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 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, Marek Śmieja, Jacek Tabor SVM with a neutral class, PATTERN ANAL APPL (2018), 17
Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński A machine learning approach to synchronization of automata, EXPERT SYST APPL (2018), 357-371

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
Bernhard C. Geiger, Marek Śmieja Semi-supervised cross-entropy clustering with information bottleneck constraint, INFORM SCIENCES vol. 421 (2017), 245-271
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
Łukasz Struski, Marek Śmieja, Jacek Tabor Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2017), 146-157
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)
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ..., Understanding Synthetic Gradients and Decoupled Neural Interfaces, ICML 2017 (2017)
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ..., Distral: Robust Multitask Reinforcement Learning, NIPS 2017 (2017)
Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),
Rafał Kafel, Marek Śmieja, Dawid Warszycki Practical application of the Average Information Content Maximization (AIC-MAX) algorithm – selection of the most important structural features for serotonin receptor ligands, MOL DIVERS vol. 21/2 (2017), 407-412
Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek, Marek Śmieja, Jacek Tabor R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński A Study on Topological Descriptors for the Analysis of 3D Surface Texture, COMPUT VIS IMAGE UND (2017),
Marek Śmieja, Magdalena Wiercioch Constrained clustering with a complex cluster structure, ADV DATA ANAL CLASSI vol. 11/3 (2017), 493-518
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (2017),
Dariusz Michalski, Zbisław Tabor, Bartosz Zieliński Determining the shift of a bronchoscope catheter from the analysis of a video sequence of a bronchoscope video camera, BIOCYBERN BIOMED ENG vol. 37 (4) (2017), 630-636
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 Dalibard, S Osindero, WM Czarnecki, J Donahue, ..., Population Based Training of Neural Networks, arXiv preprint arXiv:1711.09846 (2017)
K Janocha, WM Czarnecki, On Loss Functions for Deep Neural Networks in Classification, arXiv preprint arXiv:1702.05659 (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

Marek Śmieja, Dawid Warszycki Average Information Content Maximization - a new approach for fingerprint hybridization and reduction, PLOS ONE vol. 11/1 (2016), e0146666
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
Mateusz Babiuch, Marek Skomorowski, Bartosz Zieliński RoughCut-New Approach to Segment High-Resolution Images, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 9693 (2016), 591-601
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński Topological Descriptors for 3D Surface Analysis, LECTURE NOTES IN COMPUTER SCIENCE vol. 9667 (2016), 77-87
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
Szymon Nakoneczny, Marek Śmieja Natural language processing methods in biological activity prediction, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2016), 25-36
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, arXiv preprint arXiv:1611.06310 (2016)
Agata Dróżdż, Marzena Frołow, Bartosz Zieliński Fully-Automatic Method for Assessment of Flow-Mediated Dilation, LECTURE NOTES IN COMPUTER SCIENCE vol. 9972 (2016), 439-450
Szymon Nakoneczny, Marek Śmieja, Jacek Tabor Fast entropy clustering of sparse high dimensional binary data, PROCEEDNIGS OF IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN 2016) (2016), 2397-2404
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

2015

Wojciech Czarnecki Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE COMPUT INTELL M vol. 10 (3) (2015), 19-29
Marek Śmieja, Jacek Tabor Entropy approximation in lossy source coding problem, ENTROPY-SWITZ vol. 17/5 (2015), 3400-3418
Mariusz Korkosz, Marek Skomorowski, Karolina Sprężak, Wadim Wojciechowski, Bartosz Zieliński Computer aided erosions and osteophytes detection based on hand radiographs, PATTERN RECOGN vol. 48 (2015), 2304-2317
Wojciech Czarnecki, Jacek Tabor Extreme entropy machines: robust information theoretic classification, PATTERN ANAL APPL (2015), 1-18
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
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, 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
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
Marek Śmieja Weighted approach to general entropy function, IMA J MATH CONTROL I vol. 32/2 (2015), 329-327
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
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
Marek Śmieja, Magdalena Wiercioch Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE (2015),
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, Jacek Tabor Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 9284 (2015), 52-67
Marek Skomorowski, Bartosz Zieliński Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 403 (2015), 511-519
Marek Śmieja Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
Marek Śmieja, Jacek Tabor, Magdalena Wiercioch Probability Index of Metric Correspondence as a measure of visualization reliability, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 16-27
Marek Śmieja, Jacek Tabor Spherical Wards clustering and generalized Voronoi diagrams, PROCEEDING OF IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS vol. 36678 (2015), 10

2014

Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki Asymmetric Clustering Index in a case study of 5-HT1A receptor ligands, PLOS ONE vol. 9(7) (2014), e102069
Wojciech Czarnecki, Jacek Tabor Two ellipsoid Support Vector Machines, EXPERT SYST APPL vol. 41 (18) (2014), 8211-8224
Krzysztof Misztal, Przemysław Spurek, Marek Śmieja Subspaces Clustering Approach to Lossy Image Compression, LECTURE NOTES IN COMPUTER SCIENCE vol. 8838 (2014), 571-579
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
WM Czarnecki, J Tabor, Cluster based RBF Kernel for Support Vector Machines, arXiv preprint arXiv:1408.2869 (2014)
Marek Śmieja, Jacek Tabor Renyi entropy dimension of the mixture of measures, PROCEEDINGS OF SCIENCE AND INFORMATION CONFERENCE (2014), 685-689
Agata Dróżdż, Marzena Frołow, Agata Kowalewska, Adam Roman, Bartosz Zieliński A new approach to automatic continuous artery diameter measurement , PROCEEDINGS OF THE 2014 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS vol. 2 (2014), 247–251
WM Czarnecki, InFeST–ImageJ Plugin for Rapid Development of Image Segmentation Pipelines, Man-Machine Interactions 3, 283-290 (2014)

2013

Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388
Marek Śmieja, Jacek Tabor Image segmentation with use of cross-entropy clustering, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 226 (2013), 403-409

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
Marek Śmieja, Jacek Tabor Entropy of the mixture of source and entropy dimension, IEEE T INFORM THEORY vol. 58(5) (2012), 2719-2728
Wadim Wojciechowski, Bartosz Zieliński Computer-based hand radiographs analysis for erosions and osteophytes detection, EUROPEAN CONGRESS OF RADIOLOGY PROCEEDINGS (2012), 13
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

Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Karolina Sprężak, Wadim Wojciechowski, Bartosz Zieliński A shape description language for osteophytes detection in upper surfaces of the metacarpophalangeal joints, COMPUTER RECOGNITION SYSTEMS 4, ADVANCES IN INTELLIGENT AND SOFT COMPUTING, SPRINGER (2011), 479-487
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zieliński Modified Jakubowski shape transducer for detecting osteophytes and erosions in finger joints, LECTURE NOTES IN COMPUTER SCIENCE vol. 6594 (2011), 147-155
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

Andrzej Bielecki, Mariusz Korkosz, Wadim Wojciechowski, Bartosz Zieliński Identifying the borders of the upper and lower metacarpophalangeal joints surfaces on hand radiographs, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 6113 (2010), 589-596
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
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zieliński Application of shape description methodology to hand radiographs interpretation, LECTURE NOTES IN COMPUTER SCIENCE vol. 6374 (2010), 11-18
Leszek Nowak, Bartosz Zieliński Global extremes analysis in applications of discrete tomography, BIO-ALGORITHMS AND MED-SYSTEMS vol. 6 (2010), 21-24

2009

Bartosz Zieliński Hand radiograph analysis and joint space location improvement for image interpretation, SCHEDAE INFORMATICAE vol. 17/18 (2009), 45-61
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
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
Marzena Bielecka, Marek Skomorowski, Bartosz Zieliński A fuzzy shape descriptor and inference by fuzzy relaxation with application to description of bones contours at hand radiographs, LECTURE NOTES IN COMPUTER SCIENCE vol. 5495 (2009), 469-478

2008

Andrzej Bielecki, Mariusz Korkosz, Bartosz Zieliński Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation, PATTERN RECOGN vol. 41 (2008), 3786-3798
Bartosz Zieliński Segmentacja i selekcja cech jako jeden z podstawowych problemów w rozpoznawaniu obrazów medycznych, KRAKOWSKI ROCZNIK KOGNITYWISTYCZNY vol. 2 (2008), 93-104

2007

Bartosz Zieliński A fully-automated algorithm dedicated to computing metacarpophalangeal and interphalangeal joint cavity widths, SCHEDAE INFORMATICAE vol. 16 (2007), 47-67

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