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João Vitorino

Orcid: 0000-0002-4968-3653

Affiliations:

School of Engineering, Polytechnic of Porto (ISEP/IPP), Porto, Portugal

According to our database¹, João Vitorino authored at least 34 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of five.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on scholar.google.com

On csauthors.net:

Bibliography

2026

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data.

[DOI]

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CoRR, May, 2026

Machine Learning Transferability for Malware Detection.

[DOI]

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CoRR, March, 2026

MeAJOR: Merged email Assets from Joint Open-source Repositories.

[DOI]

Francisco Cardoso

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Dataset, February, 2026

MeAJOR: Merged email Assets from Joint Open-source Repositories.

[DOI]

Francisco Cardoso

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Dataset, February, 2026

MeAJOR: Merged email Assets from Joint Open-source Repositories.

[DOI]

Francisco Cardoso

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Dataset, January, 2026

Intelligent Ship Arrival Time Estimation with AIS Routes.

[DOI]

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Proceedings of the 12th International Conference on Vehicle Technology and Intelligent Transport Systems, 2026

2025

Reliable feature selection for adversarially robust cyber-attack detection.

[DOI]

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Ann. des Télécommunications, April, 2025

GeNIS: GECAD Network Intrusion Scenarios.

[DOI]

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José Gonçalves

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Dataset, February, 2025

SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards.

[DOI]

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Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Magecart Malware Detection with Feature Engineering.

[DOI]

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Proceedings of the 23rd International Symposium on Network Computing and Application, 2025

Adversarially Robust and Interpretable Magecart Malware Detection.

[DOI]

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Proceedings of the 23rd International Symposium on Network Computing and Application, 2025

Flow Exporter Impact on Intelligent Intrusion Detection Systems.

[DOI]

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Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025

Revisiting Network Traffic Analysis: Compatible Network Flows for ML Models.

[DOI]

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Proceedings of the Foundations and Practice of Security, 2025

Binary and Multiclass Cyberattack Classification on GeNIS Dataset.

[DOI]

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Maria João Viamonte

Proceedings of the Foundations and Practice of Security - 18th International Symposium, 2025

Enhancing JavaScript Malware Detection Through Weighted Behavioral DFAs.

[DOI]

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José Gonçalves

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Proceedings of the Cybersecurity - 9th European Interdisciplinary Cybersecurity Conference, 2025

2024

Network Simulation with Complex Cyber-attack Scenarios.

[DOI]

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CoRR, 2024

Intelligent Green Efficiency for Intrusion Detection.

[DOI]

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Proceedings of the Foundations and Practice of Security - 17th International Symposium, 2024

Adversarial Evasion Attack Efficiency Against Large Language Models.

[DOI]

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Proceedings of the Distributed Computing and Artificial Intelligence, 2024

Efficient Network Traffic Feature Sets for IoT Intrusion Detection.

[DOI]

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Proceedings of the Distributed Computing and Artificial Intelligence, 2024

Extended Reality and Phobia Treatments: A Systematic Literature Review.

[DOI]

Tatiana Ferreira

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Tatiana Batista

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Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024

2023

SoK: Realistic adversarial attacks and defenses for intelligent network intrusion detection.

[DOI]

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Comput. Secur., November, 2023

Towards adversarial realism and robust learning for IoT intrusion detection and classification.

[DOI]

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Ann. des Télécommunications, August, 2023

IFEED: Interactive Facial Expression and Emotion Detection Dataset.

[DOI]

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Dataset, May, 2023

IFEED: Interactive Facial Expression and Emotion Detection Dataset.

[DOI]

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Dataset, May, 2023

KeyRecs: Keystroke Dynamics Dataset.

[DOI]

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Dataset, May, 2023

Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review.

[DOI]

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CoRR, 2023

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection.

[DOI]

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Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework.

[DOI]

Tiago Fontes Dias

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Maria João Viamonte

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities.

[DOI]

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Andreia Martins

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Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection.

[DOI]

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Lourenço Abrunhosa Rodrigues

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André Lourenço

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection.

[DOI]

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Future Internet, 2022

A Low-Cost Multi-Agent System for Physical Security in Smart Buildings.

[DOI]

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Luís Lino Ferreira

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CoRR, 2022

A Multi-policy Framework for Deep Learning-based Fake News Detection.

[DOI]

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Proceedings of the Distributed Computing and Artificial Intelligence, 2022

2021

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection.

[DOI]

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Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021

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