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Aleksandra Pawlicka

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination
2024 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Neurocomputing · 78
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity
2021 · Aleksandra Pawlicka, Marek Pawlicki, et al. · Sensors · 50
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Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity
2024 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Neurocomputing · 47
Caregiver burden after stroke: a 10-year follow-up study of Polish caregivers for stroke patients
2024 · Krystyna Jaracz, Barbara Grabowska-Fudala, et al. · BMC Nursing · 43
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Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees
2020 · Aleksandra Pawlicka, Marek Pawlicki, et al. · PLoS ONE · 41
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The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation
2024 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Artificial Intelligence Review · 37
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When explainability turns into a threat - using xAI to fool a fake news detection method
2023 · Rafał Kozik, Massimo Ficco, et al. · Computers & Security · 33
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods
2023 · Rafał Kozik, Aleksandra Pawlicka, et al. · IEEE Transactions on Computational Social Systems · 32
The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good
2021 · Aleksandra Pawlicka, Michał Choraś, et al. · Personal and Ubiquitous Computing · 32
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The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT
2023 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Neurocomputing · 30
A $10 million question and other cybersecurity-related ethical dilemmas amid the COVID-19 pandemic
2021 · Aleksandra Pawlicka, Michał Choraś, et al. · Business Horizons · 29
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Has the pandemic made us more digitally literate? Innovative association rule mining study of the relationships between shifts in digital skills and cybersecurity awareness occurring whilst working remotely during the COVID-19 pandemic
2022 · Aleksandra Pawlicka, Renata Tomaszewska, et al. · Journal of Ambient Intelligence and Humanized Computing · 26
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Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance
2020 · Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, et al. · IEEE Technology and Society Magazine · 25
Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective
2020 · Aleksandra Pawlicka, Michał Choraś, et al. · International Conference on Availability, Reliability and Security (ARES) · 24
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case
2024 · Rafał Kozik, Gracjan Kątek, et al. · Neurocomputing · 23
A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models
2025 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Neurocomputing · 22
Development and Psychometric Properties of the Caregiver Burden Scale in Polish Caregivers of Stroke Patients
2022 · Krystyna Jaracz, Barbara Grabowska-Fudala, et al. · Psychology Research and Behavior Management · 21
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AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection
2024 · Aleksandra Pawlicka, Marek Pawlicki, et al. · Information Sciences · 18
First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions
2021 · Aleksandra Pawlicka, Michał Choraś, et al. · Personal and Ubiquitous Computing · 15
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics
2023 · Aleksandra Pawlicka, Marek Pawlicki, et al. · IEEE Access · 14
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The Methods and Approaches of Explainable Artificial Intelligence
2021 · Mateusz Szczepański, Michał Choraś, et al. · Lecture notes in computer science · 14
How Explainable Is Explainability? Towards Better Metrics for Explainable AI
2024 · Aleksandra Pawlicka, Marek Pawlicki, et al. · Springer proceedings in complexity · 13
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity
2024 · Marek Pawlicki, Aleksandra Pawlicka, et al. · 10
Deep Learning for Combating Misinformation in Multicategorical Text Contents
2023 · Rafał Kozik, Wojciech Mazurczyk, et al. · Sensors · 9
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Conflicting ’mother-scientist’ roles. An innovative application of basket analysis in social research
2022 · Ewa Krause, Renata Tomaszewska, et al. · PLoS ONE · 9
Works count: 127
Citation count: 841
H-index: 18
I10-index: 23
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