| 2026 | DATA | Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data. | Toms Pereira, Joo Vitorino, Eva Maia, Isabel Praa |
| 2026 | WorldCIST | Machine Unlearning for the XGBoost Model with Network Intrusion Datasets. | Diana Magalhes, Eva Maia, Joo Vitorino, Isabel Praa |
| 2026 | WorldCIST | Machine Learning Transferability for Malware Detection. | Csar Vieira, Joo Vitorino, Eva Maia, Isabel Praa |
| 2026 | SECRYPT | Generalizing across Networks: Evaluating Model Transferability for Intrusion Detection. | Miguel Silva, Joo Vitorino, Daniela Pinto, Ivone Amorim, Eva Maia, Isabel Praa |
| 2026 | VEHITS | Intelligent Ship Arrival Time Estimation with AIS Routes. | Paulo Silva, Joo Vitorino, Eva Maia, Isabel Praa |
| 2025 | ICISSP | Flow Exporter Impact on Intelligent Intrusion Detection Systems. | Daniela Pinto, Joo Vitorino, Eva Maia, Ivone Amorim, Isabel Praa |
| 2025 | NCA | Adversarially Robust and Interpretable Magecart Malware Detection. | Pedro Pereira, Jos Gouveia, Joo Vitorino, Eva Maia, Isabel Praa |
| 2025 | NCA | Magecart Malware Detection with Feature Engineering. | Pedro Pereira, Jos Gouveia, Joo Vitorino, Eva Maia, Isabel Praa |
| 2024 | DCAI | Efficient Network Traffic Feature Sets for IoT Intrusion Detection. | Miguel Silva, Joo Vitorino, Eva Maia, Isabel Praa |
| 2024 | DCAI | Adversarial Evasion Attack Efficiency Against Large Language Models. | Joo Vitorino, Eva Maia, Isabel Praa |
| 2023 | AIME | Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection. | Joo Vitorino, Loureno Abrunhosa Rodrigues, Eva Maia, Isabel Praa, Andr Loureno |
| 2023 | DCAI | From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities. | Tiago Dias, Tiago Fonseca, Joo Vitorino, Andreia Martins, Sofia Malpique, Isabel Praa |
| 2023 | ESORICS | Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework. | Tiago Fontes Dias, Joo Vitorino, Tiago Fonseca, Isabel Praa, Eva Maia, Maria Joo Viamonte |
| 2022 | DCAI | A Multi-policy Framework for Deep Learning-based Fake News Detection. | Joo Vitorino, Tiago Dias, Tiago Fonseca, Nuno Oliveira, Isabel Praa |