TAVAZZI, ERICA

TAVAZZI, ERICA  

Dipartimento di Ingegneria dell'Informazione - DEI  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data 2020 Daberdaku, SebastianTavazzi, EricaDi Camillo, Barbara JOURNAL OF HEALTHCARE INFORMATICS RESEARCH - -
A differential process mining analysis of COVID-19 management for cancer patients 2022 Tavazzi E. + FRONTIERS IN ONCOLOGY - -
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population 2021 Roversi, ChiaraTavazzi, EricaVettoretti, MartinaDi Camillo, Barbara - - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population 2024 Roversi C.Tavazzi E.Vettoretti M.Di Camillo B. SCIENTIFIC REPORTS - -
A process mining approach to real-world advanced melanoma treatments 2020 Erica Tavazzi + JOURNAL OF CLINICAL ONCOLOGY - Abstracts of the American Society Of Clinical Oncology (ASCO) 2020 Virtual Conference
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset 2021 Tavazzi, Erica + - LECTURE NOTES IN BUSINESS INFORMATION PROCESSING Process Mining Workshops - ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers
An adaptive K-Nearest Neighbours algorithm for the imputation of static and dynamic mixed-type clinical data 2019 Erica TavazziSebastian DaberdakuAlessandro ZandonàBarbara Di Camillo + - - Proceedings of CIBB 2019
An Innovative Tool for Trace Representation and Analysis in Process Mining in Healthcare 2023 Erica Tavazzi + - - Proceedings of the 1st International Workshop on Process Mining Applications for Healthcare (PM4H 23), organised in conjunction with the International Conference on Artificial Intelligence in Medicine (AIME 2023)
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.Trescato I.Roversi C.Guazzo A.Fariselli P.Di Camillo B. + ARTIFICIAL INTELLIGENCE IN MEDICINE - -
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression 2022 Isotta TrescatoAlessandro GuazzoEnrico LongatoEnidia HazizajChiara RoversiErica TavazziMartina VettorettiBarbara Di Camillo - - CLEF 2022 Working Notes, CEUR Workshop Proceedings
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression 2023 Guazzo A.Trescato I.Longato E.Tavazzi E.Vettoretti M.Di Camillo B. - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Comparing Propensity Score-Based Methods in Estimating the Treatment Effect: A Simulation Study. 2024 Sara PolettoEnrico LongatoErica TavazziMartina Vettoretti - - Proceedings of CIBB 2024
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 2022 Erica TavazziEnrico LongatoMartina Vettoretti + Lecture Notes in Computer Science - -
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis 2023 Longato, EnricoTavazzi, EricaSparacino, GiovanniDi Camillo, Barbara + - LECTURE NOTES IN COMPUTER SCIENCE Artificial Intelligence in Medicine 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings
Development of predictive models for short-term prediction of disability progression in multiple sclerosis 2023 Tavazzi E.Vettoretti M. + - - Proceedings of the 8th National Congress of Bioengineering, GNB 2023
Discriminazione della distanza relativa tra sorgenti sonore virtuali 2015 Erica TavazziSimone SpagnolFederico Avanzini - - Atti del 42° Convegno Nazionale dell'Associazione Italiana di Acustica
Distance rendering and perception of nearby virtual sound sources with a near-field filter model 2017 SPAGNOL, SIMONETAVAZZI, ERICAAVANZINI, FEDERICO APPLIED ACOUSTICS - -
Dynamic Bayesian Networks and Transfer Learning Enable the Development of Deep Sequence-Based Models on Small-Sample Data 2023 Longato E.Tavazzi E.Sparacino G.Di Camillo B. + - - Proceedings of the 8th National Congress of Bioengineering, GNB 2023
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling 2024 Isotta TrescatoErica TavazziMartina VettorettiBarbara Di Camillo + IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS - -
Eleven quick tips for data cleaning and feature engineering 2022 Tavazzi E. + PLOS COMPUTATIONAL BIOLOGY - -