TAVAZZI, ERICA
TAVAZZI, ERICA
Dipartimento di Ingegneria dell'Informazione - DEI
Correction: A differential process mining analysis of COVID-19 management for cancer patients (Frontiers in Oncology, (2022), 12, (1043675), 10.3389/fonc.2022.1043675)
2026 Cuendet, M. A.; Gatta, R.; Wicky, A.; Gerard, C. L.; Dalla-Vale, M.; Tavazzi, E.; Michielin, G.; Delyon, J.; Cesbron, J.; Lofek, S.; Huber, A.; Pradervand, S.; Michielin, O.
Deep Learning-Based ALS Patient Stratification
2026 De Mori Bajolin, Federico; Tavazzi, Erica; Osvaldo Mendez, Martin; Maria Bianchi, Anna
Environmental Personal Exposure Clusters to Investigate Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression
2026 Bosoni, Pietro; Vazifehdan, Mahin; Aidos, Helena; Alves, Inês; Birolo, Giovanni; Faggioli, Guglielmo; González-Martínez, Sergio; Gromicho, Marta; Jovanović, Aleksandar; Kostić, Borko; Longato, Enrico; Manera, Umberto; Tavazzi, Eleonora; Tavazzi, Erica; Bellazzi, Riccardo; Bergamaschi, Roberto; Fernanda Cabrera, Maria; Chiò, Adriano; De Carvalho, Mamede; Di Camillo, Barbara; Fariselli, Piero; Ferro, Nicola; Madeira, Sara C.; Dagliati, Arianna
Generating longitudinal synthetic data in type 2 diabetes using dynamic Bayesian networks: A case study on the LEADER trial dataset
2026 Poletto, S; Gonzato, N; Tavazzi, E; Longato, E; Adler, A; Gall, Ma; Müllenborn, M; Di Camillo, B; Vettoretti, M
GRAPHIA: Patient-Specific Weighting of Gene Interaction Networks Reveals Transcriptomic Dysregulation via Optimal Transport
2026 Marinello, E; Cesaro, G; Tavazzi, E; Di Camillo, B
Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering
2026 De Mori Bajolin, Federico; Tavazzi, Erica; Bianchi, Anna M.; Mendez, Martin O.
Simulation-based comparison of propensity score methods for treatment effect estimation on real-world data
2026 Poletto, S; Longato, E; Tavazzi, E; Vettoretti, M.
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling
2026 Vazifehdan, Mahin; Bosoni, Pietro; Tavazzi, Erica; Longato, Enrico; Tavazzi, Eleonora; Bergamaschi, Roberto; Di Camillo, Barbara; Abu-Hanna, Ameen; Bellazzi, Riccardo; Dagliati, Arianna
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes
2025 Poletto, S.; Gonzato, N.; Tavazzi, E.; Longato, E.; Adler, A.; Gall, M. A.; Mullenborn, M.; Di Camillo, B.; Vettoretti, M.
A Multivariate Deep-Learning Approach for Stratifying Amyotrophic Lateral Sclerosis Patients Based on Temporal Dynamics
2025 De Mori Bajolin, Federico; Maria Bianchi, Anna; Tavazzi, Erica
Clusters of Personal Environmental Exposure for Investigating Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression
2025 Bosoni, P; Vazifehdan, M; Aidos, H; Alves, I; Birolo, G; Faggioli, G; Gonzazlez-Martinez, S; Gromicho, M; Jovanovic, A; Kostic, B; Longato, E; Manera, U; Tavazzi, El; Tavazzi, E; Bellazzi, R; Bergamaschi, R; Cabrera, Fm; Chiò, A; De Carvalho, M; Di Camillo, B; Fariselli, P; Ferro, Nicola; Madeira, Sc; Dagliati, A.
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data
2025 Longato, E.; Tavazzi, E.; Milani, A.; Marinello, E.; Bosoni, P.; Dagliati, A.; Vazifehdan, M.; Bellazzi, R.; Trescato, I.; Guazzo, A.; Vettoretti, M.; Tavazzi, Eleonora; Ahmad, L.; Bergamaschi, R.; Cavalla, P.; Manera, U.; Chio, A.; Di Camillo, B.
Evaluating propensity-score-based methods in treatment effect estimation: a simulation study
2025 Poletto, S.; Longato, E.; Tavazzi, E.; Vettoretti, M.
Explainable AI-Driven Prognostic Models in ALS: Insights from the BRAINTEASER Project
2025 Tavazzi, E.; Longato, E.; Trescato, I.; Guazzo, A.; Vettoretti, M.; Birolo, G.; Manera, U.; Chiò, A.; Gromicho, M.; Alves, I.; de Carvalho, M.; Fariselli, Piero; Di Camillo, B.
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling
2025 Cappon, G.; Marco, Catanuso; Tavazzi, E.; Elkind-Hirsch, K.; Facchinetti, Andrea
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis
2025 Dei Cas, Davide; Longato, Enrico; Tavazzi, Erica; Manera, Umberto; Chiò, Adriano; Gromicho, Marta; Alves, Inês; De Carvalho, Mamede; Di Camillo, Barbara
Federated I-PALIA: Privacy-By-Design Distributed Process Discovery for Duplicated Activities in Healthcare
2025 Nucciarelli, Leonardo; Fernández Llatas, Carlos; Tavazzi, Erica; Gatta, Roberto; Mihaela Tudor, Andrada; Vallati, Mauro; Ibanez-Sanchez, Gema; Valero-Ramon, Zoe; Damiani, Andrea
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks
2025 Tavazzi, Erica; Roversi, Chiara; Vettoretti, Martina; Di Camillo, Barbara
Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data
2025 Guazzo, A.; Longato, E.; Trescato, I.; Tavazzi, E.; Chiò, A.; Manera, U.; Zocco, G.; Cavalla, P.; Vercellino, M.; Ahmad, L.; Tavazzi, E.; Bergamaschi, R.; Padman, R.; Di Camillo, B.
Predicting the Next Clinical Event in Amyotrophic Lateral Sclerosis using Process-Oriented Machine Learning Models: A Case Study
2025 Mihaela Tudor, Andrada; Tavazzi, Erica; Nucciarelli, Leonardo; Gatta, Roberto; Orini, Stefania; Orzella, Irene; Arcuri, Giovanni; Damiani, Andrea