Rafal Kozik

About Rafal Kozik

Rafal Kozik, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy,

His recent articles reflect a diverse array of research interests and contributions to the field:

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors

An Innovative Approach to Real-Time Concept Drift Detection in Network Security

When explainability turns into a threat-using xAI to fool a fake news detection method

Analysis of Extractive Text Summarization Methods as a Binary Classification Problem

Interpreting Intrusions-The Role of Explainability in AI-Based Intrusion Detection Systems

Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models

The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse

Rafal Kozik Information

University

Position

Department of Telecommunication Systems in the Institute of Telecommunications at (UT

Citations(all)

2516

Citations(since 2020)

2028

Cited By

1039

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

68

i10Index(since 2020)

55

Email

University Profile Page

Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy

Google Scholar

View Google Scholar Profile

Top articles of Rafal Kozik

Title

Journal

Author(s)

Publication Date

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

Marek Pawlicki

Aleksandra Pawlicka

Rafał Kozik

Michał Choraś

2024/4/25

Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors

Federica Uccello

Marek Pawlicki

Salvatore D’Antonio

Rafał Kozik

Michał Choraś

2024/3/29

An Innovative Approach to Real-Time Concept Drift Detection in Network Security

Federica Uccello

Marek Pawlicki

Salvatore D’Antonio

Rafał Kozik

Michał Choraś

2024/2/14

When explainability turns into a threat-using xAI to fool a fake news detection method

Computers & Security

Rafał Kozik

Massimo Ficco

Aleksandra Pawlicka

Marek Pawlicki

Francesco Palmieri

...

2024/2/1

Analysis of Extractive Text Summarization Methods as a Binary Classification Problem

Joanna Komorniczak

Szymon Wojciechowski

Jakub Klikowski

Rafał Kozik

Michał Choraś

2023/8/27

Interpreting Intrusions-The Role of Explainability in AI-Based Intrusion Detection Systems

Marek Pawlicki

Aleksandra Pawlicka

Mścisław Śrutek

Rafał Kozik

Michał Choraś

2023/6/28

Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models

Rafał Kozik

Wojciech Mazurczyk

Krzysztof Cabaj

Aleksandra Pawlicka

Marek Pawlicki

...

2023/10/9

The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse

Aleksandra Pawlicka

Marek Pawlicki

Rafał Kozik

Michał Choraś

2023/12/8

Alphabet flatting as a variant of n-gram feature extraction method in ensemble classification of fake news

Engineering Applications of Artificial Intelligence

Paweł Ksieniewicz

Paweł Zyblewski

Weronika Borek-Marciniec

Rafał Kozik

Michał Choraś

...

2023/4/1

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges

Wiktor Kurek

Marek Pawlicki

Aleksandra Pawlicka

Rafał Kozik

Michał Choraś

2023/7/31

Document Annotation Tool for News Content Analysis

Marta Gackowska

Gracjan Katek

Mścisław Śrutek

Rafał Kozik

Michał Choraś

2023/6/28

How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes

Marek Pawlicki

Aleksandra Pawlicka

Rafał Kozik

Michał Choraś

2023/9/15

Deep Learning for Combating Misinformation in Multicategorical Text Contents

Sensors

Rafał Kozik

Wojciech Mazurczyk

Krzysztof Cabaj

Aleksandra Pawlicka

Marek Pawlicki

...

2023/12/7

First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions

Personal and Ubiquitous Computing

Aleksandra Pawlicka

Michał Choraś

Rafał Kozik

Marek Pawlicki

2023/4/1

Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection

Marek Pawlicki

Rafał Kozik

Michał Choraś

2023/6/18

A meta-analysis of state-of-the-art automated fake news detection methods

IEEE Transactions on Computational Social Systems

Rafał Kozik

Aleksandra Pawlicka

Marek Pawlicki

Michał Choraś

Wojciech Mazurczyk

...

2023/7/27

Modern NetFlow network dataset with labeled attacks and detection methods

Mikołaj Komisarek

Marek Pawlicki

Tomi Simic

David Kavcnik

Rafał Kozik

...

2023/8/29

The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems

Aleksandra Pawlicka

Marek Pawlicki

Rafał Kozik

Michał Choraś

2023/12/4

The application of deep learning imputation and other advanced methods for handling missing values in network intrusion detection

Vietnam Journal of Computer Science

Mateusz Szczepański

Marek Pawlicki

Rafał Kozik

Michał Choraś

2023/2/27

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

Rafał Kozik

Michał Choraś

2023/6/7

See List of Professors in Rafal Kozik University(Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy)