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Michal Kozielski
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2020 – today
- 2024
- [i2]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
- [j4]Joanna Badura, Marek Hermansa, Michal Kozielski, Marek Sikora, Lukasz Wróbel:
Separate-and-conquer survival action rule learning. Knowl. Based Syst. 280: 110981 (2023) - 2022
- [j3]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) - [j2]Dawid Macha, Michal Kozielski, Lukasz Wróbel, Marek Sikora:
RuleXAI - A package for rule-based explanations of machine learning model. SoftwareX 20: 101209 (2022) - [c30]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 - 2020
- [i1]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
- [c29]Michal Kozielski, Krzysztof Koziel:
Ensembles of Active Adaptive Incremental Classifiers. ICMMI 2019: 66-76 - 2018
- [j1]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) - [c28]Michal Kozielski, Zbigniew Laskarzewski:
Matching a Model to a User - Application of Meta-Learning to LPG Consumption Prediction. INCoS 2018: 495-503 - 2017
- [c27]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 - [c26]Michal Kozielski, Katarzyna Dusza, Józef Flakus, Krzysztof Kozlowski, Sebastian Musial, Bartlomiej Szwej:
Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations. ISMIS 2017: 728-734 - 2016
- [c25]Michal Kozielski:
A Meta-Learning Approach to Methane Concentration Value Prediction. BDAS 2016: 716-726 - [c24]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 - 2015
- [c23]Wojciech Kijas, Michal Kozielski:
Integration of Facebook Online Social Network User Profiles into a Knowledgebase. BDAS 2015: 245-255 - [c22]Michal Kozielski, Adam Skowron, Lukasz Wróbel, Marek Sikora:
Regression Rule Learning for Methane Forecasting in Coal Mines. BDAS 2015: 495-504 - [c21]Michal Kozielski, Marek Sikora, Lukasz Wróbel:
DISESOR - decision support system for mining industry. FedCSIS 2015: 67-74 - 2014
- [c20]Lukasz Stypka, Michal Kozielski:
Methods of Gene Ontology Term Similarity Analysis in Graph Database Environment. BDAS 2014: 345-354 - [c19]Mahdi Hamdani, Patrick Doetsch, Michal Kozielski, Amr El-Desoky Mousa, Hermann Ney:
The RWTH Large Vocabulary Arabic Handwriting Recognition System. Document Analysis Systems 2014: 111-115 - [c18]Michal Kozielski, Patrick Doetsch, Mahdi Hamdani, Hermann Ney:
Multilingual Off-Line Handwriting Recognition in Real-World Images. Document Analysis Systems 2014: 121-125 - [c17]Patrick Doetsch, Michal Kozielski, Hermann Ney:
Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition. ICFHR 2014: 279-284 - [c16]Michal Kozielski, Martin Matysiak, Patrick Doetsch, Ralf Schlüter, Hermann Ney:
Open-Lexicon Language Modeling Combining Word and Character Levels. ICFHR 2014: 343-348 - [c15]Michal Kozielski, Malte Nuhn, Patrick Doetsch, Hermann Ney:
Towards Unsupervised Learning for Handwriting Recognition. ICFHR 2014: 549-554 - [c14]Michal Kozielski, Aleksandra Gruca:
Soft Approach to Identification of Cohesive Clusters in Two Gene Representations. KES 2014: 281-289 - 2013
- [c13]Christian Plahl, Michal Kozielski, Ralf Schlüter, Hermann Ney:
Feature combination and stacking of recurrent and non-recurrent neural networks for LVCSR. ICASSP 2013: 6714-6718 - [c12]Michal Kozielski, David Rybach, Stefan Hahn, Ralf Schlüter, Hermann Ney:
Open vocabulary handwriting recognition using combined word-level and character-level language models. ICASSP 2013: 8257-8261 - [c11]Jaroslaw Jankowski, Michal Kozielski, Wojciech Filipowski, Radoslaw Michalski:
The Diffusion of Viral Content in Multi-layered Social Networks. ICCCI 2013: 30-39 - [c10]Michal Kozielski, Patrick Doetsch, Hermann Ney:
Improvements in RWTH's System for Off-Line Handwriting Recognition. ICDAR 2013: 935-939 - 2012
- [c9]Michal Kozielski, Wojciech Filipowski, Dominik Popowicz, Lukasz Warchal:
Density-based Community Identification and Visualisation. ASONAM 2012: 1149-1152 - [c8]Przemyslaw Skurowski, Michal Kozielski:
Investigating human color harmony preferences using unsupervised machine learning. CGIV 2012: 59-64 - [c7]Michal Kozielski, Jens Forster, Hermann Ney:
Moment-Based Image Normalization for Handwritten Text Recognition. ICFHR 2012: 256-261 - 2011
- [c6]Dominik Popowicz, Piotr Bródka, Przemyslaw Kazienko, Michal Kozielski:
Ask Friends for Help: A Collaborative Query Answering System. CDVE 2011: 110-113 - [c5]Aleksandra Gruca, Michal Kozielski:
Correlation of Genes Similarity Measures Based on GO Terms Similarity and Gene Expression Values. ICMMI 2011: 137-144 - [c4]Michal Kozielski, Aleksandra Gruca:
Evaluation of Semantic Term and Gene Similarity Measures. PReMI 2011: 406-411
2000 – 2009
- 2009
- [c3]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 - 2007
- [c2]Michal Kozielski:
Multilevel Conditional Fuzzy C-Means Clustering of XML Documents. PKDD 2007: 532-539 - 2006
- [c1]Michal Kozielski:
Improving the Results and Performance of Clustering Bit-encoded XML Documents. ICDM Workshops 2006: 60-64
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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