to the main event. All papers have passed through a peer review process by at least 2 indepen-

dent academic reerees. Where needed a third reeree was consulted to resolve any conficts.

In the 8th

AIAI conerence, 43.9% o the submitted manuscripts (totally 44) were published in theProceedings as ull papers whereas 5.1% as short ones. The authors o accepted papers o the

main event come rom 17 dierent countries, namely: Belgium, Croatia, Cyprus, Czech Republic,

France, Germany, Great Britain, Greece, Iran, Italy, Pakistan, Poland, Portugal, Romania, Russia,

Tunisia, United States o America.

Three keynote speakers were invited to lecture to the 8th AIAI conerence.

1. Dr. Danil Prokhorov rom Toyota Research Institute NA, Ann Arbor, Michigan will deliver a

talk with a title Computational Intelligence in Automotive Applications.

2. Proessor David Robertson rom University o Edinburgh will talk on Knowledge Engi-

neering on a Social Scale.


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3. Pro. Dr. Bernard De Baets rom KERMIT, Ghent University will talk on: Monotonicity issues in

uzzy modelling, machine learning and decision making.

Also, two tutorials were organized in the ramework o the AIAI 2012.

1. Proessor Tatiana Tambouratzis rom the University o Piraeus will ocus on Identication oKey Music Symbols or Optical Music Recognition and On-Screen Presentation.

2. Proessor Costin Badica rom (University o Craiova will ocus on Negotiations in Multi-Agent

Systems.

The accepted papers o the 8th AIAI conerence are related to the ollowing thematic topics:

- Articial Neural Networks

- Bioinormatics

- Clustering- Control systems

- Data mining

- Engineering Applications o AI

- Face Recognition - Pattern Recognition

- Filtering

- Fuzzy Logic

- Genetic algorithms, Evolutionary computing

- Hybrid Clustering Systems- Image and Video Processing

- Multi Agent Systems

- Multi attribute DSS

- Ontology - Intelligent Tutoring systems

- Optimization, Genetic Algorithms

- Recommendation Systems

- Support Vector Machines - Classication

- Text Mining

Totally 8 workshops were organized as parallel events to AIAI2012 conerence. Each one o

these workshops was related to a specic AI topic, and was managed by internationally well-

recognized colleagues, who ormed the specic workshop programs mainly by invitation to

prominent authors.

All workshops had a high correspondence rom scientists rom all parts o the globe, rom

Europe to Australia and we would like to thank all participants or this. More specically, scien-

tists rom 13 countries (Australia, Belgium, Cyprus, Finland, France, Germany, Greece, Italy,Romania, South Korea, Spain, United Kingdom and USA) submitted interesting and innovative

research papers to the eight workshops.


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We are grateul to Pros. Harris Papadopoulos, Ethyvoulos Kyriacou (Frederick University,

Cyprus) Pro. Ilias Maglogiannis (University o Central Greece) and Pro. George Anastasso-

poulos (Democritus University o Thrace, Greece) or their common eort towards the organiza-

tion o the 2nd Articial Intelligence Applications in Biomedicine Workshop (AIAB2012).

WewishtoexpressourgratitudetoProf.AchilleasKameasandDr.AntoniaStefani(Hellenic

Open University, Greece) or adding the 1st AI in Education Workshop: Innovations and

Applications (AIeIA2012) into the amily o the AIAI workshops.

WeareveryhappytoseethatAIAIworkshopsarerepeatedeveryyearwiththepresen-

tation o new and resh research eorts. Many thanks to Pro. Andreas Andreou (Cyprus

University o Technology) and Dr. E Papatheocharous (University o Cyprus) or the orga-

nization o the 2nd International Workshop on Computational Intelligence in Sotware Engi-

neering (CISE2012).

Weare,also,veryhappyfortheorganizationofthe1st

Conormal Prediction and its Appli-cations Workshop (COPA2012) by Pro. Harris Papadopoulos (Frederick University, Cyprus)

and Pros. Alex Gammerman and Vladimir Vovk (Royal Holloway, University o London).

The 1st Intelligent Innovative Ways or Video-to-video Communication in Modern Smart

Cities Workshop (IIVC2012) was an important part o the AIAI 2012 event and it was driven

by the hard work by Drs. Ioannis P. Chochliouros and Ioannis M. Stephanakis (Hellenic Tele-

communications Organization - OTE, Greece), and Pros. Vishanth Weerakkody (Brunel

University, UK) and Nancy Alonistioti (National & Kapodistrian University o Athens).

Itisapleasuretohostthe3rd Intelligent Systems or Quality o Lie Inormation Services

Workshop (ISQL2012) or one more time in the ramework o the AIAI conerence. We wishto sincerely thank Pros. Kostas Karatzas (Aristotle University o Thessaloniki) and Mihaela

Oprea (University o Petroleum-Gas o Ploesti) or the presentation o AI applications in the

crucial topics o sustainable development and quality o lie.

WewouldlikethankProfs.SpyrosSioutas,IoannisKarydisandKatiaKermanidis(allwiththe

Ionian University, Greece) or their kind eort to organize the 1st Mining Humanistic Data

Workshop (MHDW2012).

Finally,wewouldliketothankProfsAthanasiosTsakalidisandChristosMakris(allwiththe

University o Patras, Greece) or the very successul organization o the 1 st Workshop on

Algorithms or Data and Text Mining in Bioinormatics (WADTMB2012).

Ater eight years, the AIAI conerence has become a mature well established event with loyal

ollowers and it has plenty o new and qualitative research results to oer to the International

scientic community. We hope that these proceedings will be o major interest or scientists

and researchers world wide and that they will stimulate urther research in the domain o Arti-

cial Neural Networks and AI in general.

September 2012AIAI 2012 Chairs


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Organization

Executive Committee

General chair Tharam Dillon, Curtin University o Technology, Australia

Honorary chairs Max Bramer, University o Portsmouth, UK

Andreas Andreou, Cyprus University o Technology, Cyprus

Dominic Palmer Brown, Dean London Metropolitan University, UK

Program Committee Lazaros Iliadis, Democritus University o Thrace, Greece

co-chairs Ilias Maglogiannis, University o Central GreeceHaris Papadopoulos, Frederick University, Cyprus

Workshop chair Kostas Karatzas,Aristotle University o Thessaloniki, Greece

Spyros Sioutas, Ionian University, Greece

Advisory chair Chrisina Jayne, University o Coventry, UK

Organizing chairs Yannis Manolopoulos,Aristotle University o Thessaloniki, Greece

Elias Pimenidis, University o East London, UK

Web chair Ioannis Karydis, Ionian University, Greece


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Program Committee

Members Aldanondo Michel, Ecole Des Mines D Albi, France

Alexandridis Georgios, National Technical University o Athens, Greece

Anastassopoulos George, Democritus University o Thrace, Greece

Andreadis Ioannis, Democritus University o Thrace, Greece

Badica Costin, University o Craiova, Romania

Bankovic Zorana, Universidad Politecnica de Madrid, Spain

Bessis Nick, University o Bedordshire, UK

Caridakis Georgios, National Technical University o Athens, Greece

Charalambous Christooros, Frederick University, Cyprus

Chatzioannou Aristotelis, National Hellenic Research Foundation, Greece

Constantinides Andreas, Frederick University, Cyprus

Donida Labati Ruggero, University o Milano, ItalyDoukas Charalampos, University o Aegean, Greece

Fernandez de Canete Javier, University o Malaga, Spain

Flaounas Ilias, University o Bristol, UK

Magda Florea Adina, Polytechnic University o Bucharest, Romania

Fox Charles, University o Sheeld, UK

Gaggero Mauro, National Research Council o Italy

Gammerman Alex, Royal Holloway, University o London, UK

Georgiadis Christos, University o Macedonia, Greece

Georgopoulos Estratios, Hellenic Open University, GreeceHajek Petr,Academy o Sciences, Czech Republic

Hatzilygeroudis Ioannis, University o Patras, Greece

Kabzinski Jacek, Politechniki Lodzkiej, Poland

Kalampakas Antonios,Aristotle University, Greece

Kameas Achilles, Hellenic Open University, Greece

Karpouzis Kostas, National Technical University o Athens, Greece

Karydis Ioannis, Ionian University, Greece

Kealas Petros, City College, Thessaloniki Greece

Kermanidis Katia, Ionian University, Greece

Kitikidou Kyriaki, Democritus University o Thrace, Greece

Kosmopoulos Dimitrios, University o Texas at Arlington, USA

Koutroumbas Kostantinos, University o Athens, Greece

Kurkova Vera,Academy o Sciences, Czech Republic

Kyriacou Ethyvoulos, Frederick University, Cyprus

Lazaro Jorge Lopez, Universidad Autonoma de Madrid, Spain

Lorentzos Nikos,Agricultural University o Athens, Greece

Lykothanasis Spyridon, University o Patras, GreeceMalcangi Mario, Universita degli Studi di Milano, Italy

Maragkoudakis Manolis, University o Aegean, Greece


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PC Members (continued) Marcelloni Francesco, University o Pisa, Italy

Margaritis Kostantinos, University o Macedonia, Greece

Mouratidis Harris, University o East London, UK

Nicolaou Nicoletta, University o Cyprus

Onaindia Eva, Universidad Politecnica de Valencia, Spain

Oprea Mihaela, University o Petroleum-Gas, Ploiesti, Romania

Papatheocharous E, University o Cyprus

Partalas Ioannis, Laboratoire d Inormatique, Grenoble, France

Pericleous Savas, Frederick University, Cyprus

Plagianakos Vassilis, University o Central Greece

Rao Vijay, India

Roveri Manuel, Politecnico di Milano, Italy

Sakelariou Ilias, University o Macedonia, Greece

Samaras Nikos, University o Macedonia, GreeceSchizas Christos, University o Cyprus

Senatore Sabrina, Universita degli Studi di Salerno, Italy

Sgarbas Kyriakos, University o Patras, Greece

Sideridis Alexandros,Agricultural University o Athens, Greece

Spartalis Stephanos, Democritus University o Thrace, Greece

Stamelos Ioannis,Aristotle University, Greece

Stephanakis Ioannis, National Technical University o Athens, Greece

Tambouratzis Tatiana, University o Piraeus, Greece

Tsapatsoulis Nikos, Cyprus University o TechnologyTscherepanow Marko, University o Bieleeld, Germany

Tsiligkiridis Theodoros,Agricultural University o Athens, Greece

Tsitiridis Aristeidis, Craneld University, UK

Tsoumakas Grigorios,Aristotle University, Greece

Tzouramanis Theodoros, University o Aegean, Greece

Verykios Vassilios, University o Thessaly, Greece

Voulgaris Zacharias, Georgia Institute o Technology, USA

Vouyioukas Demosthenis, University o Aegean, Greece

Vovk Volodya, Royal Holloway, University o London, UK

Yialouris Kostas,Agricultural University o Athens, Greece

Yuen Peter, Craneld University, UK


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Keynote Lectures

Pro. Dr. Bernard De Baets

KERMIT, Ghent University, Belgium

Full Professor at Ghent University

Co-Editor-in-Chief, Fuzzy Sets and Systems journal

Monotonicity issues in fuzzy modelling,

machine learning and decision making

In many modelling problems, there exists a monotone relationship between one or more o

the input variables and the output variable, although this may not always be ully the case inthe observed input-output data due to data imperections. Monotonicity is also a common

property o evaluation and selection procedures. In contrast to a local property such as conti-

nuity, monotonicity is o a global nature and any violation o it is thereore simply unacceptable.

We explore several problem settings where monotonicity matters, including uzzy modelling,

machine learning and decision making.

Dr. Danil Prokhorov

Toyota Research Institute NA, Ann Arbor, Michigan

Vice President for Conferences of the INNS (International Neural Network Society)

Associate Editor of Neural Networks, IEEE Trans. on Neural Networks and IEEE Trans. on Autono-

mous Mental Development

Senior Member of both IEEE and INNS

Computational Intelligence

in Automotive Applications

Computational intelligence is traditionally understood as encompassing articial neural, uzzy

and evolutionary methods and associated computational techniques. Dierent CI methodolo-

gies oten get combined with each other and with non-CI methods to achieve superior results

in various applications. In this presentation I will discuss CI methodological issues and illustrate

them with several applications rom the areas o vehicle manuacturing, vehicle system moni-

toring and control, as well as active saety. These will be representative o CI applications in the

industry and beyond. I will also discuss some lessons learned about successul and yet-to-be-

successul industrial applications o CI.

Thursday, September 27

15:30 - 16:30

Friday, September 28

09:00 - 10:00


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Proessor David Robertson

University o Edinburgh, UK

Head of School of Informatics

Leader, Software Systems and Processes research group

Editor in Chief, AI Review journal, Automated Experimentation journal

Knowledge Engineering on a Social Scale

For much o its history, ormal knowledge representation has aimed to describe knowledge

independently o the personal and social context in which it is used, with the advantage that

we can automate reasoning with such knowledge using mechanisms that also are context inde-

pendent. This sounds good until you try it on a large scale and nd out how sensitive to contextmuch o reasoning actually is. Humans, however, are great hoarders o inormation and sophis-

ticated tools now make the acquisition o many orms o local knowledge easy. The question

is: how to combine this beyond narrow individual use, given that knowledge (and reasoning)

will inevitably be contextualised in ways that may be hidden rom the people/systems that may

interact to use it? This is the social side o knowledge representation and automated reasoning.

I will discuss how the ormal reasoning community has adapted to this new view o scale, using

examples rom my own research and that o others.

Saturday, September 29

09:00 - 10:00


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16:30 - 17:30


11:45- 12:45

Tutorials

Dr Tatiana Tambouratzis

Associate Proessor, Dept. o Industrial Management & Technology, University o Piraeus, Greece

Identifcation o Key Music Symbols

or Optical Music Recognition

and On-Screen Presentation

A novel optical music recognition (OMR) system is put orward, where the custom-madeon-screen presentation o the music score (MS) is promoted via the recognition o key music

symbols only. The proposed system does not require perect manuscript alignment or noise

removal. Following the segmentation o each MS page into systems and, subsequently,into

staves, sta lines, measures and candidate music symbols (CMSs), music symbol recognition

is limited to the identication o the cles, accidentals and time signatures. Such an implemen-

tation entails signicantly less computational eort than that required by classic OMR systems,

without an observable compromise in the quality o the on-screen presentation o the MS. The

identication o the music symbols o interest is perormed via probabilistic neural networks

(PNNs), which are trained on a small set o exemplars rom the MS itsel. The initial results are

promising in terms o eciency, identication accuracy and quality o viewing.

Dr Costin Badica

Proessor, Dept. o Sotware Engineering, University o Craiova, Romania

Negotiations in Multi-Agent Systems

The increasing complexity o real-world problems demands special support or distributed

collaborative problem solving. Multi-agent systems (MAS) are lightweight distributed systems

that combine interaction, coordination and distribution o computation or collaborative

problem solving. Negotiation, i.e. the process by which a group o agents come to a mutu-

ally acceptable agreement on some matter is very useul or managing dynamic dependen-

cies between agents. The aim o this tutorial is to introduce the problems and challenges o

applying negotiations in MAS using examples rom dierent areas including e-business anddisaster management.


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Workshops

1st Mining Humanistic Data Workshop

MHDW 2012

Program chairs:

Spyros Sioutas,Department o Inormatics, Ionian University, Greece

Katia Lida Kermanidis,Department o Inormatics, Ionian University, Greece

Ioannis Karydis, Department o Inormatics, Ionian University, Greece

Spyros Sioutas,Department o Inormatics, Ionian University, Greece

The abundance o available data that is retrieved rom or is related to the areas o Humanities challengesthe research community in processing and analyzing it. The aim is two-old: on the one hand, to extract

knowledge that will help understand human behavior, creativity, way o thinking, reasoning, learning,

decision making, socializing; on the other hand, to exploit the extracted knowledge by incorporating

it into intelligent systems that will support humans in their everyday activities. The nature o human-

istic data can be multimodal, dynamic, time and space-dependent, and highly complicated. Trans-

lating humanistic inormation, e.g. behavior, state o mind, artistic creation and linguistic utterance, into

numerical or categorical low-level data is a signicant challenge on its own. New mining techniques,

appropriate to deal with this type o data, need to be proposed and existing ones adapted to its special

characteristics. The workshop aims to bring together interdisciplinary approaches that ocus on theapplication of innovative as well as existing mining and knowledge discovery techniques (like decision

rules, decision trees, association rules, clustering, ltering, learning, classier systems, neural networks,

support vector machines, preprocessing, post processing, feature selection, visualization techniques) to

data derived rom all areas o Humanistic Sciences, e.g. linguistic, historical, behavioral, psychological,

artistic, musical, educational, social etc.

1st Conormal Prediction and its Applications

WorkshopCOPA 2012

Program chairs:

Harris Papadopoulos, Frederick University, Cyprus

Alex Gammerman, Royal Holloway, University o London, UK

Royal Holloway, University o London, UK

Quantiying the uncertainty o the predictions produced by classication and regression techniques is

an important problem in the eld o Machine Learning. Conormal Prediction is a recently developed

ramework or complementing the predictions o Machine Learning algorithms with reliable measures


10:15 - 11:15

12:45 - 14:0016:20 - 17:2017:30 - 18:40


13:15 - 14:1515:20 - 16:40


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o condence. The methods developed based on this ramework produce well-calibrated condence

measures or individual examples without assuming anything more than that the data are generated

independently by the same probability distribution (i.i.d.). Since its development the framework hasbeen combined with many popular techniques, such as Support Vector Machines, k-Nearest Neigh-

bours, Neural Networks, Ridge Regression etc., and has been successully applied to many challenging

real world problems, such as the early detection o ovarian cancer, the classication o leukaemiasubtypes, the diagnosis o acute abdominal pain, the assessment o stroke risk, the recognition o

hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of networktrac demand, the estimation o efort or sotware projects and the backcalculation o non-linear

pavement layer moduli. The ramework has also been extended to additional problem settings such

as eature selection, outlier detection, change detection in streams and active learning. The aim o this

workshop is to serve as a orum or the presentation o new and ongoing work and the exchange o

ideas between researchers on any aspect o Conormal Prediction and its applications.

2nd Artifcial Intelligence Applicationsin Biomedicine Workshop

AIAB 2012

Program Chairs:

Harris Papadopoulos, Frederick University, Cyprus

Ethyvoulos Kyriacou, Frederick University, Cyprus

Ilias Maglogiannis, University o Central Greece, Greece

George Anastassopoulos, Democritus University o Thrace, Greece

Recent technological advances in computer science and biomedicine acilitated the development

o complex biomedical systems including sophisticated medical imaging, signal processing systems

and computer based decision support tools, assisting diagnosis or better delivery o health care

services. Meanwhile, applications o Machine Learning, Neural Computing, Expert Systems, Fuzzy

Logic and Evolutionary Computing in biomedicine are continuously emerging. Thereore AI tools

and techniques are a vital part o modern computer based systems that handle medical data. The

aim o this workshop is to serve as a orum or the presentation o new and ongoing work and the

exchange o ideas between researchers interested in the application o AI in any aspect o biomedi-cine and electronic healthcare.

2nd International Workshop on Computational

Intelligence in Sotware Engineering

CISE 2012

Program chairs:

Andreas S. Andreou, Department o Computer Engineering and Inormatics, Cyprus University oTechnology, Cyprus

Ef Papatheocharous, Department o Computer Science, University o Cyprus, Cyprus


18:00 - 19:30


17:00 - 18:20


18:00 - 19:30


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The CISE workshop ocuses on theoretical and applied research related to the utilization o

Computational Intelligence techniques in Sotware Engineering, targeting the provision o alternative,

interdisciplinary approaches or tackling problems ound in Sotware Engineering. The aim o the

workshop is to host research papers that present practical solutions to emerging Sotware Engineering

issues by applying Computational Intelligence methods. The workshop is associated with research and

development advances in many elds o Sotware Engineering and particularly the study, analysis,design, modelling, implementation and application o Computational Intelligence techniques that

tackle signicant Sotware Engineering problems. The topics o interest call, especially, or papers with

theoretical and practical importance, while research papers reporting emerging and innovative ideas

are also highly desirable. Nature-inspired Computational Intelligence methodologies demonstrate

adaptive behaviour and learning ability. As such, they can be efectively utilized to address convoluted

problems and applications in real-world environments, where traditional methodologies and

approaches nd highly complex and dicult to tackle. Particularly, techniques associated with

learning, reasoning, optimization and decision making, such as Fuzzy Systems, Articial Neural

Networks, Evolutionary Computing, Swarm Intelligence, Articial Immune Systems, Dempster-ShaerTheory, Chaos Theory and Multi-valued Logic, may be applied in real-world conditions and serve

the Sotware Engineering community. The integration o Sotware Engineering with Computational

Intelligence is very important to both academic and research communities as well as to sotware

industries. In act, sotware development teams adopt a variety o conceptual and algorithmic

practices that are combined with Computational Intelligence methods within various areas o

Sotware Engineering, such as Project Management, Risk Analysis, Testing, Cost Estimation and Failure

Modelling. Computational Intelligence also provides the means or more precise measurement o

sotware metrics and more efective handling o uncertainty or ambiguity o inormation.

1st Workshop on Algorithms or Data and Text

Mining in Bioinormatics

WADTMB 2012

Program chairs:

Athanasios Tsakalidis, University o Patras, Greece

Christos Makris, University o Patras, Greece

The aim o this workshop is to bring together researchers that are interested in designing, devel-

oping and applying ecient data and text mining techniques or discovering the underlying knowl-

edge existing in biomedical data. Bioinormatics is an emerging eld o science that plays a crucial

role in managing, processing and computationally analyzing biological and biomedical data such

as sequences, gene expressions and pathways. Biomedical researchers ace the undamental issue

o making ecient use o a tremendous amount o data that is produced and deposited in public,

in order to improve and enhance their understanding o complex biomedical systems. As a result,

there is an urgent need or novel ecient computational methods and tools to acilitate the process

o managing and discovering useul patterns and knowledge rom these large biomedical datarepositories. Data mining plays an essential role in Bioinormatics since it is the process o auto-

matic discovering o hidden meaningul and useul patterns and correlations in large amounts o

Friday, September 2812:45 - 14:0016:20 - 17:2017:30 - 18:40


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data. Data mining approaches provide tools or dealing with biomedical problems such as protein

structure prediction, ecient clustering o gene expression data and ecient gene classication.

Also, o signicant importance is biomedical text mining, that is the process o automatically

exploiting enormous amount o knowledge available in biomedical literature such as automatic

extraction o protein-protein interactions, named entity recognition, text classication and termi-

nology extraction. Although considerable progress has been made recently in these areas, manyo the undamental issues in bioinormatics such as the ability o completely automatic extraction

o useul inormation rom structured or unstructured data remain open challenging tasks. The

proposed workshop aims at giving the opportunity to researchers to present their original work

on issues pertaining to data and text mining in bioinormatics. We encourage papers that present

novel mining techniques and tools or the ollowing tasks: Biomedical Database management,

Gene expression analysis, Protein structure prediction, Prediction o protein-protein interaction, Text

Mining in Biomedical Literature, Web Mining Bioinormatics applications.

1st AI in Education Workshop: Innovations andApplications

AIeIA 2012

Program chairs:

Achilleas Kameas, Hellenic Open University, Greece

Antonia Steani, Hellenic Open University, Greece

The use o Inormation Technologies in Education has been extensively researched in the past ewyears with a plethora o solutions already in use by numerous organizations. However, user adop-

tion diculties in real situations has only demonstrated that the primary need is the design o tech-

niques and tools that have a real practical impact and acilitate a paradigm shit in the educational

model. This shit in the Educational paradigm is ocused on knowledge construction, which will

enhance, not replace, the classic inormation transer paradigm. The management o knowledge in

Educational contexts enables social learning, active collaboration among human peers and espe-

cially enhanced presence. The next generation o Inormation technology tools in Education will

acilitate the transormation o inormation into knowledge, by humans as well as -progressively-

by sotware agents, providing the electronic underpinning or a global society in business, govern-ment, research, science and education. Articial Intelligence can be a major enabling technology or

this type o Educational paradigm. AIs application in Education is one o the oldest yet still prom-

ising and most exciting research topics with a signicant practical impact. Especially Knowledge

Management has yet much to oer in the way computing in education is used. The goal o the Work-

shop is to assess the impact o Knowledge Management to current Educational practices and more

signicantly, to identiy opportunities, benets and drawbacks to current practices that will permit

progress beyond the state o the art. The Workshop aims at addressing theoretical and practical

issues concerning new trends in knowledge discovery, acquisition representation, sharing and reuse.

By accepting original contributions rom platorm and tool providers, researchers and system devel-opers rom academia and industry it soughts to be a orum or exchanging ideas and experiences,

sharing o best practices and ostering urther development in the application o AI in Education.


12:15 - 13:15


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1st Intelligent Innovative Ways or Video-to-video

Communication in Modern Smart Cities Workshop

IIVC 2012

Program chairs:

Ioannis P. Chochliouros, Hellenic Telecommunications Organizations (OTE) S.A, Greece

Ioannis M. Stephanakis, Hellenic Telecommunications Organizations (OTE) S.A, Greece

Vishanth Weerakkody, Brunel University, UK

Nancy Alonistioti, National & Kapodistrian University o Athens, Greece

The Digital Agenda or Europe intends to sustain ast and ultraast Internet access as well as the

development and operation o several open platorms able to provide new and innovative prod-

ucts and related services, especially in the framework of the Future Internet (FI). In the presentcontext, both citizens and legal entities (organizations, enterprises-companies, (state) authori-

ties, etc.) in urban environment are facing with a multiplicity of challenges that appropriate invest-

ments -or properly selective initiatives- in pioneering ICT-based solutions can help to address and

to promote innovative responses, especially those based on user-driven initiatives. O particular

importance become various activities aiming to develop modern solutions or acilities/services

o higher quality in communications that should make a benecial and really eective use o the

wider context o the Internet o the Future. Until today, user-driven open innovation methodologies

have proven that they can drastically improve the eciency o the innovation process by bridging

between R&D and market entry supporting better and aster take-up o R&D results. In this scope,they are very rapidly becoming the new mainstream method o innovating. Living Labs are specic

examples o such open innovation environments in real-lie settings, in which user-driven innova-

tion is ully integrated within the co-creation process o new services, products and societal inra-

structures.

Cities (or urban areas) are continuously faced with major challenges that require investment in inno-

vative solutions (particularly the ICT-based ones) to improve the quality and eciency of their infra-

structures and services oered. Some anticipate and are leaders in adopting smarter development

models and may perorm a kind o pioneering role in engaging the user in the expected innova-

tion process. Building upon existing user-driven innovation initiatives in Europe, the critical aim isto ensure a wider implementation o open platorms or the provision o Internet-enabled services

in cities and thus to include an active involvement o citizens. These platorms should be able to

develop innovation ecosystems accelerating the move towards smart cities and providing a

wide range o opportunities or new, higher quality, and sustainable services or citizens and busi-

nesses as well. In act, this also delimits the essential ramework that is actually taken into account

the LiveCity PSP-ICT Project (Grant Agreement No.297291) eort aiming, among other issues, to the

development and the operation of suitable applied initiatives (through pilot actions) with the aim of

accelerating the uptake o innovative Internet-based technologies and services in cities. These apply

user-driven open innovation methodologies across networks of smart cities and may combine: (i)User-driven open innovation, (ii) Connected smart cities, and (iii) Internet-based services. In this

scope it should be a matter o particular importance or the LiveCity Project to identiy channels


12:45 - 14:0015:00 - 16:0017:30 - 18:40


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and or other means or potential interaction with related innovative and extended ecosystems, such

as Living Labs, intending to bridge the gap between the development o Internet-based technolo-

gies and their rapid uptake in new services.

3rd Intelligent Systems or Quality o Lieinormation Services Workshop

ISQL 2012

Program chair:

Kostas Karatzas,Aristotle University o Thessaloniki, Greece

Program vice-chairs:

Lazaros Iliadis, Democritus University o Thrace, Greece

Mihaela Oprea, University Petroleum-Gas o Ploiesti, Romania

Quality of Life (QoL) is directly related to environmental pressures and conditions, including air

quality, pollen, drinking and bathing water quality, noise pollution, waste production, energy

consumption, nutrition and many others. Intelligent systems collect data about the environ-

ments status and quality, at the individual user and business level, through the use o participa-

tory environmental sensing and available ICT and web 2.X technologies. Computational intelli-

gence methods are particularly suitable or environmental modeling, knowledge extraction and

generation o knowledge intensive e-services content, thus being necessary or the development o

QoL inormation services. On the other hand, the developments in ICT make environmental data &services ubiquitous. The plethora o patterns o everyday lie, as well as the availability o various ICT

that are interwoven to the urban web, lead to intelligent, personalized and yet easily generalized

ways or monitoring, modeling and managing environmental systems and conditions. It is thereore

evident that services, systems, applications and algorithms dealing with everyday utility or the indi-

vidual, are expected to play an important role in supporting QoL. On this basis, QoL environmental

inormation services are expected to make use o personalized access and interactivity to multi-

modal inormation, based on user preerences and semantic concepts or human-machine interace

systems utilizing inormation on the aective state o the user. The proposed workshop will address

intelligent methods or analyzing and modeling environmental systems and conditions, with theaim to serve the everyday needs o citizens under various QoL states. Human centric approaches in

environmental inormation services will also be addressed, as they require intelligent, knowledge-

centric methods and tools, that are fexible, adaptable to environmental problems, and perorm

better in terms o knowledge mapping and system behavior reproduction.

Saturday, September 2915:20 - 16:4017:00 - 18:20


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Friday 28/09/12

08:30-09:00 Registration

09:00-10:00Invited talk by

Prokhrov

10:15-11:15Session 2

OPT-GA

Session 3

ANN 1

Workshop

MHDW 1

11:15-11:45 Cofee Break

11:45-12:45Tutorial by

Badica

12:45-14:00Workshop

WADTMB 1

Workshop

IIVC 1

Workshop

MHDW 2

14:00-15:00 Lunch

15:00-16:20Session 4

LE-DM 1

Session 5

LE-DM 2

Workshop

IIVC 2


16:40-17:40Session 6

FL 1

Workshop

MHDW 3

Workshop

WADTMB 2

17:40-19:20Session 7

FL 2EAAI 1

Workshop

MHDW 4

Workshop

WADTMB 3

20:30 Gala Dinner

Thursday 27/09/12



De Baets

16:30-17:30Tutorial by

Tambouratzis


18:00-19:30

Session 1

ANN_CL

& PR

Workshop

AIAB 1

Workshop

CISE

20:30 Welcome Reception

Program at a glance


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Saturday 29/09/12



Robertson

10:00-12:00Session 8

CL-PR 1

Session 9

EAAI

& MAS

COST

Tutorials


12:15-13:15Session 10

MAS

Session 11

MA DSS 1

Workshop

AIeIA

13:15-14:15Session 12

CLU 1

Session 13

IVCP

Workshop

COPA 1

14:15-15:20 Lunch

15:20-17:00Session 14

CLU 2

Workshop

COPA 2

Workshop

ISQL 1


17:15-18:30 WorkshopISQL 2

WorkshopAIAB 2

Sunday 30/09/12

09:00-17:00Mount Athos

Cruise


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Detailed Program

Thursday 27/9/2012

Registration (at Athena Pallas Village) 15:00-15:30

Welcome message by Proessor Ilias Maglogianis, IFIP representative

Keynote Lecture 1 Plenary Session 1

15:30-16:30Proessor Bernard De Baets

Monotonicity issues in uzzy modelling, machine learning and decision making

Chair: Ilias Maglogiannis

Tutorial 1 Plenary Session 2

Proessor Tatiana Tambouratzis

Identication o key music symbols or optical music recognition and on-screenpresentation

Chair: Vera Kurkova

16:30-17:30

COFFEE BREAK 17:30-18:00

AIAI Session 1: ANN_CL & PR

ANN-Classifcation & Pattern RecognitionChair: Tatiana Tambouratzis

18:00-19:30

Support vector machine classication o protein sequences to unctional

amilies based on moti selection

Danai Georgara, Katia Kermanidis, Ioannis Mariolis

A probabilistic approach to organic component detection in Leishmania

inected microscopy images

Pedro Alves Nogueira, Lus Filipe Telo


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Combination o M-estimators and neural network model to analyze

inside/outside bark tree diameters

Kyriaki Kitikidou, Elias Milios, Lazaros Iliadis, Minas Kaymakis

lti-classiy hybrid multilayered perceptron (HMLP) network or pattern

recognition applicationsFakroul Ridzuan Hashim, John Soraghan, Lykourgos Petropoulakis

Workshop

AIAB 1

Chair: Harris Papadopoulos

18:00-19:30

Future SDP through cloud architectures

Foteini Andriopoulou, Dimitrios Lymberopoulos

A Mahalanobis distance based approach towards the reliable detection o

geriatric depression symptoms co-existing with cognitive decline

Christos A. Frentzidis, Maria Diamantoudi, Eirini Grigoriadou,

Anastasia Semertzidou, Antonis Billis, Evdokimos Konstantinidis,

Manousos A. Klados, Ana B. Vivas, Charalampos Bratsas, Magda Tsolaki,

Constantinos Pappas, Panagiotis D. Bamidis

Combining outlier detection with random walker or automatic brain

tumor segmentation

Kanas Kanas, Evangelia I. Zacharaki, Evangelos Dermatas,

Anastasios Bezerianos, Kyriakos Sgarbas, Christos Davatzikos

Artifcial Neural Networks to Investigate the Importance and the Sensitivity

o Various Parameters used or the Prediction o Chromosomal Abnormalities

Andreas C. Neocleous, Kypros H. Nicolaides, Argiro Syngelaki, Christos N. Schizas,

Kleanthis C. Neokleous, Gianna Loizou, Costas K. Neocleous

Deployment o pHealth services upon Always Best Connected NextGeneration Network

Georgia N. Athanasiou, Dimitrios K. Lymberopoulos

Workshop

CISE

Chair: Andreas Andreou

18:00-19:30

Player modeling using HOSVD towards dynamic diculty adjustment in

videogames

Kostas Anagnostou, Manolis Maragoudakis


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Proposing a uzzy adaptation mechanism based on cognitive actors o

users or web personalization

E Papatheocharous, Marios Belk, Panagiotis Germanakos, George Samaras

Computational intelligence or user and data classication in hospital

sotware developmentMasoud Mohammadian, Dimitrios Hatzinakos, Petros Spachos

Articial intelligence applications or risk analysis, risk prediction and

decision making in disaster recovery planning or IT

Masoud Mohammadian

Welcome Reception (at Athena Pallas Village) 20:30

Friday 28/9/2012

Registration (at Athena Pallas Village) 8:30-9:00


9:00-10:00Proessor Danil Prokhrov

Computational intelligence in automotive applications

Chair: Bernard de Baets

AIAI Session 2: OPT-GA

Optimization-Genetic Algorithms

Chair: Spiros Likothanasis

10:15- 11:15

A Multi-objective genetic algorithm or sotware development team

stang based on personality types

Constantinos Stylianou, Andreas Andreou

An empirical comparison o several recent multi-objective evolutionary

algorithms

Thomas White, Shan He

Fine tuning o a wet clutch engagement by means o a Genetic algorithmYu Zhong, Abhishek Dutta, Bart Wyns, Clara Mihaela Ionescu, Gregory Pinte,

Wim Symens, Julian Stoev, Robin De Keyser


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AIAI Session 3: ANN1

Artifcial Neural Networks 1

Chair: Katia Kermanidis

10:15- 11:15

Surrogate modelling o solutions o integral equations by neural networksVera Kurkova

On the design and training o bots to play backgammon variants

Nikolaos Papahristou, Ioannis Reanidis

A representational MDL ramework or improving learning power o

neural network ormalisms

Alexey Potapov, Maxim Peterson

Workshop

MHDW1

Chair: Spyros Sioutas

10:15- 11:15

Web mining to create semantic content - a case study or the environment

Georgia Theocharopoulou, Konstantinos Giannakis

Melodic string matching via interval consolidation and ragmentation

Carl Barton, Emilios Cambouropoulos, Costas S. Iliopoulos, Zsuzsanna Liptak

Allocating, detecting and mining sound structures. an overview o

technical tools

Monika Dorfer

Cutting degree o meanders

A. Panayotopoulos, P. Vlamos


Tutorial 2 Plenary Session 4

Proessor Costin Badica

Negotiations in Multi-Agent Systems

Chair: Dominic Palmer-Brown

11:45-12:45


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Workshop

WADTMB 1

Chair: Christos Makris

12:45-14:00

Genome-based population clustering: nuggets o truth buried in a pile onumbers?

Marina Ioannou, George P. Patrinos, Giannis Tzimas

Parallel implementation o the Wu-Manber algorithm using the OpenCL

ramework

Themistoklis K. Pyrgiotis, Charalampos S. Kouzinopoulos,

Konstantinos G. Margaritis

Querying highly similar structured sequences, via binary encoding and

word level operationsAli Alatabbi, Carl Barton, Costas S. Iliopoulos, Laurent Mouchard

GapMis-OMP: pairwise short-read alignment on multi-core architectures

Tomas Flouri, Costas S. Iliopoulos, Kunsoo Park, Solon P. Pissis

Workshop

IIVC 1

Chair: Ioannis Chochliouros

12:45-14:00

Developing innovative live video-to-video communications or smarter

European cities

Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Evangelos Sakianakis,

Ioannis Stephanakis, Lati Ladid

Multimedia content distribution over next-generation heterogeneous

networks eaturing a service architecture o sliced resources

Ioannis P. Chochliouros, Ioannis M. Stephanakis

The impact o IPv6 on video-to-video and mobile video communications

Ioannis P. Chochliouros, Lati Ladid

Workshop

MHWD 2

Chair: Katia Kermanidis

12:45-14:00

Collective intelligence in video users activity

Ioannis Karydis, Markos Avlonitis, Spyros Sioutas


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An integrated ontology-based model or the early diagnosis o Parkinsons disease

Athanasios Alexiou, Maria Psiha, Panayiotis Vlamos

Learning vague knowledge rom socially generated content in an

enterprise ramework

Panos Alexopoulos, John Pavlopoulos, Phivos Mylonas

A mobile-based system or context-aware music recommendations

Karla Gomes

LUNCH 14:00-15:00

AIAI Session 4: LE-DM1

Learning and Data Mining 1Chair: Costin Badica

15:00-16:20

Improved POS-tagging or Arabic by combining diverse taggers

Maytham Alabbas, Allan Ramsay

Multithreaded implementation o the slope one algorithm or

collaborative ltering

Ethalia Karydi, Konstantinos Margaritis

A regularization network committee machine o isolated regularizationnetworks or distributed privacy preserving data mining

Yiannis Kokkinos, Konstantinos Margaritis

Experimental identication o pilot response using measured data rom a

ight simulator

Jan Boril, Rudol Jalovecky

AIAI Session 5: LE-DM2

Learning and Data Mining 2Chair: Konstantinos Margaritis

15:00-16:20

Physical Bongard problems

Erik Weitnauer - Helge Ritter

Taxonomy development and its impact on a sel-learning e-recruitment system

Evanthia Faliagka, Ioannis Karydis, Maria Rigou, Spyros Sioutas,

Athanasios Tsakalidis, Giannis Tzimas

Conceptualization, signicance study o a new application CS-Mir

Kaichun Chang, Carl Barton, Costas S. Iliopoulos


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A probabilistic knowledge-based inormation system or environmental

policy modeling and decision making

Amin Hosseinian-Far, Elias Pimenidis, Hamid Jahankhani

Workshop

IIVC 2

Chair: Ioannis Stephanakis

15:00-16:20

LiveCity: a secure live video-to-video interactive city inrastructure

Joao Goncalves, Luis Cordeiro, Patricio Batista, Edmundo Monteiro

Enhancing education and learning capabilities via the implementation o

video-to-video communications

Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Evangelos Sakianakis,Ioannis Stephanakis, Donal Morris, Martin Kennedy

Utilizing a high denition live video platorm to acilitate public service

delivery

Vishanth Weerakkody, Ramzi El-Haddadeh, Ioannis P. Chochliouros, Donal Morris

Video-to-video or e-health: use case, concepts and pilot plan

Makis Stamatelatos, George Katsikas, Petros Makris , Nancy Alonistioti,

Seraeim Antonakis, Dimitrios Alonistiotis, Panagiotis Theodossiadis


AIAI Session 6: FL1

Fuzzy Logic 1

Chair: Lazaros Iliadis

16:40-17:40

Fuzzy energy-based active contours exploiting local inormation

Stelios Krinidis, Michail Krinidis

Fuzzy graph language recognizability

Antonios Kalampakas, Steanos Spartalis, Lazaros Iliadis

Fuzzy riction modeling or adaptive control o mechatronic systems

Jacek Kabzinski

Workshop

MHDW 3Chair: Panayiotis Vlamos

16:40-17:40


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Predicting personality traits rom spontaneous modern Greek text:

overcoming the barriers

Maria Andreou, Eirini Banou, Soa Fanarioti, Vasilis Komianos, Eleni Moustaka,

Katia L. Kermanidis

Mood classication using lyrics and audio: a case-study in Greek musicSpyros Brilis, Evagelia Gkatzou, Antonis Koursoumis, Karolos Talvis,

Katia L. Kermanidis, Ioannis Karydis

Success is hidden in the students data

Dimitrios Kravvaris, Katia Kermanidis, Eleni Thanou

Workshop

WADTMB 2Chair: Evaggelia Zacharaki

16:40-17:40

Multi-genome core pathway identication through gene clustering

Dimitrios M. Vitsios, Fotis E. Psomopoulos, Pericles A. Mitkas, Christos A. Ouzounis

On topic categorization o PubMed query results

Andreas Kanavos, Christos Makris, Evangelos Theodoridis

Molecular modeling and conormational analysis o MuSK protein

Vasilis Haidinis, Georgios Dalkas, Konstantinos Poulas, Georgios Spyroulias

AIAI Session 7: FL2-EAAI1

17:40-19:20Fuzzy Logic 2 & Engineering Applications o AI 1

Chair: Elias Pimenidis

Adaptive intuitionistic uzzy inerence systems o Takagi-Sugeno type or

regression problems

Petr Hajek, Vladimir Olej

A hybrid method or evaluating biomass suppliers - use o intuitionistic

uzzy sets and multi-periodic optimization

Vassilis Gerogiannis, Vasiliki Kazantzi, Leonidas Anthopoulos

Correlation between seismic intensity parameters o HHT-based synthetic

seismic accelerograms and damage indices o buildings

Eleni Vrochidou, Petros Alvanitopoulos, Ioannis Andreadis, Anaxagoras Elenas

Improving current and voltage transormers accuracy using articial

neural network

Haidar Samet, Farshid Nasrard Jahromi, Arash Dehghani, Asaneh Narimani


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Modeling o syllogisms in analog hardware

Darko Kovacevic, Nikica Pribacic, Radovan Antonic, Asja Kovacevic, Mate Jovic

Workshop

MHDW 4

Chair: Ioannis Karydis

17:40-19:00

Data-driven user proling to support web adaptation through cognitive

styles and navigation behavior

Panagiotis Germanakos, E Papatheocharous, Marios Belk - George Samaras

From tags to trends: a rst glance at social media content dynamics

Evaggelos Spyrou, Phivos Mylonas

Mining and estimating users opinion strength in orum texts regarding

governmental decisions

George Stylios, Dimitrios Tsolis, Dimitrios Christodoulakis

Workshop

WADTMB 3

Chair: Christos Makris

17:40-19:00

Using an atlas-based approach in the analysis o gene expression maps

obtained by voxelation

E. Zacharaki, A. Skoura, L. An, D. Smith, V. Megalooikonomou

HINT-KB: the human interactome knowledge base

Konstantinos Theolatos, Christos Dimitrakopoulos, Dimitrios Kletogiannis,

Charalampos Moschopoulos, Stergios Papadimitriou, Spiros Likothanassis,

Seerina Mavroudi

DISCO: a new algorithm or detecting 3D protein structure similarityNantia Iakovidou, Eletherios Tiakas, Konstantinos Tsichlas

ncRNA-class web tool: non-coding RNA eature extraction and pre-miRNA

classication web tool

Dimitrios Kletogiannis, Konstantinos Theolatos, Stergios Papadimitriou,

Athanasios Tsakalidis, Spiros Likothanassis, Seerina Mavroudi

Gala Dinner 20:30


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Saturday 29/9/2012

Registration 08:30-09:00


Proessor David Robertson

Knowledge Engineering on a Social Scale

Chair: Danil Prokhorov

09:00-10:00

AIAI Session 8: CL-PR 1

Classifcation Pattern Recognition 1Chair: David Robertson

10:00-11:30

A Neural Network or spatial and temporal modeling o oF2 data based

on satellite measurements

Haris Haralambous, Harris Papadopoulos

Experiments with ace recognition using a novel approach based on CVQ

technique

Arman Mehrbakhsh, Alireza Khalilian

Novel matching methods or automatic ace recognition using SIFT

Ladislav Lenc, Pavel Krl

Detecting glycosylations in complex samples

Thorsten Johl, Manred Nimtz, Lothar Jnsch, Frank Klawonn

AIAI Session 9: EAAI&MAS

Engineering Applications o AI & Multiattribute SystemsChair: Jacek Kabzinski

10:00-11:40

A new approach to high impedance ault detection based on correlation

unctions

Haidar Samet, Najmeh Faridnia, Babak Doostanidezuli

Position and velocity predictions o the piston in a wet clutch system

during engagement by using a neural network modeling

Yu Zhong, Clara-Mihaela Ionescu, Abhishek Dutta, Bart Wyns, Gregory Pinte,Wim Symens, Julian Stoev, Robin De Keyser


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Network selection in a virtual network operator environment

Ioannis Chamodrakas, Drakoulis Martakos

Uniorm asymptotic stability and global asymptotic stability or time-

delay Hopeld neural networks

Aouiti Chaouki, Arbi Adnene, Touati Abderrahmane

COST Tutorial

Chair: Kostas Karatzas10:00-12:00

Session CT1:

Overview o COST Action TD1105 EuNetAir

Michele Penza

10:00-10:30

Session CT2:

New approaches in outdoor air quality monitoring: mobile sensing,

participatory sensing and sensor networks

Jan Theunis

10:30-11:00

Session CT3:

Applications o sensors or urban air quality monitoring

Christoph Hueglin

11:00-11:30

Session CT4:Standards or AQC sensors, creating a more healthy environment

Ingrid Bryntse

11:30-12:00


AIAI Session 10: MAS

Multi Agent SystemsChair: Dominic Palmer Brown

12:15-13:15

Exploring the esign space o a declarative ramework or automated

negotiation: initial considerations

Alex Muscar, Costin Badica

Hybrid and reinorcement multi agent technology or real time air

pollution monitoring

Antonios Papaleonidas, Lazaros Iliadis


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Rule-based behavior prediction o opponent agents using robocup 3D

soccer simulation league logles

Asma Sanam Larik, Sajjad Haider

AIAI Session 11: MA_DSS1

Multi Atrribute DSS 1

Chair: Spyros Sioutas

12:15-13:15

Assistant tools or teaching FOL to CF Conversion

Foteini Grivokostopoulou, Isidoros Perikos, Ioannis Hatzilygeroudis

Efective diagnostic eedback or online multiple-choice questions

Ruisheng Guo, Dominic Palmer-Brown, Fang Fang Cai, Sin Wee Lee

An ontology-based model or student representation in intelligent

tutoring systems or distance learning

Ioannis Panagiotopoulos, Aikaterini Kalou, Christos Pierrakeas, Achilles Kameas

Workshop

AIeIA

Chair: Achilles Kameas

12:15-13:15

Association rules mining rom the educational data o ESOG web-based

application

Steanos Ougiaroglou, Giorgos Paschalis

An ontological approach or domain knowledge modeling and

management in e-learning systems

Ioannis Panagiotopoulos, Aikaterini Kalou, Christos Pierrakeas, Achilles Kameas

Adaptation strategies: a comparison between e-learning and e-commerce

techniquesBill Vassiliadis, Antonia Steani

AIAI Session 12: CLU1

Clustering 1

Chair: Ioannis Hatzilygeroudis

13:15-14:15

A ast hybrid k-NN classier based on homogeneous clusters

Steanos Ougiaroglou, Georgios Evangelidis


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A spatially-constrained normalized gamma process or data clustering

Sotirios Chatzis, Dimitrios Korkino, Yiannis Demiris

GamRec: a clustering method using geometrical background knowledge

or GPR data preprocessing

Ruth Janning, Tomas Horvath, Andre Busche, Lars Schmidt-Thieme

AIAI Session 13: IVCP

Image-Video Classifcation & Processing

Chair: Ilias Maglogiannis

13:15-14:15

Image threshold selection exploiting empirical mode decomposition

Stelios Krinidis, Michail Krinidis

Scalable object encoding using multiplicative multilinear inter-camera

prediction in the context o ree view 3D video

Ioannis Stephanakis, George Anastassopoulos

Modelling crowdsourcing originated keywords within the athletics

domain

Zenonas Theodosiou, Nicolas Tsapatsoulis

Workshop

COPA 1


13:15-14:15

Application o conormal prediction in QSAR

Martin Eklund, Ul Norinder, Scott Boyer, Lars Carlsson

Reliable probability estimates based on Support Vector Machines or large

multiclass datasets

Antonis Lambrou, Harris Papadopoulos, Ilia Nouretdinov,Alexander Gammerman

Online detection o anomalous sub-trajectories - a sliding window

approach based on conormal anomaly detection and local outlier actor

Rikard Laxhammar, Goran Falkman

Introduction to conormal predictors based on uzzy logic classiers

A. Murari, J. Vega, D. Mazon, T. Courregelongue

LUNCH 14:15-15:20


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AIAI Session 14: CLU2

Clustering 2

Chair: Andreas Andreou

15:20-17:00

Enhancing clustering by exploiting complementary data modalities in themedical domain

Samah Fodeh, Ali Haddad, Cynthia Brandt, Matrin Schultz, Michael Krauthammer

Extraction o web image inormation: semantic or visual cues?

Georgia Tryou, Nicolas Tsapatsoulis

Trust-aware clustering collaborative ltering: identication o relevant

items

Cosimo Birtolo, Davide Ronca, Gianluca Aurilio

Unsupervised detection o Fibrosis in microscopy images using ractals

and uzzy c-means clustering

S.K. Tasoulis, Ilias Maglogiannis, V.P. Plagianakos

Workshop

COPA 2


15:20-17:00

Conormal prediction or indoor localisation with ngerprinting method

Khuong Nguyen, Zhiyuan Luo

Multiprobabilistic Venn predictors with Logistic Regression

Lia Nouretdinov, Dmitry Devetyarov, Brian Burord, Stephane Camuzeaux,

Aleksandra Gentry-Maharaj, Ali Tiss, Celia Smith, Zhiyuan Luo,

Alexey Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Watereld,

Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alex Gammerman

A conormal classifer or dissimilarity dataFrank-Michael Schleif, Xibin Zhu, Barbara Hammer

Identication o connement regimes in tokamak plasmas by conormal

prediction on a probabilistic maniold

Geert Verdoolaege, Jesus Vega, Andrea Murari, Guido Van Oost

Distance metric learning-based conormal predictor

Yang Fan, Chen Zhigang, Shao Guiang

Online Cluster Approximation via InequalityShriprakash Sinha


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Workshop

ISQL 1

Chair: Kostas Karatzas

15:20-17:00

Low power and bluetooth-based wireless sensor network orenvironmental sensing using smartphones

Siamak Aram, Amedeo Troiano, Francesco Rugiano, Eros Pasero

Making sense o sensor data using ontology: a discussion or residential

building monitoring

Markus Stocker, Mauno Ronkko, Mikko Kolehmainen

Personalized environmental service orchestration or quality lie

improvement

Leo Wanner, Steanos Vrochidis, Marco Rospocher, Jurgen Mossgraber,Harald Bosch, Ari Karppinen, Maria Myllynen, Sara Tonelli, Nadjet Bouayad-Agha,

Ulrich Bugel, Gerard Casamayor, Thomas Ert, Desiree Hilbring, Kostas Karatzas,

Ioannis Kompatsiaris, Tarja Koskentalo, Simon Mille, Anastasia Moumtzidou,

Emanuele Pianta, Horacio Saggion, Luciano Serani, Virpi Tarvainen

Agent-based modeling o an air quality monitoring and analysis system

or urban regions

Mihaela Oprea


Workshop

ISQL 2

Chair: Lazaros Iliadis

17:15-18:30

Extraction o environmental data rom on-line environmental inormation

sources

Steanos Vrochidis, Victor Epitropou, Anastasios Bassoukos, Sascha Voth,

Kostas Karatzas, Anastasia Moumtzidou, Jurgen Mossgraber,

Ioannis Kompatsiaris, Ari Karppinen, Jaakko Kukkonen

Investigation and orecasting o the common air quality index in

Thessaloniki, Greece

Ioannis Kyriakidis, Kostas Karatzas, George Papadourakis, Andrew Ware,

Jaakko Kukkonen

A microcontroller-based radiation monitoring and warning system

Vasile Buruiana, Mihaela Oprea


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General Conerence Inormation

Registration The conerence registration will take place each day

o the conerence (27th - 29th September) 8:30 am - 09:00 am.

Help and Support I you need help or additional inormation during the symposiumplease contact one o the 8th AIAI organizers.

Phone country code or Greece is ++30.

Electricity The voltage/requency in Greece is AC 230 volts / 50 Hz with a plug

o two round pins set parallel to each other (Type B). Non Greek

participants may need a plug adapter and/or a voltage converter

or electrical appliances.

Time Greece is located in the Eastern European Summer Time (EEST).During the conerence the summer Daylight Saving Time is in

eect: UTC +3 hours or GMT + 2 hours.

Inormation or Presenters Presentation time is (including time or questions):

Forfullpapers20minutes

Forshortpaper15minutes

ForWorkshopspapers15minutes

Please be considerate to the other speakers: keep to the allowed

time.

You can present using laptops located at each presentation room.

Earlier during the conerence, please go to the room in which you

will be presenting in order to copy your presentation les onto the

conerence laptop computer. Ask or help rom the technical stu

at each room. Test it to make sure it runs as expected.

Conerence venue Athena Pallas Village

This property has its own private beach in Elia, 5 miles away

rom Neos Marmaras. Athena Pallas eatures 2 restaurants, and a

swim-up bar and excellent spa acilities. Athena Pallass beauti-

ully urnished rooms and suites eature wooden beams and stone

eatures. All come complete with satellite TV, air conditioning

and minibar. Athena Pallas Villages spa center eatures massage

rooms, sauna, jacuzzi, hammam and indoor heating pool. Guests

can also choose rom 3 outdoor swimming pools to reresh in. The

main restaurant, Doxato, has a rich breakast and dinner buet.

Regional dishes are served at the Aegean Taste tavern with views

o the lovely pool area. There are also 3 snack bars near the pool.

Program AIAI 2012

Documents

Transcript of Program AIAI 2012