Angelo Porrello

According to our database, Angelo Porrello authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification.

Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra

IEEE Trans. Medical Imaging, April, 2024

Selective Attention-based Modulation for Continual Learning.

Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato

CoRR, 2024

Semantic Residual Prompts for Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2024

Self-Labeling the Job Shop Scheduling Problem.

Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico

CoRR, 2024

DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation.

Aniello Panariello, Gianluca Mancusi, Fedy Haj Ali, Angelo Porrello, Simone Calderara, Rita Cucchiara

CoRR, 2024

ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision.

Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Class-Incremental Continual Learning Into the eXtended DER-Verse.

Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks.

Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara

IEEE Trans. Geosci. Remote. Sens., 2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara

CoRR, 2023

DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs.

Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Where Research meets Industry: New Challenges and Opportunities at AImageLab.

Rita Cucchiara, Lorenzo Baraldi, Simone Calderara, Marcella Cornia, Matteo Fabbri, Costantino Grana, Angelo Porrello, Roberto Vezzani

Proceedings of the Italia Intelligenza Artificiale, 2023

Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies.

Marco Bergianti, Nicola Cioffo, Francesco Del Buono, Matteo Paganelli, Angelo Porrello

Proceedings of the Italia Intelligenza Artificiale, 2023

Input Perturbation Reduces Exposure Bias in Diffusion Models.

Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara

Proceedings of the International Conference on Machine Learning, 2023

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach.

Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

TrackFlow: Multi-Object Tracking with Normalizing Flows.

Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Continual semi-supervised learning through contrastive interpolation consistency.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Pattern Recognit. Lett., 2022

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization.

Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Transfer Without Forgetting.

Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

Proceedings of the Computer Vision - ECCV 2022, 2022

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting.

Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Weakly Supervised Continual Learning.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2021

2020

Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model.

Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D'Alterio, Paolo Calistri, Annamaria Conte

Remote. Sens., 2020

Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The color out of space: learning self-supervised representations for Earth Observation imagery.

Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rethinking Experience Replay: a Bag of Tricks for Continual Learning.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Robust Re-Identification by Multiple Views Knowledge Distillation.

Angelo Porrello, Luca Bergamini, Simone Calderara

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs.

Angelo Porrello, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Latent Space Autoregression for Novelty Detection.

Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling.

Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

AND: Autoregressive Novelty Detectors.

Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

CoRR, 2018

Multi-views Embedding for Cattle Re-identification.

Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018