Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarAndrzej Janusz
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – today
- 2018
[j11]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)- [c38]Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak:
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. BigData 2018: 2657-2662 - [c37]Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz:
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CIG 2018: 1-8 - [c36]Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak:
Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. FedCSIS 2018: 189-192 - [c35]Andrzej Janusz, Lukasz Grad, Dominik Slezak:
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops 2018: 422-429 - [c34]Andrzej Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Slezak, Krzysztof Stencel:
How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics. IPMU (2) 2018: 503-514 - [c33]Andrzej Janusz, Dominik Slezak:
Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. SMC 2018: 3421-3426 - [c32]Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel:
SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. WI 2018: 754-757 - [i2]Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz:
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CoRR abs/1808.04794 (2018) - 2017
- [j10]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. of AI 64: 83-94 (2017) - [j9]Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz:
Decision bireducts and decision reducts - a comparison. Int. J. Approx. Reasoning 84: 75-109 (2017) - [c31]Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka:
On the role of feature space granulation in feature selection processes. BigData 2017: 1806-1815 - [c30]Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski:
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. FedCSIS 2017: 121-125 - [c29]Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak:
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. ISMIS 2017: 697-707 - [c28]Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki:
Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) 2017: 526-539 - [i1]Andrzej Janusz, Maciej Swiechowski, Tomasz Tajmajer:
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. CoRR abs/1708.00730 (2017) - 2016
- [c27]Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel:
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS 2016: 205-211 - [e1]Víctor Flores, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber, Yiyu Yao:
Rough Sets - International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings. Lecture Notes in Computer Science 9920, 2016, ISBN 978-3-319-47159-4 [contents] - 2015
- [c26]Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak:
Knowledge Pit - A Data Challenge Platform. CS&P 2015: 191-195 - [c25]Michal Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Slezak, Bartosz Celmer, Adam Krasuski:
Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit. FedCSIS 2015: 367-373 - [c24]Andrzej Janusz, Dominik Slezak:
Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. ISMIS 2015: 19-28 - [c23]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 - [c22]Andrzej Janusz, Sebastian Stawicki, Marcin S. Szczuka, Dominik Slezak:
Rough Set Tools for Practical Data Exploration. RSKT 2015: 77-86 - 2014
- [j8]Andrzej Janusz, Dominik Slezak:
Rough Set Methods for Attribute Clustering and Selection. Applied Artificial Intelligence 28(3): 220-242 (2014) - [j7]Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen, Andrzej Janusz:
Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis. Fundam. Inform. 132(3): 423-438 (2014) - [j6]Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez:
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287: 68-89 (2014) - [j5]Andrzej Janusz:
Algorithms for Similarity Relation Learning from High Dimensional Data. Trans. Rough Sets 17: 174-292 (2014) - [c21]Lukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski, Andrzej Janusz:
A Resemblance Based Approach for Recognition of Risks at a Fire Ground. AMT 2014: 559-570 - [c20]Andrzej Janusz, Sebastian Stawicki, Hung Son Nguyen:
Adaptive Learning for Improving Semantic Tagging of Scientific Articles. FedCSIS 2014: 27-34 - [c19]Andrzej Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Slezak, Hung Son Nguyen:
Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit. FedCSIS 2014: 345-354 - [c18]Andrzej Janusz, Marcin S. Szczuka:
Assessment of data granulations in context of feature extraction problem. GrC 2014: 116-120 - [c17]Andrzej Janusz, Dominik Slezak:
Random Probes in Computation and Assessment of Approximate Reducts. RSEISP 2014: 53-64 - 2013
- [j4]Marcin S. Szczuka, Andrzej Janusz:
Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis. Trans. Rough Sets 16: 83-102 (2013) - [c16]Adam Krasuski, Andrzej Janusz:
Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats. FedCSIS 2013: 77-82 - [c15]Andrzej Janusz, Adam Krasuski, Marcin S. Szczuka:
Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types. RSFDGrC 2013: 304-314 - [p2]Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen:
Multi-label Classification of Biomedical Articles. Intelligent Tools for Building a Scientific Information Platform 2013: 199-214 - 2012
- [j3]Andrzej Janusz, Dominik Slezak, Hung Son Nguyen:
Unsupervised Similarity Learning from Textual Data. Fundam. Inform. 119(3-4): 319-336 (2012) - [j2]Andrzej Janusz:
Combining multiple predictive models using genetic algorithms. Intell. Data Anal. 16(5): 763-776 (2012) - [j1]Andrzej Janusz:
Dynamic Rule-Based Similarity Model for DNA Microarray Data. Trans. Rough Sets 15: 1-25 (2012) - [c14]Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen:
An Ensemble Approach to Multi-label Classification of Textual Data. ADMA 2012: 306-317 - [c13]Andrzej Janusz, Dominik Slezak:
Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. FedCSIS 2012: 295-302 - [c12]Andrzej Janusz, Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen:
Interactive Document Indexing Method Based on Explicit Semantic Analysis. RSCTC 2012: 156-165 - [c11]Andrzej Janusz, Hung Son Nguyen, Dominik Slezak, Sebastian Stawicki, Adam Krasuski:
JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. RSCTC 2012: 422-431 - [p1]Marcin S. Szczuka, Andrzej Janusz, Kamil Herba:
Semantic Clustering of Scientific Articles with Use of DBpedia Knowledge Base. Intelligent Tools for Building a Scientific Information Platform 2012: 61-76 - 2011
- [c10]Dominik Slezak, Andrzej Janusz:
Ensembles of Bireducts: Towards Robust Classification and Simple Representation. FGIT 2011: 64-77 - [c9]Andrzej Janusz, Sebastian Stawicki:
Applications of Approximate Reducts to the Feature Selection Problem. RSKT 2011: 45-50 - [c8]Marcin S. Szczuka, Andrzej Janusz, Kamil Herba:
Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. RSKT 2011: 394-403 - [c7]Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron:
Semantic Analytics of PubMed Content. USAB 2011: 63-74 - 2010
- [c6]Andrzej Janusz:
Utilization of Dynamic Reducts to Improve Performance of the Rule-Based Similarity Model for Highly-Dimensional Data. Web Intelligence/IAT Workshops 2010: 432-435 - [c5]
- [c4]Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan G. Bazan, Chuanjiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo:
RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. RSCTC 2010: 4-19 - [c3]Andrzej Janusz:
Combining Multiple Classification or Regression Models Using Genetic Algorithms. RSCTC 2010: 130-137
2000 – 2009
- 2009
- [c2]Andrzej Janusz:
Rule-Based Similarity for Classification. Web Intelligence/IAT Workshops 2009: 449-452 - 2008
- [c1]
Coauthor Index
maintained by 
, founded at 
, founded at 
last updated on 2019-02-16 22:36 CET by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
