Witold R. Rudnicki

43 papers A 1B 1C 2Misc 1Journal 19Unranked 18
YearRankTypeTitle / Venue / Authors
2024 — conf
EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data.
ICCS (4)
Aneta Polewko-Klim, Pawel Grablis, Witold R. Rudnicki
2024 J jnl
HCS - hierarchical algorithm for simulation of omics datasets.
Bioinform.
Piotr Stomma, Witold R. Rudnicki
2024 — conf
Modelling of Drug-Induced Liver Injury with Multiple Machine Learning Algorithms.
ICCCI (CCIS Volume 2)
Wojciech Lesinski, Agnieszka Kitlas Golinska, Witold R. Rudnicki
2023 — conf
A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons.
ICCS (3)
Wojciech Lesinski, Witold R. Rudnicki
2021 J jnl
Robust Data Integration Method for Classification of Biomedical Data.
J. Medical Syst.
Aneta Polewko-Klim, Krzysztof Mnich, Witold R. Rudnicki
2020 J jnl
All-relevant feature selection using multidimensional filters with exhaustive search.
Inf. Sci.
Krzysztof Mnich, Witold R. Rudnicki
2020 — conf
Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data.
ICCS (3)
Aneta Polewko-Klim, Witold R. Rudnicki
2020 J jnl
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data.
CoRR
Aneta Polewko-Klim, Witold R. Rudnicki
2020 — conf
Bootstrap Bias Corrected Cross Validation Applied to Super Learning.
ICCS (3)
Krzysztof Mnich, Agnieszka Kitlas Golinska, Aneta Polewko-Klim, Witold R. Rudnicki
2020 J jnl
Bootstrap Bias Corrected Cross Validation applied to Super Learning.
CoRR
Krzysztof Mnich, Agnieszka Kitlas Golinska, Aneta Polewko-Klim, Witold R. Rudnicki
2020 — conf
Data Integration Strategy for Robust Classification of Biomedical Data.
WorldCIST (2)
Aneta Polewko-Klim, Witold R. Rudnicki
2020 — conf
Identification of Clinical Variables Relevant for Survival Prediction in Patients with Metastatic Castration-Resistant Prostate Cancer.
WorldCIST (2)
Wojciech Lesinski, Aneta Polewko-Klim, Witold R. Rudnicki
2020 J jnl
Multidimensional Feature Selection and High Performance ParalleX - A tool for detection of informative variables for big data.
SN Comput. Sci.
Karol Niedzielewski, Maciej E. Marchwiany, Radoslaw Piliszek, Marek T. Michalewicz, Witold R. Rudnicki
2020 — conf
Super Learning with Repeated Cross Validation.
ICDM (Workshops)
Krzysztof Mnich, Aneta Polewko-Klim, Agnieszka Kitlas Golinska, Wojciech Lesinski, Witold R. Rudnicki
2020 J jnl
The need for standardisation in life science research - an approach to excellence and trust.
F1000Research
Susanne Hollmann, Andreas Kremer, Spela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. A. Evelo, Alina S. Nechyporenko, Marcus Frohme, David Safránek, Babette Regierer, Domenica D'Elia
2020 — conf
Towards Prediction of Heart Arrhythmia Onset Using Machine Learning.
ICCS (4)
Agnieszka Kitlas Golinska, Wojciech Lesinski, Andrzej Przybylski, Witold R. Rudnicki
2019 J jnl
MDFS: MultiDimensional Feature Selection in R.
R J.
Radoslaw Piliszek, Krzysztof Mnich, Szymon Migacz, Pawel Tabaszewski, Andrzej Sulecki, Aneta Polewko-Klim, Witold R. Rudnicki
2019 J jnl
Prediction of the apple scab using machine learning and simple weather stations.
Comput. Electron. Agric.
Mariusz Wrzesien, Waldemar Treder, Krzysztof Klamkowski, Witold R. Rudnicki
2018 J jnl
MDFS - MultiDimensional Feature Selection.
CoRR
Radoslaw Piliszek, Krzysztof Mnich, Szymon Migacz, Pawel Tabaszewski, Andrzej Sulecki, Aneta Polewko-Klim, Witold R. Rudnicki
2017 J jnl
All-relevant feature selection using multidimensional filters with exhaustive search.
CoRR
Krzysztof Mnich, Witold R. Rudnicki
2016 J jnl
Efficient implementation of the many-body Reactive Bond Order (REBO) potential on GPU.
J. Comput. Phys.
Przemyslaw Tredak, Witold R. Rudnicki, Jacek A. Majewski
2015 — ch.
All Relevant Feature Selection Methods and Applications.
Feature Selection for Data and Pattern Recognition
Witold R. Rudnicki, Mariusz Wrzesien, Wieslaw Paja
2013 J jnl
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data.
BMC Syst. Biol.
Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja, Witold R. Rudnicki, Bartek Wilczynski
2011 — conf
A Deceiving Charm of Feature Selection: The Microarray Case Study.
ICMMI
Miron B. Kursa, Witold R. Rudnicki
2011 C conf
All That Jazz in the Random Forest.
ISMIS
Elzbieta Kubera, Miron B. Kursa, Witold R. Rudnicki, Radoslaw Rudnicki, Alicja Wieczorkowska
2011 — conf
Design of the Efficient Archival Warehouse for Weather Forecast System.
ITEE
Slawomir Walkowiak, Lukasz Ligowski, Konrad Wawruch, Witold R. Rudnicki
2011 — conf
Playing in Unison in the Random Forest.
SIIS
Alicja Wieczorkowska, Miron B. Kursa, Elzbieta Kubera, Radoslaw Rudnicki, Witold R. Rudnicki
2011 J jnl
Random forest models of the retention constants in the thin layer chromatography
CoRR
Miron B. Kursa, Lukasz Komsta, Witold R. Rudnicki
2011 J jnl
The All Relevant Feature Selection using Random Forest
CoRR
Miron B. Kursa, Witold R. Rudnicki
2011 — conf
The Robust Models of Retention for Thin Layer Chromatography.
ICMMI
Miron B. Kursa, Lukasz Komsta, Witold R. Rudnicki
2011 — conf
Towards Understanding Protein-Protein Interactions: The AI Approach.
ISMIS Industrial Session
Miron B. Kursa, Jacek Jendrej, Julia Herman-Izycka, Witold R. Rudnicki
2010 J jnl
Application of Graphic Processors for Analysis of Biological Molecules.
ERCIM News
Witold R. Rudnicki, Lukasz Ligowski
2010 J jnl
Boruta - A System for Feature Selection.
Fundam. Informaticae
Miron B. Kursa, Aleksander Jankowski, Witold R. Rudnicki
2010 Misc conf
Exploring utilisation of GPU for database applications.
ICCS
Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold R. Rudnicki
2010 — conf
Random Musical Bands Playing in Random Forests.
RSCTC
Miron B. Kursa, Elzbieta Kubera, Witold R. Rudnicki, Alicja Wieczorkowska
2009 A conf
An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases.
IPDPS
Lukasz Ligowski, Witold R. Rudnicki
2009 C conf
Musical Instruments in Random Forest.
ISMIS
Miron B. Kursa, Witold R. Rudnicki, Alicja Wieczorkowska, Elzbieta Kubera, Agnieszka Kubik-Komar
2009 J jnl
The new SIMD Implementation of the Smith-Waterman Algorithm on Cell Microprocessor.
Fundam. Informaticae
Witold R. Rudnicki, Aleksander Jankowski, Aleksander Modzelewski, Aleksander Piotrowski, Adam Zadrozny
2006 — conf
A Statistical Method for Determining Importance of Variables in an Information System.
RSCTC
Witold R. Rudnicki, Marcin Kierczak, Jacek Koronacki, Henryk Jan Komorowski
2005 — conf
Soft Computing Approach to the Analysis of the Amino Acid Similarity Matrices.
Intelligent Information Systems
Witold R. Rudnicki, Henryk Jan Komorowski
2004 — conf
Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids.
Rough Sets and Current Trends in Computing
Witold R. Rudnicki, Henryk Jan Komorowski
2000 B conf
Adding numbers with DNA.
SMC
Piotr Wasiewicz, Jan J. Mulawka, Witold R. Rudnicki, Bogdan Lesyng
1995 J jnl
Applicability of Commonly Used Atom-atom Type Potential Energy Functions in Structural Analysis of Nucleic Acids. the Role of Electrostatic Interactions.
Comput. Chem.
Witold R. Rudnicki, Bogdan Lesyng