CIMA'2001

• Keynote Lectures
  • Recursive Training of Neural Networks for Pattern Recognition
    Aladjem, M.
  • Applying the Hidden Markov Model Methodology for Unsupervised Learning of Temporal Data
    Biswas, G.
  • Cultural and Historical Perspectives on the Prospects for the Development of Computational Intelligence the Arab World
    Nader, J.
  • Latent Semantic Pursuit
    Posse, C.
  • Advances in Applied Statistical Pattern Recognition: A Data Fusion Perspective
    Webb, A.
• Tutorials
  • An Introduction to Learning Probabilistic Graphical Models
    Lerner, B.
  • Multivariate Adaptive Regression Splines: An Alternative to Neural Nets
    Steinberg, D.
• Discrimination and Classification (ACBM)
  • Five Approaches to Computational Personality Type Classification Problem
    Janku, L.; Sorf, M.; Lhotska, L.; Eck, V.
  • Profile Analysis as a Discrimination Method Applied to Wavelet Transformed Biomedical Spectra
    Pizzi, N.; Summers, A. R.; Alexander, M. E.
  • Parallel Computation for Dynamic Programming
    Xiangzhen Qiao; Zhao Li; Mingfa Zhu
• Medical Decision Making and AI (ACBM)
  • The Auguste Project: Decision Support for Patient Care
    Marling, C.;Whitehouse, P.J.
  • Using Regression Techniques for the Automated Selection of Radiosurgery Plans
    McCrickard, L.; Koenig, S.; Ezquerra, N.; Fox, T.
  • Medical Knowledge Representation by Arden Syntax with Fuzzy Extensions
    Tiffe, S.; Adlassizig, K.-P.
  • Use of Artificial Neural Networks (ANN) To Estimate Glucose - Insulin Indexes
    Diab, J.; Aly, A. F.; Kalifa, A. M.
  • Biomedical Systems Investigation By Delayed Feedback Modeling and Locally Asymptotic Approaches
    Dailyudenko, V.
• Medical Image Processing (ACBM)
  • Visual Target Tracking for Medical Applications
    Brazier, K.; Wen, Q.-P.; Russel, P.C.; Jones, G.R.
  • A Fast, Two-Stage Strategy for the Exploratory Analysis of Functional MRI Data by Temporal Fuzzy Clustering
    Somorjai, R.; Jarmasz, M.; Baumgartner, R.
  • Study of the Tibio-Femoral Joint Using Active Contours
    Rousselle, J. J.; Brilhault, J.; Vincent, N.; Champion, D.; Favard, L.
• Medical Signal Processing (ACBM)
  • A Multi-Channel Analysis Using PCA Applied to Diagnostic and Prediction of Epileptic Seizure
    Peyrodie, L.; Pebay, P.; Morineaux, T.; Gallois, P.; Forzy, G.
  • Characterization of the Electroencephalogram of Microsleep using Self-Organized Feature Maps
    Sommer, D.; Golz, M.; Ramsthaler, C.; Trutschel, U.; Moore-Ede, M.
  • Application of Vector-Based Neural Networks for the Recognition of beginning Microsleep Episodes with an Eyetracking System
    Sommer, D.; Golz, M.; Seyfarth, A.; Trutschel, U.; Moore-Ede, M.
• Data Mining and its Applications Data Mining in Medicine (Invited Session M. Zorman - P. Kokol)
  • Knowledge Discovery and Data Mining in Medical Reports
    Alves, V. M.; Neves, J. ; Maia, M.; Nelas, L.
  • Experiences of Mining a Diabetes database
    Picavet, M.; Duhamel, A. ; Devos, P.
  • The Influence of Different Databases to the Accuracy of Machine Learning
    Zorman, M.; Eich, H.P.; Kokol, P.; Ohmann, C.
  • Application of Data Mining in Health Care
    Riano, D; Prado, S.
• Poster Papers (ACBM)
  • Effects of the Immune System on Human Immunodeficiency Virus Infection in Acute and Chronic Phases - A Mathematical Model of HIV Infection
    Takayanagi, T.; Ohuchi, A.
  • Electrocardiosignal Processing based on Algorithms for Minimal Attractor Embedding Dimension Estimation
    Krot, A.; Minervina, H.
  • A Mathematical Model of Human Circulation as a Basis for Extended Patient Monitoring During Cardiac Surgery
    Naujokat, E.; Kiencke, U., Vahl, C.F.
  • Noise Suppression for Intramagnet Electrocardiograms
    Pizzi, N.; M.E. Alexander, M. Ede, R.L. Somorjai
  • Analysing the Diagnostic Performance of the Preprocessing Perceptron using ROC Curves
    Kallin Westin, L.
  • Parametric Models with Stationarity Constraints in Cell Biology and Biomedicine
    Van Riel, N.; Damen, Ad A. M.;Van den Bosch, P.P.J.
  • A Neural Network Based Breast Lesions Diagnosis Support System for Dynamic Magnetic Resonance Imaging
    Morpurgo, A.; Monti, A ; Vergnaghi, D.
• Conditional Volatility Dependence And Risk (ACFM)
  • Asymmetric Exchange Rate Dependence and the Conditional Copula
    Patton, A.J.
  • Solving for Biased Estimates of Aggregated GARCH processes
    Komunje, I.
  • What is a pausible stress scenarios?
    Breuer, T.; Krenn, G.
  • High Frequency Data and Exchange Rate Volatility
    Beltratti, A.; Morana, C.
  • Multi-step estimation of Multivariate GARCH Models
    Sheppard, K.; Engle, R.F.
  • Simulation Monte Carlo Methods to Extended Stochastic Volatility Models
    Soukup, T.; Simandl, M.
• Computing in Business (ACFM)
  • On Optimal Loan Limits
    Falkowski B. J.
  • A Fuzzy Credit Rating Approach for Small Firm Creditworthiness Evaluation in Bank Lending. An Italian Case
    Facchinetti, F.; Cosma, S.; Mastroleo, G.; Ferretti, R.
  • On the Ability of Classification Techniques in Ranking Customers Based on the Likelihood of Belonging to Each Predefined Class
    Boonyanunta, N.; Zeephongsekul, P.
• Forecasting and Trading 1 (ACFM)
  • Optimization of Trading Rules with a Penalty Term
    Hellström, T.
  • Multiple Generalized Regression Neural Networks with a Gating Network for Global Stock Index forecasting
    Enke, D.; Disorntetiwat, P.; Dagli, C. H.
  • Using Genetic Algorithms to Find Technical Trading Rules: An Asset-Allocation Perspective
    Strobl, G.; Fahlenbrach, R.
  • Tactical Asset Allocation with Artificial Neural Networks
    Casas, A.
  • Optimizing Portfolios With Ant Systems
    Maringer, D. G.
• Forecasting and Trading 2 (ACFM)
  • Predicting stock indices n-days ahead: A comparison of techniques using Australian data
    Barnes, M.; Rimmer, R. J. ; Kai Ming Ting
  • A New Finite Difference Procedure for Fixed-Strike Asian Options
    Rasmussen, H.; Anderson, C. L.; Davison, M.
  • Neural Network Prediction of Stock Values
    Smith, L.; Smith, M.
  • A Reference Architecture for Multi-Agent Simulation of Derivative Markets
    Streltchenko, O.; Narendra, N. C. ; Yelena Yesha
  • Time Series Risk Prediction Model with GARCH- Designed Neural Networks: An Empirical Comparison With the AR-GARCH Model
    Okay, N.
• Forecasting and Trading 3 (ACFM)
  • The Use of Data Mining, Neural Network Models, and Validation Techniques for Predicting Excess Stock Returns
    Enke, D.; Thawornwong, S.
  • Modelling Spot Rate Process in the Russian Treasury Bills Market
    Drobyshevsky, S.
  • Alternative Methods for Detecting and Dating Structural Breaks: An Application to The French-German Interest Rate Differential
    McAdam, P.; Henry, J.
  • A New Approach to Interest Rate Sensitivity Using the Complex Plane
    Osborne, M. J.
• Option Pricing (ACFM)
  • Improved Modeling of Derivatives with Mixture Density Networks
    Dorffner, G.; Schittenkopf, C.
  • Approximating the Optimal Exercise Boundary for American Options via Monte Carlo
    Mallier, R.
  • The Method of Lines for Pure-Jump Processes
    Albanese, C.; Jaimungal, S.; Rubisov, D. H.
• Poster Papers (ACFM)
  • Real- time Systems Under Maximum Load Regime
    Kreimer, J.
  • The Discrete Singular Convolution for Pricing European and American Options
    Zhao, S.; Wei, G. W.
• Classification Techniques & Applications (AIDA)
  • Bayesian Gamma Mixture Models for Target Recognition
    Copsey, K.; Webb, A.
  • Approaches to Imbalanced Data for Classification: A Case Study
    Lee, G.; Harris, C. J.; Gunn, S. R.; Reed, P.A.S.
  • Decision-Making Support Based on QFD. To Perform System Design Quality
    Seklouli, A.; Gien, D.
  • Features Selection and Dimensionality Reduction in Web pages Representation
    Ribeiro, A.; Fresno, V.
• Data Mining (AIDA)
  • Information Compression by Multiple Alignment, Unification and Search as a Framework for 'Intelligent' Computing
    Wolff, G.
  • Four Measures of Data Complexity for Bootstrapping, Splitting and Feature Sampling
    Shipp, C. A.; Kuncheva, L.I.
  • DEEPSIA - Focusing E-commerce on the Purchaser's side
    Sousa, P.; Pimentao, J. P; Steiger-Garcao, A.
  • Synergistic Genetic Algorithm for Inductive Learning (SynGAIL)
    Lavangnananda, K.
  • Efficient Service Allocation in Open Multi-agent Systems
    Easwaran, A. M.; Pitt, J.
• Neural Networks and Machine Learning (AIDA)
  • Event Detection and Identification from Multivariate Data with Missing Values
    Bongers, D.; Gurgenci, H.; Wilson, R.; Orlowska, M.
  • Dynamic Integration of Virtual Predictors
    Terziyan, V.
  • Multiword Concept Detection Model Based on Neural Networks for Indexing Full-Length Text Documents
    Perez, C.; de Mora, C.
  • Introduction of Prior Information Through Linguistic Approaches about Relevance of Variables Used for Classification in Self-Organizing ANNs based on Kohonen's Model
    Florez Lopez, R.
  • On The Classification Enhancement of Radial Basis Function Networks
    Ciftcioglu, O.; Durmisevic, S.; Sariyildiz, S.
• Perceptual Computation (Invited Session M. Kudo)
  • An Interactive Global Maximization Method Using a Multidimensional Representation Technique
    Kanemitsu, H.; Konno, H.; Komiya, Y.; Shimbo, M.
  • Comparison of Low-Dimensional Mapping Techniques Based on Discriminatory Information
    Mori, Y.; Kudo, M.; Shimbo, M.; Toyama, J.
  • Visualization of High-Dimensional Supervised Data Structure using Piecewise Linear Classifiers
    Tenmoto, H.; Mori, Y.; Kudo, M.; Shimbo, M.;
  • Clustering Consistent with Human Perception
    Kudo, M.; Murai, T.; Shimbo, M.
  • Error Analysis of MAP Solutions under Laplace Prior in Underdetermined Blind Source Separation
    Takigawa, I.; Kudo, M.; Shimbo, M.; Toyama, J.
• Data Mining and its Applications: Algorithms and Techniques (Invited Session T. Welzer)
  • ART Model for Generating Object Relation Object Constructs
    Chandra, B.; Bhat, R
  • The GUHA Method and Mining Association Rules
    Hajek, P.
  • Data Mining - An Overview
    Welzer, T.; Brumen, B.; Rozman, T.; Golob, I
  • Black-box Approach to Assessment of Performance of Classification Models
    Brumen, B.; Welzer, T.; Golob, I.; Jaakkola, H.
  • Knowledge Discovery with Genetically Induced Decision Trees
    Kokol, P.; Yamamoto, R.; Podgorelec, V; Masuda, G.; Sakamoto, N.
  • Ensemble Feature Selection with Dynamic Integration of Classifiers
    Skrypnyk, I.; Tsymbal, A.; Puuronen, S.
• Computational Models for Predicting Biologic Activity from Chemical Structure (Invited Session V. Arena)
  • Computational Predictive System for Rodent Organ-Specific Carcinogenicity
    Kodell, R. L.; Young, J.F.; Tong, W.; Fang, H.; Beger, R.D.; Chen, J.J.; Cheeseman, M.A.
  • Decision Tree (CART) SAR Models for Development Toxicity Based on the FDA/TERIS Database
    Arena, V.; Sussman, N.B.; Yu, S.; Mazumdar, S.; Padmakumari Thampatty, B.
  • Chemistry In Silico as a Tool For Hazard Assessment and Drug Discovery: Prospects and Problems
    Basak, S.; Mills, D; Gute, B. D. and Grunwald, G. D.
• Poster Papers (AIDA)
  • Parameter Identification in a Model For Microstructure Transformations in Steels Using Evolutionary Algorithms
    Schmitter, E.; Zylla, I.M.
  • RBFN's Modelling of Explosive Cutting Process of Plates Using Hybrid Genetic Algorithms
    Zadeh, N. N.; Darvizeh, A.
  • Speech Recognition Based on Measuring Wiener Kernels
    Krot, A.; Goncharov, B.A.; Tkachova, P.
  • Investigating Behavior of Complex Nonlinear Dynamic System Using Decompositions of Vector
    Funtions into State-Space Krot, A.
  • GeoAIDA - A Knowledge Based Automatic Image Data Analyser for Remote Sensing Data
    Stahlhut, O.; Buckner, J; Pahl, M; Liedtke, C. E.
  • Classification and Prediction of Medical Data by Adaptive Nonlinear Local Approximation Technique
    Miyano, T.; K. Tsutsui; Y. Seki; H. Taniguchi
  • Multiple Prototype Classifier Design through Tabu Search
    Ferri, F.; Cerverón, V.
  • A Method for Discriminating Shady Mixtures in Kneaded Food Material Based on Light Transmittance
    Okada, T.; K. Kanda, Ito, K.
  • Formal Specification of a Statistical Sampling Method for Decision Tree Induction
    Raileanu, L. E.; Stoffel, K.
  • Clustering Using Association Word Knowledge Base and Bayesian-CUG Algorithm for Collaborative Filtering
    Su-Jeong Ko; Jung-Hyun Lee
  • Accelerating the Learning Process for Self-Organizing Maps by Parallelizing the Neighbourhood Function Calculation 650 Knezu, C.
• Theory 1 (FLA)
  • Compactness of Fuzzy Logics
    Bodenhofer, U.; Navara, M.
  • Set Functors and L-fuzzy Set Categories: Towards a Fuzzy Programming Paradigm
    Aciego, M.; Galan, M. A.; Medina, J.; Valderde, A.;Eklund, P.
  • Tree Decomposition of Disjunctive Fuzzy Temporal Constraint Networks
    Bosch, A.; Torres, M.; Navarrete, I.; Marin, R.
  • T-transitive closures
    De Baets, B.; De Meyer, H.
• Theory 2 (FLA)
  • Generalized Opening and Closure Operators of Fuzzy Relations
    Bodenhofer, U.
  • Fuzzy Functions and Fuzzy Equality
    Novak, V.
  • Logical Approximation
    Perfilieva, I.; Dankova, M
  • A New Method for Ranking Fuzzy Numbers with Index of Optimism
    Mahmood, A.; Xi Zhi Shi,Xu JI Jun
• Applications (FLA)
  • Application of Fuzzy Sets in Political Science
    Silva Borges, P. S.; Cid Bastos, R.; Bleiber Fernandes Royes; Golbert Fernandes Royes
  • Colorimetric Alterations by way of Linguistic Modifiers: A Fuzzy Approach
    Truck, I.; Akdag H.; Borgi, A.
  • Delay Time Estimating in Project Management Using Fuzzy Delays and Fuzzy Probabilities
    Khanmohammadi, S.; Charmi, M.; Nasiri F.
  • Fuzzy logic applications to environmental engineering Systems: Case studies
    Deshpande, A.; Raje, D. V.
  • Application of Fuzzy Set Theory to Aggregation of Expert Judgements
    Mahmood, A.; Xi Zhi Shi; Xuji Jun
  • Using Fuzzy Similarities to Analyze Heavy Metal Distribution in a Marine Environment
    Al-Zaidan, A.S ; Kuncheva, L.I.
  • Fuzzy Color Morphology based on the Fuzzy Integral
    Soria-Frisch, A.; Koeppen
• Decision-making (FLA)
  • Operations Between Knowledge Bases of General Fuzzy Decision Systems
    Turcan, M. ; Holcapek, M.
  • Mappings Between General Fuzzy Decision Systems (GFDS)
    Holcapek, M.; Turcan, M.
  • Fuzzy Logic Based Model For Decision Making
    Scopel Simoes, M. A.
• Fuzzy Control 1 (FLA)
  • Fuzzy Control of an Unstable Nonlinear System Under State and Input Constraints
    Schnitman, L.; Yoneyama, T.
  • A Rectifying Control Method and System for Photoelectric Slitting by Fuzzy Control with Multi-Regulating Factors
    Du Xu, Yongping Jiang, Hang Liu
  • Model Reference Fuzzy Adaptive Control with Self-tuning of Scaling Factors
    Jones, K. O.; Banerjee ,J.; Williams, D.
  • A Self tuning Fuzzy Controller Based on Reference Model
    Rodrigues de Azevedo, H.; Vasconcellos Bezerra, C. A.
• Fuzzy Control 2 (FLA)
  • A Self Tuning Fuzzy Control Based on Controller Output Error Method- an Application
    Rodrigues de Azevedo, H.; Coutinho Gomes, L.
  • Fuzzy Model Based Sliding Mode Control
    Knight, M.J.; Sutton, R.; Jenkins, D. F. L.
  • New Two-Term Parameter Adaptive Fuzzy Control Structure for Time-Delay Systems
    Escamilla-Ambrosio, P.J.; Mort , N.
• Fuzzy Modeling (FLA)
  • Fuzzy Model For Real-Time Reservoir Operation
    Turunen, E.; Dubrovin, T.; Jolma, A.
  • Database Schema with Fuzzy Classification and Classification Query Language
    Meier, A.; Savary, C.; Schindler,G.;Veryha, Y.
  • Use of Genetic algorithms and Semi-active Fuzzy Control to Optimize the Model and Dynamic Response of Vibration Isolation Systems with Magnetorheological Dampers
    Sireteanu, T.;Ghita, G.; Giuclea, M. ; Stammers, C. W.
• Poster Papers (FLA)
  • A Design for a Class of Nonlinear Systems with Delay Time using Fuzzy Logic
    Han, H.; Murakami, S.
  • Development of Rule- Based Expert System using Fuzzy logic with Application to Seismic risk Evaluation
    Gupta, A.; Agrawal, D. P., Sahu, R