Current Projects of the Computational Intelligence Laboratory

Each project should include: objectives (short description), list of participants, time schedule, results (papers and talks), list of open problems, and a working log of weekly progress (local access for members of CIL only). 

We should move these project to Wiki pages, right now most people are not adding their contributions!

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• Datasets used by us, comparison of results
• Logical rules for classification
• Old, finished or aborted projects

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Active projects 2016

CI/AI:

1. Meta-learning, or learning how to learn - W. Duch, K. Grabczewski, N. Jankowski
2. Computational creativity - W. Duch, M. Pilichowski
3. Understanding neural networks and neurodynamics through visualization - W. Duch + K. Dobosz
4. Prototype-based rules and similarity-based learning - M. Blachnik, K. Grudziński, W. Duch
5. Novel machine learning algorithms - k-separability, projection pursuit networks, universal learning machines, almost random projection machines, transfer learning etc. - W. Duch, M. Grochowski, T. Maszczyk and Co.

Other recent CI projects: signal processing (see Tomasz Piotrowski), and search here for more papers.

Neurocognitive Laboratory projects (NCL ICNT):

1. Neurocognitive approach to language - W. Duch, P. Matykiewicz, M. Pilichowski, J. Szymanski
2. Imagery agnosia - W. Duch
3. Semantic spaces and word games - W. Duch, J. Szymanski, T. Sarnatowicz, P. Matykiewicz
4. A test-bed for integration of different Humanized Interface Technologies (HIT) - W. Duch, J. Szymanski, T. Sarnatowicz, and the Singapore C2i Center
5. Medical Information Retrieval - P. Matykiewicz, J. Pestian, W. Duch
6. Other recent projects: global analysis of EEG, brain stem model, amusia, states of consciousness, etc ... search here.

Projects in bioinformatics: see Jarek Meller and Rafał Adamczak.

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Computational Cognitive Science Projects

1. Associative memory models - W. Duch
2. Categorization from neurodynamical and psychological perspectives - W. Duch
3. Models of emotional states of mind - W. Duch
4. Neural realization of psychological spaces - W. Duch
5. Neurobiological computational theory of consciousness- W. Duch
6. Platonic theory of mind - W. Duch
7. Sensorimotor integration - W. Duch, MPPI group
8. Transpersonal issues in cognitive science - W. Duch

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Computational Intelligence Projects (older, but still not dead) 

Neurofuzzy systems

1. Search-based neural training - M. Kordos, W. Duch
2. Visualization of neural error functions - M. Kordos, W. Duch
3. Feature selection and extraction - W. Duch + J. Biesiada
4. New transfer functions for neural networks - N. Jankowski, W. Duch
5. Feature space mapping neurofuzzy system - R. Adamczak, W. Duch, N. Jankowski
6. Initialization of MLP and FSM networks - R. Adamczak, W. Duch, N. Jankowski
7. Logical capabilities of density networks - K. Grabczewski, W. Duch
8. Bayesian approach to density estimation networks - W. Duch
9. RBF-like neural networks - Statistical control of growing and pruning - N. Jankowski
10. Merging of neurons for neural networks - N. Jankowski

 

Logical rule extraction

11. Logical rule extraction from constrained backpropagation networks - R. Adamczak, R. Grabczewski, W. Duch
12. Rule extraction from FSM - R. Adamczak, R. Grabczewski, W. Duch
13. Hybrid neural/machine learning system for logical rule extraction from training data - R. Adamczak, W. Duch, K. Grabczewski, G. Zal

 

Dynamical systems and recurrent networks

14. Symbolic approximations to dynamical systems - T. Kisielewski, W. Duch
15. Visualization of basins of attractors of dynamical systems performing logical operations - E. Janiak, W. Duch
16. Approximations to neurodynamics leading to psychological spaces - W. Duch

 

Self-organization

17. SOM, MDS and Sammon mapping - A. Naud, W. Duch
18. Topographical interpolation in SOM networks - A. Naud, W. Duch
19. Visualization of multidimensional data using SOM/MDS - A. Naud, W. Duch
20. Classification via reference tokens - A. Naud, W. Duch
21. Topographically Correct Visualization- W. Duch, ???

 

Machine learning and neural networks

22. Adaptive machine learning methods, synthesis of neural and machine learning methods - K. Grudzinski, W. Duch
23. Minimal-distance neural classifier - M. Kapiwas, W. Duch

 

Applications of computational inteligence

24. Applications of CI in psychometry - J. Gomula, T. Kucharski, A. Korcala, R. Adamczak, K. Grabczewski, W. Duch
25. Applications of CI in medical diagnosis - R. Adamczak, W. Duch, K. Grabczewski, G. Zal
26. Computational intelligence suport for quantum chemistry - W. Duch, K. Grudzinski & MPA group

 

Other projects

27. Neural networks and Hidden Markov Models (HMM) for RNA and protein structure prediction - W. Duch, T. Rohn.
28. Local adaptive coordinate systems, an alternative to neural algorithms - W. Duch
29. Scaling of neural algorithms - W. Duch
30. Unified theory of Computational Intelligence: integration of statistical, pattern recognition, neural networks and machine learning views - W. Duch
31. Complex systems and information theory - W. Duch
32. Synchronicity and inseparability from the quantum-mechanical point of view - W. Duch

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Foundations of Computer Science Projects

1. Continuous computations, super-Turing machines - W. Duch
2. Neural Turing machine - W. Duch, N. Jankowski

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Other Projects

1. Hardware and software for auditory discrimination - W. Duch & A. Korcala

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Open MSc & PhD Projects

1. Global optimization methods applied to neural learning
2. Approximations to the biologically motivated neuron transfer functions
3. Other MSc/PhD projects (in Polish)