Conference

Call for papers - submission guidelines

Download latest ASCII version (filesize: 12kB)
Download the latest PDF version from 29.03.2005 (filesize: 240 kB)

We invite you to submit a:

• full paper of 6 pages (Letter or A4 format) for oral presentation
• proposal to organize a technical session and/or workshop (see the Call for Events for more information).

ISDA'05 invites authors to submit their original and unpublished work that demonstrate current research in all areas of intelligent systems and their applications in science, technology, business and commercial. Submitted papers have to be original, containing new and interesting results.

Templates for papers and additional information is available here.

Submission implies the willingness of at least one of the authors to register and present the paper. All full papers are to be submitted in PDF electronically via the web site. All papers will be peer reviewed by at least three independent referees of the international program committee of ISDA'05.

Submission procedure is supported by Conference Management Tool (CMT). To submit a paper first register on the submission Web site (https://msrcmt.research.microsoft.com/ISDA2005). Please, write the short name of an event you want to participate, e.g. ISDA, FDM, ICT, RAAWS, etc. in the abstract field. Notice, that not all file formats are accepted by the system - there are no problems with compressed files (e.g. zip).

Correspondence concerning submission process and participation in the conference or in one of the workshops should be sent to workshop organizers.

The proceedings of the Conference will be published by IEEE Computer Society Press.
Top 10% application papers will be invited for a fast track review in the Elsevier Science Applied Soft Computing Journal

Topics of interest include but are not limited to:

Intelligent Systems Architectures and Applications

• Artificial Neural Networks
• Mathematical foundations of neural networks
• Architectures and algorithms
• Learning theory (supervised/ unsupervised/ reinforcement learning)
• Knowledge based networks
• Implementation issues of neural networks
• Support Vector Machines
• Neural network applications
• Fuzzy Systems, fuzzy logic and possibility theory
• Fuzzy expert systems
• Fuzzy system design using evolutionary algorithms
• Fuzzy system modeling and simulation
• Fuzzy systems and applications
• Evolutionary Algorithms
• Genetic algorithms, evolution strategies, genetic programming and evolutionary programming
• Learning Classifiers
• Hybrid evolutionary algorithms
• Evolutionary algorithms and applications
• Fusion of neural network- fuzzy systems
• Fusion of fuzzy systems- evolutionary algorithms
• Fusion of neural network - evolutionary algorithms
• Fusion of neural network- fuzzy systems- evolutionary algorithms
• Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)
• Bayesian networks and probabilistic reasoning
• Rough sets
• Statistical learning techniques
• Fusion of statistical methods and soft computing techniques
• CAD systems
• Intelligent optimization techniques

Intelligent Image and Signal Processing

• Design and implementation of intelligent signal processing systems
• Image, vedio and multidimensional signal processing
• Multimedia signal processing
• Speech processing
• Features and classification
• Texture analysis
• Document analysis
• Stereoscopic vision
• Shape processing
• Object recognition
• Image and video retrieval
• Image and video compression

Intelligent Internet Modeling

• Web intelligence
• Search engines
• Information retrieval (web mining)
• Database querying
• Ontology
• XML mining
• Intelligent networking between Web Sites
• Network security, intrusion detection
• Information aggregation and fusion
• Interaction with intelligent agents
• Intelligent agents and interfaces for personalization and adaptivity
• Intelligent tutoring systems on the WWW
• Adaptive hypermedia systems
• Agents for digital cities, virtual communities and agent societies

Intelligent Data mining

• Discovering patterns in continuous data
• Uncertainty management for data mining
• Clustering algorithms and applications
• Classification trees
• Mining time series
• Mining in a Mobile Environment
• Statistical Considerations in Learning
• XML Mining
• Text Mining
• Distributed Data Mining

Intelligent Business Systems

• e-learning, e-commerce, e-business, e-finance
• Risk management
• Derivatives pricing
• Portfolio management and asset allocation
• Stock market, forex market analysis, dynamics; simulation
• Hedging, trading & arbitrage strategies
• Financial modeling
• Computational economics
• Intelligent management
• Multicriteria decision making

Intelligent Control and Automation

• Mathematical modeling and analysis of complex systems
• Soft computing/computational intelligence in control systems
• Knowledge based control systems
• Adaptive control systems
• Control applications in robotics, manufacturing, process control, industrial systems, automotive, vehicular systems, spacecraft and so on

Intelligent Agents

• Adaptation and learning
• Agent architectures and communication languages
• Communication, collaboration, and interaction of humans and agents
• Conversational agents
• Coordinating multiple agents
• Designing agent systems - methodologies & software engineering
• Evolution of agents
• Knowledge acquisition and management
• models of emotion, motivation, or personality
• multi-agent communication, coordination, and collaboration

Intelligent Knowledge Management

• Application of knowledge representation techniques to semantic modeling
• Development and management of heterogeneous knowledge bases
• Automatic acquisition of data and knowledge bases (especially raw text)
• Performance evaluation
• Parallel database systems
• Data and knowledge sharing
• Cooperation in heterogeneous systems
• Domain modeling and ontology-building
• Concurrent engineering and computer integrated manufacturing
• Digital Libraries
• Multimedia Databases.