Posted on November 16, 2021March 25, 2022Trescato I, Tavazzi E, Vettoretti M, Vasta R, Chiò A, Di Camillo B. Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021.
Posted on November 16, 2021March 25, 2022Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Castellano M, Di Camillo B. Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021
Posted on July 29, 2021September 28, 2021Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. In: Proc. 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021
Posted on June 16, 2021February 6, 2024Longato E, Fadini GP, Sparacino G, Avogaro A, Di Camillo B. Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-Up Data. In: Proc. of the 19th International Conference on Artificial Intelligence in Medicine (AIME) 2021.
Posted on October 5, 2020October 20, 2021Tavazzi E, Gérard CL, Michielin O, Wicky A, Gatta R, Cuendet M. A Process Mining approach to statistical analysis: application to a real-world advanced melanoma dataset. Lect. Notes Bus. Inf. Process 2020
Posted on November 21, 2019October 19, 2020Daberdaku S, Tavazzi E, Di Camillo B. Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. In: 2019 IEEE International Conference on Healthcare Informatics (ICHI)
Posted on September 4, 2019August 22, 2022Tavazzi E, Daberdaku S, Zandonà A, Vasta R, Calvo A, Chiò A, and Di Camillo B. An Adaptive K-Nearest Neighbours Algorithm for the Imputation of Static and Dynamic Mixed-Type Clinical Data. In: Proc. 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB), pp. 285-284, Bergamo (2019).
Posted on November 9, 2012October 16, 2020Finotello F, Lavezzo E, Barzon L, Mazzon P, Fontana P, Toppo S, Di Camillo B. A strategy to reduce technical variability and bias in RNA sequencing data. Erik Bongcam-Rudloff editor. EMBnet Journal Vol 18(B). Oral communication in NETTAB 2012. EMBnet 2012
Posted on April 29, 2012October 16, 2020Finotello F, Lavezzo E, Barzon L, Fontana P, Si-Ammour A, Toppo S, Di Camillo B. RNA sequencing data: biases and normalization. Erik Bongcam-Rudloff editor. EMBnet Journal Vol 18(A). BITS 2012. EMBnet 2012
Posted on April 25, 2012October 16, 2020Zycinski G, Squillario M, Barla A, Sanavia T, Verri A and Di Camillo B. Discriminant functional gene groups identification with machine learning and prior knowledge. In Michel Verleysen editor. ESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve, Belgium Ciaco – i6doc.com 2012
