BONTEMPO, GIANPAOLO Statistiche
BONTEMPO, GIANPAOLO
DIPARTIMENTO DI INFORMATICA
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
2024-01-01 Bontempo, G.; Bolelli, F.; Porrello, A.; Calderara, S.; Ficarra, E.
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach
2023-01-01 Bontempo, G.; Lumetti, L.; Porrello, A.; Bolelli, F.; Calderara, S.; Ficarra, E.
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
2023-01-01 Bontempo, G.; Porrello, A.; Bolelli, F.; Calderara, S.; Ficarra, E.
Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach
2023-01-01 Bontempo, G.; Bartolini, N.; Lovino, M.; Bolelli, F.; Virtanen, A.; Ficarra, E.
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
2023-01-01 Marconato, E.; Bontempo, G.; Ficarra, E.; Calderara, S.; Passerini, A.; Teso, S.
Catastrophic Forgetting in Continual Concept Bottleneck Models
2022-01-01 Marconato, E.; Bontempo, G.; Teso, S.; Ficarra, E.; Calderara, S.; Passerini, A.
FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples
2022-01-01 Citarrella, Federica; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models
2020-01-01 Lovino, M.; Bontempo, G.; Cirrincione, G.; Ficarra, E.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification | 1-gen-2024 | Bontempo, G.; Bolelli, F.; Porrello, A.; Calderara, S.; Ficarra, E. | |
| Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach | 1-gen-2023 | Bontempo, G.; Lumetti, L.; Porrello, A.; Bolelli, F.; Calderara, S.; Ficarra, E. | |
| DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs | 1-gen-2023 | Bontempo, G.; Porrello, A.; Bolelli, F.; Calderara, S.; Ficarra, E. | |
| Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach | 1-gen-2023 | Bontempo, G.; Bartolini, N.; Lovino, M.; Bolelli, F.; Virtanen, A.; Ficarra, E. | |
| Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal | 1-gen-2023 | Marconato, E.; Bontempo, G.; Ficarra, E.; Calderara, S.; Passerini, A.; Teso, S. | |
| Catastrophic Forgetting in Continual Concept Bottleneck Models | 1-gen-2022 | Marconato, E.; Bontempo, G.; Teso, S.; Ficarra, E.; Calderara, S.; Passerini, A. | |
| FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples | 1-gen-2022 | Citarrella, Federica; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa | |
| Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models | 1-gen-2020 | Lovino, M.; Bontempo, G.; Cirrincione, G.; Ficarra, E. |