A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- Tobia Boschi
- Francesca Bonin
- et al.
- 2024
- ICML 2024
Tobia Boschi
Title
Researcher
Bio
Dr. Tobia Boschi is a Research Scientist at IBM Research Dublin. Before joining IBM, Tobia received a Ph.D. in Statistics from Penn State University and an M.Sc degree in Mathematical Engineering from Politecnico Di Milano.
Tobia's research focuses mainly on supervised methods for Functional Data. In his work, he combines statistics, machine learning, optimization, and advanced computing techniques to improve the quality of the estimates and perform variable selection. His methods are particularly relevant for "Omics" and Health and Biomedical studies.
Publications
Predictive Analytics and Digital Health Technologies for High-Risk Infants
- Francesca Bonin
- Tobia Boschi
- et al.
- 2024
- ICDH 2024
ProInsight: A Tool for Risk Prediction and Impact Evaluation of Digital Health Solution Implementations
- Tobia Boschi
- Francesca Bonin
- et al.
- 2024
- ICDH 2024
Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress Evaluation
- Luca Carmisciano
- Tobia Boschi
- et al.
- 2024
- ISCC 2024
Projects
Developing AI and analytics to understand the drivers of study or clinical trial efficiency.
Top collaborators
AP
Alessandra Pascale
Senior Research Scientist and manager, Accelerated Discovery, NLP and Inference on Graphs
RO
Rodrigo Ordonez-Hurtado
Research Scientist
JR
Jeff Rogers
Global Research Leader-Digital Health, Distinguished Scientist, Senior Manager