TAVAZZI, ERICA
TAVAZZI, ERICA
Dipartimento di Ingegneria dell'Informazione - DEI
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data
2020 Daberdaku, Sebastian; Tavazzi, Erica; Di Camillo, Barbara
A differential process mining analysis of COVID-19 management for cancer patients
2022 Cuendet, M. A.; Gatta, R.; Wicky, A.; Gerard, C. L.; Dalla-Vale, M.; Tavazzi, E.; Michielin, G.; Delyon, J.; Ferahta, N.; Cesbron, J.; Lofek, S.; Huber, A.; Jankovic, J.; Demicheli, R.; Bouchaab, H.; Digklia, A.; Obeid, M.; Peters, S.; Eicher, M.; Pradervand, S.; Michielin, O.
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population
2021 Roversi, Chiara; Tavazzi, Erica; Vettoretti, Martina; Di Camillo, Barbara
A process mining approach to real-world advanced melanoma treatments
2020 Gerard, Camille L.; Tavazzi, Erica; Gatta, Roberto; Delyon, Julie; Cuendet, Michel A.; Michielin, Olivier
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset
2021 Tavazzi, Erica; Gerard, Camille L.; Michielin, Olivier; Wicky, Alexandre; Gatta, Roberto; Cuendet, Michel A.
An adaptive K-Nearest Neighbours algorithm for the imputation of static and dynamic mixed-type clinical data
2019 Tavazzi, Erica; Daberdaku, Sebastian; Zandona', Alessandro; Vasta, Rosario; Calvo, Andrea; Chiò, Adriano; DI CAMILLO, Barbara
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
2023 Tavazzi, E.; Longato, E.; Vettoretti, M.; Aidos, H.; Trescato, I.; Roversi, C.; Martins, A. S.; Castanho, E. N.; Branco, R.; Soares, D. F.; Guazzo, A.; Birolo, G.; Pala, D.; Bosoni, P.; Chio, A.; Manera, U.; de Carvalho, M.; Miranda, B.; Gromicho, M.; Alves, I.; Bellazzi, R.; Dagliati, A.; Fariselli, P.; Madeira, S. C.; Di Camillo, B.
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression
2022 Trescato, Isotta; Guazzo, Alessandro; Longato, Enrico; Hazizaj, Enidia; Roversi, Chiara; Tavazzi, Erica; Vettoretti, Martina; DI CAMILLO, Barbara
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression
2023 Guazzo, A.; Trescato, I.; Longato, E.; Tavazzi, E.; Vettoretti, M.; Di Camillo, B.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers
2022 Chicco, Davide; Facchiano, Angelo; Tavazzi, Erica; Longato, Enrico; Vettoretti, Martina; Bernasconi, Anna; Avesani, Simone; Cazzaniga, Paolo
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
2023 Longato, Enrico; Tavazzi, Erica; Chió, Adriano; Mora, Gabriele; Sparacino, Giovanni; Di Camillo, Barbara
Development of predictive models for short-term prediction of disability progression in multiple sclerosis
2023 Tavazzi, E.; Albertini, D.; Vettoretti, M.
Discriminazione della distanza relativa tra sorgenti sonore virtuali
2015 Tavazzi, Erica; Spagnol, Simone; Avanzini, Federico
Distance rendering and perception of nearby virtual sound sources with a near-field filter model
2017 Spagnol, Simone; Tavazzi, Erica; Avanzini, Federico
Eleven quick tips for data cleaning and feature engineering
2022 Chicco, D.; Oneto, L.; Tavazzi, E.
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach
2020 Tavazzi, Erica; Daberdaku, Sebastian; Vasta, Rosario; Calvo, Andrea; Chiò, Adriano; Di Camillo, Barbara
Exploiting the temporal dimension in clinical data mining
2020 Tavazzi, Erica
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression
2019 Chiò, Adriano; Zandonà, Alessandro; Daberdaku, S; Vasta, R; Nefussy, Beatrice; Tavazzi, E; Lunetta, Christian; Mora, Gabriele; Mandrioli, Jessica; Grisan, E; Calvo, Andrea; Moglia, Cristina; Gotkine, Marc; Drory, Vivian; Di Camillo, Barbara
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression
2020 Vasta, R; Zandonà, Alessandro; Daberdaku, S; Tavazzi, E; Nefussy, Beatrice; Lunetta, Christian; Mora, Gabriele; Mandrioli, Jessica; Grisan, E; Tarlarini, Claudia; Calvo, Andrea; Moglia, Cristina; Gotkine, Marc; Drory, Vivian; Chiò, Adriano; DI CAMILLO, Barbara
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression
2019 Chiò, Adriano; Zandonà, Alessandro; Daberdaku, S; Vasta, R; Nefussy, Beatrice; Tavazzi, E; Lunetta, Christian; Mora, Gabriele; Mandrioli, Jessica; Grisan, E; Calvo, Andrea; Moglia, Cristina; Gotkine, Marc; Drory, Vivian; Di Camillo, Barbara