Publikacje

2017
R. Linowiecki, J. Matulewski, Bibianna Bałaj, Agnieszka Ignaczewska, Joanna Dreszer, Magdalena Kmiecik, W. Duch
GCAF. Platforma tworzenia aplikacji kontrolowanych wzrokiem – nowy sposób przygotowywania w pełni interaktywnych eksperymentów z użyciem okulografu
Lingwistyka Stosowana *20*2017; 83 - 99


2016
A. Sokołow, S. Meszyński
Possible world's states recognition in agents communication 2016; 100 - 109

Markowski Grzegorz, K. Grąbczewski, R. Adamczak
Oversampling Negative Class Improves Contact Map Prediction
International Journal of Pharma Medicine and Biological Sciences *5*2016; 211 - 216

Aleksandra Mreła, A. Sokołow
APPLICATION OF TYPE 2 FUZZY RELATIONS TO ESTABLISH LEVELS OF LEARNING OUTCOMES’ ACQUIREMENT BY STUDENTS 2016; 77 - 94

Kostiantyn Meteshkin, A. Sokołow, Olga orozova, Natalia Teplova
Integration of higher and secondary education: problems and ways of their solution on the basis of information technologies
J. Educ. Health Sport *6(7)*2016; 375 - 390

DOI: http://dx.doi.org/10.5281/zenodo.58067

Goriacha Veronica A., A. Sokołow, Ugryumova Kateryna M., Antonyan Igor M., Roshin Yuri V., Zelensky Alexandr I., Moshel Fedor G., Nalbandian Taron A.
Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases
Journal of Health Sciences *6(5)*2016; 77 - 93

DOI: http://dx.doi.org/10.5281/zenodo.51160

A. Sokołow, S. Meszyński
POSSIBLE WORLD'S STATES RECOGNITION IN AGENTS COMMUNICATION 2016; 100 - 109

T. Piotrowski, Yamada Isao
Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio
J. Frankl. Inst. *353*2016; 2898 - 2928

Bibianna Bałaj, Piotr Francuz, M. Sternal, J. Matulewski
Compensation of Head Movements in the Data Registered with a Headset Eye Tracker Using the EVM Software Package
The Polish Journal of Aviation Medicine and Psychology *22*2016; 1 - 17

Gravier A, Quek H.C, W. Duch, Abdul Wahab, Gravier-Rymaszewska J
Neural network modelling of the influence of channelopathies on reflex visual attention.
Cognitive Neurodynamics *10(1)*2016; 49 - 72

T. Piotrowski, Nikadon Jan, Gutierrez David
Reconstruction of brain activity in EEG/MEG using reduced-rank nulling spatial filter
Proceedings of IEEE Statistical Signal Processing Workshop *1*2016; 1 - 5


2015
Aleksandra Mreła, A. Sokołow
COMPOSITIONS OF FUZZY RELATIONS APPLIED TO VERYFICATION LEARNING OUTCOMES ON THE EXAMPLE OF THE MAJOR “GEODESY AND CARTOGRAPHY”
Journal of Health Sciences *5(5)*2015; 183 - 192

DOI: 10.5281/zenodo.17495

S. Meszyński, A. Sokołow
Modeling the Dynamics of Insulin-Glucose Subsystem Using a Multi-agent Approach Based on Knowledge Communication
INTELLI 2015 *2015 3 30 60053*2015; 55 - 60

S. Meszyński, Mateusz Józefowicz
Analog Mars Rover Service as a Robotic Hardware and Team Building Platform 2015; 145 - 161

A. Sokołow, S. Meszyński, Dreszer-Drogorób Joanna, Bałaj Bibianna, W. Duch, S. Grzelak, Komendziński Tomasz, D. Mikołajewski
Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication
Journal of Health Sciences *5(2)*2015; 260 - 268

DOI: 10.5281/zenodo.16251

A. Sokołow, K. Dobosz, dr Dreszer Joanna, W. Duch, S. Grzelak, dr Komiedziński Tomasz, D. Mikołajewski, T. Piotrowski, dr Świerkowska Małgorzata, P. Weber
Spirometry Data Analysis and Monitoring in Medical and Physiological Tests
Journal of Health Sciences *5(3)*2015; 35 - 46

DOI: 10.5281

A. Sokołow, S. Meszyński, Weber Piotr, D. Mikołajewski, Dreszer Joanna, Bałaj Bibianna, S. Grzelak, W. Duch, Komendziński Tomasz
Multiagent modeling of emotions influence on physiological systems: new concept
Journal of Health Sciences *5(1)*2015; 221 - 240

DOI: 10.5281/zenodo.16252

Viktoriia Shevchenko, Kostiantyn Meteshkin, Olga Morozova, A. Sokołow, Aleksndra Mreła5
Information Systems in Management of the Student Self-Education Process
International Journal of Education and Information Technology *1*2015; 1 - 10

DOI: 10.18178/IJIET


2014
Mreła Aleksandra, A. Sokołow, Ivanow Stanisław, Prylypko Sergji
DECISION SUPPORT SYSTEMS – THE HELP FOR VOCATIONAL GUIDANCE OF LAW GRADUATES
Legea si Viata *1(265)*2014; 187 - 191

Paweł Matykiewicz, W. Duch
Multiple inheritance problem in semantic spreading activation networks.
LNAI *8609*2014; 252 - 265

DOI: 978-3-319-09890-6

Stefan Wermter, Cornelius Weber, W. Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P Villa
Artificial Neural Networks and Machine Learning -- ICANN 2014 2014

W. Duch
Komunikacja jako rezonans między mózgami 2014; 19 - 50

K.A. Meteshkin , A. Sokołow, .O.I. Morozowa, W.A. Szewczenko, E.E. Pomortseva
Cybernetyczna pedagogika: IT-technologii w administracji i organizacji kształcenia i szkolenia na uniwersytetach. Teoria i praktyka. 2014

A. Sokołow, S. Meszyński, Gernot Groemer, Birgit Sattler, Franco Carbognani, Jean-Marc Salotti, Mateusz Józefowicz
Human-Mobile Agents Partnerships in Complex Environment
2014 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE PROCEEDINGS *978-1-4799-4507-8*2014; 126 - 133

dr Mreła Aleksandra, A. Sokołow
Identification of MP Graduates’ Competences Required on the Job Market on the Base of Type-2 Fuzzy Relations
Journal of Health Sciences *04(03)*2014; 115 - 126

Gernot Groemer, Birgit Sattler, Klemens Weisleitner, Lars Hunger, Christoph Kohstall, Albert Frisch, Mateusz Józefowicz, S. Meszyński, Michael Storrie-Lombardi, the MARS2013 Team
Field Trial of a Dual-Wavelength Fluorescent Emission (L.I.F.E.) Instrument and the Magma White Rover during the MARS2013 Mars Analog Mission
ASTROBIOLOGY *14(5)*2014; 391 - 405

DOI: 10.1089/ast.2013.1081

T. Piotrowski, Yamada Isao
Performance of the stochastic MV-PURE estimator in highly noisy settings
J. Frankl. Inst. *351*2014; 3339 - 3350

T. Piotrowski, Gutierrez David, Yamada Isao, Żygierewicz Jarosław
A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization 2014; 447 - 458

T. Piotrowski, Gutierrez David, Yamada Isao, Żygierewicz Jarosław
Reduced-rank neural activity index for EEG/MEG multi-source localization
IEEE International Conference on Acoustics, Speech and Signal Processing *1*2014; 4708 - 4712

K. Grąbczewski
Meta-Learning in Decision Tree Induction 2014


2013
S. Meszyński, Mateusz Józefowicz
Analog Mars Rover Service as a Robotic Hardware and Team Building Platform
GBR *Vol 2 No 3*2013; 52 - 60

DOI: 10.7603/s40707-013-0009-4

W. Duch
Amuzja Wyobrażeniowa 2013; 243 - 266

W. Duch
Computational Creativity. 2013; 464 - 468

W. Duch
Meta-learning. 2013; 1293 - 1296

W. Duch
Rule discovery. 2013; 1879 - 1883

T. Piotrowski, Zaragoza-Martinez Claudia Carolina, Gutierrez David, Yamada Isao
MV-PURE estimator of dipole source signals in EEG
IEEE International Conference on Acoustics, Speech and Signal Processing *1*2013; 968 - 972

Dariusz Mikołajewski, W. Duch
Modelowanie pnia mózgu 2013; 605 - 636

A. Sokołow, dr Olga Morozowa
FUZZY ONTOLOGICAL KNOWLEDGE REPRESENTATION FOR THE TRAINING OF MEDICAL TERMINOLOGY
Journal of Health Sciences *3(4)*2013; 30 - 39

Agnieszka Banaszak-Piechowska, Aleksandra Mreła, A. Sokołow
EXPERT SYSTEMS – THE HELP FOR VOCATIONAL GUIDANCE OF MEDICAL PHYSICS GRADUATES
Journal of Health Sciences *3(2)*2013; 115 - 129

Victor Starenkyi, Veronica Goryachaya, A. Sokołow, Ekatherina Ugryumova
. DIAGNOSTIC MODEL AND INFORMATION TECHNOLOGY OF CLASSIFICATION STATES IN THE DIFFERENTIAL DIAGNOSIS NSCLC (NON-SMALL CELL LUNG CANCER) PATIENTS WITH DIFFERENT METHODS OF RADIOTHERAPY AND CHEMOTHERAPY
Journal of Health Sciences *3(8)*2013; 7 - 26

K. Dobosz, Dariusz Mikołajewski, Grzegorz M. Wójcik, W. Duch
Simple Cyclic Movements as a Distinct Autism Feature: Computational Approach
Computer Science *14(3)*2013; 475 - 489

DOI: 10.7494/csci.2013.14.3.475

W. Duch
Mózgi i Edukacja: w stronę Neurokognitywnej Fenomiki. 2013; 1 - 14

Tadeusiewicz R, Korbicz J, Rutkowski L, W. Duch
Sieci neuronowe w inżynierii biomedycznej. 2013

W. Duch
Brains and Education: Towards Neurocognitive Phenomics. 2013; 12 - 23

W. Duch, K. Dobosz
Sieci neuronowe w modelowaniu chorób psychicznych 2013; 637 - 666

Maciej Pilichowski, W. Duch
BrainGene: computational creativity algorithm that invents novel interesting names 2013; 92 - 100

W. Duch, K. Dobosz, Dariusz Mikołajewski
Autism and ADHD – Two Ends of the Same Spectrum?
Lect. Notes Comput. Sci. *8226*2013; 623 - 630

DOI: 10.1007/978-3-642-42054-2_78


2012
Szymański Julian, W. Duch
Information Retrieval with Semantic Memory model
Cognitive Systems Research *14*2012; 84 - 100

dr Marcin Blachnik, W. Duch, T. Maszczyk
Feature ranking methods used for selection of prototypes
Lect. Notes Comput. Sci. *7553*2012; 296 - 304

DOI: 10.1007/978-3-642-33266-1_37

Marcin Blachnik, Mirosław Kordos, W. Duch
Extraction of prototype-based threshold rules using neural training procedure
Lect. Notes Comput. Sci. *7553*2012; 255 - 262

Julian Szymański, W. Duch
Context Search Algorithm for Lexical Knowledge Acquisition
Control and Cybernetics *41*2012; 1 - 16

T. Maszczyk, W. Duch
Recursive Similarity-Based Algorithm for Deep Learning
Lect. Notes Comput. Sci. *7665*2012; 390 - 397

A. Sokołow, O. Radyvonenko, T. Korchak, O. Gololobova
EPIDEMICS PREDICTION WITH THE USE OF NEURO-FUZZY METHODS FOR TIME SERIES PROCESSING UNDER UNCERTAINTY CONDITIONS
Journal of Health Sciences *2(6)*2012; 64 - 70

T. Piotrowski, Yamada Isao
Efficient Parallel Computation of the Stochastic MV‐PURE Estimator by the Hybrid Steepest Descent Method
Lect. Notes Comput. Sci. *7268*2012; 404 - 412

DOI: 10.1007/978-3-642-29350-4_49

S. Meszyński
Krótka historia polskich robotów na zawodach URC. 2012; 149 - 162

T. Piotrowski, Yamada Isao
Performance of the Stochastic MV‐PURE Estimator with Explicit Modeling of Uncertainty
IEEE ICASSP-2012 *1*2012; 3349 - 3352

DOI: 10.1109/ICASSP.2012.6288633

M. Grochowski
Simple Incremental Instance Selection Wrapper for Classification
Lect. Notes Comput. Sci. *7268*2012; 64 - 72

DOI: http://dx.doi.org/10.1007/978-3-642-29350-4_8

N. Jankowski
Graph-based generation of meta-learning search space
Int. J. Appl. Math. Comput. Sc *22*2012; 647 - 667

Julian Szymański, W. Duch
Annotating Words Using WordNet Semantic Glosses
Lect. Notes Comput. Sci. *7666*2012; 180 - 187

T. Maszczyk, W. Duch
Locally Optimized Kernels
Lect. Notes Comput. Sci. *7267*2012; 412 - 420

W. Duch, W. Nowak, J. Meller, G. Osiński, K. Dobosz, Dariusz Mikołajewski , Grzegorz M. Wójcik
Computational Approach to Understanding Autism Spectrum Disorders
Computer Science *13 *2012; 47 - 61

DOI: 10.7494/csci.2012.13.2.47

A.E.P. Villa, W. Duch, P. Érdi, F. Masulli, G. Palm
Artificial Neural Networks and Machine Learning ICANN 2012, Part II 2012

Julian Szymański, W. Duch
Self Organizing Maps for categories visualization
Lect. Notes Comput. Sci. *7663*2012; 160 - 167

W. Duch
Autonomy requires creativity and meta-learning
Journal of Artificial General Intelligence *3*2012; 39 - 41

A.E.P. Villa, W. Duch, P. Érdi, , F. Masulli, G. Palm
Artificial Neural Networks and Machine Learning ICANN 2012, Part I 2012

W. Duch
Mind-Brain Relations, Geometric Perspective and Neurophenomenology
American Philosophical Association Newsletter *12*2012; 1 - 7

Julian Szymański, W. Duch
Context Search Algorithm for Lexical Knowledge Acquisition.
Control and Cybernetics *41*2012; 1 - 16


2011
K. Grąbczewski
Unified View of Decision Tree Learning Machines for the Purpose of Meta-learning 2011; 147 - 155

W. Duch, T. Maszczyk, M. Grochowski
Optimal Support Features for Meta-Learning 2011; 317 - 358

K. Grąbczewski
Separability of Split Value Criterion with Weighted Separation Gains
Lect. Notes Comput. Sci. *6871*2011; 88 - 98

M. Grochowski, W. Duch
Fast Projection Pursuit Based on Quality of Projected Clusters
Lect. Notes Comput. Sci. *6594*2011; 89 - 97

W. Duch, K. Dobosz
Attractors in Neurodynamical Systems 2011; 157 - 161

K. Grąbczewski, N. Jankowski
Saving time and memory in computational intelligence system with machine unification and task spooling
Knowledge-Based Systems *24*2011; 570 - 588

DOI: http://dx.doi.org/10.1016/j.knosys.2011.01.003

W. Duch, K. Dobosz
Visualization for Understanding of Neurodynamical Systems
Cognitive Neurodynamics *5*2011; 145 - 160

DOI: 10.1007/s11571-011-9153-1

K. Grąbczewski
Validated Decision Trees versus Collective Decisions
Lect. Notes Comput. Sci. *6923*2011; 342 - 351

N. Jankowski, K. Grąbczewski
Universal Meta-Learning Architecture and Algorithms 2011; 1 - 76

W. Duch
Neurodynamics and the mind 2011; 3227 - 3234

W. Duch
Free Will and the Brain: Are we automata? 2011; 155 - 170

R. Adamczak, Pillardy Jarosław, Vallat Brinda, J. Meller
Fast Geometric Consensus Approach for Protein Model Quality Assessment
J. Comput. Biol. *18*2011; 1807 - 1818

DOI: 10.1089/cmb.2010.0170

Blachnik Marcin, W. Duch
LVQ algorithm with instance weighting for generation of prototype-based rules
Neural Networks *24*2011; 824 - 830

Phatak M, R. Adamczak, Cao B, J. Meller
Solvent and Lipid Accessibility Prediction as a Basis for Model Quality Assessment in Soluble and Membrane Proteins
Curr. Protein Pept. Sci. *12(6)*2011; 563 - 573

Szymański Julian, W. Duch
Induction of the common-sense hierarchies in lexical data
Lect. Notes Comput. Sci. *7063*2011; 726 - 734

W. Duch, Dobosz Krzysztof
Attractors in Neurodynamical Systems 2011; 157 - 161

Guang Lan Zhang, Hifzur Rahman Ansari, Phil Bradley, Gavin C. Cawley, Tomer Hertz, Xihao Hu, Jim C. Huang, Nebojsa Jojic, Yohan Kim, Oliver Kohlbacher, Ole Lund, Claus Lundegaard, Craig A. Magaret, Morten Nielsen, Harris Papadopoulos, G. P. S. Raghava, Vider-Shalit Tal, Li C. Xue, Chen Yanover, Hao Zhang, Shanfeng Zhu, Michael T. Rock, James E. Crowe Jr., Christos Panayiotou, Marios M. Polycarpou, W. Duch, Vladimir Brusic
Machine Learning Competition in Immunology – Prediction of HLA class I molecules
J.of Immunological Methods *374*2011; 1 - 4

W. Duch, Dobosz Krzysztof
Visualization for Understanding of Neurodynamical Systems
Cognitive Neurodynamics *5*2011; 145 - 160


2010
Karthikeyan Swaminathan, R. Adamczak, Aleksey Porollo, J. Meller
Enhanced prediction of conformational flexibility and phosphorylation in proteins.
Adv. Exp. Med. Biol. *680*2010; 307 - 319

T. Maszczyk, W. Duch
Support Feature Machine for DNA Microarray Data
Lect. Notes Comput. Sci. *6086*2010; 178 - 186

T. Maszczyk, W. Duch
Almost Random Projection Machine with Margin Maximization and Kernel Features
Lect. Notes Comput. Sci. *6353*2010; 40 - 48

dr Karol Grudziński, M. Grochowski, W. Duch
Pruning Classification Rules with Reference Vector Selection Methods
Lect. Notes Comput. Sci. *6113*2010; 347 - 354

T. Maszczyk, W. Duch
Triangular visualization
Lect. Notes Comput. Sci. *6113*2010; 445 - 452

K. Dobosz, W. Duch
Understanding Neurodynamical Systems via Fuzzy Symbolic Dynamics
Neural Networks *23*2010; 487 - 496

DOI: 10.1016/j.neunet.2009.12.005

T. Maszczyk, M. Grochowski, W. Duch
Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks 2010; 467 - 484

K. Grąbczewski, N. Jankowski
Task Management in Advanced Computational Intelligence System
Lect. Notes Comput. Sci. *6113*2010; 331 - 338

N. Jankowski, K. Grąbczewski
Increasing efficiency of data mining systems by machine unification and double machine cache
Lect. Notes Comput. Sci. *6113*2010; 380 - 387


2009
M. Grochowski, W. Duch
Constructive Neural Network Algorithms that Solve Highly Non-Separable Problems 2009; 49 - 70

W. Duch, T. Maszczyk
Almost random projection machine
Lect. Notes Comput. Sci. *5768*2009; 789 - 798

W. Duch, T. Maszczyk
Universal learning machines
Lect. Notes Comput. Sci. *5864*2009; 206 - 215

M. Grochowski, W. Duch
Constrained Learning Vector Quantization or Relaxed k-separability
Lect. Notes Comput. Sci. *5768*2009; 151 - 160


2008
K. Dobosz, W. Duch
Fuzzy Symbolic Dynamics for Neurodynamical Systems 2008; 471 - 478

M. Grochowski, W. Duch
A Comparison of Methods for Learning of Highly Non-Separable Problems
Lect. Notes Comput. Sci. *5097*2008; 566 - 577

W. Duch
Review of: Robot Brains. Circuits and Systems for Conscious Machines, book by Pentti O. Haikonen (Wiley 2007)
IEEE Trans/ Neural Net. *19(5)*2008; 925 - 926

T. Maszczyk, W. Duch
Support Vector Machines for visualization and dimensionality reduction
Lect. Notes Comput. Sci. *5163*2008; 346 - 356

T. Maszczyk, W. Duch
Comparison of Shannon, Renyi and Tsallis Entropy used in Decision Trees
Lect. Notes Comput. Sci. *5097*2008; 643 - 651

M. Grochowski, W. Duch
Projection Pursuit Constructive Neural Networks Based on Quality of Projected Clusters
Lect. Notes Comput. Sci. *5164*2008; 754 - 762


2007
M. Grochowski, W. Duch
Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network"
Lect. Notes Comput. Sci. *4668*2007; 180 - 189


2004
N. Jankowski, M. Grochowski
Comparison of Instances Seletion Algorithms I. Algorithms Survey.
Lect. Notes Comput. Sci. *3070*2004; 598 - 603

M. Grochowski, N. Jankowski
Comparison of Instance Selection Algorithms II. Results and Comments.
Lect. Notes Comput. Sci. *3070*2004; 580 - 585

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