Link Prediction of Artificial Intelligence Concepts using Low Computational Power. - Francisco Valente (IEEE BigData, 2021)

Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems. - Francisco Valente; Jorge Henriques; Simão Paredes; Teresa Rocha; Paulo de Carvalho 001; João Morais (EMBC, 2021)

A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario. - Francisco Valente; Jorge Henriques; Simão Paredes; Teresa Rocha; Paulo de Carvalho 001; João Morais (Artif. Intell. Medicine, 2021)

Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems. - Francisco Valente; Simão Paredes; Jorge Henriques (CoRR, 2021)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

Interpretability, personalization and reliability of a machine learning based clinical decision support system. - Francisco Valente; Simão Paredes; Jorge Henriques; Teresa Rocha; Paulo de Carvalho 001; João Morais (Data Min. Knowl. Discov., 2022)

ELSA Speech Analyzer: English Communication Assessment of Spontaneous Speech. - Xavier Anguera; Jorge Proença; Kristina Gulordava; Balázs Tarján; Nicholas Parslow; Vladimir Dobrovolskii; Francisco Valente; Raphael Girard (SLaTE, 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)