ICAISC 2014 Special Sessions and Workshops


Title Organizer
Special Session 1: Advanced Type-2 Fuzzy Logic Methods and Technologies

Janusz T. Starczewski
Częstochowa University of Technology, Poland
e-mail: janusz.starczewski@iisi.pcz.pl

Special Session 2: Machine Learning for Visual Information Analysis and Security

Rafal Scherer
Częstochowa University of Technology, Poland
e-mail: rafal.scherer@iisi.pcz.pl

Slava Voloshynovskiy
University of Geneva, Switzerland

Special Session 3: Applications and Properties of Fuzzy Reasoning and Calculus

Witold KOSIÑSKI, Professor and Chair of Intelligent Systems,
the Polish-Japanese Institute of Information Technology, Poland
e-mail: wkos@pjwstk.edu.pl

Special Session 4: Computer-Assisted Techniques in Clinical and Academic Medicine

Jerzy W. Rozenblit (The University of Arizona, Tucson)
Ryszard Klempous (Wroclaw University of Technology)

Special Session 5: Statistical methods in decision making

Ansgar Steland, RWTH Aachen, Germany
Ewaryst Rafajłowicz, Wrocław University of Technology, Poland

Special Session 6: Intelligent Methods in Databases

Rafal A. Angryk, Georgia State University, USA
Marcin Gabryel, Częstochowa University of Technology, Poland
Marcin Korytkowski, Częstochowa University of Technology, Poland



ICAISC 2014 Special Sessions Descriptions


Advanced Type-2 Fuzzy Logic Methods and Technologies


Janusz T. Starczewski

Fuzzy Logic Systems (FLSs) are known to form adequate methodology for designing systems that are able to deliver satisfactory decisions immune to uncertainty and imprecision. There are many sources of uncertainty in FLSs some of which can translate into uncertainties about membership functions of fuzzy sets. Consequently, fuzzy sets of type-2 have the capacity to model the membership imprecision. The use of type-2 fuzzy sets in logic systems should follow from limited perception or lack of knowledge about the actual membership function. However, there are several related concepts for handling membership uncertainty. For example, lack of attributes is usually solved by rough approximations of fuzzy sets. The opposed concept relies on the use of possibility and necessity measures of fuzzy events. Both of them can be modeled by interval type-2 FLSs. Besides, fuzzification of attributes can be handled with fuzzy-rough approximation of fuzzy sets, and some solutions may lead to construction of general (not-interval) type-2 fuzzy sets.

To date, mostly interval type-2 fuzzy sets have been used to construct many concrete working designs of fuzzy logic systems. Unfortunately, most of such realizations are burdened with the same level of uncertainty regarding membership functions, which makes their performance not satisfactory improved beyond that of the classical fuzzy logic systems. However, membership uncertainty taken into account for some particular system parameters, for which we have only limited perception, undoubtedly, brings more reliable responses of type-2 (and other fuzzy-valued) fuzzy systems. At present, there is lack of efficient applications of general type-2 fuzzy sets, since the applicability of general type-2 FLSs due to their computational complexity still raises a lot of skepticism.

The aim of this special session is to provide a forum for the academic community and industry to discuss the recent advances on the type-2 fuzzy logic application in the various domains. These include, but are not limited to, using type-2 fuzzy systems (as well as other formulations of uncertain fuzzy logic systems) in control, pattern recognition, signal processing, finance, industry, healthcare etc.

All accepted papers will be published in the Springer Lecture Notes in Artificial Intelligence Series. Submission of papers, in accordance with Springer guidelines, is the same as for the ICAISC'2014. The deadline is: November 20, 2013.

Session Organizer:
Janusz T. Starczewski
Institute of Computational Intelligence
Częstochowa Univ. of Technology
Al. Armii Krajowej 36
42-200 Częstochowa, Poland
Email: janusz.starczewski@iisi.pcz.pl

Session Program Committee:
Humberto Bustince
Public University of Navarra, Spain

Oscar Castillo
Tijuana Institute of Technology, Mexico

Hani Hagras
University of Essex, United Kingdom

Francisco Herrera
University of Granada, Spain

Jonathan Garibaldi
University of Nottingham, United Kingdom

Janusz Kacprzyk
Polish Academy of Sciences, Poland

Luís Alberto Lucas
Universidade Tecnológica Federal do Paraná, Brasil

Beniamino Murgante
University of Basilicata, Italy

Adam Niewiadomski
University of Lódź, Poland

Janusz T. Starczewski
Częstochowa University of Technology, Poland

Hooman Tahayori
Ryerson University, Canada

I. Burhan Türkşen
University of Toronto, Canada

Christian Wagner
University of Nottingham, United Kingdom

Tan Woei Wan
National University of Singapore, Singapore

Call for Papers for a Special Session on Advanced Type-2 Fuzzy Logic Methods and Technologies


Machine Learning for Visual Information Analysis and Security


Rafal Scherer, Slava Voloshynovskiy

Theoretical and practical aspects of machine learning algorithms and systems involving applications in multimedia, medicine, biology, security, virtual environments and robotics.

Organized in conjunction with 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014) Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

Machines that can see and understand what they see are the ultimate goal of Visual Information Analysis and content-based image retrieval. As the development progresses, it transpires that there are areas such searching large multimedia databases where computers excel humans. Creating efficient and reliable vision systems will change many aspects of life, manufacturing, robotics or healthcare. Having in mind the above goals, the aim of the workshop is to present and discuss recent advances and innovative applications of machine learning for visual information processing. A special focus of workshop is the large-scale systems in multimedia, medicine, biology, genetics, security, virtual environments and robotics. The workshop encourages presenting new theoretical frameworks and practical systems.

Topics of particular interest to MLVIAS include, but are not limited to:
· Feature design and codebook learning systems
· Deep learning neural networks
· Sparse invariant representations
· Bag of features systems
· Soft computing systems for computer vision
· Theoretical analysis of performance.
· Image and video analysis and retrieval
· Visual tracking
· Visual data mining
· Augmented reality
· Computational photography

Accepted papers will be published in the Springer Lecture Notes in Artificial Intelligence Series. Submission of papers is the same as for the ICAISC 2014.

Special Session organizers
Rafal Scherer
Częstochowa University of Technology, Poland
rafal.scherer@iisi.pcz.pl

Slava Voloshynovskiy
University of Geneva, Switzerland


Applications and Properties of Fuzzy Reasoning and Calculus


Witold KOSIŃSKI

Special Session organized within 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014), Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

Since several decades fuzzy reasoning has shown its applicability in decision making and optimization. On the other hand the development of mathematical aspects of the fuzzy set theory has been mostly directed to convex fuzzy numbers and its particular case - the L-R numbers. However, the fuzzy reasoning and calculus based on the classical concepts is diminishing its role with each year because of the some disadvantages, e.g. multiple operations on convex fuzzy numbers are leading to a large growth of the fuzziness, and depend on the order of the operations due to the lack of the distributive law. Hence new approaches could be required as well as new research area. Hence the Gradual Element in fuzzy theory has recently appeared additional to Ordered Fuzzy Numbers.

The aim of this Special Session is bringing together researchers in fuzzy reasoning and calculus, and their applications, as well as to provide directions for further research in these fields. The philosophy of the special session should be to keep a chance for informal critical discussion.

Topis of interest:

1. Fuzzy reasoning and its properties, including symbolic reasoning
2. Fuzzy inference systems and controllers
3. Learning in fuzzy systems
4. Aggregation and other operations, and their properties
5. Applications of fuzzy reasoning and calculus in the social life, medicine, finance and manufacturing


Contact information for the session chair:

Witold KOSIŃSKI, Professor and Chair of Intelligent Systems,
the Polish-Japanese Institute of Information Technology, Koszykowa Str. 86, PL-02-008 Warszawa, Poland
e-mail: wkos@pjwstk.edu.pl


All accepted papers will be published in the Springer Lecture Notes in Artificial Intelligence Series. Submission of papers, in accordance with Springer guidelines, is the same as for the ICAISC'2014. The deadline is: December 8, 2013.


Computer-Assisted Techniques in Clinical and Academic Medicine


Jerzy W. Rozenblit (The University of Arizona, Tucson)
Ryszard Klempous (Wroclaw University of Technology)


Special Session organized within 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014), Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

This special session will focus on how we leverage from high technology - specifically, advanced modeling, simulation, visualization, and virtualization methods - to support medical training, research, and actual medical procedures. The topics will range from minimally invasive procedures (such as laparoscopic surgery), through medical imaging, telemedicine, medical robotics, and e-health. The key theme of the workshop will be the effectiveness of low and high-end technologies and the work needed to further improve their impact on medical training and practice.


Statistical methods in decision making


Ansgar Steland (RWTH Aachen, Germany)
Ewaryst Rafajłowicz, Wrocław University of Technology, Poland)


Special Session organized within 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014), Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

The aim of the session is to provide a wide range of statistical methods applicable in decision making. The topics include pattern recognition, change detection with applications and related areas.


Intelligent Methods in Databases


Rafal A. Angryk, Georgia State University, USA
Marcin Gabryel, Częstochowa University of Technology, Poland
Marcin Korytkowski, Częstochowa University of Technology, Poland


Special Session organized within 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014), Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

Nowadays data stored in databases contain not only simple information such as short words (e.g. names), or real values (e.g. age). Today users need time- and memory-efficient mechanisms for storing, searching and analyzing complex data, such as images, movies, hypertext documents, graphs, and spatiotemporal data. By using machine learning techniques we hope to be able to dramatically improve ways in which data from massive database systems is processed, stored, retrieved and analyzed. There is a strong demand for fast and smart ways to reveal hidden relationships among stored data records, and data summarization techniques that help human beings interpret massive amounts of data based on machine learning methods. The workshop will cover theoretical and practical aspects of storing, indexing, fast searching and analyzing of multimedia information in massive database systems. It also covers areas related to big data, data stream analysis and database system optimization. In particular the workshop will cover:

  • Multimedia data analysis and retrieval
  • Data mining
  • Database systems optimization
  • Big Data
  • Warehouses and Online Analytical Processing
  • Spatio-temporal data analysis