PORRELLO, ANGELO

PORRELLO, ANGELO  

Dipartimento di Ingegneria "Enzo Ferrari"  

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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
A Second-Order Perspective on Model Compositionality and Incremental Learning 1-gen-2025 Porrello, Angelo; Bonicelli, Lorenzo; Buzzega, Pietro; Millunzi, Monica; Calderara, Simone; Cucchiara, Rita
Accurate and Efficient Low-Rank Model Merging in Core Space 1-gen-2025 Panariello, Aniello; Marczak, Daniel; Magistri, Simone; Porrello, Angelo; Twardowski, Bartłomiej; D Bagdanov, Andrew; Calderara, Simone; Van De Weijer, Joost
An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning 1-gen-2025 Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies 1-gen-2023 Bergianti, M.; Cioffo, N.; Del Buono, F.; Paganelli, M.; Porrello, A.
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.
Class-Incremental Continual Learning into the eXtended DER-verse 1-gen-2023 Boschini, Matteo; Bonicelli, Lorenzo; Buzzega, Pietro; Porrello, Angelo; Calderara, Simone
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling 1-gen-2019 Porrello, Angelo; Abati, Davide; Calderara, Simone; Cucchiara, Rita
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning 1-gen-2024 Frascaroli, Emanuele; Panariello, Aniello; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision 1-gen-2024 Capitani, Giacomo; Bolelli, Federico; Porrello, Angelo; Calderara, Simone; Ficarra, Elisa
Consistency-Based Self-supervised Learning for Temporal Anomaly Localization 1-gen-2023 Panariello, A.; Porrello, A.; Calderara, S.; Cucchiara, R.
Context-guided Prompt Learning for Continual WSI Classification 1-gen-2025 Corso, Giulia; Miccolis, Francesca; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa
Continual semi-supervised learning through contrastive interpolation consistency 1-gen-2022 Boschini, Matteo; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Dark Experience for General Continual Learning: a Strong, Simple Baseline 1-gen-2020 Buzzega, Pietro; Boschini, Matteo; Porrello, Angelo; Abati, Davide; Calderara, Simone
DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs 1-gen-2023 Bontempo, Gianpaolo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection 1-gen-2025 Cappellino, Chiara; Mancusi, Gianluca; Mosconi, Matteo; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting 1-gen-2022 Monti, A.; Porrello, A.; Calderara, S.; Coscia, P.; Ballan, L.; Cucchiara, R.
How to Train Your Metamorphic Deep Neural Network 1-gen-2025 Sommariva, Thomas; Calderara, Simone; Porrello, Angelo
Input Perturbation Reduces Exposure Bias in Diffusion Models 1-gen-2023 Ning, M.; Sangineto, E.; Porrello, A.; Calderara, S.; Cucchiara, R.
Is Multiple Object Tracking a Matter of Specialization? 1-gen-2024 Mancusi, Gianluca; Bernardi, Mattia; Panariello, Aniello; Porrello, Angelo; Cucchiara, Rita; Calderara, Simone