Author
 Title  Venue  Year  Keywords
Bukovsky, I.; Bíla, J.; Gupta, M.; and Hou, Z.-G. New Neural Architectures and New Adaptive Evaluation of Chaotic Time Series part 1 IEEE-ICAL  2008  
Bukovsky, I.; Bíla, J.; Gupta, M.; and Hou, Z.-G. New Neural Architectures and New Adaptive Evaluation of Chaotic Time Series part 2 IEEE-ICAL
 2008  
Tsang, Edward Computational Finance & Economics CEC
 2007  
Yao, Xin From Evolving Single Neural Networks to Evolving Ensembles CEC  2007  
Michalewicz, Zbigniew Adaptive Business Intelligence CEC  2007  
Poli, Riccardo Genetic Programming Practice and Theory CEC  2007  
Fogel, Gary; and Wiese, Kay Tutorial on Evolutionary Computation in Bioinformatics CEC   2007  
Deb, Kalyanmoy Evolutionary Multi-Objective Optimization (EMO) CEC  2007  
Suganthan, P. N. Particle Swarm Optimization & Differential Evolution CEC  2007  
Nakashima, Tomoharu Evolving Soccer Teams for RoboCup Simulation CEC 2007  
De Jong, Kenneth Evolutionary Computation: A Unified Approach CEC  2007  
Angelov, P.; and Filev, D. Design of Real Time Evolving Fuzzy Systems: Methodology, Algorithms & Applications FUZZ-IEEE 2007  
Berenji, Hamid Fuzzy Reinforcement Learning FUZZ-IEEE 2007  
Feng, Gang; and Zeng, Xiaojun Model based Fuzzy Logic Control: Overview and Perspectives FUZZ-IEEE 2007  
Gegov, Alexander Rule Base Compression in Fuzzy Systems FUZZ-IEEE  2007  
Klir, George J. Uncertainty and Information FUZZ-IEEE  2007  
Bezdek, James Approximate Clustering in Very large Images

IJCNN

 2007  
Bezdek, James Approximate Clustering in Very Large Relational Data IJCNN  2007  
Bezdek, James Approximate Clustering in Very Large Object Data IJCNN  2007  
Bezdek, James Pattern Recognition IJCNN  2007  
Bezdek, James sVAT for VL Data IJCNN  2007  
Bezdek, James Clustering in VL Data IJCNN  2007  
Cherkassky, Vladimir Non-Inductive Approaches for Learning with Sparse Data IJCNN  2007  
Guyon, Isabelle Feature Selection and Causal Discovery IJCNN  2007  
Grossberg, Stephen 20 Years of Neural Networks: A Promising Start, A brilliant Future IJCNN  2007  
Kasabov, Nikola Evolving Connectionist Systems: The Knowledge Engineering Approach IJCNN  2007  
Jordan, Michael Applied Nonparametric hierarchical Bayes IJCNN  2007  
Lendaris, George Designing (Approximate) Optimal Controllers via DHP Adaptive Critics&Neural Networks IJCNN 2007  
Lendaris, George Learning&Approximate Dynamic Programming IJCNN  2007  
Melin, Patricia; and Castillo, Oscar Hybrid Intelligent Systems for Pattern Recognition using Soft Computing Techniques IJCNN  2007  
Molter, Colin; and Sato, Naoyuki Hippocampus, Memory and Dynamics IJCNN  2007  
Perlovsky, Leonid Bio-Inspired and Cognitive Neural Networks IJCNN  2007  
Principe, Jose Data Modeling using Kernels and Information Theoretic Learning IJCNN  2007  
Szu, Harold Real World Applications: Unsupervised Learning: Single Pixel BSS(Part I) IJCNN  2007  
Szu, Harold Real World Applications: Unsupervised Learning: Single Pixel BSS (Part II) IJCNN  2007  
Szu, Harold Real World Applications: Unsupervised Learning: Single Pixel BSS (Part III) IJCNN  2007  
Singer, Wolf Oscillations, Synchrony and Temporal Codes in Cortical Processing IJCNN  2007  
Wang, Jun Neurodynamic Optimization: Models and Applications IJCNN  2007  
Werbos, Paul Time-Series Prediction: A Challenge to the Neural Network Field IJCNN  2007  
Werbos, Paul From Backpropagation to Brain-like Intelligent Systems: Current Status and Opportunities IJCNN  2007  
Arnold, Dirk V. Foundations of Real-Valued Evolutionary Algorithms SSCI  2007  
Boddy, Mark Beyond the Job-shop: Scheduling in the Real World SSCI 2007
 
Bouzy, Bruno Old-fashioned Computer Go vs Monte-Carlo Go SSCI  2007  
Dasgupta, Dipankar Computational Intelligence in Cyber Security SSCI  2007  
Ehrgott, Matthias Mathematical Programming Techniques in Multiobjective Optimization SSCI  2007  
Eberhart, Russell C. Particle Swarm Optimization SSCI  2007  
Gallagher, John C. Principles of Evolvable and Adaptive Hardware SSCI  2007  
Keller, Jim Soft Computing for Sensor and Algorithm Fusion SSCI  2007  
Lendaris, George Basics of DHP type Adaptive Critics / Approximate Dynamic Programming and Some Application Issues SSCI  2007  
Motomura, Y.; and Nishida, Y. Computational Intelligence in Everyday Life SSCI  2007  
Pfahringer, Bernhard Machine Learning with WEKA SSCI  2007  
Powell, Warren Approximate Dynamic Programming for High-Dimensional Problems SSCI  2007  
Rajapakse, Jagath C. Signal and Motif Detection in Genomic Sequences SSCI  2007  
Reynolds, Robert G. Cultural Algorithms: Knowledge-Driven Problem Solving in Social System SSCI  2007  
Reynolds, Robert G. Cultural Algorithms Tutorial System(CAT) SSCI 2007  
Szu, Harold Real World Applications: Unsupervised Learning SSCI 2007  
Stanley, Kenneth Practical Issues in Evolving Neural Network Controllers for Video Game Agents SSCI  2007  
Venayagamoorthy, Ganesh Advanced Computational Intelligence for Identification, Control and Optimization of Nonlinear Systems SCCI  2007  
Yap, Kim Hui Computational Intelligence in Media Indexing and Retrieval SCCI  2007  
George Lendaris Basics of DHP type Adaptive Critics /Approximate Dynamic Programming Approximate Dynamic Programming and some application issues

The first IEEE Symposium Series on Computational Intelligence (IEEE SSCI)

 2007 Honolulu, Hawaii
Y. Motomura and Y. Nishida Computational Intelligence in Everyday Life /
Probabilistic Human Modeling and Behavior Sensing
The first IEEE Symposium Series on Computational Intelligence (IEEE SSCI)  2007 Honolulu, Hawaii
Jim Keller Soft Computing for Sensor and Algorithm Fusion The first IEEE Symposium Series on Computational Intelligence (IEEE SSCI)  2007 Honolulu, Hawaii
Matthias Ehrgott Mathematical Programming Techniques in Multiobjective Optimization The first IEEE Symposium Series on Computational Intelligence (IEEE SSCI)  2007 Honolulu, Hawaii
AngelovPlamen Evolvable Fuzzy Systems WCCI  2006  
Taylor, John Towards An Autonomous Computationally Intelligent Cognitive System IJCNN  2006  
Widrow, Bernard Lectures on Neural Networks
WCCI  2006  
George Lendaris Basics of DHP type Adaptive Critics / Approximate Dynamic Programming and some application issues NSF Workshop and Outreach Tutorials on Approximate Dynamic Programming  2006

NW Computational Intelligence Laboratory

Portland State University

Dimitri Bertsekas Dynamic Programming and Sub-Optimal Control: A Survey from ADP to MPC NSF Workshop and Outreach Tutorials on Approximate Dynamic Programming.  2006

Dept. of Electrical Engineering and Computer Science

M.I.T

Jerry M. Mendel Interval Type-2 Fuzzy Logic Systems Made Simple by Using Type-1 Mathematics
WCCI 2006  University of Southern California
Baldi, Pierre Bioinformatics and Machine Learning: the Prediction of Protein Structures on a Genomic Scale IJCNN  2005  
Cherkassky, Vladimir New Formulations for Predictive Learning IJCNN  2005  
Floreano, Dario Evolutionary Robotics IJCNN  2005  
Lewis, Frank Nonlinear Network Structures for Feedback Control IJCNN  2005  
Perlovsky, Leonid Integrating Language and Cognition——New Results in Computational Intelligence (ppt. file), IJCNN  2005  
Perlovsky, Leonid Dynamic Logic Example  (avi. file) IJCNN  2005  
Rosa, Joao Luis Garcia Biologically Plausible Artificial Neural Networks IJCNN   2005  
Srivastava, A.; Liu, X.; and Mio, W. Nonlinear Manifolds in Pattern Recognition and Image Analysis IJCNN  2005  
Suykens, Johan Support Vector Machines and Kernel Based Learning(1 slides/page) IJCNN  2005  
Suykens, Johan Support Vector Machines and Kernel Based Learning(2 slides/page) IJCNN  2005  
Suykens, Johan Support Vector Machines and Kernel Based Learning (4 slides/page) IJCNN 2005  
Szu, Harold Unsupervised Learning IJCNN 2005
 
Tagliaferri, Roberto; and Staiano, Antonino Visualization of High Dimensional Scientific Data IJCNN  2005  
Tzanakou, Evangelia Micheli Feature extraction in Computational Intelligence IJCNN  2005  
Werbos, Paul J. Neural Networks That Actually Work In Diagnostics, Prediction & Control: Common Misconceptions Vs. Real-World Success IJCNN  2005  
 Jerry M. Mendel Fuzzy Sets for Words: Why Type-2 Fuzzy Sets Should be Used and How They Can be Used FUZZ-IEEE

 2004

University of Southern California
Fogel, David B. Accelerating Problem Solving by Combining Machine Learning and Human Learning      
Horváth, Gábor Neural Networks for System Modeling      
ler, J.; and Popescu, M. Soft Computing in Bioinformatics      
Pedrycz, Witold Foundations and Applications of Granular Computing    
Petriu, Emil M. Neural Networks: Basics      
Petriu, Emil M. Neural Networks:Modeling Applications      
Petriu, Emil M. Fuzzy Systems for Control Applications      
Yao, Xin A Gentle Introduction to Evolutionary Computation    
David Fogel
Accelerating Problem Solving by Combining Machine Learning and Human Learning
    Natural Selection, Inc.

IEEE Computational Intelligence Society