VEROSIMILE, ALESSANDRO
VEROSIMILE, ALESSANDRO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
Fast Voltage Estimation on MV Distribution Networks Through a Machine Learning Hybrid
2024-01-01 Gori, L.; Verosimile, A.; Damiani, A.; Santambrogio, M. D.; Soldan, F.; Bionda, E.; Tornelli, C.
Hokidachi: Low-Latency Random Forest Inference on FPGAs through full Horizontal Parallelism
2026-01-01 Bellocci, Andrea; Verosimile, Alessandro; Santambrogio, Marco D.
IGEA: a Framework for Sleep Tracking via Edge-based Federated Learning on Multimodal Data
2026-01-01 Bardini, Susanna; Verosimile, Alessandro; Vaccarino, Giovanni; Santambrogio, Marco D.
Moyogi: A Memory-Centric Accelerator for Low-Latency Random Forest Inference on Embedded Devices
2025-01-01 Verosimile, Alessandro; Peverelli, Francesco; Santambrogio, Marco D.
Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation
2023-01-01 Basso, P.; Benedetti, A.; Cecere, N.; Maranelli, A.; Marragony, S.; Peri, S.; Riboni, A.; Verosimile, A.; Zanutto, D.; Ferrari Dacrema, M.
SATL: A Spatial Architecture Rapid Prototyping Framework for Irregular Applications Acceleration
2024-01-01 Peverelli, Francesco; Verosimile, Alessandro; Conficconi, Davide; Damiani, Andrea; Santambrogio, Marco D.
Shakan: Training-Inference co-design for Oblique Random Forests on Embedded Devices
2026-01-01 Annechini, A.; Verosimile, A.; Santambrogio, M. D.
Towards a Machine Learning Model for Cognitive Performance Prediction
2025-01-01 Ginestretti, Laura; Lazzari, Jacopo; Verosimile, Alessandro; Bardini, Susanna; Santambrogio, Marco D.
YoseUe: “trimming” Random Forest’s training towards resource-constrained inference
2024-01-01 Verosimile, Alessandro; Tierno, Alessandro; Damiani, Andrea; Santambrogio, Marco D.