Applicability of Commonly Used Atom-atom Type Potential Energy Functions in Structural Analysis of Nucleic Acids. the Role of Electrostatic Interactions. - Witold R. Rudnicki; Bogdan Lesyng (Comput. Chem., 1995)

Adding numbers with DNA. - Piotr Wasiewicz; Jan J. Mulawka; Witold R. Rudnicki; Bogdan Lesyng (SMC, 2000)

Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids. - Witold R. Rudnicki; Henryk Jan Komorowski (Rough Sets and Current Trends in Computing, 2004)

Soft Computing Approach to the Analysis of the Amino Acid Similarity Matrices. - Witold R. Rudnicki; Henryk Jan Komorowski (Intelligent Information Systems, 2005)

A Statistical Method for Determining Importance of Variables in an Information System. - Witold R. Rudnicki; Marcin Kierczak; Jacek Koronacki; Henryk Jan Komorowski (RSCTC, 2006)

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases. - Lukasz Ligowski; Witold R. Rudnicki (IPDPS, 2009)

Musical Instruments in Random Forest. - Miron B. Kursa; Witold R. Rudnicki; Alicja Wieczorkowska; Elzbieta Kubera; Agnieszka Kubik-Komar (ISMIS, 2009)

The new SIMD Implementation of the Smith-Waterman Algorithm on Cell Microprocessor. - Witold R. Rudnicki; Aleksander Jankowski; Aleksander Modzelewski; Aleksander Piotrowski; Adam Zadrozny (Fundam. Informaticae, 2009)

Random Musical Bands Playing in Random Forests. - Miron B. Kursa; Elzbieta Kubera; Witold R. Rudnicki; Alicja Wieczorkowska (RSCTC, 2010)

Application of Graphic Processors for Analysis of Biological Molecules. - Witold R. Rudnicki; Lukasz Ligowski (ERCIM News, 2010)

Boruta - A System for Feature Selection. - Miron B. Kursa; Aleksander Jankowski; Witold R. Rudnicki (Fundam. Informaticae, 2010)

Exploring utilisation of GPU for database applications. - Slawomir Walkowiak; Konrad Wawruch; Marita Nowotka; Lukasz Ligowski; Witold R. Rudnicki (ICCS, 2010)

The Robust Models of Retention for Thin Layer Chromatography. - Miron B. Kursa; Lukasz Komsta; Witold R. Rudnicki (ICMMI, 2011)

A Deceiving Charm of Feature Selection: The Microarray Case Study. - Miron B. Kursa; Witold R. Rudnicki (ICMMI, 2011)

Playing in Unison in the Random Forest. - Alicja Wieczorkowska; Miron B. Kursa; Elzbieta Kubera; Radoslaw Rudnicki; Witold R. Rudnicki (SIIS, 2011)

All That Jazz in the Random Forest. - Elzbieta Kubera; Miron B. Kursa; Witold R. Rudnicki; Radoslaw Rudnicki; Alicja Wieczorkowska (ISMIS, 2011)

Towards Understanding Protein-Protein Interactions: The AI Approach. - Miron B. Kursa; Jacek Jendrej; Julia Herman-Izycka; Witold R. Rudnicki (ISMIS Industrial Session, 2011)

Design of the Efficient Archival Warehouse for Weather Forecast System. - Slawomir Walkowiak; Lukasz Ligowski; Konrad Wawruch; Witold R. Rudnicki (ITEE, 2011)

Random forest models of the retention constants in the thin layer chromatography - Miron B. Kursa; Lukasz Komsta; Witold R. Rudnicki (CoRR, 2011)

The All Relevant Feature Selection using Random Forest - Miron B. Kursa; Witold R. Rudnicki (CoRR, 2011)

Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data. - Agnieszka Podsiadlo; Mariusz Wrzesien; Wieslaw Paja; Witold R. Rudnicki; Bartek Wilczynski (BMC Syst. Biol., 2013)

All Relevant Feature Selection Methods and Applications. - Witold R. Rudnicki; Mariusz Wrzesien; Wieslaw Paja (Feature Selection for Data and Pattern Recognition, 2015)

Efficient implementation of the many-body Reactive Bond Order (REBO) potential on GPU. - Przemyslaw Tredak; Witold R. Rudnicki; Jacek A. Majewski (J. Comput. Phys., 2016)

MDFS - MultiDimensional Feature Selection. - Radoslaw Piliszek; Krzysztof Mnich; Szymon Migacz; Pawel Tabaszewski; Andrzej Sulecki; Aneta Polewko-Klim; Witold R. Rudnicki (CoRR, 2018)

Prediction of the apple scab using machine learning and simple weather stations. - Mariusz Wrzesien; Waldemar Treder; Krzysztof Klamkowski; Witold R. Rudnicki (Comput. Electron. Agric., 2019)

MDFS: MultiDimensional Feature Selection in R. - Radoslaw Piliszek; Krzysztof Mnich; Szymon Migacz; Pawel Tabaszewski; Andrzej Sulecki; Aneta Polewko-Klim; Witold R. Rudnicki (R J., 2019)

Towards Prediction of Heart Arrhythmia Onset Using Machine Learning. - Agnieszka Kitlas Golinska; Wojciech Lesinski; Andrzej Przybylski; Witold R. Rudnicki (ICCS (4), 2020)

Bootstrap Bias Corrected Cross Validation Applied to Super Learning. - Krzysztof Mnich; Agnieszka Kitlas Golinska; Aneta Polewko-Klim; Witold R. Rudnicki (ICCS (3), 2020)

Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data. - Aneta Polewko-Klim; Witold R. Rudnicki (ICCS (3), 2020)

Super Learning with Repeated Cross Validation. - Krzysztof Mnich; Aneta Polewko-Klim; Agnieszka Kitlas Golinska; Wojciech Lesinski; Witold R. Rudnicki (ICDM (Workshops), 2020)

Identification of Clinical Variables Relevant for Survival Prediction in Patients with Metastatic Castration-Resistant Prostate Cancer. - Wojciech Lesinski; Aneta Polewko-Klim; Witold R. Rudnicki (WorldCIST (2), 2020)

Data Integration Strategy for Robust Classification of Biomedical Data. - Aneta Polewko-Klim; Witold R. Rudnicki (WorldCIST (2), 2020)

The need for standardisation in life science research - an approach to excellence and trust. - 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; et al. (F1000Research, 2020)

All-relevant feature selection using multidimensional filters with exhaustive search. - Krzysztof Mnich; Witold R. Rudnicki (Inf. Sci., 2020)

Multidimensional Feature Selection and High Performance ParalleX - A tool for detection of informative variables for big data. - Karol Niedzielewski; Maciej E. Marchwiany; Radoslaw Piliszek; Marek T. Michalewicz; Witold R. Rudnicki (SN Comput. Sci., 2020)

Robust Data Integration Method for Classification of Biomedical Data. - Aneta Polewko-Klim; Krzysztof Mnich; Witold R. Rudnicki (J. Medical Syst., 2021)

A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons. - Wojciech Lesinski; Witold R. Rudnicki (ICCS (3), 2023)

EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data. - Aneta Polewko-Klim; Pawel Grablis; Witold R. Rudnicki (ICCS (4), 2024)

Modelling of Drug-Induced Liver Injury with Multiple Machine Learning Algorithms. - Wojciech Lesinski; Agnieszka Kitlas Golinska; Witold R. Rudnicki (ICCCI (CCIS Volume 2), 2024)

HCS - hierarchical algorithm for simulation of omics datasets. - Piotr Stomma; Witold R. Rudnicki (Bioinform., 2024)

Vibrations of Injection Machine. - Radoslaw Piliszek; Wojciech Lesinski; Krzysztof Mnich; Agnieszka Kitlas Golinska; Dorian Mlodzianowski; Grzegorz Markiewicz; Marek Jalbrzykowski; Witold R. Rudnicki (IEEE DataPort, 2024)