Rafal Kozik

232 papers A 1B 23C 2Misc 7Journal 66Unranked 122
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensemble-based fake news and disinformation detection using crowdsourced dataset.
Log. J. IGPL
Gracjan Katek, Marta Gackowska-Katek, Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Ryszard S. Choras
2026 J jnl
Hybrid and trustworthy AI approach to anomaly detection in realistic human-robot collaboration scenarios.
Robotics Auton. Syst.
Rafal Kozik, Szymon Bus, Jakub Glówka, Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Michal Choras
2026 J jnl
Selected papers from the 29th European Symposium on Research in Computer Security (by invite-only).
Int. J. Inf. Sec.
Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas
2026 — conf
Survey on Explainability-Weaponising Adversarial Attack Vectors against Deep Neural Networks and Artificial Intelligence.
ICAART (2)
Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras
2025 J jnl
A New Cybersecurity Approach Enhanced by xAI-Derived Rules to Improve Network Intrusion Detection and SIEM.
Comput. Mater. Continua
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2025 J jnl
A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2025 — conf
Application of Selected Machine Learning Models in Leaf-Based Plant Health Assessment.
AINA (6)
Jakub Filipek, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
2025 — ed.
Computer Security. ESORICS 2024 International Workshops - SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part II
ESORICS Workshops (2)
Joaquín García-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Maria Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michal Choras
2025 — conf
Countering Financial Cyber Crime: New Method for Subsequent Steps Analysis in Large Complex Graphs of Financial Transactions.
ARES (Workshops 3)
Rafal Kozik, Piotr Gocal, Michal Choras
2025 — conf
Evaluating the Strategy to Deploy Large Language Models to Label Training Data in the Process of Fake News Detection.
ICCCI (1)
Martyna Tarczewska, Rafal Kozik, Michal Choras
2025 — conf
Evaluation of Selected Few-Shot Learning Methods in Network Intrusion Detection.
AINA (6)
Eryk Winiecki, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2025 — conf
From Relevance to Discovery: Trends in Overcoming Information Bubbles.
ICCCI (2)
Michal Lesniak, Rafal Kozik
2025 — conf
Generative AI in Workplaces Worldwide: Emerging Ethical Risks and Mitigation Guidelines.
ICDM (Workshops)
Aleksandra Pawlicka, Renata Tomaszewska, Marek Pawlicki, Rafal Kozik, Michal Choras
2025 J jnl
In depth analysis for securing the truth: Addressing the fake news challenge with graph neural networks.
Neurocomputing
Gracjan Katek, Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2025 — conf
Innovative Approach to Use Large Language Models (LLM) for Continuous Annotation of Disinformation.
ICDM (Workshops)
Sebastian Kula, Rafal Kozik, Michal Choras
2025 — conf
Innovative Graph-Based Analysis to Counter VAT Carousel and Credit Card Frauds.
ICDM (Workshops)
Rafal Kozik, Piotr Gocal, Michal Choras
2025 — conf
Proposition of IT Platform for Combating Wildfires with Decision Support System.
ARES (EU Projects Symposium Workshops 2)
Krishna Chandramouli, Rafal Kozik, Marcin Przybyszewski, Dominika Grunwald, Michal Choras
2025 — conf
Protecting Society from Fake Advertisement Campaigns: Innovative Graph Based Analysis and Approach.
ESORICS Workshops (3)
Ewelina Bartuzi-Trokielewicz, Alicja Martinek, Rafal Kozik, Michal Choras
2025 — conf
SHAP Analyses in Feature-Based and Principal Component-Based Model.
ICDM (Workshops)
Sebastian Szelest, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras
2025 — conf
SHAP Insights into Domain Adaptation in Netflow-Based Network Intrusion Detection Powered by Deep Learning.
ARES (EU Projects Symposium Workshops 2)
Marek Pawlicki, Sebastian Szelest, Rafal Kozik, Michal Choras
2025 — conf
Supporting Human-Robot Collaboration and Safety with the Proposed Explainable Neuro-Symbolic Reasoning.
ARES (EU Projects Symposium Workshops 1)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2025 — conf
Transparent and Trustworthy eXpainable AI (xAI) in Smart Human-Robot Collaboration Environment.
ESORICS Workshops (3)
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
2025 J jnl
White Hats in Blue? The Ethical Issues of Employing Hackers in Law Enforcement Agencies.
IT Prof.
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2024 J jnl
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods.
IEEE Trans. Comput. Soc. Syst.
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Wojciech Mazurczyk, Krzysztof Cabaj
2024 — conf
A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules.
ACIIDS (1)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, Through Feature Omission and a Committee of Classifiers.
ESORICS Workshops (2)
Marek Pawlicki, Federica Uccello, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 J jnl
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection.
Inf. Sci.
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Agnieszka Andrychowicz-Trojanowska, Michal Choras
2024 J jnl
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
An Innovative Approach to Real-Time Concept Drift Detection in Network Security.
EIDWT
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
Class-Based SHAP Analysis for Improved Explainability Insights in NIDS.
ICAI (1)
Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Rafal Kozik, Michal Choras
2024 — conf
Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems.
ICCSA (Workshops 2)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — ed.
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part I
ESORICS (1)
Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas
2024 — ed.
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part II
ESORICS (2)
Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas
2024 — ed.
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part III
ESORICS (3)
Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas
2024 — ed.
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part IV
ESORICS (4)
Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas
2024 — conf
Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare.
ICDM (Workshops)
Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras
2024 B conf
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis.
ARES
Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
2024 J jnl
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
ExpLEA-AIner: Proposition and Development of the Model-Driven Approach to Incorporating Explainable AI in Network Intrusion Detection Systems for Law Enforcement Agencies.
EMCIS (2)
Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Mikolaj Komisarek, Rafal Kozik, Michal Choras
2024 — conf
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity.
SecTL@AsiaCCS
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis.
ICCCI (CCIS Volume 1)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2024 B conf
Introducing a Multi-Perspective xAI Tool for Better Model Explainability.
ARES
Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment.
ACIIDS (2)
Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras
2024 — conf
Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity.
ESORICS Workshops (2)
Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning.
ICDM (Workshops)
Rafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras
2024 — conf
Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data.
ICDM (Workshops)
Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras
2024 — conf
Strategies to Use Harvesters in Trustworthy Fake News Detection Systems.
ICCCI (CCIS Volume 1)
Krzysztof Cabaj, Marcin Kowalczyk, Marcin Gregorczyk, Michal Choras, Rafal Kozik, Wojciech Mazurczyk
2024 — conf
The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario.
ICAI (1)
Federica Uccello, Marek Pawlicki, Aleksandra Pawlicka, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 J jnl
The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation.
Artif. Intell. Rev.
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors.
ACR
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot.
ICDM (Workshops)
Aikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard S. Choras, Ramon Martín de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 J jnl
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case.
Neurocomputing
Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2024 B conf
Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics.
ARES
Damian Puchalski, Marek Pawlicki, Rafal Kozik, Rafal Renk, Michal Choras
2024 — conf
ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization.
ACIIDS (2)
Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glówka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras
2024 B conf
When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI.
IEEE Big Data
Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Damian Puchalski, Rafal Kozik, Michal Choras
2024 J jnl
When explainability turns into a threat - using xAI to fool a fake news detection method.
Comput. Secur.
Rafal Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michal Choras
2023 — conf
Analysis of Extractive Text Summarization Methods as a Binary Classification Problem.
CISIS-ICEUTE
Joanna Komorniczak, Szymon Wojciechowski, Jakub Klikowski, Rafal Kozik, Michal Choras
2023 B conf
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models.
DSAA
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 J jnl
Deep Learning for Combating Misinformation in Multicategorical Text Contents.
Sensors
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 — conf
Document Annotation Tool for News Content Analysis.
CORES/IP&C
Marta Gackowska, Gracjan Katek, Mscislaw Srutek, Rafal Kozik, Michal Choras
2023 — conf
Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach.
ICAI (2)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2023 — conf
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges.
ICIC (4)
Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 J jnl
First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions.
Pers. Ubiquitous Comput.
Aleksandra Pawlicka, Michal Choras, Rafal Kozik, Marek Pawlicki
2023 — conf
How Explainable Is Explainability? Towards Better Metrics for Explainable AI.
RIIFORUM
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras
2023 — conf
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes.
CISIM
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 — conf
How to Navigate the Uncharted Waters of Cyberwar.
AMCIS
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
2023 Misc conf
How to secure the IoT-based surveillance systems in an ELEGANT way.
CSR
Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 B conf
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection.
IJCNN
Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems.
CORES/IP&C
Marek Pawlicki, Aleksandra Pawlicka, Mscislaw Srutek, Rafal Kozik, Michal Choras
2023 B conf
Model Stitching Algorithm for Fake News Detection Problem.
DSAA
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 B conf
Modern NetFlow network dataset with labeled attacks and detection methods.
ARES
Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras
2023 — conf
Privacy risk analysis and metrics in capturing and storing network traffic.
CSCS
Michele Mastroianni, Francesco Palmieri, Massimo Ficco, Rafal Kozik, Michal Choras
2023 — ed.
Progress on Pattern Classification, Image Processing and Communications - Proceedings of the CORES and IP&C Conferences 2023, Wrocław, Poland.
CORES/IP&C
Robert Burduk, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Tomasz Marciniak, Pawel Trajdos
2023 — conf
SWAROG Project Approach to Fake News Detection Problem.
CISIS-ICEUTE
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 B conf
Security Architecture in the SILVANUS project.
ARES
Natan Orzechowski, Karol Rzepka, Przemyslaw Szary, Krzysztof Cabaj, Wojciech Mazurczyk, Helen C. Leligou, Marcin Przybyszewski, Rafal Kozik, Michal Choras
2023 J jnl
The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection.
Vietnam. J. Comput. Sci.
Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks.
MobiSec
Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems.
ICDM (Workshops)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse.
ICAI (1)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 J jnl
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 J jnl
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics.
IEEE Access
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 B conf
A novel, refined dataset for real-time Network Intrusion Detection.
ARES
Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras
2022 J jnl
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks.
Neurocomputing
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 J jnl
Advances and Practical Applications of Deep and Shallow Machine Learning.
J. Univers. Comput. Sci.
Michal Choras, Robert Burduk, Rafal Kozik, Jörg Keller
2022 J jnl
Advances in Computer Recognition, Image Processing and Communications.
Entropy
Michal Choras, Robert Burduk, Agata Gielczyk, Rafal Kozik, Tomasz Marciniak
2022 — conf
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques.
ICAISC (1)
Marek Pawlicki, Martin Zádník, Rafal Kozik, Michal Choras
2022 — conf
Comparison of neural network paradigms for their usefulness in a real-world network intrusion detection deployment and a proposed optimised approach.
EICC
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 — conf
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment.
ICIC (3)
Rafal Kozik, Marek Pawlicki, Mateusz Szczepanski, Rafal Renk, Michal Choras
2022 — conf
Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar.
RIIFORUM
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 J jnl
Fake news detection platform - conceptual architecture and prototype.
Log. J. IGPL
Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras
2022 B conf
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees.
DSAA
Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 — conf
Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation.
ISD
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2022 J jnl
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection.
IT Prof.
Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak
2022 J jnl
Hunting cyberattacks: experience from the real backbone network.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras
2022 J jnl
Implementation of the BERT-derived architectures to tackle disinformation challenges.
Neural Comput. Appl.
Sebastian Kula, Rafal Kozik, Michal Choras
2022 — conf
Parameters Transfer Framework for Multi-domain Fake News Detection.
MobiSec
Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki
2022 J jnl
Sensors and Pattern Recognition Methods for Security and Industrial Applications.
Sensors
Michal Choras, Rafal Kozik, Marek Pawlicki
2022 J jnl
Technical solution to counter potential crime: Text analysis to detect fake news and disinformation.
J. Comput. Sci.
Rafal Kozik, Sebastian Kula, Michal Choras, Michal Wozniak
2022 — conf
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It?
ISD
Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras
2022 B conf
The cybersecurity-related ethical issues of cloud technology and how to avoid them.
ARES
Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Rafal Kozik, Michal Choras
2022 B conf
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection.
ARES
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 J jnl
Unsupervised network traffic anomaly detection with deep autoencoders.
Log. J. IGPL
Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 J jnl
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity.
Sensors
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras
2021 J jnl
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment.
Pattern Anal. Appl.
Rafal Kozik, Marek Pawlicki, Michal Choras
2021 — conf
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams.
CORES/IP&C/ACS
Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 J jnl
Demonstrating interoperability between unmanned ground systems and command and control systems.
Int. J. Intell. Def. Support Syst.
Kim Mathiassen, Frank E. Schneider, Paul Bounker, Alexander Tiderko, Geert De Cubber, Magnus Baksaas, Jakub Glówka, Rafal Kozik, Thomas Nussbaumer, Juha Röning, Johannes Pellenz, André Volk
2021 — conf
Extending Machine Learning-Based Intrusion Detection with the Imputation Method.
CORES/IP&C/ACS
Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2021 J jnl
How to Effectively Collect and Process Network Data for Intrusion Detection?
Entropy
Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras
2021 J jnl
Intelligent operator: Machine learning based decision support and explainer for human operators and service providers in the fog, cloud and edge networks.
J. Inf. Secur. Appl.
Sebastian Laskawiec, Michal Choras, Rafal Kozik, Vijayakumar Varadarajan
2021 J jnl
Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 B conf
Missing and Incomplete Data Handling in Cybersecurity Applications.
ACIIDS
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
2021 J jnl
Multimedia analysis platform for crime prevention and investigation.
Multim. Tools Appl.
Francisco J. Pérez, Victor Garrido, Alberto García, Marcelo Zambrano, Rafal Kozik, Michal Choras, Dirk Mühlenberg, Dirk Pallmer, Wilmuth Müller
2021 B conf
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project.
ARES
Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras
2021 J jnl
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset.
Sensors
Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik
2021 — conf
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data.
ICCCI (CCIS Volume)
Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 — conf
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine.
ICIC (3)
Marek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras
2021 — conf
Transformer Based Models in Fake News Detection.
ICCS (4)
Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak
2021 — conf
Why Do Law Enforcement Agencies Need AI for Analyzing Big Data?
CISIM
Aleksandra Pawlicka, Michal Choras, Marcin Przybyszewski, Laurent Belmon, Rafal Kozik, Konstantinos P. Demestichas
2020 J jnl
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection.
Sensors
Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 B conf
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach.
IJCNN
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 A conf
Actionable Software Metrics: An Industrial Perspective.
EASE
Prabhat Ram, Pilar Rodríguez, Markku Oivo, Silverio Martínez-Fernández, Alessandra Bagnato, Michal Choras, Rafal Kozik, Sanja Aaramaa, Milla Ahola
2020 B conf
An Empirical Investigation into Industrial Use of Software Metrics Programs.
PROFES
Prabhat Ram, Pilar Rodríguez, Markku Oivo, Alessandra Bagnato, Antonin Abherve, Michal Choras, Rafal Kozik
2020 Misc conf
Application of the BERT-Based Architecture in Fake News Detection.
CISIS
Sebastian Kula, Michal Choras, Rafal Kozik
2020 J jnl
Common Representational Model and Ontologies for Effective Law Enforcement Solutions.
Vietnam. J. Comput. Sci.
Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure
2020 J jnl
Data-driven and tool-supported elicitation of quality requirements in agile companies.
Softw. Qual. J.
Marc Oriol, Silverio Martínez-Fernández, Woubshet Behutiye, Carles Farré, Rafal Kozik, Pertti Seppänen, Anna Maria Vollmer, Pilar Rodríguez, Xavier Franch, Sanja Aaramaa, Antonin Abhervé, Michal Choras, Jari Partanen
2020 J jnl
Defending network intrusion detection systems against adversarial evasion attacks.
Future Gener. Comput. Syst.
Marek Pawlicki, Michal Choras, Rafal Kozik
2020 J jnl
Detection of Cyberattacks Traces in IoT Data.
J. Univers. Comput. Sci.
Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 Misc conf
Distributed Architecture for Fake News Detection.
CISIS
Rafal Kozik, Michal Choras, Sebastian Kula, Marek Pawlicki
2020 B conf
Fake News Detection from Data Streams.
IJCNN
Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak
2020 Misc conf
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection.
CISIS
Vibekananda Dutta, Michal Choras, Rafal Kozik, Marek Pawlicki
2020 — conf
Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?
ICCS (4)
Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik
2020 J jnl
Measuring and Improving Agile Processes in a Small-Size Software Development Company.
IEEE Access
Michal Choras, Tomasz Springer, Rafal Kozik, Lidia López, Silverio Martínez-Fernández, Prabhat Ram, Pilar Rodríguez, Xavier Franch
2020 — conf
On the Impact of Network Data Balancing in Cybersecurity Applications.
ICCS (4)
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
2020 J jnl
Practical Applications of Data Analysis, Classification and Anomaly Detection.
J. Univers. Comput. Sci.
Michal Choras, Salvatore D'Antonio, Jörg Keller, Rafal Kozik
2020 J jnl
Progress in Features, Data, Patterns and Similarity Analysis.
J. Univers. Comput. Sci.
Michal Choras, Salvatore D'Antonio, Jörg Keller, Rafal Kozik
2020 Misc conf
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation.
CISIS
Rafal Kozik, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka, Wojciech Warczak, Grzegorz Mazgaj
2020 B conf
Real-time stream processing tool for detecting suspicious network patterns using machine learning.
ARES
Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki
2020 — conf
Sentiment Analysis for Fake News Detection by Means of Neural Networks.
ICCS (4)
Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak
2020 B conf
Stegomalware detection through structural analysis of media files.
ARES
Damian Puchalski, Luca Caviglione, Rafal Kozik, Adrian Marzecki, Slawomir Krawczyk, Michal Choras
2019 — conf
Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection.
ICIC (1)
Marek Pawlicki, Rafal Kozik, Michal Choras
2019 J jnl
Balanced Efficient Lifelong Learning (B-ELLA) for Cyber Attack Detection.
J. Univers. Comput. Sci.
Rafal Kozik, Michal Choras, Jörg Keller
2019 Misc conf
Data-Driven Elicitation of Quality Requirements in Agile Companies.
QUATIC
Marc Oriol, Pertti Seppänen, Woubshet Behutiye, Carles Farré, Rafal Kozik, Silverio Martínez-Fernández, Pilar Rodríguez, Xavier Franch, Sanja Aaramaa, Antonin Abhervé, Michal Choras, Jari Partanen
2019 — conf
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing.
CORES
Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras
2019 — conf
Gated Recurrent Units for Intrusion Detection.
IP&C
Marek Pawlicki, Adam Marchewka, Michal Choras, Rafal Kozik
2019 J jnl
Increasing product owners' cognition and decision-making capabilities by data analysis approach.
Cogn. Technol. Work.
Michal Choras, Rafal Kozik, Damian Puchalski, Rafal Renk
2019 J jnl
Lightweight Verification Schema for Image-Based Palmprint Biometric Systems.
Mob. Inf. Syst.
Agata Gielczyk, Michal Choras, Rafal Kozik
2019 — conf
Machine Learning Methods for Fake News Classification.
IDEAL (2)
Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak
2019 J jnl
New solutions for exposing clustered applications deployed in the cloud.
Clust. Comput.
Sebastian Laskawiec, Michal Choras, Rafal Kozik
2019 J jnl
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection.
Complex.
Rafal Kozik, Marek Pawlicki, Michal Choras, Witold Pedrycz
2019 J jnl
Protecting the application layer in the public domain with machine learning methods.
Log. J. IGPL
Rafal Kozik, Michal Choras
2019 J jnl
Q-Rapids framework for advanced data analysis to improve rapid software development.
J. Ambient Intell. Humaniz. Comput.
Rafal Kozik, Michal Choras, Damian Puchalski, Rafal Renk
2019 J jnl
Recent Advances, Emerging Methods and Applications of Pattern Recognition.
J. Univers. Comput. Sci.
Jörg Keller, Manuel Graña, Rafal Kozik, Tomasz Andrysiak, Michal Choras
2019 — conf
Recognizing Faults in Software Related Difficult Data.
ICCS (3)
Michal Choras, Marek Pawlicki, Rafal Kozik
2019 B conf
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation.
ARES
Michal Choras, Marek Pawlicki, Rafal Kozik, Konstantinos P. Demestichas, Pavlos Kosmides, Manik Gupta
2019 — conf
Software Development Metrics Prediction Using Time Series Methods.
CISIM
Michal Choras, Rafal Kozik, Marek Pawlicki, Witold Holubowicz, Xavier Franch
2019 — conf
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain.
IDEAL (2)
Michal Choras, Marek Pawlicki, Rafal Kozik
2019 — conf
The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case.
ICCCI (2)
Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure
2019 — conf
The mobile palmprint-based verification based on three-value masks.
HPCS
Agata Gielczyk, Michal Choras, Rafal Kozik
2019 — conf
Towards Mobile Palmprint Biometric System with the New Palmprint Database.
IP&C
Agata Gielczyk, Karolina Dembinska, Michal Choras, Rafal Kozik
2018 J jnl
A scalable distributed machine learning approach for attack detection in edge computing environments.
J. Parallel Distributed Comput.
Rafal Kozik, Michal Choras, Massimo Ficco, Francesco Palmieri
2018 J jnl
Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection.
Secur. Commun. Networks
Rafal Kozik, Marek Pawlicki, Michal Choras
2018 J jnl
Distributing extreme learning machines with Apache Spark for NetFlow-based malware activity detection.
Pattern Recognit. Lett.
Rafal Kozik
2018 — conf
Hybrid Feature Extraction for Palmprint-Based User Authentication.
HPCS
Agata Gielczyk, Michal Choras, Rafal Kozik
2018 — conf
Pattern Recognition Solutions for Fake News Detection.
CISIM
Michal Choras, Agata Gielczyk, Konstantinos P. Demestichas, Damian Puchalski, Rafal Kozik
2018 — conf
Platform for Software Quality and Dependability Data Analysis.
DepCoS-RELCOMEX
Rafal Kozik, Michal Choras, Damian Puchalski, Rafal Renk
2018 — conf
Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development.
CAiSE Forum
Lidia López, Silverio Martínez-Fernández, Cristina Gómez, Michal Choras, Rafal Kozik, Liliana Guzmán, Anna Maria Vollmer, Xavier Franch, Andreas Jedlitschka
2018 B conf
Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain.
ARES
Marek Pawlicki, Michal Choras, Rafal Kozik
2018 — conf
Sparse Autoencoders for Unsupervised Netflow Data Classification.
IP&C
Rafal Kozik, Marek Pawlicki, Michal Choras
2018 — conf
Switching Network Protocols to Improve Communication Performance in Public Clouds.
IP&C
Sebastian Laskawiec, Michal Choras, Rafal Kozik
2018 — conf
The Is-IT-ethical? Responsible Research and Innovation for Disaster Risk Management.
ISCRAM
Monika Büscher, Catherine Easton, Xaroula Charalampia Kerasidou, Maria Alejandra Lujan Escalante, Hayley Alter, Katrina Petersen, Marie-Christine Bonnamour, David Lund, Andreas Baur, Regina Ammicht Quinn, Jessica Heesen, Lina Jasmontaite, Gloria González Fuster, Alexander Boden, Britta Hofmann, Anna Stachowicz, Michal Choras, Rafal Kozik, Kees Boersma, Martina Comes, Nicole Föger
2017 — conf
Distributed System for Botnet Traffic Analysis and Anomaly Detection.
iThings/GreenCom/CPSCom/SmartData
Rafal Kozik
2017 — conf
Evaluation of the Pre-processing Methods in Image-Based Palmprint Biometrics.
IP&C
Agata Wojciechowska, Michal Choras, Rafal Kozik
2017 — conf
Netflow-Based Malware Detection and Data Visualisation System.
CISIM
Rafal Kozik, Robert Mlodzikowski, Michal Choras
2017 J jnl
Packets tokenization methods for web layer cyber security.
Log. J. IGPL
Rafal Kozik, Michal Choras, Witold Holubowicz
2017 J jnl
Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection.
Secur. Commun. Networks
Rafal Kozik, Michal Choras
2017 — conf
Recent Advances in Image Pre-processing Methods for Palmprint Biometrics.
CORES
Agata Wojciechowska, Michal Choras, Rafal Kozik
2017 — conf
Running Sports Decision Aid Tool Based on Reinforcement Learning Approach.
IP&C
Rafal Kozik, Joanna Morzynska, Michal Choras
2017 J jnl
Simulation platform for cyber-security and vulnerability analysis of critical infrastructures.
J. Comput. Sci.
Massimo Ficco, Michal Choras, Rafal Kozik
2017 — conf
The Concept of Applying Lifelong Learning Paradigm to Cybersecurity.
ICIC (3)
Michal Choras, Rafal Kozik, Rafal Renk, Witold Holubowicz
2016 — conf
Cyber Security of the Application Layer of Mission Critical Industrial Systems.
CISIM
Rafal Kozik, Michal Choras, Rafal Renk, Witold Holubowicz
2016 J jnl
DWT-based anomaly detection method for cyber security of wireless sensor networks.
Secur. Commun. Networks
Lukasz Saganowski, Tomasz Andrysiak, Rafal Kozik, Michal Choras
2016 J jnl
Evolutionary-based packets classification for anomaly detection in web layer.
Secur. Commun. Networks
Rafal Kozik, Michal Choras, Witold Holubowicz
2016 — conf
Extreme Learning Machines for Web Layer Anomaly Detection.
IP&C
Rafal Kozik, Michal Choras, Witold Holubowicz, Rafal Renk
2016 J jnl
Proposal and comparison of network anomaly detection based on long-memory statistical models.
Log. J. IGPL
Tomasz Andrysiak, Lukasz Saganowski, Michal Choras, Rafal Kozik
2016 Misc conf
Solution to Data Imbalance Problem in Application Layer Anomaly Detection Systems.
HAIS
Rafal Kozik, Michal Choras
2016 — conf
The HTTP Content Segmentation Method Combined with AdaBoost Classifier for Web-Layer Anomaly Detection System.
SOCO-CISIS-ICEUTE
Rafal Kozik, Michal Choras
2015 — conf
A Practical Framework and Guidelines to Enhance Cyber Security and Privacy.
CISIS-ICEUTE
Michal Choras, Rafal Kozik, Rafal Renk, Witold Holubowicz
2015 — conf
Adapting an Ensemble of One-Class Classifiers for a Web-Layer Anomaly Detection System.
3PGCIC
Rafal Kozik, Michal Choras
2015 J jnl
Advanced services for critical infrastructures protection.
J. Ambient Intell. Humaniz. Comput.
Rafal Kozik, Michal Choras, Adam Flizikowski, Marianthi Theocharidou, Vittorio Rosato, Erich Rome
2015 B conf
Comprehensive Approach to Increase Cyber Security and Resilience.
ARES
Michal Choras, Rafal Kozik, Maria Pilar Torres Bruna, Artsiom Yautsiukhin, Andrew Churchill, Iwona Maciejewska, Irene Eguinoa, Adel Jomni
2015 — ch.
Finger Knuckle Print Identification with Hierarchical Model of Local Gradient Features.
New Trends in Intelligent Information and Database Systems
Rafal Kozik, Michal Choras
2015 — conf
Local Statistic Embedding for Malware Behaviour Modelling.
IP&C
Rafal Kozik, Michal Choras
2015 J jnl
Machine learning techniques applied to detect cyber attacks on web applications.
Log. J. IGPL
Michal Choras, Rafal Kozik
2015 — conf
Patterns Extraction Method for Anomaly Detection in HTTP Traffic.
CISIS-ICEUTE
Rafal Kozik, Michal Choras, Rafal Renk, Witold Holubowicz
2015 — conf
Semi-unsupervised Machine Learning for Anomaly Detection in HTTP Traffic.
CORES
Rafal Kozik, Michal Choras, Rafal Renk, Witold Holubowicz
2014 — conf
A Proposal of Algorithm for Web Applications Cyber Attack Detection.
CISIM
Rafal Kozik, Michal Choras, Rafal Renk, Witold Holubowicz
2014 J jnl
End-users needs and requirements for tools to support critical infrastructures protection.
CoRR
Michal Choras, Rafal Kozik, Rafal Renk, Witold Holubowicz
2014 — conf
Hardening Web Applications against SQL Injection Attacks Using Anomaly Detection Approach.
IP&C
Rafal Kozik, Michal Choras, Witold Holubowicz
2014 — conf
Modelling HTTP Requests with Regular Expressions for Detection of Cyber Attacks Targeted at Web Applications.
SOCO-CISIS-ICEUTE
Rafal Kozik, Michal Choras, Rafal Renk, Witold Holubowicz
2014 — conf
Network Traffic Prediction and Anomaly Detection Based on ARFIMA Model.
SOCO-CISIS-ICEUTE
Tomasz Andrysiak, Lukasz Saganowski, Michal Choras, Rafal Kozik
2013 — conf
A Simplified Visual Cortex Model for Efficient Image Codding and Object Recognition.
IP&C
Rafal Kozik
2013 — conf
Evaluation of Various Techniques for SQL Injection Attack Detection.
CORES
Michal Choras, Rafal Kozik
2013 — conf
Machine Learning Techniques for Cyber Attacks Detection.
IP&C
Rafal Kozik, Michal Choras
2012 — conf
Computer Vision Method for Detecting Adult-Oriented Content in Images.
IP&C
Adam Marchewka, Rafal Kozik
2012 J jnl
Contactless palmprint and knuckle biometrics for mobile devices.
Pattern Anal. Appl.
Michal Choras, Rafal Kozik
2012 — conf
Correlation Approach for SQL Injection Attacks Detection.
CISIS/ICEUTE/SOCO Special Sessions
Michal Choras, Rafal Kozik, Damian Puchalski, Witold Holubowicz
2012 — conf
Information Exchange Mechanism between Federated Domains: P2P Approach.
CISIS/ICEUTE/SOCO Special Sessions
Michal Choras, Rafal Kozik, Rafal Renk, Witold Holubowicz
2012 — conf
Online Social Networks: Emerging Security and Safety Applications.
IP&C
Michal Choras, Marco Manso, Damian Puchalski, Rafal Kozik, Krzysztof Samp
2011 — conf
Fast Feature Extractors for Palmprint Biometrics.
CISIM
Michal Choras, Rafal Kozik
2011 — conf
Improving Depth Map Quality with Markov Random Fields.
IP&C
Rafal Kozik
2011 — conf
Innovative Man Machine Interfaces and Solutions to Support Totally Blind People.
IP&C
Michal Choras, Salvatore D'Antonio, Giulio Iannello, Andreas Jedlitschka, Rafal Kozik, Klaus Miesenberger, Adam Woloszczuk
2011 — ch.
Knuckle Recognition for Human Identification.
Computer Recognition Systems 4
Michal Choras, Rafal Kozik
2011 — conf
Network Event Correlation and Semantic Reasoning for Federated Networks Protection System.
CISIM
Michal Choras, Rafal Kozik
2011 — conf
Network Events Correlation for Federated Networks Protection System.
ServiceWave
Michal Choras, Rafal Kozik, Rafal Piotrowski, Juliusz Brzostek, Witold Holubowicz
2011 — conf
Rapid Threat Detection for Stereovision Mobility Aid System.
ICMMI
Rafal Kozik
2011 — ch.
Stereovision System for Visually Impaired.
Computer Recognition Systems 4
Rafal Kozik
2010 — conf
Feature Extraction Method for Contactless Palmprint Biometrics.
ICIC (3)
Michal Choras, Rafal Kozik
2010 — conf
Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection.
MOBILIGHT
Rafal Kozik, Michal Choras, Witold Holubowicz
2010 — conf
Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services.
ICCVG (1)
Michal Choras, Adam Flizikowski, Rafal Kozik, Witold Holubowicz
2010 — conf
Intersection Approach to Vulnerability Handling.
WEBIST (1)
Michal Choras, Salvatore D'Antonio, Rafal Kozik, Witold Holubowicz
2010 — conf
Knuckle Biometrics for Human Identification.
IP&C
Michal Choras, Rafal Kozik
2010 — conf
Ontology Applied in Decision Support System for Critical Infrastructures Protection.
IEA/AIE (1)
Michal Choras, Rafal Kozik, Adam Flizikowski, Witold Holubowicz
2010 — conf
SMAS - Stereovision Mobility Aid System for People with a Vision Impairment.
IP&C
Rafal Kozik
2009 C conf
Decision Aid Tool and Ontology-Based Reasoning for Critical Infrastructure Vulnerabilities and Threats Analysis.
CRITIS
Michal Choras, Adam Flizikowski, Rafal Kozik, Witold Holubowicz
2009 — conf
Evaluation of guard channel admission control schemes for IEEE 802.16 with integrated nb-LDPC codes.
ICUMT
Adam Flizikowski, Rafal Kozik, Mateusz Majewski, Marcin Przybyszewski
2009 — ch.
Head Rotation Estimation Algorithm for Hand-Free Computer Interaction.
Computer Recognition Systems 3
Rafal Kozik
2009 — conf
Ontology-Based Decision Support for Security Management in Heterogeneous Networks.
ICIC (2)
Michal Choras, Rafal Kozik, Adam Flizikowski, Rafal Renk, Witold Holubowicz
2009 C conf
Performance comparison of guard channel admission control schemes for IEEE 802.16 system with various turbo code FEC schemes.
IPCCC
Adam Flizikowski, Rafal Kozik, Mateusz Majewski, Marcin Przybyszewski
2009 — ch.
Recognizing Anomalies/Intrusions in Heterogeneous Networks.
Computer Recognition Systems 3
Michal Choras, Lukasz Saganowski, Rafal Renk, Rafal Kozik, Witold Holubowicz
2009 — conf
WiMAX system level simulation platform based on ns-2 and DSP integration.
BroadBandCom
Adam Flizikowski, Rafal Kozik, Henryk Gierszal, Marcin Przybyszewski, Witold Holubowicz
2008 — conf
A Novel Shape-Texture Approach to Palmprint Detection and Identification.
ISDA (3)
Michal Choras, Rafal Kozik, Aleksandra Zelek
2008 — conf
Palmprint Recognition Enhanced by the Shape Features.
CISIM
Rafal Kozik, Aleksandra Zelek, Michal Choras