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 Maciej Brzeski mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Maciej Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna

Main collaborators

prof. dr hab. Jacek Tabor
7
mgr Stanisław Jastrzębski
4
dr hab. Igor T. Podolak
2
mgr Damian Leśniak
2
dr Bartosz Zieliński
1
mgr Igor Sieradzki
1
dr Jarek Duda
1
dr Wojciech M. Czarnecki
Research and Teaching assistant http://wojciechczarnecki.com wojciech.czarnecki@uj.edu.pl
classification theory, active learning
room 2164
Currently on his sabbatical, working for

Papers

2017

K Janocha, WM Czarnecki, On Loss Functions for Deep Neural Networks in Classification, arXiv preprint arXiv:1702.05659 (2017)
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Jacek Tabor 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)
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ..., Reinforcement learning with unsupervised auxiliary tasks, ICLR 2017 (2017)
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ..., Understanding Synthetic Gradients and Decoupled Neural Interfaces, ICML 2017 (2017)
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, stat 1050, 17 (2017)
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ..., Decoupled neural interfaces using synthetic gradients, ICML 2017 (2017)

2016

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
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of deep networks, arXiv preprint arXiv:1611.06310 (2016)

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, 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
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
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
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
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
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
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
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)
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
Wojciech Czarnecki, Igor Podolak Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990

2013

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

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

0

Wojciech Czarnecki 2nd Workshop on Machine Learning in Life Sciences organized under European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015, ENGINE Centre, Wroclaw University of Technology, University of Porto, Porto, Portugalia, 2015-09-11 - 2015-09-11
Wojciech Czarnecki European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, University of Porto, Porto, Portugalia, 2015-09-07 - 2015-09-11
Łukasz Struski, Jarosław Duda, Wojciech Czarnecki, Anna Szczepanek, Mateusz Malik Theoretical Foundations of Machine Learning, Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty, Będlewo, Poland, 2015-02-16 - 2015-02-21
Bartosz Zieliński, Wojciech Czarnecki International Conference on Computer Recognition Systems, CORES 2015, Katedra Systemów i Sieci Komputerowych, Politechnika Wrocławska, Wrocław, Polska, 2015-05-25 - 2015-05-27
Wojciech Czarnecki The 14th International Conference on Artificial Intelligence and Soft Computing ICAISC 2015, Polskie Towarzystwo Sieci Neuronowych, Zakopane, Polska, 2015-06-14 - 2015-06-18
Wojciech Czarnecki The 1st IEEE International Workshop on Classification Problems Embedded in the Nature of Big Data held in conjunction with IEEE BigDataSE-15, ENGINE Centre, Wroclaw University of Technology, Aalto University, , Helsinki, Finlandia, 2015-08-20 - 2015-08-22
Wojciech Czarnecki 21st European Conference on Artificial Intelligence, GUARANT International, Praga, Czechy, 2014-08-18 - 2014-08-22

Contact Us

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