Francisco Valente

According to our database, Francisco Valente authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp

Nat. Mac. Intell., October, 2023

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

Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

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, João Morais

Data Min. Knowl. Discov., 2022

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, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp

CoRR, 2022

2021

Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems.

Francisco Valente, Simão Paredes, Jorge Henriques

CoRR, 2021

Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems.

Francisco Valente, Simão Paredes, Jorge Henriques

CoRR, 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, João Morais

Artif. Intell. Medicine, 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, João Morais

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Link Prediction of Artificial Intelligence Concepts using Low Computational Power.

Francisco Valente

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021