dr Wojciech Czarnecki

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Instytut Informatyki i Matematyki Komputerowej
  • Katedra Uczenia Maszynowego

Doktorat  Otwarcie: 2014-06-26, Zamknięcie: 2015-12-17

Publikacje:

23.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, Arxiv (2017),
22.
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, Bioorganic and Medicinal Chemistry Letters vol. 27 (2017), 626-631
21.
Wojciech Czarnecki, Jacek Tabor
Extreme entropy machines: robust information theoretic classification, Pattern Analysis and Applications vol. 20 (2017), 383–400
20.
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak
Learning to SMILE(S), International Conference On Learning Representations (workshop Track) (2016),
19.
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
18.
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
17.
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
16.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Extremely Randomized Machine Learning Methods for Compound Activity Prediction, Molecules vol. 20 (11) (2015), 20107-20117
15.
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
14.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Robust optimization of SVM hyperparameters in the classification of bioactive compounds, Journal of Cheminformatics vol. 7 (38) (2015), 15
13.
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
12.
Wojciech Czarnecki
Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE Computational Intelligence Magazine vol. 10 (3) (2015), 19-29
11.
Wojciech Czarnecki
Adaptive Active Learning with Ensemble of Learners and Multiclass Problems, Lecture Notes in Computer Science vol. 9119 (2015), 415 - 426
10.
Wojciech Czarnecki, Jacek Tabor
Multithreshold Entropy Linear Classifier: Theory and Applications, Expert Systems with Applications vol. 42 (2015), 5591-5606
9.
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
8.
Wojciech Czarnecki, Rafał Józefowicz
Fast optimization of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 23 (2015), 57–67
7.
Wojciech Czarnecki
On the Consistency of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 24 (2015), 123-132
6.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Smusz, Dawid Warszycki
Exploiting uncertainty measures in compounds activity prediction using support vector machines, Bioorganic and Medicinal Chemistry Letters vol. 25 (2015), 100-105
5.
Wojciech Czarnecki, Igor Podolak
Adaptive Active Learning as a Multi-armed Bandit Problem, Frontiers in Artificial Intelligence and Applications vol. 263 (2014), 989-990
4.
Wojciech Czarnecki, Jacek Tabor
Two ellipsoid Support Vector Machines, Expert Systems with Applications vol. 41 (18) (2014), 8211-8224
3.
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 and Intelligent Systems (2014), 76-81
2.
Wojciech Czarnecki, Igor Podolak
Machine Learning with Known Input Data Uncertainty Measure, Lecture Notes in Computer Science (2013), 379-388
1.
Wojciech Czarnecki
Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem, Lecture Notes in Computer Science (2012), 242-250

Konferencje:

7.
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
6.
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
5.
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
4.
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
3.
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
2.
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
1.
Wojciech Czarnecki.
21st European Conference on Artificial Intelligence, GUARANT International, Praga, Czechy, 2014-08-18 - 2014-08-22

Granty (realizowane po maju 2009 roku)

TytułRolaRozpoczęcieZakończenie
Paradygmat minimalizacji pamięci w klastrowaniuWykonawca2015-01-212017-08-26
Nowa strategia wyboru zapytań w aktywnym uczeniu modeli maszynowychKierownik2014-04-012015-12-31