Approved Special Sessions

SS-01 Fuzzy Optimization and Decision Making: Theory, Algorithms, and Applications

Organizers:
Weldon A. Lodwick (University of Colorado, USA)
Yurilev Chalco-Cano (University of Tarapaca, Chile)

Short description:
This session is devoted to the area of fuzzy and possibilistic optimization and decision making. Talks with theoretical content, algorithms, state-of-the-art surveys, and applications in the area of fuzzy optimization and decision making including possibilistic optimization are welcome.


SS-02 Uncertainty Handling in Recommender and Decision Support Systems

Organizers:
Ivan Palomares Carrascosa (Queen’s University Belfast, UK)
Van-Nam Huynh (Japan Advanced Institute of Science of Technology, Japan)

Short description:

This special session aims at providing an opportunity for researchers and practitioners working jointly in the research areas of uncertainty management and decision recommender/decision support systems, to discuss the state-of-the-art methodologies and applications, to share their new ideas, original research results, experiences, and to foster collaborations and future joint research between participants.

More specifically, authors are expected to consider a contribution with the focus on theory and practical real-world instances of integrating existing uncertain information theories (fuzzy, linguistic, probabilistic, evidential, etc.), into recommender and decision support system models. Topics of interest for this special session include but are not limited to:

  • Applications of uncertainty formalisms (probability, Dempster-Shafer Theory, rough sets, fuzzy sets, imprecise probability) to recommender and decision support systems.
  • Uncertain information fusion and knowledge integration
  • Group and multi-criteria decision making under uncertainty
  • Linguistic Decision Making and Preference Modelling
  • Granular and soft computing
  • Personalization and recommender systems with uncertain information


SS-03 Human Symbiotic Systems

Organizers:
Tomohiro Yoshikawa (Nagoya University, Japan)
Yoichiro Maeda (Institute of Technologists, Japan)

Short description:

This special session aims at discussing the basic principles and methods of designing intelligent interaction with the bidirectional communication based on the effective collaboration and symbiosis between the human and the artifact, i.e. robots, agents, computer and so on.

The academic and industrial discussion about the research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI) concerning Symbiotic Systems are encouraged. Reflecting the fact that this society covers a wide range of topics,the related researchers from a variety of fields including intelligent robotics, human-machine interface, Kansei engineering and so on are invited to this session.

Topics of interest include, but are not limited to theory and application of:

  • Human-Agent Interaction (HAI)
  • Human-Robot Interaction (HRI)
  • Human-Computer Interaction (HCI)
  • Social Communication or Interaction
  • Partner or Communication Robots
  • Hospitality Robots
  • Human Interface Systems
  • Cooperative Intelligence
  • Kansei Engineering


SS-04 Fuzzy and Intelligent Systems

Organizers:
Shun-Feng Su (National Taiwan University of Science and Technology, Taiwan)
Chen-Chia Chuang (National Ilan University, Taiwan)

Short description:
This special session will try to collect papers that reflect current progress in the Fuzzy and Intelligent Systems. Thus, those papers can set a milestone for the Fuzzy and Intelligent Systems and also provide ideas for further exploration in this promising research area.


SS-05 Robotic and Embedded Systems

Organizers:
Shun-Feng Su (National Taiwan University of Science and Technology, Taiwan)
Chin-Wang Tao (National Ilan University, Taiwan)

Short description:
Recently, some of soft computing approaches on Robotic and Embedded Systems are proposed and implemented. Moreover, those approaches are successfully applied into Robotic and Embedded Systems. In this special session, we intend to collect papers that reflect current progress in the Robotic and Embedded Systems for intelligent systems. We hope those papers can set a milestone for the Robotic and Embedded Systems and also provide ideas for further exploration in Soft Computing and Intelligent Systems research and application area.


SS-06 Imprecise probabilities and non-additive measures

Organizers:
Enrique Miranda (University of Oviedo, Spain)
Ignacio Montes (University of Oviedo, Spain)

Short description:
This session concerns imprecise probability in the wide sense. It is used as a generic term for uncertainty models, both qualitative and quantitative, not using sharp numerical probabilities, such as comparative probabilities, n-monotone capacities, belief functions, possibilities, lower previsions, etc. Such models address inference problems where the relevant information is scarce, vague or conflicting, and decision problems where preferences may be incomplete. We would like to attract papers that discuss and solve foundational questions, or clearly demonstrate the usefulness of imprecise probabilistic models in a particular application.


SS-07 Applications of Soft Computing for Action/Behavior Understanding

Organizer:
Md. Atiqur Rahman Ahad (University of Dhaka, Bangladesh)

Short description:
Action, activity & behavior analysis, understanding, recognition, etc. are very crucial vision problems for diverse applications. A great number of works are proposed for various action understanding. For example, action/behavior recognition or understanding can have some applications in the field of healthcare and medical arena. Applications of soft computing approaches are explored to some extent. Hence, this special session concentrates on the developments of these arenas with the perspective on soft computing methods in the field of computer vision, HCI, robotics, etc. All accepted papers in this session will be invited for a Special Journal Issue in the International Journal of Computer Vision & Signal Processing and another journal (on-process).


SS-08 Fuzzy Implication Functions

Organizers:
Michal Baczynski (University of Silesia, Poland)
Sebastia Massanet (University of the Balearic Islands, Spain)

Short description:
Fuzzy Implication Functions are a generalization of the classical two-valued implication to the infinite-valued setting. They play an important role both in the theory and application, as can be seen from their use in, among others, Multi-Valued Logic, Approximate Reasoning, Fuzzy Control, Image Processing and Data Analysis. The goal of this special session is to bring together researchers interested in recent advances in the theory of fuzzy implications, concerning, among others, characterizations, representations, generalizations and their relationships with fuzzy negations, triangular norms, uninorms and other fuzzy logic connectives.


SS-09 Medical and Healthcare Engineering

Organizers:
Syoji Kobashi (University of Hyogo, Japan)
Manabu Nii (University of Hyogo, Japan)

Short description:
Medical and Healthcare Engineering is an emerging research area. Soft computing including fuzzy logic will play an important role of data analysis. This special session aims to provide an opportunity to share the state-of-art of methodologies and also applications.


SS-10 Aggregation functions: theory and practice

Organizers:
Humberto Bustince (Public University of Navarra, Spain)
Javier Montero (Complutense University of Madrid, Spain)

Short description:
Aggregation theory is a field in rapid progress. Apart from their obvious interest from a theoretical point of view, they are an essential tool for applications in many different fields, such as image processing, classification, machine learning or decision making among many other. For this reason, in recent years there is a growing interest in the topic, which are leading to the introduction of novel concepts and approaches.

This special session intends to provide a global view on the aggregation functions, both from a theoretical and an applied point of view. In particular, it will focus on recent theoretical developments in the fields of aggregation functions, and aims at bringing together leading researchers in the field in order to present their most recent developments and for discussing recent trends in this area, as well as to identify potential problems of interest for researchers.

It will also deal with applications where aggregation functions play a crucial role. These applications may include, but are not limited to, image processing, data mining, big data, classification and decision making. The considered applications may make use either of real aggregation functions or of more general aggregation functions, as those defined over lattices or extensions of fuzzy sets. We hope to provide a forum to discuss up-to-date applications in which the usefulness of recent developments in aggregation functions is clear.

Finally, it will consider generalizations of the notion of aggregation functions which have appeared in the literature in recent years and which lead to new classes of functions that encompass both classical aggregation functions and other functions which are relevant, specially from the point of view of the applications, but which do not fulfil all the conditions required to an aggregation, as that of monotonicity.


SS-11 Soft Computing Techniques for Machine Learning

Organizers:
Mikel Galar (Public University of Navarre, Spain)
Jose Antonio Sanz (Public University of Navarre, Spain)

Short description:
The aim of the session is to provide a forum to disseminate and discuss recent and significant research efforts on soft computing techniques based on fuzzy logic to deal with machine learning problems, in order to deal with the current challenges on this topic. The special session is therefore open to high quality submissions from researchers working in this research field. The topics of this special session include fuzzy models to deal with problems in areas including, but not limited to, the following ones:

  • Supervised / Unsupervised / Semi-supervised learning
  • Feature Selection / Extraction / Construction
  • Instance Selection / Generation
  • Data streams and concept drift
  • Big data mining
  • Imbalanced learning
  • Multi-label Multi-instance learning
  • Feature and label noise
  • Problems with low quality data and noise
  • Cost sensitive problems
  • Ensemble learning
  • Evolutionary fuzzy systems
  • One-class classification
  • Real-world applications


SS-12 Probability with Fuzziness and Statistical Applications

Organizers:
Pedro Teran (University of Oviedo, Spain)
Beatriz Sinova (University of Oviedo, Spain)

Short description:
Traditionally, the theoretical framework for Statistics has been that of probability theory based on crisp events and crisp data. This session is about the interplay of probabilistic and fuzzy notions to extend the scope of probability theory, and how this can enhance statistical theory, methodology, and practice. Five broad categories can be mentioned:

  1. Extensions of statistical methods to handle fuzzy data.
  2. Fuzzy concepts for analyzing crisp (and also fuzzy) data.
  3. Fuzzy random variables and other hybrid probabilistic-fuzzy uncertainty models.
  4. Fuzziness in probability theory.
  5. Interface topics (like copulas, statistical depth functions, functional data, large deviations).

Papers contributing to any of those threads are welcome. A non-exclusive list of potential topics:

  • Fuzzy clustering
  • Fuzzy random variables
  • Statistical estimation and inference from fuzzy data
  • Fuzzy techniques for descriptive statistics
  • Fuzziness in regression analysis
  • Possibility theory in Statistics
  • Statistical decision making under fuzziness
  • Statistical applications of copulas and t-norms
  • Functional data analysis and fuzzy sets
  • Fuzzy sets and spatial statistics
  • Statistical depth functions
  • Uncertainty propagation in hybrid modelsFuzzy partitions in Statistics
  • Fuzzy probability
  • Applications of these and other techniques in the same direction


SS-13 Image processing and computer vision using fuzzy techniques

Organizers:
Daniel Paternain (Public University of Navarre, Spain)
Aranzazu Jurio (Public University of Navarre, Spain)

Short description:
Fuzzy techniques (within soft computing techniques) are able to deal and handle imperfect information. This ability made them very useful for many applied areas, such as image processing or, more generally, computer vision, since imperfect information arises in almost every step of any computer vision application. This special session focuses on presenting original developments in this area, going from image processing to high level processing of computer vision or image understanding.

A non-exhaustive list of possible topics are:

  • Image enhancement, filtering, noise removal, restoration
  • Image transformation
  • Image compression and reduction
  • Image reconstruction
  • Segmentation, thresholding and edge detection
  • Feature extraction, pattern recognition
  • Mathematical morphology
  • Image similarity and image retrieval
  • Video processing and retrieval
  • Multidimensional data analysis and visualization
  • Multi-modal image analysis
  • Remote sensing
  • Medical image processing
  • Scene understanding


SS-14 Fuzziness and Semantic Web Technologies

Organizers:
Trevor Martin (University of Bristol, U.K.)
Marek Reformat (University of Alberta, Canada)

Short description:
The constant growth of the Internet and introduction of such concepts as the Semantic Web and Linked Data create challenges as well as opportunities to transform the web into an environment providing the users with the abilities to utilize and explore it in a different –human-like– and efficient way. The Internet is a huge collection of services, documents and different pieces of information – it is inherently heterogeneous, imprecise, uncertain, incomplete and even inconsistent. The users are not able to constantly search the web and analyze obtained data and information. There is a need for systems supporting the users in their web-related activities. Fuzzy Logic and Soft Computing provide important and non-trivial approaches, techniques and methods ensuring a human-like way of dealing with imprecision, fusing information from multiple sources, selecting best among multiple alternatives, or representing information and knowledge using fuzzy ontology and fuzzy markup languages. It is anticipated, that applications of fuzziness and soft computing technologies to web systems will bring a new and human friendly way of interacting with the web, where many tasks related to web activities and information processing can be performed by systems on human behalf. The special session will focus on the current research trends in the area of theory and practical aspects of intelligent systems equipped with fuzzy and other soft computing methods suitable for solving issues specific to web utilization, as well as to representation and processing of information

The topics of particular interest to the session include but are not limited to:

  • multi-criteria decision-making
  • approximate reasoning
  • case-based reasoning
  • fuzzy ontology and ontology-based systems
  • knowledge- and rule-based systems
  • hybrid intelligent systems
  • recommendation systems
  • context-aware systems
  • information retrieval and knowledge discovery
  • search engines


SS-15 Cognitive Human-Computer Interaction

Organizers:
Senaka Amarakeerthi (Sabaragamuwa University of Sri Lanka, Sri Lanka)
Chinthaka Premachandra (Shibaura Institute of Technology, Japan)

Short description:
The Human-Computer Interaction (HCI) mostly involves the study of the interaction between the user and the computer. In Cognitive Human Computer Interaction, researches are conducted on how Human-Computer Interaction combines with behavioral sciences and results in interaction at the user interface which includes both software and hardware. Research areas include: Brain Signal-Based Emotion recognition, Brain Signal-based Medical Applications, Neuromarketing, Brain Signal-based Human Cognition Enhancement, Brain Signal-based E-learning, Brain Signal-Based Haptic Interfaces, Brain Signal-based Games.


SS-16 Fuzzy Robotic Systems

Organizers:
Ching-Chih Tsai (National Chung Hsing University, Taiwan)
Kao-Shing Hwang (National Sun-Yat Sen University, Taiwan)

Short description:
Fuzzy robotics is one important branch of fuzzy systems and logics, aiming at developing new theory, the state of art, latest engineering techniques, and innovative designs of all kinds of robotics using fuzzy theory and logics. In this special session, we are soliciting novel research results on fuzzy robotics and related topics. Hopefully, those papers not only reflect current progress in the Fuzzy robotics and its related research topics, but also set a milestone for the Fuzzy Robotics and also provide brand-new ideas for further exploration in this promising research area. At present, there are at least five excellent papers to be submitted to this special session.


SS-17 Intelligent Robotics and Application for Healthcare

Organizers:
Loo Chu Kiong (University of Malaya, Malaysia)
Takenori Obo (Tokyo Metropolitan University, Japan)

Short description:
The session focuses on intelligent robotics and application in field of healthcare. Recently, various types of robots and ICT applications have been developed to realize elderly care, daily life assistance, health promotion and rehabilitation support. Such systems are defined as intelligent and human friendly system applied in environments coexisting with human. Computational intelligence including neural computing, fuzzy computing, and evolutionary computing can be applied to the assistance and service to people in the intelligent systems. In this session, we will discuss the state-of-the-art of methodology for the intelligent systems in terms of various applications for healthcare.


SS-18 Bio-Inspired Computing Paradigms in Security and Privacy for Smart City (SS-CSS)

Organizers:
B. B. Gupta (National Institute of Technology Kurukshetra, India)
Shingo Yamaguchi (Yamaguchi University, Japan)

Short description:
The rapid advances in presence of information technologies, such as cloud computing, sensors, Internet of Things (IoT), have played a significant role in smart city context. Smart city contributes to enhance the life services and process large amount of data stream, which in turn raise the security and privacy concerns. However, handling security and privacy challenges are essential for a smart city that leads to the organizations to realize the new computing paradigms.

Recently, we have been witnessing the numerous literatures of security and privacy that includes end-to-end security, trustable data acquisition, transmission, processing, legitimate service provisioning, and privacy of personal data as well as the role of bio-inspired computing approaches in achieving system design and operations. Furthermore, the use of bio-inspired computing techniques (evolutionary computation, particle swarm optimization, ant colony optimization, etc.) for intelligent decision support has been exploited to originate effectual computing systems. In this special session, we expect the original contributions focused on addressing the latest research, innovative ideas, challenges, and bio-inspired computing solutions in security and privacy aspects in the context of smart city. Proposed submissions should be original, unpublished, and present novel in-depth fundamental research contributions from a methodological/application perspective in accomplishing sustainable life style for society.

This special session is open to submit novel and high quality research contributions in the field of information security and privacy. We anticipate that this special session will open new entrance for further research and technology improvements in this important area.

The scope of this Special session encompasses, but is not restricted to, the following topics:

  • Bio-inspired software and hardware systems for smart city
  • Security, robustness and resilience for smart city
  • Anomaly (spam, virus, intrusion, etc.) detection
  • Crime detection based on multimodal analysis
  • Event detection and tracking
  • Information fusion for security
  • Intelligent e-Security based on multimodal analysis
  • Adaptation algorithms for smart city security & networking
  • Biometrics related to smart city security & networking
  • Bio-inspired security and networking algorithms & technologies
  • Bio-mimetic related to cyber security & networking
  • Bio-inspired cyber threat intelligence methods and systems for smart city
  • Prediction techniques for smart city security & networking
  • Information hiding solutions (steganography, watermarking) and detection for network traffic
  • Cooperative defence systems and Bio-inspired algorithms for dependable networks


SS-19 Human Centered Transportation Systems

Organizers:
Koji Murai (Kobe University, Japan)
Tadatsugi Okazaki (Tokyo University of Marine Science and Tehnology, Japan)

Short description:
The aim of this special session is to bring together specialists from the all areas of Human- Transportation systems, especially ship, and to promote interdisciplinary study on human factor in the transportation system. The special session discusses to improve compatibility in Human and User Interface (UI) of navigation systems, and to provide effective educational training system for their operators.


SS-20 Recent Trends of Clustering Methodologies

Organizer:
Yuchi Kanzawa (Shibaura Institute of Technology, Japan)

Short description:
Clustering is one of the most strong and important tools in many fields such as data mining, machine learning, and pattern recognition. These days, big data such as social data have attracted interest of many researchers because the data have many significant and useful knowledge implicitly. For finding such knowledge from the data, many clustering algorithms have been proposed with new methodologies such as noise rejection, possibilistic approach, rough sets theory, co-clustering, asymmetric proximity measure, and cluster validity, and developed into various applications including text mining, community detection, collaborative filtering and so on. In this special session, leading-edge works of clustering and its fusion of other methodologies will be described and discussed.


SS-21 Uncertain dynamic state estimation

Organizers:
Kazushi Okamoto (The University of Electro-Communications, Japan)
Norikazu Ikoma (Nippon Institute of Technology, Japan)

Short description:
This session widely discusses about dynamic state estimation and uncertain measure topics, and we aim to emergence of advanced autonomous intelligent systems. In the discussion, we try to fusion of state-space model, well known as optimum filter problem, theories and methodologies of state estimation, and fuzzy systems based on fuzzy sets and uncertain measures.


SS-22 Application to Business

Organizers:
Yukio Kodono (Kindai University, Japan)
Yoshiyuki Yabuuchi (Shimonoseki City University, Japan)

Short description:
With respect to application of soft computing, and its usefulness in many research results have been reported. However, with regard to field- based business, do not have too much penetration. In addition, the field of business systems, fuzzy and uncertain data that the data exists and is being processed them appropriately has been desired. Therefore, in this session will be announced about the application of soft computing system for the field of business.


SS-23 Various Techniques, Theories and Tools in Social Simulations

Organizers:
Takeshi Uchitane (Kobe University, Japan)
Tadahiko Murata (Kansai University, Japan)

Short description:
Recently social simulation is attracting much attention from various research fields such as economics, politics, sociology, engineers. In this session, organizers try to collect papers that relate with social simulations. Papers that try to include human behaviors or try to develop some techniques in social simulations are highly welcome to this session. Through fine discussions in this special session, let us deepen our understanding in social simulation and progress the frontier.


SS-24 Fuzzy Markup Language: Principles and Applications

Organizers:
Giovanni Acampora (University of Naples Federico II, Italy)
Chang-Shing Lee (National University of Tainan (NUTN), Taiwan)

Short description:
It has been pointed out in multiple publications that classical ontology is not sufficient to deal with imprecise and vague knowledge for some real world applications like personal diabetic diet recommendation. At the same time, fuzzy ontology is able to effectively handle and process uncertain data and knowledge. Recently, research on ontology becomes a critical component in such areas as knowledge management, Semantic Web, business-to-business, just to name a few. Ontology is a suitable form of representing complex knowledge. It enables sharing and reusing knowledge among multiple distributed and heterogeneous environments. The concept of ontology has been widely embraced by the fuzzy research community and it plays an important role in the development of distributed systems and strategies suitable for enterprise collaboration. In this context, the Fuzzy Markup Language (FML) is one of the most important contributions to development of systems equipped with fuzzy ontologies and fuzzy rule-based structures. In February of 2016, the IEEE 1855 standard for Fuzzy Markup Language has been approved as the first IEEE standard sponsored by IEEE Computational Intelligence Society. FML allows to build highly abstract specifications of detailed designs of fuzzy systems in a human-readable and hardware-independent way. The objective of this special session is to demonstrate and promote research activities related to application of FML-based approaches and techniques for constructing ontologies and development to fuzzy rule-based systems. as well as their applications in multiple domains.

The topics of particular interest to the session include but are not limited to:

  • Ontology and Ontological Agents
  • FML Agents for Software Engineering
  • FML Agents for Knowledge Discovery
  • FML Agents in a Neuro-Fuzzy Approach
  • Environment-aware Agents
  • Agents for Intelligent Manufacturing Systems
  • Intelligent Agent Applications
  • Knowledge Representation with Ontology
  • FML in Evolvable Hardware
  • Knowledge-Based Systems
  • Semantic Interoperability
  • Semantic Web Agents
  • Healthcare Ontological Agents
  • Agents for Knowledge Management
  • Embedded Agents
  • FML Agents for E-Commerce
  • FML Agents for Smart Environments
  • FML Agents for Ambient Intelligence
  • Knowledge Sharing with FML Agents
  • Distributed Mining with FML Agents
  • Web Services Applications based on FML
  • FML Applications


SS-25 Intelligent Systems and Applications

Organizer:
Jung Sik JEONG (Mokpo National Maritime University, Korea)

Short description:
Various intelligent systems for industrial applications will be discussed in this session. The main topics of this session are about a control of drone, recognition of color image, implementation of maritime IoT sensor, and smart factory.


SS-26 Theoretical Applications of Fuzzy Logic

Organizer:
Byung-Jae Choi (Daegu University, Korea)

Short description:
In this session, we will discuss theoretical applications of fuzzy logic such as context-aware service framework, F-transformation, chaotic behavior, and mathematical modelling.


SS-27 F-transforms: bridging theory and applications

Organizers:
Irina Perfilieva (University of Ostrava, Czech Republic)
Vilem Novak (University of Ostrava, Czech Republic)

Short description:
The aim of this special session is to present recent developments and trends in various softcomputing theories and applications of the F-transform, including all mentioned above. Beside theoretical aspects, the session will be focused on advanced applications in data analysis including handling big data. We invite contributions that extend traditional ways of data analysis and propose adequate methods for various kinds of data processing including, but not limited to the following topics:

  • Theoretical aspects of the F-transform and its higher degree versions,
  • Fuzzy approximation spaces (functional, topological, etc.) as a background of the Ftransform,
  • Inverse F-transform and how to improve its approximation quality,
  • Numerical methods on the basis of F-transform,
  • Big data processing on the basis of the F-transform,
  • Time series analysis and forecasting including:
    • time series trend extraction, local trend estimation and their models,
    • fuzzy time series, granular time series and their models,
    • forecasting methods: regression, fuzzy regression, fuzzy/linguistic IF-THEN rules.


SS-28 Fuzziness in Massive Data

Organizer:
Luigi Troiano (University of Sannio, Italy)

Short description:
The emergence of Data Science is radically changing the way products and services are conceived, made, delivered and operated. Thus, the data gathering became fast-paced, leading to high volumes of data to be collected and analyzed. Fuzziness is called to play a relevant role in order to make the analysis of massive data feasible, effective and meaningful. This special session aims at sharing and discussing problems and applications where fuzzy techniques are employed to build models on massive data in industrial and manufacturing applications, employing different approaches (e.g., Granular Computing, Approximate Reasoning, Fuzzy, Rough and other Imprecise Sets, Fuzzy Statistics, etc.) to face different processing problems (e.g., Hashing, Hashing, Summarization, Indexing, Retrieval, Correlation and causation, Textual description) and applications in multiple domains (e.g., Image Processing, Finance, Text Mining, Network Analysis, Social Media, etc.)


SS-29 Recent Advances in Intelligent Pattern Classification

Organizers:
Gerald Schaefer (Loughborough University, U.K.)
Tomoharu Nakashima (Osaka Prefecture University, Japan)

Short description:
Many real world problems require a decision making process that can be formulated as a pattern classification step. Consequently, well performing classification algorithms are in high demand, while it is well known that no single method will work best for all possible scenarios.

For this special session, we invite submissions presenting novel approaches of pattern classification based on computational intelligence techniques. Topics of interest include but are not restricted to:

  • intelligent pattern classification methods and methodologies
  • ensemble classification
  • classifier construction, training, selection and fusion
  • hybrid approaches
  • imbalanced classification
  • approaches addressing concept drift
  • applications of intelligent pattern classification


SS-30 Fuzzy Processing of Very Large Speech Language Databases

Organizers:
Paul De Palma (Gonzaga University, USA)
Mark VanDam (Washington State University, USA)

Short description:
This session will look at automatic processing of naturalistic speech in very large databases (VLDB). Recent attempts such as the HomeBank project (http://homebank.talkbank.org) exist in part to make publicly available a very large database of naturally collected, acoustic speech and language samples from a wide variety of real-life language use environments. The data constitute many tens-of- thousands of hours of acoustic recordings, results of automated processing includ- ing automatic speech and talker recognition and diarization, and associated meta-data such as language characteristics, demographics of participants, socio-economic status, and many other variables. The data has been used to explore typical and disordered (e.g., deafness, autism) language development, improvements to and assessment of automatic processing approaches, database management techniques, and hardware technology, among others. The papers in this session will explore a number of empirical and theoretical issues in this domain.

SS-31 Stochastic Optimization for Complex Adaptive Systems

Organizers:
Hiroshi Sato (National Defense Academy, Japan)
Naoki Mori (Osaka Prefecture University, Japan)

Short description:
Stochastic Optimization has firmly established its place as a useful tool for tackling massive and complex problem. On the other hand, there are a lot of problems waiting to be solved in Complex Adaptive Systems. This special session intends to discuss the recent development of Stochastic Optimization and various efforts to apply these methods to analyze and control Complex Adaptive Systems.

Topics of interest include but are not limited to:

  • Evolutionary Computation
  • Neural Network
  • Fuzzy System
  • Soft Computing
  • Multi-agent System
  • Agent-based Simulation
  • Complex Network
  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence/Life/Market
  • Resilient System
  • Socio Physics
SS-32 Brain Engineering for Soft Behavior

Organizers:
Isao Hayashi (Kansai University, Japan)
Suguru N. Kudoh (Kwansei Gakuin University, Japan)

Short description:
We cannot discuss brain functions if they separated from body functions. For example, in the research field on embodied knowledge that analyzes the physical motion, it is necessary to acquire the knowledge from neural networks, fuzzy systems, and topological models, and to find a reciprocal relationship between brain functions and behavior, in order to analyze motion such as sports movement, dance, music performance, and ceramic art production. On the other hand, in the study of the modeling of brain functions, the mechanism of physiology and bodies characteristics such as vision motion, auditory motion, and physical motion is incorporated into the model of neural networks and hierarchical knowledge structure.

It is necessary to discuss brain engineering and soft behavior in one connected domain, when the relationship between the brain function and the body function is assumed to be a model like a signal processing structure by six-layers and protocol processing in the computer network. The main aim of this session is to introduce a new computing approach on brain and behavior. The topological models on brain functions control body and behavior. We notice that soft computing model should be an important model to analyze human behavior through brain and body. We call thus a research area ”Brain Engineering for Soft Behavior.”

This session treats various models to identify Brain Engineering for Soft Behavior, e.g., brain science, brain psychology, cognitive psychology, vision, learning system, reinforcement learning, motion behavior, motion analysis, and brain computer interface, relating soft computing as like fuzzy models and neural networks. These issues are germane to a wide modeling of biologically inspired models, not just to engineered learning systems and body analysis.

Call for Special Session Proposals

Download PDF

A special session consists of a group at least four papers with common theme. Special session proposal should include the following information about the special session: the title, a short description of the session, together with a short biography of the organizers (at most two). Organizers will collaborate to arrange reviewers and recommend the Program Chair acceptance/rejection of all submitted papers for the proposed special sessions. Please submit your proposals of special sessions before of November 12, 2016 (Extended) to Yasuo Kudo (kudo@csse.muroran-it.ac.jp) or Susana Montes (montes@uniovi.es).

Instructions for Special Session Proposals

Proposals for Special Sessions aiming at the topics of interest of IFSA 2017 World Congress are welcome. The deadline for special session proposals is November 12, 2016 (Extended).

Submission of proposals should include the title, a short description of the session, its relevance to the IFSA Congress, together with a short biography of all organizers.

Some specific rules to be applied to special sessions are:

  • Each special session should have at most two organizers.

  • Each special session should have at least four papers. Those having fewer than four accepted papers will potentially be cancelled, with accepted papers moved to either regular sessions, or, if appropriate, to related special sessions.

  • International collaborations with the same topics from different countries are welcomed. Thus, the special session has to have papers from at least two different institutions.

  • The organizers of each accepted Special Session have to submit a short editorial by the camera-ready submission due. The short editorial should include the brief introduction and contributions of the session and the overview of accepted papers in the session. The length of this short editorial is 1 page in the format of the conference. This paper will be included in the proceedings of the congress. The first minutes of the Special Session will be devoted to a presentation given by the Organizers, where they explain this editorial for the audience.

Proposals should be sent:

  • Yasuo Kudo: kudo@csse.muroran-it.ac.jp
  • Susana Montes: montes@uniovi.es

Evaluation of Special Session Proposals

Special session proposals will be evaluated based on the timeliness, uniqueness of the topic, relation with the congress and qualifications of the proposers. The proposers are expected to have a PhD degree and have a good publication track record in the proposed area. After review, a decision on whether the proposal will be accepted will be sent to the proposers. However, it is possible that an accepted proposal will be combined with another one to avoid multiple special sessions covering a similar topic. Accepted special sessions will be listed on this website. A final decision will be made for November 15, 2016.

Submission of Papers for Special Sessions

Manuscripts intended for special sessions should be submitted through the general paper submission website as regular submissions. It is the responsibility of the special session organizers to make sure that papers submitted to their special session clearly indicate the name of the special session the paper is intended for. All papers submitted to special sessions will be subject to the same peer-review procedure as the regular papers. Organizers will collaborate to arrange reviewers and recommend the Program Chair acceptance/rejection of all submitted papers for the proposed special sessions.