Posted on December 17, 2025April 16, 2026Longato E, Tavazzi E, Milani A, Marinello E, Bosoni P, Dagliati A, Vazifehdan M, Bellazzi R, Trescato I, Guazzo A, Vettoretti M, Tavazzi El, Ahmad L, Bergamaschi R, Cavalla P, Manera U, Chiò A, Di Camillo B. Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis via Sequences of Environmental Data, In: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE Computer Society, 2025
Posted on December 17, 2025April 16, 2026Poletto S, Gonzato N, Tavazzi E, Longato E, Adler A, Gall MA, Müllenborn M, Di Camillo B, Vettoretti M. A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes, In: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE Computer Society, 2025
Posted on September 5, 2025April 16, 2026De Mori Bajolin F, Bianchi AM, Tavazzi E. A Multivariate Deep-Learning Approach for Stratifying Amyotrophic Lateral Sclerosis Patients Based on Temporal Dynamics. In: Proc. 20th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2025.
Posted on July 22, 2025April 16, 2026Nucciarelli L, Gottardelli B, Tudor AM, Vallati M, Tavazzi E, et al. Privacy-by-design GEN-RWD Sandbox for Distributed Multicentric Data Analysis in Healthcare: The Proxy Module, In: Proc. 2025 IEEE 13th International Conference on Healthcare Informatics, ICHI 2025, IEEE Computer Society, 2025.
Posted on June 23, 2025April 16, 2026Nucciarelli L, Gatta R, Tudor AM, Tavazzi E, et al. Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated α+ Algorithm, In: Proceedings of the 23st International Conference of Artificial Intelligence in Medicine, AIME 2025, Lecture Notes in Computer Science (LNCS) 2025
Posted on June 23, 2025April 16, 2026Dei Cas D, Longato E, Tavazzi E, Manera U, Chiò A, Gromicho M, Alves I, de Carvalho M, Di Camillo B. Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis, In: Proceedings of the 23st International Conference of Artificial Intelligence in Medicine, AIME 2025, Lecture Notes in Computer Science (LNCS) 2025
Posted on April 30, 2025Baruzzo G, Cesaro G, Di Camillo B. quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data. Proceedings of the 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) 2025
Posted on March 4, 2025May 6, 2025Guazzo A, Longato E, Trescato I, Tavazzi Er, Chiò A, Manera U, Zocco G, Cavalla P, Vercellino M,Ahmad L, Tavazzi El, Bergamaschi R, Padman R, Di Camillo B. Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data. In: Machine Learning, Optimization, and Data Science: 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September22–25, 2024, Revised Selected Papers, Part II, Lecture Notes in Computer Science (LNCS) 2025.
Posted on December 6, 2024January 29, 2025Marinello E, Tavazzi E, Longato E, Bosoni P, Dagliati A, Vazifehdan M, Bellazzi R, Trescato I, Guazzo A, Vettoretti M, Tavazzi E, Ahmad L, Bergamaschi R, Cavalla P, Manera, U, Chiò A, Di Camillo B. Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024
Posted on November 26, 2024May 6, 2025Trescato I, Guazzo A, Longato E, Tavazzi E, Vettoretti M, Manera U, Chiò A, Gromicho M, Alves I, de Carvalho M, Di Camillo B. Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability. In: Proc. IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (IEEE RTSI) 2024.
