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 Wojciech M. Czarnecki
mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Maciej Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Piotr Kowenzowski mgr Łukasz Maziarka

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
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ..., Understanding Synthetic Gradients and Decoupled Neural Interfaces, ICML 2017 (2017)
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ..., Decoupled neural interfaces using synthetic gradients, ICML 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)
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ..., Reinforcement learning with unsupervised auxiliary tasks, ICLR 2017 (2017)
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (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)
K Janocha, WM Czarnecki, On Loss Functions for Deep Neural Networks in Classification, arXiv preprint arXiv:1702.05659 (2017)
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ..., Population Based Training of Neural Networks, arXiv preprint arXiv:1711.09846 (2017)
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ..., Value-Decomposition Networks For Cooperative Multi-Agent Learning, arXiv preprint arXiv:1706.05296 (2017)

2016

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
Andrzej Gryglewski, Brandon Michael Henry, Marian Mrozek, Krzysztof Piech, Krzysztof Tomaszewski, Marcin Żelawski Sensitivity and Specificity of Fractal Analysis to Distinguish Between Healthy and Pathologic Rectal Mucosa Microvasculature Seen During Colonoscopy, SURG LAPARO ENDO PER vol. 26(5) (2016), 358–363
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
Phong B. Dao, Tomasz Barszcz, Wiesław J. Staszewski, Konrad Żołna Towards homoscedastic nonlinear cointegration for structural health monitoring, MECH SYST SIGNAL PR vol. 2016 (2016), 15
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, arXiv preprint arXiv:1611.06310 (2016)

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
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Robust optimization of SVM hyperparameters in the classification of bioactive compounds, J CHEMINFORMATICS vol. 7 (38) (2015), 15
Wojciech Czarnecki, Jacek Tabor Multithreshold Entropy Linear Classifier: Theory and Applications, EXPERT SYST APPL vol. 42 (2015), 5591-5606
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
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, 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
Kajetan Dziedzich, Piotr Kijanka, Łukasz Pieczonka, Wiesław J. Staszewski, Konrad Żołna Statistical Analysis for Piezo-based Structural Damage Detection using Enhanced Nonlinearcrack-wave Interactions, PROCEEDINGS OF 7TH ECCOMAS THEMATIC CONFERENCE ON SMART STRUCTURES AND MATERIALS SMART 2015 vol. IDMEC 2015 (2015), 10
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 Adaptive Active Learning with Ensemble of Learners and Multiclass Problems, LECTURE NOTES IN COMPUTER SCIENCE vol. 9119 (2015), 415 - 426
Phong B. Dao, Tomasz Barszcz, Wiesław J. Staszewski, Konrad Żołna Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines, MATH PROBL ENG vol. 2015 (2015), 11
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, 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)
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
Wojciech Czarnecki, Rafał Józefowicz Fast optimization of Multithreshold Entropy Linear Classifier, SCHEDAE INFORMATICAE vol. 23 (2015), 57–67
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
Wojciech Czarnecki, Igor Podolak Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990
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
WM Czarnecki, InFeST–ImageJ Plugin for Rapid Development of Image Segmentation Pipelines, Man-Machine Interactions 3, 283-290 (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)

2013

Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388

2012

Andrzej Gryglewski, Andrzej Krajniak, Marian Mrozek, Han Sejin, Marcin Żelawski Homological methods for extraction and analysis of linear features in multidimensional images, PATTERN RECOGN vol. 45(1) (2012), 285-298
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

2011

Tomasz Baron, Marcin Cwynar, Tomasz Grodzicki, Barbara Gryglewska, Marian Mrozek, Mirosław Nęcki, Marcin Żelawski Fractal dimensions of skin microcirculation flow in subjects with familial predisposition or newly diagnosed hypertension, CARDIOLOGY JOURNAL, FORMERLY FOLIA CARDIOLOGICA vol. 18, No. 1 (2011), 26-32

2010

Tomasz Grodzicki, Barbara Gryglewska, Mirosław Nęcki, Marcin Żelawski Entropy of skin microcirculation flow in subjects with familial predisposition or newly diagnosed hypertension, CARDIOVASCULAR RESEARCH vol. 87 (2010), S54-S54

2009

Andrzej Gryglewski, Andrzej Krajniak, Marian Mrozek, Han Sejin, Marcin Żelawski Homological Methods in Feature Extraction of Multidimensional Images, PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, IEEE (2009), 1061-1066
Marcin Żelawski Detecting Pathologies with Homology Algorithms in Magnetic Resonance Images of Brain, MACHINE GRAPHICS & VISION: INTERNATIONAL JOURNAL vol. 18, No. 3 (2009), 253-266

2005

Marcin Żelawski Pattern Recognition Based on Homology Theory, MACHINE GRAPHICS & VISION: INTERNATIONAL JOURNAL vol. 14, No. 3 (2005), 309-324

Contact Us

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