Andrzej Janusz

According to our database, Andrzej Janusz authored at least 77 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform.

Aleksandar M. Rakicevic, Pavle D. Milosevic, Ivana T. Dragovic, Ana M. Poledica, Milica M. Zukanovic, Andrzej Janusz, Dominik Slezak

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

A practical study of methods for deriving insightful attribute importance rankings using decision bireducts.

Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel

Inf. Sci., October, 2023

BrightBox - A rough set based technology for diagnosing mistakes of machine learning models.

Andrzej Janusz, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak

Appl. Soft Comput., July, 2023

Diagnostic Explainability by BrightBox.

Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak

ERCIM News, 2023

On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning.

Daniel Kaluza, Andrzej Janusz, Dominik Slezak

Proceedings of the Rough Sets - International Joint Conference, 2023

Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction.

Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron

Proceedings of the Rough Sets - International Joint Conference, 2023

Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report.

Andrzej Janusz, Dominik Slezak

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract).

Andrzej Janusz, Sebastian Stawicki

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results.

Michal Czerwinski, Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzeczek, Andrzej Janusz, Marek Hermansa, Lukasz Wawrowski, Artur Kozlowski

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations.

Daniel Kaluza, Andrzej Janusz, Dominik Slezak

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays.

Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players.

Andrzej Janusz, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak

Inf. Sci., 2022

Prescriptive Analytics for Optimization of FMCG Delivery Plans.

Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions.

Andrzej Janusz, Dominik Slezak

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results.

Andrzej Janusz, Antoni Jamiolkowski, Michal Okulewicz

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images.

Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak

Proceedings of the IEEE International Conference on Big Data, 2022

EVEAL - Expected Variance Estimation for Active Learning.

Daniel Kaluza, Andrzej Janusz, Dominik Slezak

Proceedings of the IEEE International Conference on Big Data, 2022

Data-Driven Resilient Supply Management Supported by Demand Forecasting.

Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Schema matching using Gaussian mixture models with Wasserstein distance.

Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak

CoRR, 2021

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning.

Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak

Big Data Res., 2021

Predicting Victories in Video Games - IEEE BigData 2021 Cup Report.

Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

On Positive-Correlation-Promoting Reducts.

Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak

Proceedings of the Rough Sets - International Joint Conference, 2020

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit.

Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results.

Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction.

Andrzej Janusz, Lukasz Grad, Marek Grzegorowski

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

IEEE BigData 2019 Cup: Suspicious Network Event Recognition.

Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines.

Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel

Inf. Sci., 2018

SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players.

Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches.

Andrzej Janusz, Dominik Slezak

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics.

Andrzej Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Slezak, Krzysztof Stencel

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games.

Andrzej Janusz, Lukasz Grad, Dominik Slezak

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition.

Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms.

Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images.

Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Decision bireducts and decision reducts - a comparison.

Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz

Int. J. Approx. Reason., 2017

Predicting seismic events in coal mines based on underground sensor measurements.

Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak

Eng. Appl. Artif. Intell., 2017

Toward Interactive Attribute Selection with Infolattices - A Position Paper.

Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki

Proceedings of the Rough Sets - International Joint Conference, 2017

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations.

Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge.

Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

On the role of feature space granulation in feature selection processes.

Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge.

Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Rough Set Tools for Practical Data Exploration.

Andrzej Janusz, Sebastian Stawicki, Marcin S. Szczuka, Dominik Slezak

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Mining Data from Coal Mines: IJCRS'15 Data Challenge.

Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold.

Andrzej Janusz, Dominik Slezak

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit.

Michal Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Slezak, Bartosz Celmer, Adam Krasuski

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Knowledge Pit - A Data Challenge Platform.

Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak

Proceedings of the 24th International Workshop on Concurrency, 2015

2014

Algorithms for Similarity Relation Learning from High Dimensional Data.

Andrzej Janusz

Trans. Rough Sets, 2014

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".

Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez

Inf. Sci., 2014

Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis.

Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen, Andrzej Janusz

Fundam. Informaticae, 2014

Rough Set Methods for Attribute Clustering and Selection.

Andrzej Janusz, Dominik Slezak

Appl. Artif. Intell., 2014

Random Probes in Computation and Assessment of Approximate Reducts.

Andrzej Janusz, Dominik Slezak

Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

Assessment of data granulations in context of feature extraction problem.

Andrzej Janusz, Marcin S. Szczuka

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Adaptive Learning for Improving Semantic Tagging of Scientific Articles.

Andrzej Janusz, Sebastian Stawicki, Hung Son Nguyen

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit.

Andrzej Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Slezak, Hung Son Nguyen

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

A Resemblance Based Approach for Recognition of Risks at a Fire Ground.

Lukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski, Andrzej Janusz

Proceedings of the Active Media Technology - 10th International Conference, 2014

2013

Multi-label Classification of Biomedical Articles.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2013

Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis.

Marcin S. Szczuka, Andrzej Janusz

Trans. Rough Sets, 2013

Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types.

Andrzej Janusz, Adam Krasuski, Marcin S. Szczuka

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats.

Adam Krasuski, Andrzej Janusz

Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

2012

Semantic Clustering of Scientific Articles with Use of DBpedia Knowledge Base.

Marcin S. Szczuka, Andrzej Janusz, Kamil Herba

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2012

Dynamic Rule-Based Similarity Model for DNA Microarray Data.

Andrzej Janusz

Trans. Rough Sets, 2012

Combining multiple predictive models using genetic algorithms.

Andrzej Janusz

Intell. Data Anal., 2012

Unsupervised Similarity Learning from Textual Data.

Andrzej Janusz, Dominik Slezak, Hung Son Nguyen

Fundam. Informaticae, 2012

Interactive Document Indexing Method Based on Explicit Semantic Analysis.

Andrzej Janusz, Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen

Proceedings of the Rough Sets and Current Trends in Computing, 2012

JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers.

Andrzej Janusz, Hung Son Nguyen, Dominik Slezak, Sebastian Stawicki, Adam Krasuski

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data.

Andrzej Janusz, Dominik Slezak

Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

An Ensemble Approach to Multi-label Classification of Textual Data.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Semantic Analytics of PubMed Content.

Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron

Proceedings of the Information Quality in e-Health, 2011

Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia.

Marcin S. Szczuka, Andrzej Janusz, Kamil Herba

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Applications of Approximate Reducts to the Feature Selection Problem.

Andrzej Janusz, Sebastian Stawicki

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Ensembles of Bireducts: Towards Robust Classification and Simple Representation.

Dominik Slezak, Andrzej Janusz

Proceedings of the Future Generation Information Technology, 2011

2010

RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment.

Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan G. Bazan, Chuanjiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo

Proceedings of the Rough Sets and Current Trends in Computing, 2010

Combining Multiple Classification or Regression Models Using Genetic Algorithms.

Andrzej Janusz

Proceedings of the Rough Sets and Current Trends in Computing, 2010

Discovering Rules-Based Similarity in Microarray Data.

Andrzej Janusz

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Utilization of Dynamic Reducts to Improve Performance of the Rule-Based Similarity Model for Highly-Dimensional Data.

Andrzej Janusz

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

2009

Rule-Based Similarity for Classification.

Andrzej Janusz

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008

Similarity Relation in Classification Problems.

Andrzej Janusz

Proceedings of the Rough Sets and Current Trends in Computing, 2008