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.
Posted on September 19, 2024May 6, 2025Birolo G, Bosoni P, Faggioli G, Aidos H, Bergamaschi R, Cavalla P, Chiò A, Dagliati A, de Carvalho M, Di Nunzio GM, Fariselli P, Garcia Dominguez JM, Gromicho M, Guazzo A, Longato E, Madeira S, Manera U, Marchesin S, Menotti L, Silvello G, Tavazzi EL, Tavazzi Er, Trescato I, Vettoretti M, DiCamillo B, Ferro N. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. Lect Notes in Comp Science (LNCS) 2024.
Posted on September 12, 2024May 6, 2025Birolo G, Bosoni P, Faggioli G, Aidos H, Bergamaschi R, Cavalla P, Chiò A, Dagliati A, de Carvalho M, Di Nunzio GM, Fariselli P, Garcia Dominguez JM, Gromicho M, Guazzo A, Longato E, Madeira S, Manera U, Marchesin S, Menotti L, Silvello G, Tavazzi EL, Tavazzi Er, Trescato I, Vettoretti M, Di Camillo B, Ferro N. Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. In: Int Conf of the Cross-Language Ev Forum for Europ Lan. Cham: Springer Nat Switz, 2023.
Posted on September 12, 2024May 6, 2025Marinello E, Guazzo A, Longato E, Tavazzi E, Trescato I, Vettoretti M, Di Camillo B. Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. In: Working Notes of the Conf. and Labs of the Evaluation Forum (CLEF) 2024.
Posted on September 5, 2024July 30, 2024Marinello 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. Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. In: Proc. 19th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2024.
Posted on September 4, 2024July 30, 2024Dei Cas D, Di Camillo B, Fadini GP, Sparacino G and Longato E. Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes. In: Proc. 19th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2024.
Posted on September 4, 2024July 30, 2024Poletto S, Longato E, Tavazzi E, Vettoretti M. Comparing Propensity Score-Based Methods in Estimating the Treatment Effect: A Simulation Study. In: Proc. 19th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2024.
