| Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy E Ghisoni, A Wicky, H Bouchaab, M Imbimbo, J Delyon, BG Moura, ... European journal of cancer 149, 153-164, 2021 | 123 | 2021 |
| A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data S Daberdaku, E Tavazzi, B Di Camillo Journal of Healthcare Informatics Research 4 (2), 174-188, 2020 | 32 | 2020 |
| Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach E Tavazzi, S Daberdaku, R Vasta, A Calvo, A Chiò, B Di Camillo BMC Medical Informatics and Decision Making 20 (Suppl 5), 174, 2020 | 27 | 2020 |
| Distance rendering and perception of nearby virtual sound sources with a near-field filter model S Spagnol, E Tavazzi, F Avanzini Applied Acoustics 115, 61-73, 2017 | 26 | 2017 |
| Eleven quick tips for data cleaning and feature engineering D Chicco, L Oneto, E Tavazzi PLOS Computational Biology 18 (12), e1010718, 2022 | 24 | 2022 |
| Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, A Helena, ... CEUR WORKSHOP PROCEEDINGS 3497, 1123-1164, 2023 | 21 | 2023 |
| Overview of iDPP@ CLEF 2022: the intelligent disease progression prediction challenge A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... CEUR WORKSHOP PROCEEDINGS 3180, 1130-1210, 2022 | 21 | 2022 |
| What role can process mining play in recurrent clinical guidelines issues? a position paper R Gatta, M Vallati, C Fernandez-Llatas, A Martinez-Millana, S Orini, ... International journal of environmental research and public health 17 (18), 6616, 2020 | 20 | 2020 |
| Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression E Tavazzi, S Daberdaku, A Zandonà, R Vasta, B Nefussy, C Lunetta, ... Journal of neurology 269 (7), 3858-3878, 2022 | 15 | 2022 |
| Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ... Artificial Intelligence in Medicine 142, 102588, 2023 | 14 | 2023 |
| A process mining approach to statistical analysis: Application to a real-world advanced melanoma dataset E Tavazzi, CL Gerard, O Michielin, A Wicky, R Gatta, MA Cuendet Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021 | 14 | 2021 |
| Intelligent disease progression prediction: overview of iDPP@ CLEF 2022 A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 13 | 2022 |
| Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis E Tavazzi, R Gatta, M Vallati, S Cotti Piccinelli, M Filosto, A Padovani, ... BMC Medical Informatics and Decision Making 22 (Suppl 6), 346, 2022 | 10 | 2022 |
| Intelligent disease progression prediction: overview of iDPP@ CLEF 2023 G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, H Aidos, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 9 | 2023 |
| Intelligent disease progression prediction: overview of iDPP@ CLEF 2024 G Birolo, P Bosoni, G Faggioli, H Aidos, R Bergamaschi, P Cavalla, ... International Conference of the Cross-Language Evaluation Forum for European …, 2024 | 8 | 2024 |
| Interpolation and K-nearest neighbours combined imputation for longitudinal ICU laboratory data S Daberdaku, E Tavazzi, B Di Camillo 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 8 | 2019 |
| A differential process mining analysis of COVID-19 management for cancer patients MA Cuendet, R Gatta, A Wicky, CL Gerard, M Dalla-Vale, E Tavazzi, ... Frontiers in Oncology 12, 1043675, 2022 | 7 | 2022 |
| A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population C Roversi, E Tavazzi, M Vettoretti, B Di Camillo 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 6 | 2021 |
| Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. A Guazzo, I Trescato, E Longato, E Tavazzi, M Vettoretti, B Di Camillo CLEF (Working Notes), 1219-1232, 2023 | 5 | 2023 |
| Relative auditory distance discrimination with virtual nearby sound sources S Spagnol, E Tavazzi, F Avanzini Proc 18th int conf digital audio effects (DAFx-15), Trondheim, Norway, 237-242, 2015 | 5 | 2015 |
Barbara Di CamilloUniversity of Padova, Information Engineering DepartmentVerified email at dei.unipd.it
