Publikacje

2018
Aleksandra Mreła, A. Sokołow
Rankings of Students Based on Experts’ Assessment and Levels of the Likelihood of Learning Outcome Acquirement 2018; 67 - 88


2017
W. Duch
Why minds cannot be received, but are created by brains
SetF *5(2)*2017; 171 - 198

DOI: 10.12775/SetF.2017.014

dr Dariusz Mikołajewski, W. Duch
Pień mózgu. Przybliżenie aspektów medycznych dzięki modelowaniu biocybernetycznemu. 2017

K. Finc, K. Bonna, M. Lewandowska, T. Wolak, J. Nikadon, J. Dreszer, W. Duch, S. Kühn
Transition of the functional brain network related to increasing cognitive demands.
Hum. Brain Mapp. *38(7)*2017; 3659 - 3674

DOI: 10.1002/hbm.23621

S. Meszyński, A. Sokołow
Modeling of Complex Multiagent Behavior Using Matrix Representation
INTELLI 2017 *1*2017; 32 - 37

Aleksandra Mreła, A. Sokołow
Rankings of Students Based on Experts’ Assessment of Levels of Verification of Learning Outcomes by Test Items
ICTERI 2017 *1*2017; 289 - 302

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

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
J. Educ. Health Sport *6(5)*2016; 77 - 93

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

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

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

Antonyan Igor M., Roshin Yuri V., Zelensky Alexandr I., Moshel Fedor G., Nalbandian Taron A, A. Sokołow, Goriacha Veronica A., Ugryumova Kateryna M.
New opportunities for diagnosis and monitoring of patients with prostate diseases
Urologia *20(3)*2016; 74 - 83

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

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

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

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
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
J. Educ. Health Sport *5(2)*2015; 260 - 268

DOI: 10.5281/zenodo.16251

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

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
J. Educ. Health Sport *5(1)*2015; 221 - 240

DOI: 10.5281/zenodo.16252

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
J. Educ. Health Sport *5(3)*2015; 35 - 46

DOI: 10.5281

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

Mreła Aleksandra , A. Sokołow
Zastosowanie relacji rozmytych w procesie weryfikacji efektów kształcenia na przykładzie testu z matematyki 2015; 191 - 201

Mreła Aleksandra , A. Sokołow, Katafiasz Tomasz
Types of fuzzy relations' composition applied to valdation of learning outcomes at mathematics during final high school examination 2015; 119 - 132

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

DOI: 10.5281/zenodo.17495


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

A. Sokołow, K. Dobosz, Dreszer Joanna, Bałaj Bibianna, W. Duch, S. Grzelak, Komendziński Tomasz, Mikołajewski Dariusz, T. Piotrowski, Świerkocka Małgorzata, Weber Piotr
Intelligent emotions stabilization system using standardized images, breath sensor and biofeedback : new concept
CICARE 2014 *1*2014; 48 - 55

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

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

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

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

DOI: 978-3-319-09890-6

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

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 *1*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

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

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


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

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

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

W. Duch
Amuzja Wyobrażeniowa 2013; 243 - 266

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

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

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

A. Sokołow, Mazorchuk Maria, Dobriak Viktoria, Urbaniak Wiesław
Testing of the acquirement of student's general educational competence
Eduk. Tech. Inform. *4(1)*2013; 435 - 444

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, 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

W. Duch
Rule discovery. 2013; 1879 - 1883

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

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

W. Duch
Computational Creativity. 2013; 464 - 468


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


2011
A. Sokołow, Morozowa Olga, Urbaniak Wiesław
Methods for Refining Assessment of Test-Takers Based on Item Response Theory Model
TASK Quarterly *15(2)*2011; 191 - 202

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

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

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

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

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

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

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

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

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

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

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

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

DOI: 10.1007/s11571-011-9153-1

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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


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

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
Constructive Neural Network Algorithms that Solve Highly Non-Separable Problems 2009; 49 - 70


2008
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
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

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

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

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


1997
W. Duch
Why minds cannot be received, but are created by brains
SetF *5(2)*1997; 171 - 198

DOI: 10.12775/SetF.2017.014

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