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Marek Sikora
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2020 – today
- 2024
- [j31]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) - [j30]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) - [c55]Petr Dzurenda, Sara Ricci, Marek Sikora, Michal Stejskal, Imre Lendák, Pedro Adão:
Enhancing Cybersecurity Curriculum Development: AI-Driven Mapping and Optimization Techniques. ARES 2024: 107:1-107:10 - [c54]Marek Sikora, Dawid Macha, Joanna Badura, Artur Kozlowski, Lukasz Wróbel:
RuleMiner: An Interactive Web Tool for Rule-Based Data Analysis. RuleML+RR (Companion) 2024 - [i7]Michal Kozielski, Marek Sikora, Lukasz Wawrowski:
Towards consistency of rule-based explainer and black box model - fusion of rule induction and XAI-based feature importance. CoRR abs/2407.14543 (2024) - 2023
- [j29]Ren-Hung Hwang, Faysal Marzuk, Marek Sikora, Piotr Cholda, Ying-Dar Lin:
Resource Management in LADNs Supporting 5G V2X Communications. IEEE Access 11: 63958-63971 (2023) - [j28]Andrzej Janusz, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak:
BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. Appl. Soft Comput. 141: 110285 (2023) - [j27]Joanna Badura, Marek Hermansa, Michal Kozielski, Marek Sikora, Lukasz Wróbel:
Separate-and-conquer survival action rule learning. Knowl. Based Syst. 280: 110981 (2023) - [j26]Lukasz Wawrowski, Andrzej Bialas, Adrian Kajzer, Artur Kozlowski, Rafal Kurianowicz, Marek Sikora, Agnieszka Szymanska-Kwiecien, Mariusz Uchronski, Milosz Bialczak, Maciej Olejnik, Marcin Michalak:
Anomaly Detection Module for Network Traffic Monitoring in Public Institutions. Sensors 23(6): 2974 (2023) - [c53]Jan Hajny, Marek Sikora, Konstantinos Adamos, Fabio Di Franco:
Curricula Designer with Enhanced ECSF Analysis. ARES 2023: 63:1-63:7 - 2022
- [j25]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) - [j24]Marek Sikora, Pawel Matyszok, Lukasz Wróbel:
SCARI: Separate and conquer algorithm for action rules and recommendations induction. Inf. Sci. 607: 849-868 (2022) - [j23]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) - [j22]Dawid Macha, Michal Kozielski, Lukasz Wróbel, Marek Sikora:
RuleXAI - A package for rule-based explanations of machine learning model. SoftwareX 20: 101209 (2022) - [c52]Jan Hajny, Marek Sikora, Athanasios Vasileios Grammatopoulos, Fabio Di Franco:
Adding European Cybersecurity Skills Framework into Curricula Designer. ARES 2022: 82:1-82:6 - [c51]Sara Ricci, Marek Sikora, Simon Parker, Imre Lendak, Yianna Danidou, Argyro Chatzopoulou, Remi Badonnel, Donatas Alksnys:
Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation. ARES 2022: 84:1-84:10 - [c50]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 - [c49]Cezary Maszczyk, Michal Kozielski, Marek Sikora:
Rule-based approximation of black-box classifiers for tabular data to generate global and local explanations. FedCSIS 2022: 89-92 - [i6]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
- [j21]Marek Sikora, Radek Fujdiak, Karel Kuchar, Eva Holasova, Jiri Misurec:
Generator of Slow Denial-of-Service Cyber Attacks. Sensors 21(16): 5473 (2021) - [c48]Jan Hajny, Sara Ricci, Edmundas Piesarskas, Marek Sikora:
Cybersecurity Curricula Designer. ARES 2021: 144:1-144:7 - [c47]Joanna Henzel, Jakub Bularz, Marek Sikora:
Impact of time series clustering on fuel sales prediction results. FedCSIS (Position Papers) 2021: 13-21 - [c46]Marcin Michalak, Lukasz Wawrowski, Marek Sikora, Rafal Kurianowicz, Artur Kozlowski, Andrzej Bialas:
Outlier Detection in Network Traffic Monitoring. ICPRAM 2021: 523-530 - [c45]Marek Sikora, Radek Fujdiak, Jiri Misurec:
Analysis and detection of application-independent slow Denial of Service cyber attacks. ISI 2021: 1-6 - [c44]Lukasz Wawrowski, Marcin Michalak, Andrzej Bialas, Rafal Kurianowicz, Marek Sikora, Mariusz Uchronski, Adrian Kajzer:
Detecting anomalies and attacks in network traffic monitoring with classification methods and XAI-based explainability. KES 2021: 2259-2268 - [i5]Marek Sikora, Pawel Matyszok, Lukasz Wróbel:
SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction. CoRR abs/2106.05348 (2021) - 2020
- [j20]Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A comprehensive suite for rule-based learning. Knowl. Based Syst. 194: 105480 (2020) - [c43]Joanna Henzel, Marek Sikora:
Gradient Boosting Application in Forecasting of Performance Indicators Values for Measuring the Efficiency of Promotions in FMCG Retail. FedCSIS 2020: 59-68 - [c42]Joanna Henzel, Marek Sikora:
Gradient Boosting and Deep Learning Models Approach to Forecasting Promotions Efficiency in FMCG Retail. ICAISC (2) 2020: 336-345 - [c41]Petr Ilgner, Martin Stusek, Petr Cika, Marek Sikora:
SCADA-based Message Generator for Multi-Vendor Smart Grids: Integration and Verification of TASE.2. ICUMT 2020: 47-51 - [c40]Marek Sikora, Andrej Krivulcik, Radek Fujdiak, Petr Blazek:
Design of Advanced Slow Denial of Service Attack Generator. ICUMT 2020: 99-104 - [c39]Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak:
On Positive-Correlation-Promoting Reducts. IJCRS 2020: 213-221 - [c38]Ren-Hung Hwang, Faysal Marzuk, Marek Sikora, Piotr Cholda, Ying-Dar Lin:
Resource Management in LADNs Supporting 5G V2X Communications. VTC Fall 2020: 1-6 - [d2]Marek Sikora, Lukasz Wróbel, Adam Gudys:
Bone marrow transplant: children. UCI Machine Learning Repository, 2020 - [i4]Joanna Henzel, Marek Sikora:
Gradient Boosting Application in Forecasting of Performance Indicators Values for Measuring the Efficiency of Promotions in FMCG Retail. CoRR abs/2006.04945 (2020) - [i3]Joanna Henzel, Joanna Tobiasz, Michal Kozielski, Malgorzata Bach, Pawel Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora:
Classification supporting COVID-19 diagnostics based on patient survey data. CoRR abs/2011.12247 (2020)
2010 – 2019
- 2019
- [j19]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) - [c37]Marek Sikora, Tomas Gerlich, Lukas Malina:
On Detection and Mitigation of Slow Rate Denial of Service Attacks. ICUMT 2019: 1-5 - [i2]Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A Comprehensive Suite for Rule-Based Learning. CoRR abs/1908.01031 (2019) - 2018
- [j18]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) - [c36]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 - [c35]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 - [c34]Pawel Matyszok, Marek Sikora, Lukasz Wróbel:
Covering Approach to Action Rule Learning. BDAS 2018: 182-193 - [c33]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
- [j17]Aleksandra Gruca, Marek Sikora:
Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets. J. Biomed. Semant. 8(1): 23:1-23:14 (2017) - [j16]Lukasz Wróbel, Adam Gudys, Marek Sikora:
Learning rule sets from survival data. BMC Bioinform. 18(1): 285:1-285:13 (2017) - [j15]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) - [c32]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
- [j14]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) - [c31]Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka:
Influence of Outliers Introduction on Predictive Models Quality. BDAS 2016: 79-93 - [c30]Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel:
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS 2016: 205-211 - [c29]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 - [c28]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 - [c27]Wojciech Moczulski, Piotr Przystalka, Marek Sikora, Radoslaw Zimroz:
Modern ICT and Mechatronic Systems in Contemporary Mining Industry. IJCRS 2016: 33-42 - [c26]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
- [j13]Gregorio López, Víctor Custodio, José Ignacio Moreno, Marek Sikora, Pedro S. Moura, Norberto Fernández García:
Modeling Smart Grid neighborhoods with the ENERsip ontology. Comput. Ind. 70: 168-182 (2015) - [c25]Michal Kozielski, Adam Skowron, Lukasz Wróbel, Marek Sikora:
Regression Rule Learning for Methane Forecasting in Coal Mines. BDAS 2015: 495-504 - [c24]Michal Kozielski, Marek Sikora, Lukasz Wróbel:
DISESOR - decision support system for mining industry. FedCSIS 2015: 67-74 - [c23]Marcin Michalak, Marek Sikora, Lukasz Wróbel:
Rule quality measures settings in a sequential covering rule induction algorithm - an empirical approach. FedCSIS 2015: 109-118 - [c22]Pawel Tarsa, Jacek Danda, Jacek Wszolek, Marek Sikora:
Analysis of Urban Noise Frequency Characteristics Using a Smartphone. MCSS 2015: 124-131 - [c21]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
- [j12]Adam Gudys, Michal Wojciech Szczesniak, Marek Sikora, Izabela Makalowska:
HuntMi: an efficient and taxon-specific approach in pre-miRNA identification. BMC Bioinform. 14: 83 (2013) - [j11]Marek Sikora:
Corrigendum to "Induction and pruning of classification rules for prediction of microseismic hazards in coal mines" [Experts Systems with Applications 38 (6) (2011) 6748-6758]. Expert Syst. Appl. 40(13): 5424 (2013) - [j10]Marek Sikora, Adam Gudys:
CHIRA - Convex Hull Based Iterative Algorithm of Rules Aggregation. Fundam. Informaticae 123(2): 143-170 (2013) - [j9]Marek Sikora:
Redefinition of Decision Rules Based on the Importance of Elementary Conditions Evaluation. Fundam. Informaticae 123(2): 171-197 (2013) - [j8]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) - [c20]Ondrej Holub, Marek Sikora:
End user models for residential demand response. ISGT Europe 2013: 1-4 - [c19]Szymon Szott, Marek Sikora, Marek Natkaniec, Krzysztof Loziak:
Detecting Transmission Power Misbehaviour in Wi-Fi Networks. WiFlex 2013: 58-68 - [d1]Marek Sikora, Lukasz Wróbel:
seismic-bumps. UCI Machine Learning Repository, 2013 - 2012
- [j7]Marek Sikora, Beata Sikora:
Improving prediction models applied in systems monitoring natural hazards and machinery. Int. J. Appl. Math. Comput. Sci. 22(2): 477-491 (2012) - [c18]Aleksandra Gruca, Marek Sikora:
Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Description of Genes. AIMSA 2012: 125-134 - [c17]Marek Sikora, Adam Skowron, Lukasz Wróbel:
Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules. AIMSA 2012: 162-171 - [c16]Marcin Michalak, Marek Sikora, Patryk Ziarnik:
ORG - Oblique Rules Generator. ICAISC (2) 2012: 152-159 - [c15]Eva Jerhotová, Marek Sikora, Petr Stluka:
Dynamic Alarm Management in Next Generation Process Control Systems. APMS (2) 2012: 224-231 - [c14]Vladimir Bicik, Ondrej Holub, Karel Marik, Marek Sikora, Petr Stluka, Reinhilde D'hulst:
Platform for coordination of energy generation and consumption in residential neighborhoods. ISGT Europe 2012: 1-7 - [c13]Lukasz Wróbel, Marek Sikora, Adam Skowron:
Algorithms for Filtration of Unordered Sets of Regression Rules. MIWAI 2012: 284-295 - 2011
- [j6]Marek Sikora:
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines. Expert Syst. Appl. 38(6): 6748-6758 (2011) - [j5]Aleksandra Gruca, Marek Sikora, Andrzej Polanski:
RuleGO: a logical rules-based tool for description of gene groups by means of Gene Ontology. Nucleic Acids Res. 39(Web-Server-Issue): 293-301 (2011) - [j4]Marek Sikora, Aleksandra Gruca:
Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups. Pattern Recognit. Lett. 32(2): 258-269 (2011) - [c12]Marek Sikora, Marcin Michalak, Beata Sikora:
Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules. PReMI 2011: 345-350 - [c11]Marek Sikora, Lukasz Wróbel:
Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm. RSFDGrC 2011: 278-285 - 2010
- [j3]Marek Sikora, Aleksandra Gruca:
Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules. Int. J. Appl. Math. Comput. Sci. 20(3): 555-570 (2010) - [j2]Marek Sikora:
Decision Rule-Based Data Models Using TRS and NetTRS - Methods and Algorithms. Trans. Rough Sets 11: 130-160 (2010) - [c10]Adam Gudys, Marek Sikora:
An Algorithm for Decision Rules Aggregation. KDIR 2010: 216-225
2000 – 2009
- 2009
- [c9]Aleksandra Gruca, Marek Sikora, Lukasz Chrost, Andrzej Polanski:
RULEGO Bioinformatical Internet Service - System Architecture. CN 2009: 160-167 - [c8]Aleksandra Gruca, Michal Kozielski, Marek Sikora:
Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups. ICMMI 2009: 141-149 - 2008
- [j1]Marcin Michalak, Marek Sikora:
Decision Rule Based Data Models Using NetTRS System Overview. Trans. Rough Sets 9: 145-156 (2008) - 2006
- [c7]Marek Sikora, Marcin Michalak:
NetTRS - Induction and Postprocessing of Decision Rules. RSCTC 2006: 378-387 - [c6]Marek Sikora:
Rule Quality Measures in Creation and Reduction of Data Rule Models. RSCTC 2006: 716-725 - 2005
- [c5]Jacek Danda, Krzysztof Loziak, Marek Sikora, Rafal Watza:
Multicarrier Modulation with the Discrete Cosine Transform. Communication Systems and Applications 2005: 41-45 - [c4]Marek Sikora:
Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms. RSFDGrC (1) 2005: 383-391 - [c3]Jacek Danda, Krzysztof Loziak, Marek Sikora, Rafal Watza:
The discrete cosine multitone modulation modem construction and functionality. SIP 2005: 268-273 - 2004
- [c2]Grzegorz Drwal, Marek Sikora:
Induction of fuzzy decision rules based upon rough sets theory. FUZZ-IEEE 2004: 1391-1395 - [c1]Grzegorz Drwal, Marek Sikora:
Fuzzy Decision Support System with Rough Set Based Rules Generation Method. Rough Sets and Current Trends in Computing 2004: 727-732
Coauthor Index
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