Verification of the Logic of Plausible Reasoning. - Bartlomiej Sniezynski (Intelligent Information Systems, 2001)

FIPA Compliant Agent-based Decentralized Expert System. - Pawel Skrzynski; Michal Turek; Bartlomiej Sniezynski; Marek Kisiel-Dorohinicki (Intelligent Information Systems, 2002)

Probabilistic Label Algebra for the Logic of Plausible Reasoning. - Bartlomiej Sniezynski (Intelligent Information Systems, 2002)

Basic Semantics of the Logic of Plausible Reasoning. - Bartlomiej Sniezynski (ISMIS, 2002)

Proof Searching Algorithm for the Logic of Plausible Reasoning. - Bartlomiej Sniezynski (IIS, 2003)

Recommendation System Using Multistrategy Inference and Learning. - Bartlomiej Sniezynski (AWIC, 2005)

Learning in a Multi-agent Approach to a Fish Bank Game. - Bartlomiej Sniezynski; Jaroslaw Kozlak (CEEMAS, 2005)

Knowledge Visualization Using Optimized General Logic Diagrams. - Bartlomiej Sniezynski; Robert Szymacha; Ryszard S. Michalski (Intelligent Information Systems, 2005)

A Rules-to-Trees Conversion in the Inductive Database System VINLEN. - Tomasz Szydlo; Bartlomiej Sniezynski; Ryszard S. Michalski (Intelligent Information Systems, 2005)

Converting a Naive Bayes Models with Multi-valued Domains into Sets of Rules. - Bartlomiej Sniezynski (DEXA, 2006)

Multiagent Simulation of Physical Phenomena by Means of Aspect Programming. - Slawomir Bieniasz; Stanislaw Ciszewski; Bartlomiej Sniezynski (International Conference on Computational Science (3), 2006)

Learning in a Multi-agent System as a Mean for Effective Resource Management. - Bartlomiej Sniezynski; Jaroslaw Kozlak (International Conference on Computational Science (3), 2006)

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results. - Ryszard S. Michalski; Kenneth A. Kaufman; Jaroslaw Pietrzykowski; Bartlomiej Sniezynski; Janusz Wojtusiak (Intelligent Information Systems, 2006)

Converting a Naive Bayes Model into a Set of Rules. - Bartlomiej Sniezynski (Intelligent Information Systems, 2006)

Resource Management in a Multi-agent System by Means of Reinforcement Learning and Supervised Rule Learning. - Bartlomiej Sniezynski (International Conference on Computational Science (2), 2007)

Intelligent Agents and Evolvable Systems. - Krzysztof Cetnarowicz; Robert Schaefer; Bojin Zheng; Maciej Paszynski; Bartlomiej Sniezynski (ICCS (3), 2008)

An Architecture for Learning Agents. - Bartlomiej Sniezynski (ICCS (3), 2008)

Toward the New Generation of Intelligent Distributed Computing Systems. - Robert Schaefer; Krzysztof Cetnarowicz; Bojin Zheng; Bartlomiej Sniezynski (ICCS (2), 2009)

Agent Strategy Generation by Rule Induction in Predator-Prey Problem. - Bartlomiej Sniezynski (ICCS (2), 2009)

B2R: An Algorithm for Converting Bayesian Networks to Sets of Rules. - Bartlomiej Sniezynski; Tomasz Lukasik; Marek Mierzwa (DEXA (2), 2010)

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing. - Bartlomiej Sniezynski; Wojciech Wójcik; Jan D. Gehrke; Janusz Wojtusiak (ICMLA, 2010)

Agent-Based System with Learning Capabilities for Transport Problems. - Bartlomiej Sniezynski; Jaroslaw Kozlak (ICCCI (2), 2011)

Integrating Applications Developed for Heterogeneous Platforms: Building an Environment for Criminal Analysts. - Arkadiusz Swierczek; Roman Debski; Piotr Wlodek; Bartlomiej Sniezynski (MCSS, 2011)

International Conference on Computational Science, ICCS 2011 Farmer-Pest Problem: A Multidimensional Problem Domain for Comparison of Agent Learning Methods. - Bartlomiej Sniezynski; Jacek Dajda; Marcin Mlostek; Michal Pulchny (ICCS, 2011)

Comparison of Reinforcement and Supervised Learning Methods in Farmer-Pest Problem with Delayed Rewards. - Bartlomiej Sniezynski (ICCCI, 2013)

Multiagent System for Pattern Searching in Billing Data. - Lukasz Beben; Bartlomiej Sniezynski (MCSS, 2013)

Agent Strategy Generation by Rule Induction. - Bartlomiej Sniezynski (Comput. Informatics, 2013)

Comparison of strategy learning methods in Farmer-Pest problem for various complexity environments without delays. - Bartlomiej Sniezynski; Jacek Dajda (J. Comput. Sci., 2013)

Integration of Inference and Machine Learning as a Tool for Creative Reasoning. - Bartlomiej Marian Sniezynski (AAAI Fall Symposia, 2014)

Agent-based Adaptation System for Service-oriented Architectures Using Supervised Learning. - Bartlomiej Sniezynski (ICCS, 2014)

Training Example Generation Method for Supervised Learning Agents in Sequential Scenarios. - Pawel Stobiecki; Bartlomiej Sniezynski (KES, 2014)

Intelligent Information System Based on Logic of Plausible Reasoning. - Bartlomiej Sniezynski; Stanislawa Kluska-Nawarecka; Edward Nawarecki; Dorota Wilk-Kolodziejczyk (Issues and Challenges in Artificial Intelligence, 2014)

Expert System with Web Interface Based on Logic of Plausible Reasoning. - Grzegorz Legien; Bartlomiej Sniezynski; Dorota Wilk-Kolodziejczyk; Stanislawa Kluska-Nawarecka; Edward Nawarecki; Krzysztof Jaskowiec (DEXA (2), 2015)

Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections. - Mateusz Krzyszton; Bartlomiej Sniezynski (ICCCI (1), 2015)

A Strategy Learning Model for Autonomous Agents Based on Classification. - Bartlomiej Sniezynski (Int. J. Appl. Math. Comput. Sci., 2015)

Creative Expert System: Result of Inference and Machine Learning Integration. - Bartlomiej Sniezynski; Grzegorz Legien; Dorota Wilk-Kolodziejczyk; Stanislawa Kluska-Nawarecka; Edward Nawarecki; Krzysztof Jaskowiec (DEXA (1), 2016)

Learning Agent for a Service-Oriented Context-Aware Recommender System in Heterogeneous Environment. - Piotr Nawrocki; Bartlomiej Sniezynski; Jakub Czyzewski (Comput. Informatics, 2016)

Creative Expert System: Comparison of Proof Searching Strategies. - Bartlomiej Sniezynski; Grzegorz Legien; Dorota Wilk-Kolodziejczyk; Stanislawa Kluska-Nawarecka; Edward Nawarecki; Krzysztof Jaskowiec (ACIIDS (1), 2017)

The decision support system based on logic of plausible reasoning. - Dorota Wilk-Kolodziejczyk; Krzysztof Jaskowiec; Grzegorz Legien; Bartlomiej Sniezynski (ICACI, 2017)

Agent-based Decision Support System for Technology Recommendation. - Grzegorz Legien; Bartlomiej Sniezynski; Dorota Wilk-Kolodziejczyk; Stanislawa Kluska-Nawarecka; Edward Nawarecki; Krzysztof Jaskowiec (ICCS, 2017)

Autonomous Context-Based Service Optimization in Mobile Cloud Computing. - Piotr Nawrocki; Bartlomiej Sniezynski (J. Grid Comput., 2017)

Agent-Based Decision-Information System Supporting Effective Resource Management of Companies. - Jaroslaw Kozlak; Bartlomiej Sniezynski; Dorota Wilk-Kolodziejczyk; Stanislawa Kluska-Nawarecka; Krzysztof Jaskowiec; Malgorzata Zabinska (ICCCI (1), 2018)

A multi-agent blackboard architecture for supporting legal decision-making. - Lukasz Szymanski; Bartlomiej Sniezynski; Bipin Indurkhya (Comput. Sci., 2018)

Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning. - Piotr Nawrocki; Bartlomiej Sniezynski (J. Netw. Syst. Manag., 2018)

Multi-agent Environment for Decision-Support in Production Systems Using Machine Learning Methods. - Jaroslaw Kozlak; Bartlomiej Sniezynski; Dorota Wilk-Kolodziejczyk; Albert Lesniak; Krzysztof Jaskowiec (ICCS (2), 2019)

Adapting Everyday Manipulation Skills to Varied Scenarios. - Pawel Gajewski; Paulo Abelha Ferreira; Georg Bartels; Chaozheng Wang; Frank Guerin; Bipin Indurkhya; Michael Beetz; Bartlomiej Sniezynski (ICRA, 2019)

On the Role of Trust in Child-Robot Interaction. - Paulina Zguda; Bartlomiej Sniezynski; Bipin Indurkhya; Anna Kolota; Mateusz Jarosz; Filip Sondej; Takamune Izui; Maria Dziok; Anna Belowska; Wojciech Jedras; Gentiane Venture (RO-MAN, 2019)

Detecting Gaze Direction Using Robot-Mounted and Mobile-Device Cameras. - Mateusz Jarosz; Piotr Nawrocki; Leszek Placzkiewicz; Bartlomiej Sniezynski; Marcin Zieinski; Bipin Indurkhya (Comput. Sci., 2019)

Agent-Based System for Mobile Service Adaptation Using Online Machine Learning and Mobile Cloud Computing Paradigm. - Piotr Nawrocki; Bartlomiej Sniezynski; Jakub Kolodziej (Comput. Informatics, 2019)

VM Reservation Plan Adaptation Using Machine Learning in Cloud Computing. - Bartlomiej Sniezynski; Piotr Nawrocki; Michal Wilk; Marcin Jarzab; Krzysztof Zielinski (J. Grid Comput., 2019)

Adaptable mobile cloud computing environment with code transfer based on machine learning. - Piotr Nawrocki; Bartlomiej Sniezynski; H. Slojewski (Pervasive Mob. Comput., 2019)

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects. - Piotr Nawrocki; Bartlomiej Sniezynski; Joanna Kolodziej; Pawel Szynkiewicz (CCGRID, 2020)

Adaptive Context-Aware Energy Optimization for Services on Mobile Devices with Use of Machine Learning. - Piotr Nawrocki; Bartlomiej Sniezynski (Wirel. Pers. Commun., 2020)

Heterogeneous Information Access System with a Natural Language Interface in the Context of Organization of Events. - Piotr Nawrocki; Dominik Radziszowski; Bartlomiej Sniezynski (ACIIDS (Companion), 2021)

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Michael Baron; Nathalie Japkowicz (IEEE BigData, 2021)

Autoencoder-based IDS for cloud and mobile devices. - Kamil Faber; Lukasz Faber; Bartlomiej Sniezynski (CCGRID, 2021)

Security-aware job allocation in mobile cloud computing. - Piotr Nawrocki; Jakub Pajor; Bartlomiej Sniezynski; Joanna Kolodziej (CCGRID, 2021)

Pruned Simulation-Based Optimal Sailboat Path Search Using Micro HPC Systems. - Roman Debski; Bartlomiej Sniezynski (ICCS (4), 2021)

Electrocardiogram Quality Assessment with Autoencoder. - Jan Garus; Mateusz Pabian; Marcin Wisniewski; Bartlomiej Sniezynski (ICCS (3), 2021)

Multi-Platform Intelligent System for Multimodal Human-Computer Interaction. - Mateusz Jarosz; Piotr Nawrocki; Bartlomiej Sniezynski; Bipin Indurkhya (Comput. Informatics, 2021)

A Comparison of Native and Cross-Platform Frameworks for Mobile Applications. - Piotr Nawrocki; Krzysztof Wrona; Mateusz Marczak; Bartlomiej Sniezynski (Computer, 2021)

Adaptive context-aware service optimization in mobile cloud computing accounting for security aspects. - Piotr Nawrocki; Bartlomiej Sniezynski; Joanna Kolodziej; Pawel Szynkiewicz (Concurr. Comput. Pract. Exp., 2021)

Adaptive resource planning for cloud-based services using machine learning. - Piotr Nawrocki; Mikolaj Grzywacz; Bartlomiej Sniezynski (J. Parallel Distributed Comput., 2021)

Active Lifelong Anomaly Detection with Experience Replay. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (DSAA, 2022)

Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. - Arkadiusz Pajor; Jakub Zolnierek; Bartlomiej Sniezynski; Arkadiusz Sitek (ICCS (3), 2022)

LIFEWATCH: Lifelong Wasserstein Change Point Detection. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Michael Baron; Nathalie Japkowicz (IJCNN, 2022)

Modeling adaptive security-aware task allocation in mobile cloud computing. - Piotr Nawrocki; Jakub Pajor; Bartlomiej Sniezynski; Joanna Kolodziej (Simul. Model. Pract. Theory, 2022)

Distributed Continual Intrusion Detection: A Collaborative Replay Framework. - Kamil Faber; Bartlomiej Sniezynski; Roberto Corizzo (IEEE Big Data, 2023)

Prediction of Casting Mechanical Parameters Based on Direct Microstructure Image Analysis Using Deep Neural Network and Graphite Forms Classification. - Bartlomiej Sniezynski; Dorota Wilk-Kolodziejczyk; Radoslaw Lazarz; Krzysztof Jaskowiec (ICCS (5), 2023)

Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (CoRR, 2023)

Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. - Marcin Pietron; Dominik Zurek; Bartlomiej Sniezynski (J. Comput. Sci., 2023)

VLAD: Task-agnostic VAE-based lifelong anomaly detection. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (Neural Networks, 2023)

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (IEEE Access, 2024)

pyCLAD: The universal framework for continual lifelong anomaly detection. - Kamil Faber; Bartlomiej Sniezynski; Nathalie Japkowicz; Roberto Corizzo (SoftwareX, 2025)