B. Sniezynski

发表

Neural Network Modelling Studies of Steam Oxidised Kinetic Behaviour of Advanced Steels and Ni-based alloys at 800 °C for 3000 hours

T. Dudziak, V. Deodeshmukh, M. Witkowska, 2018 .

Multi-Platform Intelligent System for Multimodal Human-Computer Interaction

Bipin Indurkhya, Piotr Nawrocki, Bartlomiej Sniezynski, 2021, Computing and informatics.

The Heuristic Model Based on LPR in the Context of Material Conversion

D. Wilk-Kołodziejczyk, B. Sniezynski, K. Jaśkowiec, 2017 .

Adaptive context‐aware service optimization in mobile cloud computing accounting for security aspects

Piotr Nawrocki, Joanna Kolodziej, Bartlomiej Sniezynski, 2020, Concurr. Comput. Pract. Exp..

LIFEWATCH: Lifelong Wasserstein Change Point Detection

N. Japkowicz, Roberto Corizzo, B. Sniezynski, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Agent Strategy Generation by Rule Induction

Bartlomiej Sniezynski, B. Sniezynski, 2014, Comput. Informatics.

Active Lifelong Anomaly Detection with Experience Replay

N. Japkowicz, Roberto Corizzo, B. Sniezynski, 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).

A multi-agent blackboard architecture for supporting legal decision-making

Bipin Indurkhya, Bartlomiej Sniezynski, Lukasz Szymanski, 2018, Comput. Sci..

VM Reservation Plan Adaptation Using Machine Learning in Cloud Computing

Piotr Nawrocki, Bartlomiej Sniezynski, Krzysztof Zielinski, 2019, Journal of Grid Computing.

Converting a Naive Bayes Models with Multi-valued Domains into Sets of Rules

Bartlomiej Sniezynski, B. Sniezynski, 2006, DEXA.

A Rules-to-Trees Conversion in the Inductive Database System VINLEN

Ryszard S. Michalski, Tomasz Szydlo, Bartlomiej Sniezynski, 2005, Intelligent Information Systems.

Adapting Everyday Manipulation Skills to Varied Scenarios

Bipin Indurkhya, Michael Beetz, Frank Guerin, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Multiagent Simulation of Physical Phenomena by Means of Aspect Programming

Bartlomiej Sniezynski, Stanislaw Ciszewski, Slawomir Bieniasz, 2006, International Conference on Computational Science.

Probabilistic Label Algebra for the Logic of Plausible Reasoning

Bartlomiej Sniezynski, B. Sniezynski, 2002, Intelligent Information Systems.

Detecting Gaze Direction Using Robot-Mounted and Mobile-Device Cameras

Piotr Nawrocki, Bipin Indurkhya, Bartlomiej Sniezynski, 2019, Comput. Sci..

Agent-based Adaptation System for Service-oriented Architectures Using Supervised Learning

Bartlomiej Sniezynski, B. Sniezynski, 2014, ICCS.

Comparison of Reinforcement and Supervised Learning Methods in Farmer-Pest Problem with Delayed Rewards

Bartlomiej Sniezynski, B. Sniezynski, 2013, ICCCI.

Autonomous Context-Based Service Optimization in Mobile Cloud Computing

B. Sniezynski, Piotr Nawrocki, 2017, Journal of Grid Computing.

Learning Agent for a Service-Oriented Context-Aware Recommender System in Heterogeneous Environment

Piotr Nawrocki, Bartlomiej Sniezynski, Jakub Czyzewski, 2016, Comput. Informatics.

Modeling adaptive security-aware task allocation in mobile cloud computing

J. Kolodziej, B. Sniezynski, Piotr Nawrocki, 2022, Simul. Model. Pract. Theory.

Adaptive resource planning for cloud-based services using machine learning

Piotr Nawrocki, Bartlomiej Sniezynski, Mikolaj Grzywacz, 2021, J. Parallel Distributed Comput..

Agent-Based System for Mobile Service Adaptation Using Online Machine Learning and Mobile Cloud Computing Paradigm

Piotr Nawrocki, Bartłomiej Śnieżyński, Jakub Kołodziej, 2019, Comput. Informatics.

Adaptable mobile cloud computing environment with code transfer based on machine learning

Piotr Nawrocki, Bartlomiej Sniezynski, H. Slojewski, 2019, Pervasive Mob. Comput..

A strategy learning model for autonomous agents based on classification

Bartlomiej Sniezynski, B. Sniezynski, 2015, Int. J. Appl. Math. Comput. Sci..

Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections

Bartlomiej Sniezynski, Mateusz Krzyszton, B. Sniezynski, 2015, ICCCI.

An Architecture for Learning Agents

Bartlomiej Sniezynski, B. Sniezynski, 2008, ICCS.

Resource Management in a Multi-agent System by Means of Reinforcement Learning and Supervised Rule Learning

Bartlomiej Sniezynski, B. Sniezynski, 2007, International Conference on Computational Science.

Learning in a Multi-agent System as a Mean for Effective Resource Management

Bartlomiej Sniezynski, Jaroslaw Kozlak, B. Sniezynski, 2006, International Conference on Computational Science.

Security-aware job allocation in mobile cloud computing

Piotr Nawrocki, Joanna Kolodziej, Bartlomiej Sniezynski, 2021, 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid).

Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning

Piotr Nawrocki, Bartlomiej Sniezynski, B. Sniezynski, 2017, Journal of Network and Systems Management.

VLAD: Task-agnostic VAE-based lifelong anomaly detection

N. Japkowicz, Roberto Corizzo, B. Sniezynski, 2023, Neural Networks.

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

Nathalie Japkowicz, Roberto Corizzo, Bartlomiej Sniezynski, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Adaptive Context-Aware Energy Optimization for Services on Mobile Devices with Use of Machine Learning

Piotr Nawrocki, Joanna Kolodziej, Bartlomiej Sniezynski, 2020, Wireless Personal Communications.

Exploring the Role of Trust and Expectations in CRI Using In-the-Wild Studies

B. Indurkhya, G. Venture, B. Sniezynski, 2021, Electronics.

Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights

N. Japkowicz, Roberto Corizzo, B. Sniezynski, 2023, SSRN Electronic Journal.

Gaze aversion in conversational settings: An investigation based on mock job interview

Cengiz Acarturk, B. Sniezynski, Mateusz Jarosz, 2021, Journal of eye movement research.

Agent-Based System with Learning Capabilities for Transport Problems

Bartlomiej Sniezynski, Jaroslaw Kozlak, B. Sniezynski, 2011, ICCCI.

Agent Strategy Generation by Rule Induction in Predator-Prey Problem

Bartlomiej Sniezynski, B. Sniezynski, 2009, ICCS.

A Comparison of Native and Cross-Platform Frameworks for Mobile Applications

Piotr Nawrocki, Bartlomiej Sniezynski, Krzysztof Wrona, 2021, Computer.

Knowledge Visualization Using Optimized General Logic Diagrams

Robert Szymacha, Ryszard S. Michalski, Bartlomiej Sniezynski, 2005, Intelligent Information Systems.

Multi-agent Environment for Decision-Support in Production Systems Using Machine Learning Methods

Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Krzysztof Jaskowiec, 2019, ICCS.

Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters

D. Wilk-Kołodziejczyk, M. Małysza, B. Sniezynski, 2023, Archives of Civil and Mechanical Engineering.

The decision support system based on logic of plausible reasoning

Bartlomiej Sniezynski, Grzegorz Legien, Dorota Wilk-Kolodziejczyk, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

Integrated Multi-functional LPR Intelligent Information System

Edward Nawarecki, Stanislawa Kluska-Nawarecka, Dorota Wilk-Kołodziejczyk, 2018 .

Integration of Inference and Machine Learning as a Tool for Creative Reasoning

Bartlomiej Marian Sniezynski, B. Sniezynski, 2014, AAAI Fall Symposia.

On the Role of Trust in Child-Robot Interaction*

Gentiane Venture, Bipin Indurkhya, Takamune Izui, 2019, 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

FIPA Compliant Agent-based Decentralized Expert System

Marek Kisiel-Dorohinicki, Michal Turek, Bartlomiej Sniezynski, 2002, Intelligent Information Systems.

Agent-Based Decision-Information System Supporting Effective Resource Management of Companies

Stanislawa Kluska-Nawarecka, Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, 2018, ICCCI.

Comparison of strategy learning methods in Farmer-Pest problem for various complexity environments without delays

Bartlomiej Sniezynski, Jacek Dajda, B. Sniezynski, 2013, J. Comput. Sci..

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, 2011, ICCS.

Pruned Simulation-Based Optimal Sailboat Path Search Using Micro HPC Systems

Roman Debski, Bartlomiej Sniezynski, B. Sniezynski, 2021, ICCS.

Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model

A. Sitek, B. Sniezynski, J. Zolnierek, 2022, ICCS.

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing

Jan D. Gehrke, Janusz Wojtusiak, Wojciech Wójcik, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

B2R: An Algorithm for Converting Bayesian Networks to Sets of Rules

Bartlomiej Sniezynski, Tomasz Lukasik, Marek Mierzwa, 2010, DEXA.

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results

Kenneth A. Kaufman, Ryszard S. Michalski, Janusz Wojtusiak, 2006, Intelligent Information Systems.

Learning in a Multi-agent Approach to a Fish Bank Game

Bartlomiej Sniezynski, Jaroslaw Kozlak, B. Sniezynski, 2005, CEEMAS.

Electrocardiogram Quality Assessment with Autoencoder

Bartlomiej Sniezynski, Marcin Wisniewski, Jan Garus, 2021, ICCS.

Distributed Continual Intrusion Detection: A Collaborative Replay Framework

Roberto Corizzo, B. Sniezynski, Kamil Faber, 2023, 2023 IEEE International Conference on Big Data (BigData).

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights

N. Japkowicz, Roberto Corizzo, B. Sniezynski, 2023, IEEE Access.