prof. dr hab. Jacek Tabor dr hab. Igor T. Podolak dr Jarek Duda dr Krzysztof Misztal dr hab. Adam Roman dr Marek Śmieja dr Przemysław Spurek dr Marcin Żelawski dr Bartosz Zieliński dr Łukasz Struski dr Wojciech M. Czarnecki
mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Maciej J. Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Piotr Kowenzowski mgr Łukasz Maziarka

2018

Przemysław Spurek, Łukasz Struski, Jacek Tabor Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
K Rataj, W Czarnecki, S Podlewska, A Pocha, AJ Bojarski, Substructural Connectivity Fingerprint and Extreme Entropy Machines—A New Method of Compound Representation and Analysis, Molecules 23 (6), 1242 (2018)
Krzysztof Byrski, Przemysław Spurek, Jacek Tabor Online updating of active function cross-entropy clustering, PATTERN ANAL APPL (2018),
WM Czarnecki, SM Jayakumar, M Jaderberg, L Hasenclever, YW Teh, ..., Mix&Match-Agent Curricula for Reinforcement Learning, ICML 2018 (2018)
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ..., Progress & Compress: A scalable framework for continual learning, ICML 2018 (2018)
P Spurek, J Tabor, M Śmieja, Fast independent component analysis algorithm with a simple closed-form solution, Knowledge-Based Systems (2018)
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt, Multi-task Deep Reinforcement Learning with PopArt, arXiv preprint arXiv:1809.04474 (2018)
P Spurek, P Rola, J Tabor, A Czechowski, ICA based on Split Generalized Gaussian, arXiv preprint arXiv:1802.05550 (2018)
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ..., Kickstarting Deep Reinforcement Learning, arXiv preprint arXiv:1803.03835 (2018)
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ..., Human-level performance in first-person multiplayer games with population-based deep reinforcement learning, arXiv preprint arXiv:1807.01281 (2018)
M Smieja, Ł Struski, J Tabor, B Zieliński, P Spurek, Processing of missing data by neural networks, arXiv preprint arXiv:1805.07405 (2018)
J Tabor, S Knop, P Spurek, I Podolak, M Mazur, S Jastrzębski, Cramer-Wold AutoEncoder, arXiv preprint arXiv:1805.09235 (2018)

2017

Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska Quo vadis G Protein-Coupled Receptor ligands? A tool for analysis of the emergence of new groups of compounds over time, BIOORG MED CHEM LETT vol. 27 (2017), 626-631
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński Deep learning approach to bacterial colony classification, PLOS ONE vol. 12 (9) (2017), 1-14
Przemysław Spurek General Split Gaussian Cross-Entropy Clustering, EXPERT SYST APPL vol. 68 (2017), 58–68
Krzysztof Byrski, Przemysław Spurek, Jacek Tabor Active Function Cross-Entropy Clustering, EXPERT SYST APPL vol. 72 (2017), 49–66
Przemysław Spurek, Marek Śmieja, Jacek Tabor SVM with a neutral class, PATTERN ANAL APPL (2017), 17
Ociepka Michał, Przemysław Rola, Przemysław Spurek, Jacek Tabor ICA based on asymmetry, PATTERN RECOGN vol. 67 (2017), 230-244
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ..., Reinforcement learning with unsupervised auxiliary tasks, ICLR 2017 (2017)
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ..., Distral: Robust Multitask Reinforcement Learning, NIPS 2017 (2017)
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ..., Decoupled neural interfaces using synthetic gradients, ICML 2017 (2017)
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ..., Understanding Synthetic Gradients and Decoupled Neural Interfaces, ICML 2017 (2017)
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu, Sobolev Training for Neural Networks, NIPS 2017 (2017)
Maciej Brzeski, Przemysław Spurek Uniform Cross-entropy Clustering, SCHEDAE INFORMATICAE vol. 25 (2017), 117-126
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (2017),
Krzysztof Hajto, Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek Split-and-merge Tweak in Cross Entropy Clustering, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT: 16TH IFIP TC8 INTERNATIONAL CONFERENCE (2017), 193 - 204
S Podlewska, WM Czarnecki, R Kafel, AJ Bojarski, Creating the new from the old: Combinatorial libraries generation with machine-learning-based compound structure optimization, Journal of chemical information and modeling 57 (2), 133-147 (2017)
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ..., Value-decomposition networks for cooperative multi-agent learning, AAMAS 2018 (2017)
K Janocha, WM Czarnecki, On loss functions for deep neural networks in classification, TFML 2017 (2017)
Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek, Marek Śmieja, Jacek Tabor R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ..., Population based training of neural networks, arXiv preprint arXiv:1711.09846 (2017)

2016

Yuliy Baryshnikov, Jarosław Duda, Wojciech Szpankowski Types of Markov Fields and Tilings, IEEE T INFORM THEORY vol. 62 Issue 8, Aug 2016 (2016), 4361 - 4375
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
Krzysztof Misztal, Michał Podgórski, Przemysław Spurek, Jacek Tabor, Arkadiusz Tomczyk Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation, LECTURE NOTES IN COMPUTER SCIENCE vol. 403 (2016), 159-168
Wiesław Pałka, Przemysław Spurek Clustering of Gaussian distributions, 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) vol. IEEE (2016), 3346--3353
Wojciech Czarnecki, Jacek Tabor Online Extreme Entropy Machines for Streams Classification and Active Learning, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 403 (2016), 371-381
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, arXiv preprint arXiv:1611.06310 (2016)
Edward Delp, Jarosław Duda, Neeraj Gadgil, Paweł Korus, Khalid Tahboub Image-Like 2D Barcodes Using Generalizations of the Kuznetsov–Tsybakov Problem, IEEE T INF FOREN SEC vol. volume 11 issue 4 (2016), 691-703
Przemysław Spurek, Jacek Tabor Maximum Likelihood Estimation and Optimal Coordinates, INTERNATIONAL CONFERENCE ON SYSTEMS SCIENCE, 2016 vol. Springer (2016), 3-13

2015

Andrzej Bojarski, Wojciech Czarnecki, Sabina Smusz, Dawid Warszycki Exploiting uncertainty measures in compounds activity prediction using support vector machines, BIOORG MED CHEM LETT vol. 25 (2015), 100-105
Wojciech Czarnecki, Jacek Tabor Multithreshold Entropy Linear Classifier: Theory and Applications, EXPERT SYST APPL vol. 42 (2015), 5591-5606
Wojciech Czarnecki, Jacek Tabor Extreme entropy machines: robust information theoretic classification, PATTERN ANAL APPL (2015), 1-18
Wojciech Czarnecki Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE COMPUT INTELL M vol. 10 (3) (2015), 19-29
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Robust optimization of SVM hyperparameters in the classification of bioactive compounds, J CHEMINFORMATICS vol. 7 (38) (2015), 15
Przemysław Spurek, Jacek Tabor, Mateusz Wójcik Cross-Entropy Clustering Approach to One-Class Classification, LECTURE NOTES IN COMPUTER SCIENCE vol. 9119 (2015), 481-490
Wojciech Czarnecki, Krzysztof Rataj Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM, IEEE TRUSTCOM/BIGDATASE/ISPA PROCEEDINGS vol. 2 (2015), 192-197
Wojciech Czarnecki, Stanisław Jastrzębski, Sabina Podlewska, Igor Sieradzki Active Learning of Compounds Activity - Towards Scientifically Sound Simulation of Drug Candidates Identification, PROCEEDINGS OF 2ND WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 40-51
Wojciech Czarnecki, Stanisław Jastrzębski Analysis of compounds activity concept learned by SVM using robust Jaccard based low-dimensional embedding, SCHEDAE INFORMATICAE vol. 24 (2015), 9-19
W Czarnecki, Renyi's quadratic entropy in classification, (2015)
Edward Delp, Jarosław Duda, Neeraj Gadgil, Khalid Tahboub The use of Asymmetric Numeral Systems as an accurate replacement for Huffman codin, PICTURE CODING SYMPOSIUM (PCS, PROCEEDINGS), 2015 vol. Picture Coding Symposium (PCS), 2015 (2015), 65-69
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
Przemysław Spurek, Łukasz Struski, Jacek Tabor Subspace memory clustering, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
J Tabor, P Spurek, K Kamieniecki, M Śmieja, K Misztal, Introduction to Cross-Entropy Clustering The R Package CEC, arXiv preprint arXiv:1508.04559 (2015)
Wojciech Czarnecki, Rafał Józefowicz, Jacek Tabor Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 9284 (2015), 52-67
Wojciech Czarnecki Adaptive Active Learning with Ensemble of Learners and Multiclass Problems, LECTURE NOTES IN COMPUTER SCIENCE vol. 9119 (2015), 415 - 426
Wojciech Czarnecki, Rafał Józefowicz Fast optimization of Multithreshold Entropy Linear Classifier, SCHEDAE INFORMATICAE vol. 23 (2015), 57–67
Krzysztof Misztal, Emil Saeed, Khalid Saeed, Przemysław Spurek, Jacek Tabor Cross entropy clustering approach to iris segmentation for biometrics purpose, SCHEDAE INFORMATICAE vol. 24 (2015), 31-40
Wojciech Czarnecki, Rafał Józefowicz Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features, JMLR: WORKSHOP AND CONFERENCE PROCEEDINGS vol. 46 (2015), 67-76
Wojciech Czarnecki On the Consistency of Multithreshold Entropy Linear Classifier, SCHEDAE INFORMATICAE vol. 24 (2015), 123-132
Mateusz Malik, Przemysław Spurek, Jacek Tabor Cross-Entropy based image thresholding, SCHEDAE INFORMATICAE vol. 24 (2015), 21-29

2014

Przemysław Spurek, Jacek Tabor Cross Entropy Clustering, PATTERN RECOGN vol. 47 (2014), 3046–3059
Wojciech Czarnecki, Jacek Tabor Two ellipsoid Support Vector Machines, EXPERT SYST APPL vol. 41 (18) (2014), 8211-8224
Wojciech Czarnecki, Krzysztof Szarzyński, Andrzej Wójtowicz Designing a competition for autonomous robots with a restricted set of sensors with case study of LEGO NXT, JOURNAL OF AUTOMATION, MOBILE ROBOTICS & INTELLIGENT SYSTEMS - JAMRIS (2014), 76-81
S Smusz, W Czarnecki, D Warszycki, AJ Bojarski, Uncertainty of the in vitro experiments in the construction of predictive models, GPCR Spring Conference 2014 (2014)
WM Czarnecki, InFeST–ImageJ Plugin for Rapid Development of Image Segmentation Pipelines, Man-Machine Interactions 3, 283-290 (2014)
Wojciech Czarnecki, Igor Podolak Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990
Edward Delp, Jarosław Duda, Neeraj Gadgil, Khalid Tahboub Generalizations of the Kuznetsov-Tsybakov problem for generating image-like 2D barcodes, IMAGE PROCESSING (ICIP), 2014 IEEE INTERNATIONAL CONFERENCE ON vol. Image Processing (ICIP), 2014 IEEE International Conference on (2014), 4221 - 4225
Yuliy Baryshnikov, Jarosław Duda, Wojciech Szpankowski Markov Fields Types and Tilings, INFORMATION THEORY (ISIT), 2014 IEEE INTERNATIONAL SYMPOSIUM ON vol. Information Theory (ISIT), 2014 IEEE International Symposium on (2014), 2639 - 2643
Krzysztof Misztal, Przemysław Spurek, Marek Śmieja Subspaces Clustering Approach to Lossy Image Compression, LECTURE NOTES IN COMPUTER SCIENCE vol. 8838 (2014), 571-579
Alena Chaikouskaya, Przemysław Spurek, Jacek Tabor, Elżbieta Zając A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT vol. 8838 (2014), 559-570
W Łużny, W Czarnecki, Application of genetic algorithms to model the structure of molecular crystals., Polimery 59 (2014)
Przemysław Spurek, Elżbieta Zając Metody analizy mikroskopowych obrazów warstw C-Pd, (2014), "Świat nanotechnologii. Warstwy nanokompozytowe węglowo-palladowe. Badania i technologia", Wydawnictwa Uniwersytetu Warszawskiego
WM Czarnecki, J Tabor, Cluster based RBF Kernel for Support Vector Machines, arXiv preprint arXiv:1408.2869 (2014)

2013

Przemysław Spurek, Jacek Tabor The memory center, INFORM SCIENCES vol. 252 (2013), 132–143
Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388
P Spurek, J Tabor, Optimal Rescaling and the Mahalanobis Distance, arXiv preprint arXiv:1306.2004 (2013)
Krzysztof Misztal, Przemysław Spurek, Jacek Tabor Weighted Approach to Projective Clustering, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT LECTURE NOTES IN COMPUTER SCIENCE vol. 8104 (2013), 367-378
Przemysław Spurek, Jacek Tabor, Elżbieta Zając Detection of Disk-Like Particles in Electron Microscopy Images, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 226 (2013), 411-417
WM Czarnecki, K Szarzyński, A Wójtowicz, ʥ S C S ʥ LEGO NXT, (2013)

2012

Z Vetulani, E Geoffrois, W Czarnecki, B Kochanowski, Language Resources for Public Security Applications: Needs and Specificities, Language Resources and Evaluation Conference 2011 - Language Resources for… (2012)
Jarosław Duda From Maximal Entropy Random Walk to quantum thermodynamics, JOURNAL OF PHYSICS: CONFERENCE SERIES, VOLUME 361, CONFERENCE 1 vol. Journal of Physics: Conference Series, Volume 361, conference 1 (2012),
Wojciech Czarnecki Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem, LECTURE NOTES IN COMPUTER SCIENCE (2012), 242-250
Przemysław Spurek, Jacek Tabor Numerical verification of condition for approximately midconvex functions, AEQUATIONES MATH vol. 83 (2012), 223-237

2011

K Misztal, P Spurek, J Tabor, k-means Approach to the Karhunen-Love Transform, arXiv preprint arXiv:1109.3994 (2011)

2010

W Czarnecki, S Gburek, M Smiatacz, Fast distance vector field extraction for facial feature detection, International Conference on Computer Vision and Graphics, 300-307 (2010)

Contact Us

Igor Podolak, PhD
Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland