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ORCIDFrancisco Valente
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2020 – today
- 2023
[j3]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:
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5(11): 1326-1335 (2023)- [c3]Xavier Anguera, Jorge Proença, Kristina Gulordava, Balázs Tarján, Nicholas Parslow, Vladimir Dobrovolskii, Francisco Valente, Raphael Girard:
ELSA Speech Analyzer: English Communication Assessment of Spontaneous Speech. SLaTE 2023: 95-96 - 2022
- [j2]Francisco Valente, Simão Paredes, Jorge Henriques, Teresa Rocha, Paulo de Carvalho, João Morais:
Interpretability, personalization and reliability of a machine learning based clinical decision support system. Data Min. Knowl. Discov. 36(3): 1140-1173 (2022) - [i5]Francisco Valente:
Link Prediction of Artificial Intelligence Concepts using Low Computational Power. CoRR abs/2202.03393 (2022) - [i4]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:
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR abs/2210.00881 (2022) - 2021
- [j1]Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais:
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario. Artif. Intell. Medicine 117: 102113 (2021) - [c2]Francisco Valente:
Link Prediction of Artificial Intelligence Concepts using Low Computational Power. IEEE BigData 2021: 5828-5832 - [c1]Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais:
Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems. EMBC 2021: 2132-2135 - [i3]Francisco Valente, Simão Paredes, Jorge Henriques:
Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems. CoRR abs/2106.07827 (2021) - [i2]Francisco Valente, Simão Paredes, Jorge Henriques:
Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems. CoRR abs/2107.07483 (2021) - [i1]Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais:
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario. CoRR abs/2110.08331 (2021)
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