Publikacje

Andrzej Janusz

Liczba publikacji: 82

2023

• Andrzej Janusz , Dominik Ślęzak , Sebastian Stawicki, Krzysztof Stencel , A practical study of methods for deriving insightful attribute importance rankings using decision bireducts, Information Sciences, 645 2023, s. 119354, 1-19. Zobacz w PBN
• Michał Czerwiński, Marcin Michalak, Piotr Biczyk, Błażej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzęczek, Andrzej Janusz , Marek Hermansa, Łukasz Wawrowski, Artur Kozłowski, Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results, Annals of Computer Science and Information Systems, 18th Conference on Computer Science and Intelligence Systems, Warszawa, Poland, 17 września 2023 - 20 września 2023, 35 2023, s. 1289--1293. Zobacz w PBN
• Andzelika Zalewska-Kupccu, Andrzej Janusz , Dominik Ślęzak , Diagnostic Explainability by BrightBox, ERCIM News, 2023 2023. Zobacz w PBN
• Mateusz Wnuk, Jan Dziuba, Andrzej Janusz , Dominik Ślęzak , IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays, IEEE International Conference on Big Data [BigData], Sorrento, Italy 15-18 December 2023, Sorrento, Italy, 15 grudnia 2023 - 18 grudnia 2023. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 października 2023 - 8 października 2023, 14481 2023, s. 479-494. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report, 2023 IEEE International Conference on Multimedia and Expo Workshops, Brisbane, Australia, 10 lipca 2023 - 14 lipca 2023. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial – Extended Abstract), Annals of Computer Science and Information Systems, 18th Conference on Computer Science and Intelligence Systems, Warszawa, Poland, 17 września 2023 - 20 września 2023, 35 2023, s. 71. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations, 26th European Conference on Artificial Intelligence ECAI 2023, Kraków, Poland, 30 września 2023 - 4 października 2023, 372 2023, s. 1207--1214. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Grzegorz Śliwa, Łukasz Marcinowski, Andrzej Skowron, Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 października 2023 - 8 października 2023. Zobacz w PBN

2022

• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , EVEAL - Expected Variance Estimation for Active Learning, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN
• Marcin Szczuka, Andrzej Janusz , Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Ślęzak , IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4 września 2022 - 7 września 2022. Zobacz w PBN
• Andrzej Janusz , Daniel Kałuża, Maciej Matraszek, Łukasz Grad, Maciej Świechowski, Dominik Ślęzak , Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players, Information Sciences, 617 2022, s. 193-210. Zobacz w PBN
• Andrzej Janusz , Antoni Jamiolkowski, Michal Okulewicz, Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4 września 2022 - 7 września 2022, 30 2022, s. 399-402. Zobacz w PBN

2021

• Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz , Petre Lameski, Cas Apanowicz, Dominik Ślęzak , Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning, Big Data Research, 25 2021, s. 1-13. Zobacz w PBN
• Maciej Matraszek, Andrzej Janusz , Maciej Świechowski, Dominik Ślęzak , Predicting Victories in Video Games - IEEE BigData 2021 Cup Report, 2021. Zobacz w PBN

2020

• Andrzej Janusz , Dominik Ślęzak , Analytics over Multi-sensor Time Series Data -- A Case-Study on Prediction of Mining Hazards, ICITG 2019: Information Technology in Geo-Engineering, Guimarães, Portugal, 29 września 2019 - 2 października 2019. Zobacz w PBN
• Andrzej Janusz , Mateusz Przyborowski, Piotr Biczyk, Dominik Ślęzak , Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit, 15th CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, Sofia, Bulgaria, 6 września 2020 - 9 września 2020, 21 2020, s. 77-80. Zobacz w PBN
• Joanna Henzel, Andrzej Janusz , Marek Sikora, Dominik Ślęzak , On Positive-Correlation-Promoting Reducts, International Joint Conference on Rough Sets IJCRS 2020, Havana, Cuba, 29 czerwca 2020 - 3 lipca 2020, 12179 2020, s. 213--221. Zobacz w PBN
• Andrzej Janusz , Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Ślęzak , Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results, 2020 IEEE International Conference on Big Data, Atlanta, the United States of America, 10 grudnia 2020 - 13 grudnia 2020. Zobacz w PBN

2019

• Andrzej Janusz , Łukasz Grad , Marek Grzegorowski, Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction, ACSIS-Annals of Computer Science and Information Systems, 14th FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, Leipzig, Germany, 1 września 2019 - 4 września 2019. Zobacz w PBN
• Andrzej Janusz , Daniel Kałuża , Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Ślęzak , IEEE BigData 2019 Cup: Suspicious Network Event Recognition, 2019 IEEE International Conference on Big Data, Los Angeles, the United States of America, 9 grudnia 2019 - 12 grudnia 2019. Zobacz w PBN

2018

• Dominik Ślęzak , Marek Grzegorowski, Andrzej Janusz , Michał Kozielski, Thi sinh hoa Nguyen, Marek Sikora, Sebastian Stawicki, Łukasz 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, Information Sciences, 451/452 2018, s. 112-133. Zobacz w PBN
• Krzysztof Ciebiera, Michal Drewniak, Andrzej Janusz , Sebastian Stawicki, Krzysztof Stencel , Dominik Ślęzak , How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics, 17th International Conference, IPMU 2018, Cádiz, Spain, 11 czerwca 2018 - 15 czerwca 2018, 854 2018, s. 503-514. Zobacz w PBN
• Andrzej Janusz , Maciej Świechowski, Tomasz Tajmajer, Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms, 2018 IEEE Conference on Computational Intelligence and Games, Maastricht, the Netherlands, 14 sierpnia 2018 - 17 sierpnia 2018. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches, 2018 IEEE International Conference on Systems, Man, and Cybernetics , Miyazaki, Japan, 7 października 2018 - 10 października 2018. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Krzysztof Stencel , Dominik Ślęzak , SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players, 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018. Zobacz w PBN
• Lukasz Grad, Andrzej Janusz , Jacek Puczniewski, Tomasz Tajmajer, Dominik Ślęzak , Maciej Świechowski, Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition, FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS 2018, Poznań, Poland, 9 września 2018 - 12 września 2018, 15 2018, s. 189-192. Zobacz w PBN
• Piotr Biczyk, Łukasz Grad, Andrzej Janusz , Mateusz Przyborowski, Tomasz Tajmajer, Dominik Ślęzak , Toward Machine Learning on Granulated Data – a Case of Compact Autoencoder-based Representations of Satellite Images, 2018 IEEE International Conference on Big Data, Seattle, the United States of America, 10 grudnia 2018 - 13 grudnia 2018. Zobacz w PBN
• Łukasz Grad, Andrzej Janusz , Dominik Ślęzak , Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games, 2018 IEEE International Conference on Data Mining Workshops, 2018, s. 422-429. Zobacz w PBN

2017

• Sebastian Stawicki, Dominik Ślęzak , Andrzej Janusz , Sebastian Widz, Decision bireducts and decision reducts - a comparison, International Journal of Approximate Reasoning, 84 2017, s. 75-109. Zobacz w PBN
• Andrzej Janusz , Tomasz Tajmajer, Maciej Świechowski, Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge, Annals of Computer Science and Information Systems, 2017 Federated Conference on Computer Science and Information Systems, Praga, Czechia, 11 2017, s. 121–125. Zobacz w PBN
• Mathurin Aché, Andrzej Janusz , Kamil Żbikowski, Dominik Ślęzak , Marzena KRYSZKIEWICZ, Henryk RYBIŃSKI, Piotr Gawrysiak, ISMIS 2017 data mining competition: Trading based on recommendations, International Symposium on Methodologies for Intelligent Systems - Foundations of Intelligent Systems, Warszawa, Poland, 26 czerwca 2017 - 29 czerwca 2017. Zobacz w PBN
• Adam Gudyś, Andrzej Janusz , Marek Sikora, Tomasz Stęclik, Łukasz Wróbel, Dominik Ślęzak , Moduł analityczny, 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marcin Szczuka, Dominik Ślęzak , On the role of feature space granulation in feature selection processes, 2017 IEEE International Conference on Big Data (Big Data), Boston, the United States of America, 11 grudnia 2017 - 14 grudnia 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marcin Michalak, Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Predicting seismic events in coal mines based on underground sensor measurements, Engineering Applications of Artificial Intelligence, 64 2017, s. 83-94. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Michał Kozielski, Zdzisław Krzystanek, Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Sebastian Stawicki, Dominik Ślęzak , Toward Interactive Attribute Selection with Infolattices - A Position Paper, International Joint Conference on Rough Sets, Olsztyn, Poland, 3 lipca 2017 - 7 lipca 2017. Zobacz w PBN

2016

• Andrzej Janusz , Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge, Federated Conference on Computer Science and Information Systems, 2016. Zobacz w PBN
• Victor Flores, Fernando Gomide, Andrzej Janusz , Claudio Meneses, Duoqian Miao, Georg Peters, Guoyin Wang, Richard Weber, Yiyu Yao, Dominik Ślęzak , Rough Sets. International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings, 2016. Zobacz w PBN

2015

• Andrzej Janusz , Dominik Ślęzak , Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold, 22nd International Symposium on Methodologies for Intelligent Systems, Lyon, France, 21 października 2015 - 23 października 2015. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Sebastian Stawicki, Mariusz Rosiak, Knowledge Pit - A Data Challenge Platform, Proceedings of the 24th International Workshop on Concurrency, Specification and Programming, Rzeszów, Poland, 28 września 2015 - 30 września 2015. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marek Sikora, Sebastian Stawicki, Piotr Wojtas, Łukasz Wróbel, Dominik Ślęzak , Mining Data from Coal Mines: IJCRS'15 Data Challenge, RSFDGrC 2015 - 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Tianjin, China, 20 listopada 2015 - 23 listopada 2015. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Marcin Szczuka, Dominik Ślęzak , Rough Set Tools for Practical Data Exploration, 10th International Conference on Rough Sets and Knowledge Technology, Tianjin, China, 20 listopada 2015 - 23 grudnia 2015. Zobacz w PBN
• Bartosz Celmer, Andrzej Janusz , Adam Krasuski, Michał Meina, Krzysztof Rykaczewski, Dominik Ślęzak , Tagging Firefighter Activities at the Emergency Scene: Summary of AAIA'15 Data Mining Competition at Knowledge Pit, 2015 Federated Conference on Computer Science and Information Systems, Łódź, Poland, 2015. Zobacz w PBN

2014

• Andrzej Janusz , Adam Krasuski, Andrzej Pietruszka, Łukasz Sosnowski, A Resemblance Based Approach for Recognition of Risks at a Fire Ground, Active Media Technology - 10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings, 2014. Zobacz w PBN
• Andrzej Janusz , Hung Son Nguyen , Sebastian Stawicki, Adaptive Learning for Improving Semantic Tagging of Scientific Articles, Federated Conference on Computer Science and Information Systems, Warszawa, Poland, 7 września 2014 - 10 września 2014. Zobacz w PBN
• Andrzej Janusz , Algorithms for Similarity Relation Learning from High Dimensional Data, Transactions on Rough Sets XVII, 17 2014, s. 174-292. Zobacz w PBN
• Andrzej Janusz , Marcin Szczuka, Assessment of data granulations in context of feature extraction problem, 2014 IEEE International Conference on Granular Computing, Noboribetsu, Japan, 22 października 2014 - 24 października 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , José Manuel Benítez, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Lala Septem Riza, Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”, Information Sciences, 287 2014, s. 68-89. Zobacz w PBN
• Andrzej Janusz , Hung Son Nguyen , Adam Krasuski, Wojciech Świeboda, Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis, Fundamenta Informaticae, 132 (3) 2014, s. 423-438. Zobacz w PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Mariusz Rosiak, Sebastian Stawicki, Dominik Ślęzak , Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit, Federated Conference on Computer Science and Information Systems, Warszawa, Poland, 7 września 2014 - 10 września 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Random Probes in Computation and Assessment of Approximate Reducts, Rough Sets and Intelligent Systems Paradigms, 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Rough Set Methods for Attribute Clustering and Selection, Applied Artificial Intelligence, 2014. Zobacz w PBN

2013

• Andrzej Janusz , Adam Krasuski, Marcin Szczuka, Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types, Joint Rough Set Symposium 2013, Halifax, Canada, 11 października 2013 - 14 października 2013. Zobacz w PBN
• Marcin Tatjewski, Hung Son Nguyen , Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Andrzej Janusz , Multi-label Classification of Biomedical Articles, Intelligent Tools for Building a Scientific Information Platform. Advanced Architectures and Solutions, 2013. Zobacz w PBN
• Andrzej Janusz , Marcin Szczuka, Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis, LECTURE NOTES IN COMPUTER SCIENCE TRANSACTIONS ON ROUGH SETS, 2013. Zobacz w PBN
• Adam Krasuski, Andrzej Janusz , Semantic tagging of heterogeneous data: Labeling Fire&Rescue incidents with threats, Federated Conference on Computer Science and Information Systems FedCSIS 2013, Kraków, Poland, 8 września 2013 - 11 września 2013. Zobacz w PBN

2012

• Andrzej Janusz , Karol Kurach, Hung Son Nguyen , Krzysztof Pawłowski, Łukasz Romaszko, Marcin Tatjewski, An Ensemble Approach to Multi-label Classification of Textual Data, Advanced Data Mining and Applications, 2012. Zobacz w PBN
• Andrzej Janusz , Combining multiple predictive models using genetic algorithms, Intelligent Data Analysis, 2012. Zobacz w PBN
• Andrzej Janusz , Dynamic rule-based similarity model for DNA microarray data, 2012. Zobacz w PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Wojciech Świeboda, Interactive document indexing method based on explicit semantic analysis, 2012. Zobacz w PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Sebastian Stawicki, Dominik Ślęzak , JRS’2012 Data Mining Competition: Topical Classification of Biomedical Research Papers, 8th International Conference on Rough Sets and Current Trends in Computing, 2012. Zobacz w PBN
• Andrzej Janusz , Marcin Szczuka, Semantic clustering of scientific articles using explicit semantic analysis, 2012. Zobacz w PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Semantic clustering of scientific articles with use of DBpedia Knowledge Base, Computer Science, 2012. Zobacz w PBN
• Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Unsupervised Similarity Learning from Textual Data, Fundamenta Informaticae, 2012. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data, Federated Conference on Computer Science and Information Systems, 2012. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Utilization of attribute Clustering methods for scalable computation of reducts from high-dimensional data, Computer Science and Information Systems, 2012. Zobacz w PBN

2011

• Dominik Ślęzak , Andrzej Janusz , An unsupervised model for rule-based similarity learning from textual data, 2011. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Applications of approximate reducts to the feature selection problem, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Clustering of rough set related documents with use of knowledge from DBpedia, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj (eds.), Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Ensembles of bireducts: towards robust classification and simple representation, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Jan G. Bazan, Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Wojciech Świeboda, Semantic analytics of PubMed content, Lecture Notes in Computer Science, 2011. Zobacz w PBN

2010

• Andrzej Janusz , Combining Multiple Classification or Regression Models Using Genetic Algorithms, International Conference on Rough Sets and Current Trends in Computing, 2010. Zobacz w PBN
• Andrzej Janusz , Discovering Rules-based Similarity in Microarray Data, Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), 2010. Zobacz w PBN
• Jan G. Bazan, Matko Bošnjak, Ze Chen, Gamberger Dragan, Juan Gao, McLachlan Geoffrey J., Lihe Guan, Feng Hu, Tian-Hsiang Huang, Andrzej Janusz , Chuan Jiang Luo, Huan Luo, Hung Son Nguyen , Yuanxia Shen, Nikulin Vladimir, Guoyin Wang, Marcin Wojnarski, RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment, 7th International Conference on Rough Sets and Current Trends in Computing, Warszawa, Poland, 28 czerwca 2010 - 30 czerwca 2010. Zobacz w PBN

2008

• Andrzej Janusz , Similarity Relation in Classification Problems, Rough Sets and Current Trends in Computing, Akron, the United States of America, 2008. Zobacz w PBN

Inne

• Marek Grzegorowski, Andrzej Janusz , Jarosław Litwin, Łukasz Marcinowski, Data-Driven Resilient Supply Management Supported by Demand Forecasting, Recent Challenges in Intelligent Information and Database Systems: 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, , s. 122-134. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Stanisław Łażewski, Monika Jankowska, Maciej Świechowski, Prescriptive Analytics for Optimization of FMCG Delivery Plans, Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I, , s. 44-53. Zobacz w PBN
• Andrzej Janusz , Marek Grzegorowski, Michał Kozielski, Zdzisław Krzystanek, Marek Sikora, Dominik Ślęzak , Łukasz Wróbel, Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, , s. 199-213. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations, 21st European Conference on Artificial Intelligence. Zobacz w PBN