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Witold R. Rudnicki
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2020 – today
- 2024
- [c23]Aneta Polewko-Klim
, Pawel Grablis, Witold R. Rudnicki
EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data. ICCS (4) 2024: 88-96 - [c22]Wojciech Lesinski
Modelling of Drug-Induced Liver Injury with Multiple Machine Learning Algorithms. ICCCI (CCIS Volume 2) 2024: 432-444 - 2023
- [c21]Wojciech Lesinski
A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons. ICCS (3) 2023: 162-169 - 2021
- [j10]Aneta Polewko-Klim
Robust Data Integration Method for Classification of Biomedical Data. J. Medical Syst. 45(4): 45 (2021) - 2020
- [j9]Krzysztof Mnich, Witold R. Rudnicki
All-relevant feature selection using multidimensional filters with exhaustive search. Inf. Sci. 524: 277-297 (2020) - [j8]Karol Niedzielewski, Maciej E. Marchwiany, Radoslaw Piliszek, Marek T. Michalewicz
Multidimensional Feature Selection and High Performance ParalleX - A tool for detection of informative variables for big data. SN Comput. Sci. 1(1): 40:1-40:7 (2020) - [c20]Agnieszka Kitlas Golinska
Towards Prediction of Heart Arrhythmia Onset Using Machine Learning. ICCS (4) 2020: 376-389 - [c19]Aneta Polewko-Klim
Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data. ICCS (3) 2020: 525-538 - [c18]Krzysztof Mnich
Bootstrap Bias Corrected Cross Validation Applied to Super Learning. ICCS (3) 2020: 550-563 - [c17]Krzysztof Mnich, Aneta Polewko-Klim
Super Learning with Repeated Cross Validation. ICDM (Workshops) 2020: 629-635 - [c16]Aneta Polewko-Klim
Data Integration Strategy for Robust Classification of Biomedical Data. WorldCIST (2) 2020: 596-606 - [c15]Wojciech Lesinski
Identification of Clinical Variables Relevant for Survival Prediction in Patients with Metastatic Castration-Resistant Prostate Cancer. WorldCIST (2) 2020: 607-617 - [i8]Krzysztof Mnich, Agnieszka Kitlas Golinska
Bootstrap Bias Corrected Cross Validation applied to Super Learning. CoRR abs/2003.08342 (2020) - [i7]Aneta Polewko-Klim, Witold R. Rudnicki:
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data. CoRR abs/2004.13809 (2020) - [i6]Susanne Hollmann
The need for standardisation in life science research - an approach to excellence and trust. F1000Research 9: 1398 (2020)
2010 – 2019
- 2019
- [j7]Mariusz Wrzesien, Waldemar Treder
Prediction of the apple scab using machine learning and simple weather stations. Comput. Electron. Agric. 161: 252-259 (2019) - [j6]Radoslaw Piliszek
MDFS: MultiDimensional Feature Selection in R. R J. 11(1): 198 (2019) - 2018
- [i5]Radoslaw Piliszek, Krzysztof Mnich, Szymon Migacz, Pawel Tabaszewski, Andrzej Sulecki, Aneta Polewko-Klim, Witold R. Rudnicki
MDFS - MultiDimensional Feature Selection. CoRR abs/1811.00631 (2018) - 2017
- [i4]Krzysztof Mnich, Witold R. Rudnicki:
All-relevant feature selection using multidimensional filters with exhaustive search. CoRR abs/1705.05756 (2017) - 2016
- [j5]Przemyslaw Tredak, Witold R. Rudnicki
Efficient implementation of the many-body Reactive Bond Order (REBO) potential on GPU. J. Comput. Phys. 321: 556-570 (2016) - 2015
- [p1]Witold R. Rudnicki
All Relevant Feature Selection Methods and Applications. Feature Selection for Data and Pattern Recognition 2015: 11-28 - 2013
- [j4]Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data. BMC Syst. Biol. 7(S-6): S16 (2013) - 2011
- [c14]Miron B. Kursa
A Deceiving Charm of Feature Selection: The Microarray Case Study. ICMMI 2011: 145-152 - [c13]Miron B. Kursa
The Robust Models of Retention for Thin Layer Chromatography. ICMMI 2011: 169-176 - [c12]Alicja Wieczorkowska
Playing in Unison in the Random Forest. SIIS 2011: 226-239 - [c11]Miron B. Kursa
Towards Understanding Protein-Protein Interactions: The AI Approach. ISMIS Industrial Session 2011: 11-20 - [c10]Elzbieta Kubera
All That Jazz in the Random Forest. ISMIS 2011: 543-553 - [c9]Slawomir Walkowiak, Lukasz Ligowski, Konrad Wawruch, Witold R. Rudnicki
Design of the Efficient Archival Warehouse for Weather Forecast System. ITEE 2011: 749-762 - [i3]Miron B. Kursa, Lukasz Komsta, Witold R. Rudnicki:
Random forest models of the retention constants in the thin layer chromatography. CoRR abs/1106.3361 (2011) - [i2]Miron B. Kursa, Witold R. Rudnicki:
The All Relevant Feature Selection using Random Forest. CoRR abs/1106.5112 (2011) - 2010
- [j3]Miron B. Kursa
Boruta - A System for Feature Selection. Fundam. Informaticae 101(4): 271-285 (2010) - [c8]Miron B. Kursa
Random Musical Bands Playing in Random Forests. RSCTC 2010: 580-589 - [c7]Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold R. Rudnicki
Exploring utilisation of GPU for database applications. ICCS 2010: 505-513 - [i1]Witold R. Rudnicki, Lukasz Ligowski:
Application of Graphic Processors for Analysis of Biological Molecules. ERCIM News 2010(82): 14-15 (2010)
2000 – 2009
- 2009
- [j2]Witold R. Rudnicki
The new SIMD Implementation of the Smith-Waterman Algorithm on Cell Microprocessor. Fundam. Informaticae 96(1-2): 181-194 (2009) - [c6]Lukasz Ligowski, Witold R. Rudnicki
An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases. IPDPS 2009: 1-8 - [c5]Miron B. Kursa
Musical Instruments in Random Forest. ISMIS 2009: 281-290 - 2006
- [c4]Witold R. Rudnicki, Marcin Kierczak, Jacek Koronacki
A Statistical Method for Determining Importance of Variables in an Information System. RSCTC 2006: 557-566 - 2005
- [c3]Witold R. Rudnicki
Soft Computing Approach to the Analysis of the Amino Acid Similarity Matrices. Intelligent Information Systems 2005: 663-670 - 2004
- [c2]Witold R. Rudnicki, Henryk Jan Komorowski
Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids. Rough Sets and Current Trends in Computing 2004: 786-791 - 2000
- [c1]Piotr Wasiewicz, Jan J. Mulawka
Adding numbers with DNA. SMC 2000: 265-270
1990 – 1999
- 1995
- [j1]Witold R. Rudnicki
Applicability of Commonly Used Atom-atom Type Potential Energy Functions in Structural Analysis of Nucleic Acids. the Role of Electrostatic Interactions. Comput. Chem. 19(3): 253-258 (1995)
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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