Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm. - Marek Sikora; Lukasz Wróbel (RSFDGrC, 2011)

Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules. - Marek Sikora; Adam Skowron; Lukasz Wróbel (AIMSA, 2012)

Algorithms for Filtration of Unordered Sets of Regression Rules. - Lukasz Wróbel; Marek Sikora; Adam Skowron (MIWAI, 2012)

Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms. - Marek Sikora; Lukasz Wróbel (Int. J. Gen. Syst., 2013)

seismic-bumps. - Marek Sikora; Lukasz Wróbel (UCI Machine Learning Repository, 2013)

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)

Rule quality measures settings in a sequential covering rule induction algorithm - an empirical approach. - Marcin Michalak 001; Marek Sikora; Lukasz Wróbel (FedCSIS, 2015)

Mining Data from Coal Mines: IJCRS'15 Data Challenge. - Andrzej Janusz; Marek Sikora; Lukasz Wróbel; Sebastian Stawicki; Marek Grzegorowski; Piotr Wojtas; Dominik Slezak (RSFDGrC, 2015)

Influence of Outliers Introduction on Predictive Models Quality. - Mateusz Kalisch; Marcin Michalak 001; Marek Sikora; Lukasz Wróbel; Piotr Przystalka (BDAS, 2016)

Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. - Andrzej Janusz; Dominik Slezak; Marek Sikora; Lukasz Wróbel (FedCSIS, 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)

Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach. - Mateusz Kalisch; Marcin Michalak 001; Marek Sikora; Lukasz Wróbel; Piotr Przystalka (ICAISC (2), 2016)

Outlier Detection and Elimination in Stream Data - An Experimental Approach. - Mateusz Kalisch; Marcin Michalak 001; Piotr Przystalka; Marek Sikora; Lukasz Wróbel (IJCRS, 2016)

Rule Quality Measures Settings in Classification, Regression and Survival Rule Induction - an Empirical Approach. - Lukasz Wróbel; Marek Sikora; Marcin Michalak 001 (Fundam. Informaticae, 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)

Learning rule sets from survival data. - Lukasz Wróbel; Adam Gudys; Marek Sikora (BMC Bioinform., 2017)

Predicting seismic events in coal mines based on underground sensor measurements. - Andrzej Janusz; Marek Grzegorowski; Marcin Michalak 001; Lukasz Wróbel; Marek Sikora; Dominik Slezak (Eng. Appl. Artif. Intell., 2017)

The Use of Distributed Data Storage and Processing Systems in Bioinformatic Data Analysis. - Michal Bochenek; Kamil Folkert; Roman Jaksik; Michal Krzeslak; Marcin Michalak 001; Marek Sikora; Tomasz Steclik; Lukasz Wróbel (BDAS, 2018)

EYE: Big Data System Supporting Preventive and Predictive Maintenance of Robotic Production Lines. - Jaroslaw Kurpanik; Joanna Henzel; Marek Sikora; Lukasz Wróbel; Marek Drewniak (BDAS, 2018)

Covering Approach to Action Rule Learning. - Pawel Matyszok; Marek Sikora; Lukasz Wróbel (BDAS, 2018)

Bidirectional Action Rule Learning. - Pawel Matyszok; Lukasz Wróbel; Marek Sikora (ISCIS, 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)

Fuzzy Modelling of the Methane Hazard Rate. - Dariusz Felka; Marcin Malachowski; Lukasz Wróbel; Jaroslaw Brodny (BDAS, 2019)

Detection of the Oocyte Orientation for the ICSI Method Automation. - Magdalena Mazur-Milecka; Emilia Kaczmarczyk; Lukasz Wróbel; Patryk Przybylski; Marika Trudnowska; Aleksandra Podwojcik; Monika Jagiello; Krzysztof Lukaszuk; Jacek Ruminski (HSI, 2019)

GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings. - Marek Sikora; Lukasz Wróbel; Adam Gudys (Knowl. Based Syst., 2019)

RuleKit: A comprehensive suite for rule-based learning. - Adam Gudys; Marek Sikora; Lukasz Wróbel (Knowl. Based Syst., 2020)

Bone marrow transplant: children. - Marek Sikora; Lukasz Wróbel; Adam Gudys (UCI Machine Learning Repository, 2020)

Demand forecasting in the fashion business - an example of customized nearest neighbour and linear mixed model approaches. - Joanna Henzel; Lukasz Wawrowski; Anna Kubina; Marek Sikora; Lukasz Wróbel (FedCSIS, 2022)

MAINE: a web tool for multi-omics feature selection and rule-based data exploration. - Aleksandra Gruca; Joanna Henzel; Iwona Kostorz; Tomasz Steclik; Lukasz Wróbel; Marek Sikora (Bioinform., 2022)

Separate and conquer heuristic allows robust mining of contrast sets from various types of data. - Adam Gudys; Marek Sikora; Lukasz Wróbel (CoRR, 2022)

SCARI: Separate and conquer algorithm for action rules and recommendations induction. - Marek Sikora; Pawel Matyszok; Lukasz Wróbel (Inf. Sci., 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)

RuleMiner: An Interactive Web Tool for Rule-Based Data Analysis. - Marek Sikora; Dawid Macha; Joanna Badura; Artur Kozlowski; Lukasz Wróbel (RuleML+RR (Companion), 2024)

Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data. - Adam Gudys; Marek Sikora; Lukasz Wróbel (Expert Syst. Appl., 2024)

IMCP: A Python package for imbalanced and multiclass data classifier performance comparison. - Jesús S. Aguilar-Ruiz; Marcin Michalak 001; Lukasz Wróbel (SoftwareX, 2024)

Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions. - Cezary Maszczyk; Marek Sikora; Lukasz Wróbel (Mach. Learn. Knowl. Extr., 2024)

RuleKit 2: Faster and simpler rule learning. - Adam Gudys; Cezary Maszczyk; Joanna Badura; Adam Grzelak; Marek Sikora; Lukasz Wróbel (CoRR, 2025)