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European Journal of Cancer (Oxford, England : 1990)|September 14, 2023
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome predictionDavide Chicco, Riccardo Haupt, Alberto Garaventa, et al.
Biodata Mining|September 27, 2025
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clusteringPatrizia Ribino, Maria Mannone, Claudia Di Napoli, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph KernelsLuca Oneto, Nicolo Navarin, Michele Donini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 23, 2025
Robustness-Congruent Adversarial Training for Secure Machine Learning Model UpdatesDaniele Angioni, Luca Demetrio, Maura Pintor, et al.
Brain Communications|February 20, 2026
Data-driven probabilistic mapping of the spatial and molecular landscape of gliomaNardin Samuel, Jurgen Germann, Andrew Yang, et al.
Open Research Europe|August 30, 2023
Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reportsIrene Buselli, Luca Oneto, Carlo Dambra, et al.
Frontiers in Oncology|June 27, 2022
Untargeted LC-HRMS Based-Plasma Metabolomics Reveals 3-O-Methyldopa as a New Biomarker of Poor Prognosis in High-Risk NeuroblastomaSebastiano Barco, Chiara Lavarello, Davide Cangelosi, et al.
Brain : a Journal of Neurology|June 10, 2026
Developmental circuit instability in amyotrophic lateral sclerosis: from hyperexcitability to network collapseIlaria Donati Della Lunga, Letizia Cerutti, Valerio Barabino, et al.
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