| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 161 | 2017 |
| Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach R Kueffner, N Zach, M Bronfeld, R Norel, N Atassi, V Balagurusamy, ... Scientific reports 9 (1), 690, 2019 | 67 | 2019 |
| Features selection in character recognition with random forest classifier W Homenda, W Lesinski Computational Collective Intelligence. Technologies and Applications: Third …, 2011 | 13 | 2011 |
| Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival A Polewko-Klim, W Lesiński, K Mnich, R Piliszek, WR Rudnicki Biology Direct 13, 1-22, 2018 | 12 | 2018 |
| Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken A Polewko-Klim, W Lesiński, AK Golińska, K Mnich, M Siwek, ... Poultry science 99 (12), 6341-6354, 2020 | 8 | 2020 |
| Optical music recognition: case of pattern recognition with undesirable and garbage symbols W Homenda, W Lesinski Image Processing and Communications Challenges, 120-127, 2009 | 8 | 2009 |
| Integration of human cell lines gene expression and chemical properties of drugs for drug induced liver injury prediction W Lesiński, K Mnich, AK Golińska, WR Rudnicki Biology Direct 16, 1-12, 2021 | 7 | 2021 |
| Towards prediction of heart arrhythmia onset using machine learning A Kitlas Golińska, W Lesiński, A Przybylski, WR Rudnicki International Conference on Computational Science, 376-389, 2020 | 6 | 2020 |
| Optical music recognition as the case of imbalanced pattern recognition: a study of single classifiers A Jastrzebska, W Lesinski Knowledge, Information and Creativity Support Systems: Recent Trends …, 2016 | 6* | 2016 |
| Super Learning with Repeated Cross Validation K Mnich, A Polewko-Klim, AK Golińska, W Lesiński, WR Rudnicki 2020 International Conference on Data Mining Workshops (ICDMW), 629-635, 2020 | 4 | 2020 |
| Optical music recognition: Standard and cost-sensitive learning with imbalanced data W Lesinski, A Jastrzebska Computer Information Systems and Industrial Management: 14th IFIP TC 8 …, 2015 | 2 | 2015 |
| Decision trees and their families in imbalanced pattern recognition: recognition with and without rejection W Homenda, W Lesinski Computer Information Systems and Industrial Management: 13th IFIP TC8 …, 2014 | 2 | 2014 |
| Imbalanced pattern recognition: Concepts and evaluations W Homenda, W Lesinski 2014 International Joint Conference on Neural Networks (IJCNN), 3488-3495, 2014 | 1 | 2014 |
| A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons W Lesiński, WR Rudnicki International Conference on Computational Science, 162-169, 2023 | | 2023 |
| Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports W Lesiński, K Mnich, WR Rudnicki Frontiers in Genetics 12, 661075, 2021 | | 2021 |
| Identification of Clinical Variables Relevant for Survival Prediction in Patients with Metastatic Castration-Resistant Prostate Cancer W Lesiński, A Polewko-Klim, WR Rudnicki World Conference on Information Systems and Technologies, 607-617, 2020 | | 2020 |
| Modeling in Feature and Concept Spaces: Exclusion Relations and Similarities of Features Related with Exclusions A Jastrzebska, W Lesinski Knowledge, Information and Creativity Support Systems: Recent Trends …, 2016 | | 2016 |
| Optical Music Recognition: Standard and Cost-Sensitive Learning with Imbalanced Data A Jastrzębska, W Lesiński Lecture Notes In Computer Science 9339, 2015 | | 2015 |
| Modelling Human Cognitive Processes. Unipolar vs Bipolar Uncertainty A Jastrzębska, W Lesiński, M Rybnik Lecture Notes In Computer Science 9339, 2015 | | 2015 |
| Modeling Behavioral Biases Using Fuzzy and Balanced Fuzzy Connectives A Jastrzebska, W Lesinski Looking into the Future of Creativity and Decision Support Systems …, 2015 | | 2015 |
