Katedra Uczenia Maszynowego - lista publikacji

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1-23 z 23.

2015

23.
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
22.
Jacek Chudziak, Jacek Tabor, Józef Tabor
Conditionally d-midconvex functions, Aequationes Mathematicae vol. 89 (2015), 981-990
21.
Mateusz Malik, Przemysław Spurek, Jacek Tabor
Cross-Entropy based image thresholding, Schedae Informaticae vol. 24 (2015), 21-29
20.
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
19.
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
18.
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
17.
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
16.
Łukasz Struski, Jacek Tabor, Przemysław Spurek
Subspace memory clustering, Schedae Informaticae vol. 24 (2015), 133-142
15.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Extremely Randomized Machine Learning Methods for Compound Activity Prediction, Molecules vol. 20 (11) (2015), 20107-20117
14.
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
13.
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
12.
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
11.
Przemysław Spurek, Jacek Tabor, Mateusz Wójcik
Cross-Entropy Clustering Approach to One-Class Classification, Lecture Notes in Computer Science vol. 9119 (2015), 481-490
10.
Wojciech Czarnecki
Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery, IEEE Computational Intelligence Magazine vol. 10 (3) (2015), 19-29
9.
Marek Śmieja, Jacek Tabor
Entropy approximation in lossy source coding problem, Entropy vol. 17/5 (2015), 3400-3418
8.
Wojciech Czarnecki
Adaptive Active Learning with Ensemble of Learners and Multiclass Problems, Lecture Notes in Computer Science vol. 9119 (2015), 415 - 426
7.
Marek Śmieja, Magdalena Wiercioch
Mixture of metrics optimization for machine learning problems, Schedae Informaticae vol. 24 (2015), 133-142
6.
Wojciech Czarnecki, Jacek Tabor
Multithreshold Entropy Linear Classifier: Theory and Applications, Expert Systems with Applications vol. 42 (2015), 5591-5606
5.
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
4.
Wojciech Czarnecki, Rafał Józefowicz
Fast optimization of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 23 (2015), 57–67
3.
Wojciech Czarnecki
On the Consistency of Multithreshold Entropy Linear Classifier, Schedae Informaticae vol. 24 (2015), 123-132
2.
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
1.
Marek Śmieja
Weighted approach to general entropy function, IMA Journal of Mathematical Control and Information vol. 32/2 (2015), 329-327