Improving the Results and Performance of Clustering Bit-encoded XML Documents. - Michal Kozielski (ICDM Workshops, 2006)

Multilevel Conditional Fuzzy C-Means Clustering of XML Documents. - Michal Kozielski (PKDD, 2007)

Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups. - Aleksandra Gruca; Michal Kozielski; Marek Sikora (ICMMI, 2009)

Ask Friends for Help: A Collaborative Query Answering System. - Dominik Popowicz; Piotr Bródka; Przemyslaw Kazienko; Michal Kozielski (CDVE, 2011)

Correlation of Genes Similarity Measures Based on GO Terms Similarity and Gene Expression Values. - Aleksandra Gruca; Michal Kozielski (ICMMI, 2011)

Evaluation of Semantic Term and Gene Similarity Measures. - Michal Kozielski; Aleksandra Gruca (PReMI, 2011)

Density-based Community Identification and Visualisation. - Michal Kozielski; Wojciech Filipowski; Dominik Popowicz; Lukasz Warchal (ASONAM, 2012)

Investigating human color harmony preferences using unsupervised machine learning. - Przemyslaw Skurowski; Michal Kozielski (CGIV, 2012)

Moment-Based Image Normalization for Handwritten Text Recognition. - Michal Kozielski; Jens Forster; Hermann Ney (ICFHR, 2012)

Open vocabulary handwriting recognition using combined word-level and character-level language models. - Michal Kozielski; David Rybach; Stefan Hahn; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

Feature combination and stacking of recurrent and non-recurrent neural networks for LVCSR. - Christian Plahl; Michal Kozielski; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

The Diffusion of Viral Content in Multi-layered Social Networks. - Jaroslaw Jankowski; Michal Kozielski; Wojciech Filipowski; Radoslaw Michalski (ICCCI, 2013)

Improvements in RWTH's System for Off-Line Handwriting Recognition. - Michal Kozielski; Patrick Doetsch; Hermann Ney (ICDAR, 2013)

Methods of Gene Ontology Term Similarity Analysis in Graph Database Environment. - Lukasz Stypka; Michal Kozielski (BDAS, 2014)

The RWTH Large Vocabulary Arabic Handwriting Recognition System. - Mahdi Hamdani; Patrick Doetsch; Michal Kozielski; Amr El-Desoky Mousa; Hermann Ney (Document Analysis Systems, 2014)

Multilingual Off-Line Handwriting Recognition in Real-World Images. - Michal Kozielski; Patrick Doetsch; Mahdi Hamdani; Hermann Ney (Document Analysis Systems, 2014)

Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition. - Patrick Doetsch; Michal Kozielski; Hermann Ney (ICFHR, 2014)

Open-Lexicon Language Modeling Combining Word and Character Levels. - Michal Kozielski; Martin Matysiak; Patrick Doetsch; Ralf Schlüter; Hermann Ney (ICFHR, 2014)

Towards Unsupervised Learning for Handwriting Recognition. - Michal Kozielski; Malte Nuhn; Patrick Doetsch; Hermann Ney (ICFHR, 2014)

Soft Approach to Identification of Cohesive Clusters in Two Gene Representations. - Michal Kozielski; Aleksandra Gruca (KES, 2014)

Integration of Facebook Online Social Network User Profiles into a Knowledgebase. - Wojciech Kijas; Michal Kozielski (BDAS, 2015)

Regression Rule Learning for Methane Forecasting in Coal Mines. - Michal Kozielski; Adam Skowron; Lukasz Wróbel; Marek Sikora (BDAS, 2015)

DISESOR - decision support system for mining industry. - Michal Kozielski; Marek Sikora; Lukasz Wróbel (FedCSIS, 2015)

A Meta-Learning Approach to Methane Concentration Value Prediction. - Michal Kozielski (BDAS, 2016)

Application of RapidMiner and R Environments to Dangerous Seismic Events Prediction. - Marcin Michalak 001; Katarzyna Dusza; Dominik Korda; Krzysztof Kozlowski; Bartlomiej Szwej; Michal Kozielski; Marek Sikora; Lukasz Wróbel (FedCSIS, 2016)

Decision Rule Learning from Stream of Measurements - A Case Study in Methane Hazard Forecasting in Coal Mines. - Michal Kozielski; Pawel Matyszok; Marek Sikora; Lukasz Wróbel (ICMMI, 2017)

Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations. - Michal Kozielski; Katarzyna Dusza; Józef Flakus; Krzysztof Kozlowski; Sebastian Musial; Bartlomiej Szwej (ISMIS, 2017)

Matching a Model to a User - Application of Meta-Learning to LPG Consumption Prediction. - Michal Kozielski; Zbigniew Laskarzewski (INCoS, 2018)

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Michal Kozielski; Sinh Hoa Nguyen; Marek Sikora; Sebastian Stawicki; Lukasz Wróbel (Inf. Sci., 2018)

Ensembles of Active Adaptive Incremental Classifiers. - Michal Kozielski; Krzysztof Koziel (ICMMI, 2019)

Classification supporting COVID-19 diagnostics based on patient survey data. - Joanna Henzel; Joanna Tobiasz; Michal Kozielski; Malgorzata Bach; Pawel Foszner; Aleksandra Gruca; Mateusz Kania; Justyna Mika; Anna Papiez; Aleksandra Werner; Joanna Zyla; Jerzy Jaroszewicz; et al. (CoRR, 2020)

Rule-based approximation of black-box classifiers for tabular data to generate global and local explanations. - Cezary Maszczyk; Michal Kozielski; Marek Sikora (FedCSIS, 2022)

Sensor-Based Predictive Maintenance with Reduction of False Alarms - A Case Study in Heavy Industry. - Marek Hermansa; Michal Kozielski; Marcin Michalak 001; Krzysztof Szczyrba; Lukasz Wróbel; Marek Sikora (Sensors, 2022)

RuleXAI - A package for rule-based explanations of machine learning model. - Dawid Macha; Michal Kozielski; Lukasz Wróbel; Marek Sikora (SoftwareX, 2022)

Separate-and-conquer survival action rule learning. - Joanna Badura; Marek Hermansa; Michal Kozielski; Marek Sikora; Lukasz Wróbel (Knowl. Based Syst., 2023)

Classification of flotation froth images using neural networks with explanations. - Dominik Borys; Michal Kozielski (KES, 2024)

Towards consistency of rule-based explainer and black box model - Fusion of rule induction and XAI-based feature importance. - Michal Kozielski; Marek Sikora; Lukasz Wawrowski (Knowl. Based Syst., 2025)