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

Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński A Study on Topological Descriptors for the Analysis of 3D Surface Texture, COMPUT VIS IMAGE UND vol. 167 (2018), 74-88
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)
Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński A machine learning approach to synchronization of automata, EXPERT SYST APPL (2018), 357-371
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)
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ..., Kickstarting Deep Reinforcement Learning, NIPS 2018 DL Workshop (2018)
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt, Multi-task deep reinforcement learning with popart, AAAI 2019 (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)
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) (2018),
Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński Label-free FTIR spectroscopy detects and visualizes the early stage of pulmonary micrometastasis seeded from breast carcinoma, BBA-MOL BASIS DIS (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
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu, Sobolev Training for Neural Networks, NIPS 2017 (2017)
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ..., Decoupled neural interfaces using synthetic gradients, ICML 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)
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),
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)
Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ..., Value-decomposition networks for cooperative multi-agent learning, AAMAS 2018 (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, TFML 2017 (2017)

2016

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
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
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural networks, arXiv preprint arXiv:1611.06310 (2016)
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński Topological Descriptors for 3D Surface Analysis, LECTURE NOTES IN COMPUTER SCIENCE vol. 9667 (2016), 77-87
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

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 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
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, Jacek Tabor Multithreshold Entropy Linear Classifier: Theory and Applications, EXPERT SYST APPL vol. 42 (2015), 5591-5606
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
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
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 Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features, JMLR: WORKSHOP AND CONFERENCE PROCEEDINGS vol. 46 (2015), 67-76
W Czarnecki, Renyi's quadratic entropy in classification, (2015)
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 Analysis of compounds activity concept learned by SVM using robust Jaccard based low-dimensional embedding, SCHEDAE INFORMATICAE vol. 24 (2015), 9-19
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
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

2014

Wojciech Czarnecki, Jacek Tabor Two ellipsoid Support Vector Machines, EXPERT SYST APPL vol. 41 (18) (2014), 8211-8224
WM Czarnecki, J Tabor, Cluster based RBF Kernel for Support Vector Machines, arXiv preprint arXiv:1408.2869 (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
W Łużny, W Czarnecki, Application of genetic algorithms to model the structure of molecular crystals., Polimery 59 (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)
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
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

2013

Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388
WM Czarnecki, K Szarzyński, A Wójtowicz, ʥ S C S ʥ LEGO NXT, (2013)

2012

Wadim Wojciechowski, Bartosz Zieliński Computer-based hand radiographs analysis for erosions and osteophytes detection, EUROPEAN CONGRESS OF RADIOLOGY PROCEEDINGS (2012), 13
Wojciech Czarnecki Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem, LECTURE NOTES IN COMPUTER SCIENCE (2012), 242-250
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)

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

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
Leszek Nowak, Bartosz Zieliński Global extremes analysis in applications of discrete tomography, BIO-ALGORITHMS AND MED-SYSTEMS vol. 6 (2010), 21-24
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
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)

2009

Bartosz Zieliński Hand radiograph analysis and joint space location improvement for image interpretation, SCHEDAE INFORMATICAE vol. 17/18 (2009), 45-61
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

Contact Us

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