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2020 – today
- 2024
[j15]Adam Gudys
, Marek Sikora, Lukasz Wróbel:
Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data. Expert Syst. Appl. 248: 123376 (2024)- [j14]Cezary Maszczyk, Marek Sikora, Lukasz Wróbel:
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions. Mach. Learn. Knowl. Extr. 6(1): 554-579 (2024) - [j13]Jesús S. Aguilar-Ruiz, Marcin Michalak, Lukasz Wróbel:
IMCP: A Python package for imbalanced and multiclass data classifier performance comparison. SoftwareX 28: 101877 (2024) - 2023
- [j12]Joanna Badura, Marek Hermansa, Michal Kozielski, Marek Sikora, Lukasz Wróbel:
Separate-and-conquer survival action rule learning. Knowl. Based Syst. 280: 110981 (2023) - 2022
- [j11]Aleksandra Gruca, Joanna Henzel, Iwona Kostorz, Tomasz Steclik, Lukasz Wróbel, Marek Sikora:
MAINE: a web tool for multi-omics feature selection and rule-based data exploration. Bioinform. 38(6): 1773-1775 (2022) - [j10]Marek Sikora, Pawel Matyszok, Lukasz Wróbel:
SCARI: Separate and conquer algorithm for action rules and recommendations induction. Inf. Sci. 607: 849-868 (2022) - [j9]Marek Hermansa, Michal Kozielski, Marcin Michalak, Krzysztof Szczyrba, Lukasz Wróbel, Marek Sikora:
Sensor-Based Predictive Maintenance with Reduction of False Alarms - A Case Study in Heavy Industry. Sensors 22(1): 226 (2022) - [j8]Dawid Macha, Michal Kozielski, Lukasz Wróbel, Marek Sikora:
RuleXAI - A package for rule-based explanations of machine learning model. SoftwareX 20: 101209 (2022) - [c20]Joanna Henzel, Lukasz Wawrowski, Anna Kubina, Marek Sikora, Lukasz Wróbel:
Demand forecasting in the fashion business - an example of customized nearest neighbour and linear mixed model approaches. FedCSIS 2022: 61-65 - [i4]Adam Gudys, Marek Sikora, Lukasz Wróbel:
Separate and conquer heuristic allows robust mining of contrast sets from various types of data. CoRR abs/2204.00497 (2022) - 2021
- [i3]Marek Sikora, Pawel Matyszok, Lukasz Wróbel:
SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction. CoRR abs/2106.05348 (2021) - 2020
- [j7]Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A comprehensive suite for rule-based learning. Knowl. Based Syst. 194: 105480 (2020) - [d2]Marek Sikora, Lukasz Wróbel, Adam Gudys:
Bone marrow transplant: children. UCI Machine Learning Repository, 2020
2010 – 2019
- 2019
- [j6]Marek Sikora, Lukasz Wróbel, Adam Gudys:
GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings. Knowl. Based Syst. 173: 1-14 (2019) - [c19]Dariusz Felka, Marcin Malachowski, Lukasz Wróbel, Jaroslaw Brodny:
Fuzzy Modelling of the Methane Hazard Rate. BDAS 2019: 303-315 - [c18]Magdalena Mazur-Milecka, Emilia Kaczmarczyk, Lukasz Wróbel, Patryk Przybylski, Marika Trudnowska, Aleksandra Podwojcik, Monika Jagiello, Krzysztof Lukaszuk, Jacek Ruminski:
Detection of the Oocyte Orientation for the ICSI Method Automation. HSI 2019: 121-126 - [i2]Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A Comprehensive Suite for Rule-Based Learning. CoRR abs/1908.01031 (2019) - 2018
- [j5]Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel:
A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Inf. Sci. 451-452: 112-133 (2018) - [c17]Michal Bochenek, Kamil Folkert, Roman Jaksik, Michal Krzeslak, Marcin Michalak, Marek Sikora, Tomasz Steclik, Lukasz Wróbel:
The Use of Distributed Data Storage and Processing Systems in Bioinformatic Data Analysis. BDAS 2018: 18-32 - [c16]Jaroslaw Kurpanik, Joanna Henzel, Marek Sikora, Lukasz Wróbel, Marek Drewniak:
EYE: Big Data System Supporting Preventive and Predictive Maintenance of Robotic Production Lines. BDAS 2018: 47-60 - [c15]Pawel Matyszok, Marek Sikora, Lukasz Wróbel:
Covering Approach to Action Rule Learning. BDAS 2018: 182-193 - [c14]Pawel Matyszok, Lukasz Wróbel, Marek Sikora:
Bidirectional Action Rule Learning. ISCIS 2018: 220-228 - [i1]Marek Sikora, Lukasz Wróbel, Adam Gudys:
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings. CoRR abs/1806.01579 (2018) - 2017
- [j4]Lukasz Wróbel, Adam Gudys, Marek Sikora:
Learning rule sets from survival data. BMC Bioinform. 18(1): 285:1-285:13 (2017) - [j3]Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak:
Predicting seismic events in coal mines based on underground sensor measurements. Eng. Appl. Artif. Intell. 64: 83-94 (2017) - [c13]Michal Kozielski, Pawel Matyszok, Marek Sikora, Lukasz Wróbel:
Decision Rule Learning from Stream of Measurements - A Case Study in Methane Hazard Forecasting in Coal Mines. ICMMI 2017: 301-310 - 2016
- [j2]Lukasz Wróbel, Marek Sikora, Marcin Michalak:
Rule Quality Measures Settings in Classification, Regression and Survival Rule Induction - an Empirical Approach. Fundam. Informaticae 149(4): 419-449 (2016) - [c12]Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka:
Influence of Outliers Introduction on Predictive Models Quality. BDAS 2016: 79-93 - [c11]Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel:
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS 2016: 205-211 - [c10]Marcin Michalak, Katarzyna Dusza, Dominik Korda, Krzysztof Kozlowski, Bartlomiej Szwej, Michal Kozielski, Marek Sikora, Lukasz Wróbel:
Application of RapidMiner and R Environments to Dangerous Seismic Events Prediction. FedCSIS 2016: 249-252 - [c9]Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka:
Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach. ICAISC (2) 2016: 73-87 - [c8]Mateusz Kalisch, Marcin Michalak, Piotr Przystalka, Marek Sikora, Lukasz Wróbel:
Outlier Detection and Elimination in Stream Data - An Experimental Approach. IJCRS 2016: 416-426 - 2015
- [c7]Michal Kozielski, Adam Skowron, Lukasz Wróbel, Marek Sikora:
Regression Rule Learning for Methane Forecasting in Coal Mines. BDAS 2015: 495-504 - [c6]Michal Kozielski, Marek Sikora, Lukasz Wróbel:
DISESOR - decision support system for mining industry. FedCSIS 2015: 67-74 - [c5]Marcin Michalak, Marek Sikora, Lukasz Wróbel:
Rule quality measures settings in a sequential covering rule induction algorithm - an empirical approach. FedCSIS 2015: 109-118 - [c4]Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak:
Mining Data from Coal Mines: IJCRS'15 Data Challenge. RSFDGrC 2015: 429-438 - 2013
- [j1]Marek Sikora, Lukasz Wróbel:
Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms. Int. J. Gen. Syst. 42(6): 594-613 (2013) - [d1]Marek Sikora, Lukasz Wróbel:
seismic-bumps. UCI Machine Learning Repository, 2013 - 2012
- [c3]Marek Sikora, Adam Skowron, Lukasz Wróbel:
Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules. AIMSA 2012: 162-171 - [c2]Lukasz Wróbel, Marek Sikora, Adam Skowron:
Algorithms for Filtration of Unordered Sets of Regression Rules. MIWAI 2012: 284-295 - 2011
- [c1]Marek Sikora, Lukasz Wróbel:
Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm. RSFDGrC 2011: 278-285
Coauthor Index
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