BONTEMPO, GIANPAOLO
BONTEMPO, GIANPAOLO
Dipartimento di Ingegneria "Enzo Ferrari"
A Graph-Based Multi-Scale Approach with Knowledge Distillation for WSI Classification
2024 Bontempo, Gianpaolo; Bolelli, Federico; Porrello, Angelo; Calderara, Simone; Ficarra, Elisa
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach
2023 Bontempo, G.; Lumetti, L.; Porrello, A.; Bolelli, F.; Calderara, S.; Ficarra, E.
Catastrophic Forgetting in Continual Concept Bottleneck Models
2022 Marconato, E.; Bontempo, G.; Teso, S.; Ficarra, E.; Calderara, S.; Passerini, A.
DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs
2023 Bontempo, Gianpaolo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa
Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach
2023 Bontempo, Gianpaolo; Bartolini, Nicola; Lovino, Marta; Bolelli, Federico; Virtanen, Anni; Ficarra, Elisa
FusionFlow: an integrated system workflow for gene fusion detection in genomic samples
2022 Citarrella, Francesca; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
2023 Marconato, Emanuele; Bontempo, Gianpaolo; Ficarra, Elisa; Calderara, Simone; Passerini, Andrea; Teso, Stefano
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
2023 Marconato, E.; Bontempo, G.; Ficarra, E.; Calderara, S.; Passerini, A.; Teso, S.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Graph-Based Multi-Scale Approach with Knowledge Distillation for WSI Classification | 1-gen-2024 | Bontempo, Gianpaolo; Bolelli, Federico; Porrello, Angelo; Calderara, Simone; Ficarra, Elisa | |
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. | |
Catastrophic Forgetting in Continual Concept Bottleneck Models | 1-gen-2022 | Marconato, E.; Bontempo, G.; Teso, S.; Ficarra, E.; Calderara, S.; Passerini, A. | |
DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs | 1-gen-2023 | Bontempo, Gianpaolo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa | |
Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach | 1-gen-2023 | Bontempo, Gianpaolo; Bartolini, Nicola; Lovino, Marta; Bolelli, Federico; Virtanen, Anni; Ficarra, Elisa | |
FusionFlow: an integrated system workflow for gene fusion detection in genomic samples | 1-gen-2022 | Citarrella, Francesca; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa | |
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models | 1-gen-2020 | Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa | |
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal | 1-gen-2023 | Marconato, Emanuele; Bontempo, Gianpaolo; Ficarra, Elisa; Calderara, Simone; Passerini, Andrea; Teso, Stefano | |
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. |