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ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability

IEEE access, 2024, Vol.12, p.123561-123580

Pawlicki, Marek

2024

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A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4583

2020

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A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment

Pattern analysis and applications : PAA, 2021-11, Vol.24 (4), p.1441-1449

2021

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Sensors and Pattern Recognition Methods for Security and Industrial Applications

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.5968

2022

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Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

IEEE access, 2021, Vol.9, p.5371-5396

2021

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Deep Learning for Combating Misinformation in Multicategorical Text Contents

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9666

2023

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The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4319

2021

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Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees

PloS one, 2020-05, Vol.15 (5), p.e0232771-e0232771

2020

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How to Effectively Collect and Process Network Data for Intrusion Detection?

Entropy (Basel, Switzerland), 2021-11, Vol.23 (11), p.1532

2021

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Detection of Cyberattacks Traces in IoT Data

J.UCS (Annual print and CD-ROM archive ed.), 2020-11, Vol.26 (11), p.1422-1434

2020

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Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Complexity (New York, N.Y.), 2019-01, Vol.2019 (2019), p.1-9

2019

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Intrusion detection approach based on optimised artificial neural network

Neurocomputing (Amsterdam), 2021-09, Vol.452, p.705-715

2021

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A survey on neural networks for (cyber-) security and (cyber-) security of neural networks

Neurocomputing (Amsterdam), 2022-08, Vol.500, p.1075-1087

2022

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Tech developers must respect equitable AI access

Nature (London), 2024-01, Vol.625 (7996), p.663-663

2024

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AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection

Information sciences, 2024-09, Vol.679, p.121097, Article 121097

2024

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Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

Neurocomputing (Amsterdam), 2024-10, Vol.602, p.128282, Article 128282

2024

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Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128450, Article 128450

2024

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Human-driven and human-centred cybersecurity: policy-making implications

Transforming government, 2022-10, Vol.16 (4), p.478-487

2022

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A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods

IEEE transactions on computational social systems, 2024-08, Vol.11 (4), p.5219-5229

2024

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Unsupervised network traffic anomaly detection with deep autoencoders

Logic journal of the IGPL, 2022-11, Vol.30 (6), p.912-925

2022

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Fake news detection platform—conceptual architecture and prototype

Logic journal of the IGPL, 2022-11, Vol.30 (6), p.1005-1016

2022

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Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection

Security and communication networks, 2018-01, Vol.2018 (2018), p.1-8

2018

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Towards Quality Measures for xAI algorithms: Explanation Stability

2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023, p.1-10

Pawlicki, Marek

2023

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Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?

Computational Science – ICCS 2020, 2020, p.615-628

2020

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

Applied Intelligence, p.317-327

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ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability

A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment

Sensors and Pattern Recognition Methods for Security and Industrial Applications

Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

Deep Learning for Combating Misinformation in Multicategorical Text Contents

The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset

Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees

How to Effectively Collect and Process Network Data for Intrusion Detection?

Detection of Cyberattacks Traces in IoT Data

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Intrusion detection approach based on optimised artificial neural network

A survey on neural networks for (cyber-) security and (cyber-) security of neural networks

Tech developers must respect equitable AI access

AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Human-driven and human-centred cybersecurity: policy-making implications

A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods

Unsupervised network traffic anomaly detection with deep autoencoders

Fake news detection platform—conceptual architecture and prototype

Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection

Towards Quality Measures for xAI algorithms: Explanation Stability

Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?

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

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