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Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023., , , , , , , , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1272-1285. CEUR-WS.org, (2023)Assessment of seasonal variations of radar backscattering coefficient using sentinel-1 data., , and . IGARSS, page 3402-3405. IEEE, (2016)Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence., , , , and . Sensors, 20 (13): 3793 (2020)Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes., , , , , , , , , and 1 other author(s). NeuroImage, (2019)Age Related Topological Analysis of Synchronization-Based Functional Connectivity., , , , , and . COMPLEX NETWORKS (2), volume 813 of Studies in Computational Intelligence, page 652-662. Springer, (2018)A Novel Synchronization-Based Approach for Functional Connectivity Analysis., , , , , , , and . Complex., (2017)A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease., , , , , , , , , and 1 other author(s). Brain Informatics, 9 (1): 17 (2022)Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning., , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 200-205. CEUR-WS.org, (2023)Combining Graph Analysis and Recurrence Plot on fMRI data., , , , , and . MeMeA, page 18-23. IEEE, (2015)A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis., , , , , , , , , and 5 other author(s). Artif. Intell. Medicine, (December 2023)