| 2026 | AAAI | FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding. | Joo Alexandre Cardeira Pereira, Vasco Lopes, Joo Neves, David Semedo |
| 2025 | IBPRIA | Towards Event-Driven Evaluation of Surveillance Video Understanding Using Natural Language. | Joo Pereira, Vasco Lopes, Joo Neves, David Semedo |
| 2022 | GECCO | Efficient guided evolution for neural architecture search. | Vasco Lopes, Miguel Santos, Bruno Degardin, Lus A. Alexandre |
| 2022 | ICARCV | Controlling Robots using Image Analysis and a Consortium Blockchain. | Vasco Lopes, Lus A. Alexandre, Nuno Pereira |
| 2022 | WACV | Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. | Bruno Degardin, Joo Neves, Vasco Lopes, Joo Brito, Ehsan Yaghoubi, Hugo Proena |
| 2021 | ICANN | EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. | Vasco Lopes, Saeid Alirezazadeh, Lus A. Alexandre |
| 2021 | IJCNN | An AutoML-based Approach to Multimodal Image Sentiment Analysis. | Vasco Lopes, Antnio Gaspar, Lus A. Alexandre, Joo Cordeiro |
| 2020 | ICONIP | Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. | Vasco Lopes, Lus A. Alexandre |
| 2019 | CVPR | Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. | Vasco Lopes, Nuno Pereira, Lus A. Alexandre |