"Less is more": Simplifying point clouds to improve grasping performance. - Vasco Lopes; Luís A. Alexandre; Miguel Fernandes (ICARSC, 2018)

An Overview of Blockchain Integration with Robotics and Artificial Intelligence. - Vasco Lopes; Luís A. Alexandre (CoRR, 2018)

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. - Vasco Lopes; Nuno Pereira 003; Luís A. Alexandre (CVPR Workshops, 2019)

Detecting Robotic Anomalies using RobotChain. - Vasco Lopes; Luís A. Alexandre (ICARSC, 2019)

Controlling Robots using Artificial Intelligence and a Consortium Blockchain. - Vasco Lopes; Luís A. Alexandre; Nuno Pereira 003 (CoRR, 2019)

Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. - João Neves 002; Ruben Tolosana; Rubén Vera-Rodríguez; Vasco Lopes; Hugo Proença 001 (CoRR, 2019)

Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. - Vasco Lopes; Luís A. Alexandre (ICONIP (1), 2020)

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization. - Vasco Lopes; Luís A. Alexandre (CoRR, 2020)

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. - João C. Neves 001; Ruben Tolosana; Rubén Vera-Rodríguez; Vasco Lopes; Hugo Proença 001; Julian Fiérrez (IEEE J. Sel. Top. Signal Process., 2020)

EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. - Vasco Lopes; Saeid Alirezazadeh; Luís A. Alexandre (ICANN (5), 2021)

A Time-Segmented Consortium Blockchain for Robotic Event Registration. - Vasco Lopes; Nuno Pereira 003; Miguel Fernandes; Luís A. Alexandre (ICBCT, 2021)

An AutoML-based Approach to Multimodal Image Sentiment Analysis. - Vasco Lopes; António Gaspar; Luís A. Alexandre; João Cordeiro (IJCNN, 2021)

A Hybrid Method for Training Convolutional Neural Networks. - Vasco Lopes; Paulo A. P. Fazendeiro (SAI (3), 2021)

Guided Evolution for Neural Architecture Search. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (CoRR, 2021)

Mathematical Models to Measure the Variability of Nodes and Networks in Team Sports. - Fernando M. L. Martins; Ricardo Gomes; Vasco Lopes; Frutuoso G. M. Silva; Rui Mendes 003 (Entropy, 2021)

REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. - Bruno Degardin; Vasco Lopes; Hugo Proença 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Efficient guided evolution for neural architecture search. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (GECCO Companion, 2022)

Controlling Robots using Image Analysis and a Consortium Blockchain. - Vasco Lopes; Luís A. Alexandre; Nuno Pereira 003 (ICARCV, 2022)

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. - Bruno Degardin; João Neves 002; Vasco Lopes; João Brito; Ehsan Yaghoubi; Hugo Proença 001 (WACV, 2022)

Towards Less Constrained Macro-Neural Architecture Search. - Vasco Lopes; Luís A. Alexandre (CoRR, 2022)

ATOM: Self-supervised human action recognition using atomic motion representation learning. - Bruno Degardin; Vasco Lopes; Hugo Proença 001 (Image Vis. Comput., 2023)

Are neural architecture search benchmarks well designed? A deeper look into operation importance. - Vasco Lopes; Bruno Degardin; Luís A. Alexandre (Inf. Sci., 2023)

Zero-Shot Action Recognition in Surveillance Videos. - João Pereira 007; Vasco Lopes; David Semedo; João Neves 006 (CoRR, 2024)

Guided evolutionary neural architecture search with efficient performance estimation. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (Neurocomputing, 2024)

Manas: multi-agent neural architecture search. - Vasco Lopes; Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Antoine Yang; Victor Gabillon; Hang Xu; Zewei Chen; Jun Wang 012 (Mach. Learn., 2024)

Fake It Till You Recognize It: Quality Assessment for Human Action Generative Models. - Bruno Degardin; Vasco Lopes; Hugo Proença 001 (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Towards Event-Driven Evaluation of Surveillance Video Understanding Using Natural Language. - João Pereira 007; Vasco Lopes; João Neves 006; David Semedo (IbPRIA (2), 2025)

Toward Less Constrained Macro-Neural Architecture Search. - Vasco Lopes; Luís A. Alexandre (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding. - João Pereira 007; Vasco Lopes; David Semedo; João Neves 006 (CoRR, 2025)