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 J. Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Piotr Kowenzowski mgr Łukasz Maziarka

2018

Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński A machine learning approach to synchronization of automata, EXPERT SYST APPL (2018), 357-371
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)
A Roman, K Zmitrowicz, Inżynieria wymagań: studium przypadkw, Warszawa: Wydawnictwo Naukowe PWN (2018)
A Roman, Testing Strategies: How to Become a Better Tester?, Thinking-Driven Testing, 53-97 (2018)
A Roman, Testing Techniques, Thinking-Driven Testing, 181-224 (2018)
J Tabor, S Knop, P Spurek, I Podolak, M Mazur, S Jastrzębski, Cramer-Wold AutoEncoder, arXiv preprint arXiv:1805.09235 (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)
A Roman, Thinking-Driven Testing: A Universal Testing Framework, Thinking-Driven Testing, 99-143 (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)
A Roman, TQED Model, Thinking-Driven Testing, 145-179 (2018)
D Leśniak, I Sieradzki, I Podolak, On Latent Distributions Without Finite Mean in Generative Models, arXiv preprint arXiv:1806.01670 (2018)
Adam Roman Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control, (2018), Springer Verlag (połaczony z Kluwer Academic Publishing)
Adam Roman Testowanie i jakość oprogramowania. Modele, techniki, narzędzia (wyd. 2 poszerzone), (2018), PWN
A Roman, Fundamentals of Software Testing, Thinking-Driven Testing, 1-52 (2018)
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ..., Kickstarting Deep Reinforcement Learning, arXiv preprint arXiv:1803.03835 (2018)
A Roman, Thinking-Driven Testing: The Most Reasonable Approach to Quality Control, Springer (2018)
A Roman, Testing Pitfalls and How to Avoid Them, Thinking-Driven Testing, 225-247 (2018)
A Roman, Kata and Exercises for Testers, Thinking-Driven Testing, 249-271 (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
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)
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)
A Roman, K Zmitrowicz, Testowanie oprogramowania w praktyce: studium przypadkw, Warszawa: Wydawnictwo Naukowe PWN (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),
Adam Roman Testowanie w praktyce. Studium przypadków 2.0., (2017), PWN
Adam Roman Data Validation Using Model-Based Testing and Finite Automata Synchronization, AIP CONFERENCE PROCEEDINGS 1836 (2017), 020007
Jakub Kowalski, Adam Roman A New Evolutionary Algorithm for Synchronization vol. LNCS 10199 (2017), "Applications of Evolutionary Computation", Springer Verlag (połaczony z Kluwer Academic Publishing)
K Janocha, WM Czarnecki, On loss functions for deep neural networks in classification, TFML 2017 (2017)
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ..., Population based training of neural networks, arXiv preprint arXiv:1711.09846 (2017)
Adam Roman Inżynieria wymagań w praktyce. Studium przypadków, (2017), PWN

2016

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
Maciej Chmielarz, Adam Roman, Lucjan Stapp Postgraduate Studies on Software Testing in Poland, SOFTWARE ENGINEERING: IMPROVING PRACTICE THROUGH RESEARCH (2016), 177-186
Rafał Babiarz, Adam Roman Dynamic Stylometry for Defect Prediction, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING (2016), 91-102
Adam Roman, Karolina Zmitrowicz Testowanie w praktyce. Studium przypadków (redakcja), (2016), PWN
Michał Mnich, Adam Roman, Piotr Wawrzyniak Mutation churn model, SCHEDAE INFORMATICAE vol. 25 (2016), 227-236
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
Adam Roman, Vojtech Vorel Complexity of road coloring with prescribed reset words, J COMPUT SYST SCI (2016), 30
G Swirszcz, WM Czarnecki, R Pascanu, Local minima in training of neural 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 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
Adam Roman, Marek Szykuła Forward and backward synchronizing algorithms, EXPERT SYST APPL vol. 42(24) (2015), 9512-9527
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska Extremely Randomized Machine Learning Methods for Compound Activity Prediction, MOLECULES vol. 20 (11) (2015), 20107-20117
Adam Roman Testowanie i jakość oprogramowania. Modele, techniki, narzędzia, (2015), PWN
Adam Roman, Vojtech Vorel Parameterized Complexity of Synchronization and Road Coloring, DISCRETE MATH THEOR vol. 17(1) (2015), 307-330
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
Adam Roman Programista jako tester, COMPUTERWORLD (2015), 24-25
Adam Roman Testowanie i analiza mutacyjna, PROGRAMISTA vol. 6(37) (2015), 52-55
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
Mateusz Drewienkowski, Adam Roman A complete solution to the complexity of Synchronizing Road Coloring for non-binary alphabets, INFORM COMPUT vol. 242 (2015), 383-393
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
Adam Roman, Vojtech Vorel Complexity of Road Coloring with Prescribed Reset Words, LECTURE NOTES IN COMPUTER SCIENCE vol. 8977 (2015), 161-172
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
Adam Roman Testowanie eksploracyjne - cudowny lek czy zwykłe placebo?, SOFTWARE DEVELOPER'S JOURNAL (2014), 4-15
Wojciech Czarnecki, Igor Podolak Adaptive Active Learning as a Multi-armed Bandit Problem, FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS vol. 263 (2014), 989-990
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, 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

Igor Podolak, Adam Roman Theoretical foundations and practical results for a hierarchical classifier with overlapping clusters, COMPUT INTELL-US (2013), 357-388
Stanisław Jastrzębski, Igor Podolak Density Invariant Detection of Osteoporosis Using Growing Neural Gas, PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013 vol. Springer International Publishing (2013), 629-638
Wojciech Czarnecki, Igor Podolak Machine Learning with Known Input Data Uncertainty Measure, LECTURE NOTES IN COMPUTER SCIENCE (2013), 379-388
Kamil Bartocha, William Beckler, Krzysztof Osiewalski, Adam Roman lastminute.com’s 12-week geo-experiment reveals a 43% uplift in Google AdWords values, GOOGLE ADWORDS BLOG, ADWORDS.BLOGSPOT.COM (2013), 3
WM Czarnecki, K Szarzyński, A Wójtowicz, ʥ S C S ʥ LEGO NXT, (2013)
IT Podolak, A Roman, Theoretical foundations and experimental results for a hierarchical classifier with overlapping clusters, Computational Intelligence 29 (2), 357-388 (2013)

2012

Rafał Kudłacik, Adam Roman, Hubert Wagner Effective synchronizing algorithms, EXPERT SYST APPL vol. 39 (2012), 11746-11757
Dariusz Jędrzejczyk, Igor Podolak, Adam Roman Application of Hierarchical Classifier to Minimal Synchronizing Word problem, LECTURE NOTES IN COMPUTER SCIENCE vol. 7267 (2012), 421-429
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
Adam Roman P--NP threshold for the Synchronizing Road Coloring, LECTURE NOTES IN COMPUTER SCIENCE vol. 7183 (2012), 482-492
A Roman, P–NP threshold for synchronizing road coloring, International Conference on Language and Automata Theory and Applications… (2012)
IT Podolak, Hierarchiczny klasyfikator z nakładającymi się grupami klas, Wydawnictwo Uniwersytetu Jagiellońskiego WUJ (2012)
Adam Roman O 'Epistemologii' Jana Woleńskiego - spojrzenie matematyka, DIAMETROS - AN ONLINE JOURNAL OF PHILOSOPHY (2012), 175-188

2011

Stanisław Brodowski, Igor Podolak Hierarchical Estimator, EXPERT SYST APPL vol. 38 (2011), 12237–12248
IT Podolak, A Roman, CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem, Pattern Analysis and Applications 14 (4), 395-413 (2011)
Igor Podolak, Adam Roman Risk function estimation for subproblems in a hierarchical classifier, PATTERN RECOGN LETT vol. 32(15) (2011), 2136-2142
Igor Podolak, Adam Roman Fusion of supervised and unsupervised training methods for a multi-class classification problem, PATTERN ANAL APPL vol. 14(4) (2011), 395-413
K Bartocha, IT Podolak, Classifier Ensembles for Virtual Concept Drift–The DEnBoost Algorithm, International Conference on Hybrid Artificial Intelligence Systems, 164-171 (2011)
Agnieszka Mielniczek (Deszyńska), Igor Podolak, Adam Roman On the number of clusterings in a hierarchical classification model with overlapping clusters, SCHEDAE INFORMATICAE vol. 20 (2011), 137-157
Igor Podolak, Adam Roman Risk estimation for hierarchical classifier, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 6678 (2011), 156-163
A Roman, The NP-completeness of the road coloring problem, Information Processing Letters 111 (7), 342-347 (2011)
Maria Foryś, Adam Roman Zbiór zadań z teorii języków formalnych i automatów, (2011), Wydawnictwo Uniwersytetu Jagiellońskiego
Adam Roman NP-completeness of the Road Coloring Problem, INFORM PROCESS LETT vol. 111 (2011), 342-347
Krzysztof Chmiel, Adam Roman COMPAS - a computing package for synchronization, LECTURE NOTES IN COMPUTER SCIENCE vol. 6482 (2011), 79-86

2010

Adam Roman Experiments on synchronizing automata, SCHEDAE INFORMATICAE vol. 19 (2010), 35-51
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

IT Podolak, K Bartocha, A hierarchical classifier with growing neural gas clustering, International Conference on Adaptive and Natural Computing Algorithms, 283-292 (2009)
A Roman, Synchronizing finite automata with short reset words, Applied Mathematics and Computation 209 (1), 125-136 (2009)
Kamil Bartocha, Igor Podolak Hierarchical Classifier with Growing Neural Gas clustering, LECTURE NOTES IN COMPUTER SCIENCE vol. 5495 (2009), 283-292
Igor Podolak, Adam Roman A new notion of weakness in classification theory vol. 57 (2009), "Advances in Intelligent and Soft Computing", Springer Verlag (połaczony z Kluwer Academic Publishing)
Adam Roman Synchronizing Finite Automaton with Short Reset Words, APPL MATH COMPUT vol. 209 (2009), 125-136
Adam Roman Decision Version of the Road Coloring Problem is NP-complete, LECTURE NOTES IN COMPUTER SCIENCE vol. 5699 (2009), 287-297
Adam Roman Genetic Algorithm for Synchronization, LECTURE NOTES IN COMPUTER SCIENCE vol. 5457 (2009), 684-695

2008

Igor Podolak Hierarchical classifier with overlapping class groups, EXPERT SYST APPL vol. 1 (2008), 673-682
A Roman, A note on Černy conjecture for automata over 3-letter alphabet, Journal of Automata, Languages and Combinatorics 13 (2), 141-143 (2008)
Wit Foryś, Adam Roman Lower bound for the length of synchronizing words in partially-synchronizing automata, LECTURE NOTES IN COMPUTER SCIENCE vol. 4910 (2008), 448 - 459
Bartosz Bierkowski, Piotr Kalita, Igor Podolak, Adam Roman Algorithm for intelligent prediction of requests in business systems, LECTURE NOTES IN COMPUTER SCIENCE vol. 4910 (2008), 696-707

2007

A Roman, Two Simple Methods for Obtaining New Classes of Automata Fulfilling ˇCern Conjecture, Schedae Informaticae 16 (2007)
IT Podolak, Hierarchical rules for a hierarchical classifier, International Conference on Adaptive and Natural Computing Algorithms, 749-757 (2007)

2006

A Roman, Merging states and synchronization problem, Schedae Informaticae 15, 95-108 (2006)

2005

A Roman, New Algorithms for Finding Short Reset Sequences in Synchronizing Automata., IEC (Prague), 13-17 (2005)
H Telega, I Podolak, Hill Crunching Clustered Genetic Search and its Improvements, Wyższa Szkoła Biznesu–National-Louis University (2005)

2004

I Podolak, U Demšar, Discovering structure in geographical metadata, Proceedings of the 12th conference in Geoinformatics, 1-7 (2004)
A Bielecki, IT Podolak, M Bielecka, Neuronal algorithm of nonlinear regression, Schedae Informaticae 13 (2004)
A Roman, The proposal of Algorithmic Turing Test, (2004)

2003

IT Podolak, A Bielecki, A neural system of phonematic transformation, Task Quarterly 7 (1), 115-130 (2003)
BA Podolak I.T., A neuronal system for phonematic transformation, TASK Quaterly 7 (1), 115-130 (2003)

2002

D Xi, IT Podolak, SW Lee, Facial component extraction and face recognition with support vector machines, Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE… (2002)

2001

A Bielecki, M Bielecka, IT Podolak, Symulacja pewnego nieliniowego modelu ekonometrycznego przy pomocy sieci neuronowych, Przegląd Statystyczny 48 (1-2), 151-159 (2001)

2000

LSW Podolak I.T., Finding input symbol representations for neural networks, 7th Int. Conf. on Neural Informations Processing, 1174-1179 (2000)
IT Podolak, SW Lee, A Bielecki, E Majkut, A hybrid neural system for phonematic transformation, Pattern Recognition, 2000. Proceedings. 15th International Conference on 2… (2000)

1999

IT Podolak, Feedforward neural network's sensitivity to input data representation, Computer physics communications 117 (1-2), 181-188 (1999)

1998

IT Podolak, Functional graph model of a neural network, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28… (1998)

1996

A Bielecki, IT Podolak, J Wosiek, E Majkut, Phonematic translation of polish texts by the neural network, ACTA PHYSICA POLONICA SERIES B 27, 2253-2264 (1996)

Contact Us

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