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

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)
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)
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)
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)
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ..., Kickstarting Deep Reinforcement Learning, arXiv preprint arXiv:1803.03835 (2018)

2017

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
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
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ..., Decoupled neural interfaces using synthetic gradients, ICML 2017 (2017)
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ..., Reinforcement learning with unsupervised auxiliary tasks, ICLR 2017 (2017)
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu, Sobolev Training for Neural Networks, NIPS 2017 (2017)
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ..., Distral: Robust Multitask Reinforcement Learning, NIPS 2017 (2017)
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ..., Understanding Synthetic Gradients and Decoupled Neural Interfaces, ICML 2017 (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
K Janocha, WM Czarnecki, On loss functions for deep neural networks in classification, TFML 2017 (2017)
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)
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (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)
A Pocha, K Misztal, P Morkisz, Short review of dimensionality reduction methods for failure detection, Schedae Informaticae 26, 69-78 (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),
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
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
K Kułakowski, P Kulczycki, K Misztal, A Dydejczyk, P Gronek, ..., Naming Boys after US Presidents in 20th Century., Acta Physica Polonica, A. 129 (5) (2016)
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, arXiv preprint arXiv:1611.06310 (2016)
Krzysztof Misztal, Jacek Tabor Ellipticity and circularity measuring via Kullback-Leibler divergence, J MATH IMAGING VIS vol. 55 (1) (2016), 136-150
Jakub Hyła, Krzysztof Misztal, Jacek Tabor Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem, LECTURE NOTES IN COMPUTER SCIENCE vol. 9842 (2016), 240-250
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

2015

Wojciech Czarnecki, Jacek Tabor Multithreshold Entropy Linear Classifier: Theory and Applications, EXPERT SYST APPL vol. 42 (2015), 5591-5606
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Robust optimization of SVM hyperparameters in the classification of bioactive compounds, J CHEMINFORMATICS vol. 7 (38) (2015), 15
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 Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE COMPUT INTELL M vol. 10 (3) (2015), 19-29
Wojciech Czarnecki, Jacek Tabor Extreme entropy machines: robust information theoretic classification, PATTERN ANAL APPL (2015), 1-18
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
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
Wojciech Czarnecki, Rafał Józefowicz Fast optimization of Multithreshold Entropy Linear Classifier, SCHEDAE INFORMATICAE vol. 23 (2015), 57–67
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
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)
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
W Czarnecki, Renyi's quadratic entropy in classification, (2015)
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
K Misztal, Detection and ecognition of the circular and elliptical patterns, (2015)
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, Jacek Tabor Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 9284 (2015), 52-67
Wojciech Czarnecki On the Consistency of Multithreshold Entropy Linear Classifier, SCHEDAE INFORMATICAE vol. 24 (2015), 123-132

2014

Wojciech Czarnecki, Jacek Tabor Two ellipsoid Support Vector Machines, EXPERT SYST APPL vol. 41 (18) (2014), 8211-8224
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
Krzysztof Misztal, Przemysław Spurek, Marek Śmieja Subspaces Clustering Approach to Lossy Image Compression, LECTURE NOTES IN COMPUTER SCIENCE vol. 8838 (2014), 571-579
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
Wojciech Czarnecki, Igor Podolak Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990
A Szczepański, K Misztal, K Saeed, Pupil and iris detection algorithm for near-infrared capture devices, IFIP International Conference on Computer Information Systems and Industrial… (2014)
WM Czarnecki, J Tabor, Cluster based RBF Kernel for Support Vector Machines, arXiv preprint arXiv:1408.2869 (2014)
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)
W Łużny, W Czarnecki, Application of genetic algorithms to model the structure of molecular crystals., Polimery 59 (2014)
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

2013

K Misztal, A Szczepanski, P Kocjan, K Saeed, J Tabor, Distribution estimation applied to face recognition as a simple and robust solution, Biometrics and Kansei Engineering (ICBAKE), 2013 International Conference on… (2013)
Krzysztof Misztal, Jacek Tabor Strict verification of approximate midconvexity on non-convex sets, MATH INEQUAL APPL vol. 16 (2013), 389–400
Krzysztof Misztal, Jacek Tabor, Józef Tabor Midconvexity for finite sets, J INEQUAL APPL vol. 2013 (2013), 1-16
Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388
Krzysztof Misztal, Jacek Tabor, Józef Tabor Generalized midconvexity, BANACH CENTER PUBLICATIONS vol. 99 (2013), 207-215
Krzysztof Misztal, Jacek Tabor Mahalanobis distance-based algorithm for ellipse growing in iris preprocessing, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT LECTURE NOTES IN COMPUTER SCIENCE vol. 8104 (2013), 158-167
Krzysztof Misztal, Jacek Tabor Detection of elliptical shapes via cross-entropy clustering, PATTERN RECOGNITION AND IMAGE ANALYSIS LECTURE NOTES IN COMPUTER SCIENCE vol. 7887 (2013), 656-663
WM Czarnecki, K Szarzyński, A Wójtowicz, ʥ S C S ʥ LEGO NXT, (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

2012

A Szczepański, M Szczepański, K Misztal, E Kulikowska, Analysis of the abdominal blood oxygenation signal of premature born babies, International Conference on Computer Vision and Graphics, 649-656 (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)
Wojciech Czarnecki Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem, LECTURE NOTES IN COMPUTER SCIENCE (2012), 242-250
Krzysztof Misztal, Khalid Saeed, Jacek Tabor A new algorithm for rotation detection in iris pattern recognition, LECTURE NOTES IN COMPUTER SCIENCE vol. Computer Information Systems and Industrial Management, Volume 7564/2012 (2012), 135-145
Krzysztof Misztal, Jacek Tabor, Józef Tabor Approximately Midconvex Functions vol. Springer Optimization and Its Applications (2012), "Functional Equations in Mathematical Analysis", Springer Verlag (połaczony z Kluwer Academic Publishing)
Krzysztof Misztal, Emil Saeed, Khalid Saeed, Jacek Tabor Iris Pattern Recognition with a New Mathematical Model to its Rotation Detection vol. 1 (2012), "Biometrics and Kansei Engineering", Springer Verlag (połaczony z Kluwer Academic Publishing)
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),

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