Katedra Uczenia Maszynowego - lista publikacji

Extreme entropy machines: robust information theoretic classification, Pattern Analysis and Applications vol. 20 (2017), 383–400

2016

90.

Marek Śmieja, Łukasz Struski, Jacek Tabor

Semi-supervised model-based clustering with controlled clusters leakage, Expert Systems with Applications vol. 85 (2016), 146-157

89.

Stanisław Jastrzębski, Igor Sieradzki

On Certain Limitations of Recursive Representation Model, Schedae Informaticae vol. 25 (2016), 37-47

88.

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

87.

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

86.

Maximum Likelihood Estimation and Optimal Coordinates, International Conference On Systems Science, 2016 vol. Springer (2016), 3-13

85.

Wiesław Pałka, Przemysław Spurek

Clustering of Gaussian distributions, 2016 International Joint Conference On Neural Networks (ijcnn) vol. IEEE (2016), 3346-3353

84.

Jakub Hyła, Krzysztof Misztal, Jacek Tabor

Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem, Lecture Notes in Computer Science vol. 9842 (2016), 240-250

83.

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak

Learning to SMILE(S), International Conference On Learning Representations (workshop Track) (2016),

82.

Online Extreme Entropy Machines for Streams Classification and Active Learning, Advances in Intelligent Systems and Computing vol. 403 (2016), 371-381

81.

Krzysztof Misztal, Michał Podgórski, Przemysław Spurek, Jacek Tabor, Arkadiusz Tomczyk

Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation, Lecture Notes in Computer Science vol. 403 (2016), 159-168

80.

Marek Śmieja, Dawid Warszycki

Average Information Content Maximization - a new approach for fingerprint hybridization and reduction, PLoS One vol. 11/1 (2016), e0146666

79.

Ellipticity and circularity measuring via Kullback-Leibler divergence, Journal of Mathematical Imaging and Vision vol. 55 (1) (2016), 136-150

2015

78.

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

77.

Jacek Chudziak, Jacek Tabor, Józef Tabor

Conditionally d-midconvex functions, Aequationes Mathematicae vol. 89 (2015), 981-990

76.

Mateusz Malik, Przemysław Spurek, Jacek Tabor

Cross-Entropy based image thresholding, Schedae Informaticae vol. 24 (2015), 21-29

75.

Krzysztof Misztal, Emil Saeed, Khalid Saeed, Przemysław Spurek, Jacek Tabor

Cross entropy clustering approach to iris segmentation for biometrics purpose, Schedae Informaticae vol. 24 (2015), 31-40

74.

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

73.

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

72.

Spherical Wards clustering and generalized Voronoi diagrams, Proceeding of Ieee International Conference On Data Science and Advanced Analytics vol. 36678 (2015), 10

71.

Łukasz Struski, Jacek Tabor, Przemysław Spurek

Subspace memory clustering, Schedae Informaticae vol. 24 (2015), 133-142

70.

Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska

Extremely Randomized Machine Learning Methods for Compound Activity Prediction, Molecules vol. 20 (11) (2015), 20107-20117

69.

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

68.

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

67.

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

66.

Przemysław Spurek, Jacek Tabor, Mateusz Wójcik

Cross-Entropy Clustering Approach to One-Class Classification, Lecture Notes in Computer Science vol. 9119 (2015), 481-490

65.

Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE Computational Intelligence Magazine vol. 10 (3) (2015), 19-29

64.

Entropy approximation in lossy source coding problem, Entropy vol. 17/5 (2015), 3400-3418

63.

Adaptive Active Learning with Ensemble of Learners and Multiclass Problems, Lecture Notes in Computer Science vol. 9119 (2015), 415 - 426

62.

Marek Śmieja, Magdalena Wiercioch

Mixture of metrics optimization for machine learning problems, Schedae Informaticae vol. 24 (2015), 133-142

61.

Multithreshold Entropy Linear Classifier: Theory and Applications, Expert Systems with Applications vol. 42 (2015), 5591-5606

60.

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

59.

Wojciech Czarnecki, Rafał Józefowicz

Fast optimization of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 23 (2015), 57–67

58.

On the Consistency of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 24 (2015), 123-132

57.

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

56.

Marek Śmieja

Weighted approach to general entropy function, IMA Journal of Mathematical Control and Information vol. 32/2 (2015), 329-327

2014

55.

Przemysław Spurek, Elżbieta Zając

Metody analizy mikroskopowych obrazów warstw C-Pd, (2014), "Świat nanotechnologii. Warstwy nanokompozytowe węglowo-palladowe. Badania i technologia", Wydawnictwa Uniwersytetu Warszawskiego

54.

Alena Chaikouskaya, Przemysław Spurek, Jacek Tabor, Elżbieta Zając

A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves, Computer Information Systems and Industrial Management vol. 8838 (2014), 559-570

53.

Krzysztof Misztal, Przemysław Spurek, Marek Śmieja

Subspaces Clustering Approach to Lossy Image Compression, Lecture Notes in Computer Science vol. 8838 (2014), 571-579

52.

Wojciech Czarnecki, Igor Podolak

Adaptive Active Learning as a Multi-armed Bandit Problem, Frontiers in Artificial Intelligence and Applications vol. 263 (2014), 989-990

51.

Łukasz Struski, Jacek Tabor

Expansivity and Cone-fields in Metric Spaces, Journal of Dynamics and Differential Equations vol. 26(3) (2014), 517-527

50.

Two ellipsoid Support Vector Machines, Expert Systems with Applications vol. 41 (18) (2014), 8211-8224

49.

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

48.

Cross Entropy Clustering, Pattern Recognition vol. 47 (2014), 3046–3059

47.

Renyi entropy dimension of the mixture of measures, Proceedings of Science and Information Conference (2014), 685-689

46.

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

2013

45.

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

44.

Krzysztof Misztal, Jacek Tabor, Józef Tabor

Generalized midconvexity, Banach Center Publications vol. 99 (2013), 207-215

43.

Detection of elliptical shapes via cross-entropy clustering, Pattern Recognition and Image Analysis Lecture Notes in Computer Science vol. 7887 (2013), 656-663

42.

Mahalanobis distance-based algorithm for ellipse growing in iris preprocessing, Computer Information Systems and Industrial Management Lecture Notes in Computer Science vol. 8104 (2013), 158-167

41.

Wojciech Czarnecki, Igor Podolak

Machine Learning with Known Input Data Uncertainty Measure, Lecture Notes in Computer Science (2013), 379-388

40.

Krzysztof Misztal, Przemysław Spurek, Jacek Tabor

Weighted Approach to Projective Clustering, Computer Information Systems and Industrial Management Lecture Notes in Computer Science vol. 8104 (2013), 367-378

39.

Jacek Tabor, Józef Tabor, Marek Żołdak

Strongly Midquasiconvex Functions , Journal of Convex Analysis vol. 20 (2013), 531-543

38.

The memory center, Information Sciences vol. 252 (2013), 132–143

37.

Image segmentation with use of cross-entropy clustering, Advances in Intelligent Systems and Computing vol. 226 (2013), 403-409

36.

Przemysław Spurek, Jacek Tabor, Elżbieta Zając

Detection of Disk-Like Particles in Electron Microscopy Images, Advances in Intelligent Systems and Computing vol. 226 (2013), 411-417

35.

Krzysztof Misztal, Jacek Tabor, Józef Tabor

Midconvexity for finite sets, Journal of Inequalities and Applications vol. 2013 (2013), 1-16

34.

Strict verification of approximate midconvexity on non-convex sets, Mathematical Inequalities and Applications vol. 16 (2013), 389–400

2012

33.

Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem, Lecture Notes in Computer Science (2012), 242-250

32.

Jacek Tabor, Józef Tabor

Paraconvex, but not strongly, Takagi functions, Control and Cybernetics vol. 41 (2012), 545-559

31.

Piotr Kościelniak, Marcin Mazur, Jacek Tabor

Appendix A: Semi-Hyperbolicity: Estimations vol. Random and Computational Dynamics 1 (2012), "Phil Diamond, Peter Kloeden, Victor Kozyakin, Alexei Pokrovskii, Semi-Hyperbolicity and Bi-Shadowing", American Institute of Mathematical Sciences

30.

Anna Mureńko, Jacek Tabor, Józef Tabor

Applications of de Rham theorem in approximate midconvexity, Journal of Difference Equations and Applications vol. 18 (2012), 335-344

29.

Numerical verification of condition for approximately midconvex functions, Aequationes Mathematicae vol. 83 (2012), 223-237

28.

Łukasz Struski, Jacek Tabor, Tomasz Kulaga

Cone-Fields without Constant Orbit Core Dimension, Discrete and Continuous Dynamical Systems vol. 32(10) (2012), 3651-3664

27.

Krzysztof Misztal, Khalid Saeed, Jacek Tabor

A new algorithm for rotation detection in iris pattern recognition, Lecture Notes in Computer Science vol. Computer Information Systems and Industrial Management, Volume 7564/2012 (2012), 135-145

26.

Jakub Bielawski, Jacek Tabor

A t-norm embedding theorem for fuzzy sets, Fuzzy Sets and Systems (2012), 33-53

25.

Krzysztof Misztal, Emil Saeed, Khalid Saeed, Jacek Tabor

Iris Pattern Recognition with a New Mathematical Model to its Rotation Detection vol. 1 (2012), "Biometrics and Kansei Engineering", Springer Verlag (połaczony z Kluwer Academic Publishing)

24.

Krzysztof Misztal, Jacek Tabor, Józef Tabor

Approximately Midconvex Functions vol. Springer Optimization and Its Applications (2012), "Functional Equations in Mathematical Analysis", Springer Verlag (połaczony z Kluwer Academic Publishing)

23.