Simone Calderara

About Simone Calderara

Simone Calderara, With an exceptional h-index of 40 and a recent h-index of 29 (since 2020), a distinguished researcher at Università degli Studi di Modena e Reggio Emilia, specializes in the field of Machine learning, tracking, Image processing, pattern recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semantic Residual Prompts for Continual Learning

Self-Labeling the Job Shop Scheduling Problem

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

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

Selective Attention-based Modulation for Continual Learning

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

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels

Input perturbation reduces exposure bias in diffusion models

Simone Calderara Information

University

Position

___

Citations(all)

7008

Citations(since 2020)

4664

Cited By

3723

hIndex(all)

40

hIndex(since 2020)

29

i10Index(all)

80

i10Index(since 2020)

61

Email

University Profile Page

Università degli Studi di Modena e Reggio Emilia

Google Scholar

View Google Scholar Profile

Simone Calderara Skills & Research Interests

Machine learning

tracking

Image processing

pattern recognition

Top articles of Simone Calderara

Title

Journal

Author(s)

Publication Date

Semantic Residual Prompts for Continual Learning

arXiv preprint arXiv:2403.06870

Martin Menabue

Emanuele Frascaroli

Matteo Boschini

Enver Sangineto

Lorenzo Bonicelli

...

2024/3/11

Self-Labeling the Job Shop Scheduling Problem

arXiv preprint arXiv:2401.11849

Andrea Corsini

Angelo Porrello

Simone Calderara

Mauro Dell'Amico

2024/1/22

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

arXiv preprint arXiv:2401.03191

Aniello Panariello

Gianluca Mancusi

Fedy Haj Ali

Angelo Porrello

Simone Calderara

...

2024/1/6

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

Giacomo Capitani

Federico Bolelli

Angelo Porrello

Simone Calderara

Elisa Ficarra

2024

Selective Attention-based Modulation for Continual Learning

arXiv preprint arXiv:2403.20086

Giovanni Bellitto

Federica Proietto Salanitri

Matteo Pennisi

Matteo Boschini

Angelo Porrello

...

2024/3/29

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

IEEE Transactions on Geoscience and Remote Sensing

Lorenzo Bonicelli

Angelo Porrello

Stefano Vincenzi

Carla Ippoliti

Federica Iapaolo

...

2023/7/7

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels

Monica Millunzi

Lorenzo Bonicelli

Angelo Porrello

Jacopo Credi

Petter N Kolm

...

2023/10/13

Input perturbation reduces exposure bias in diffusion models

arXiv preprint arXiv:2301.11706

Mang Ning

Enver Sangineto

Angelo Porrello

Simone Calderara

Rita Cucchiara

2023/1/27

DAS-MIL: Distilling Across Scales for MIL classification of histological WSIs

Gianpaolo Bontempo

Angelo Porrello

Federico Bolelli

Simone Calderara

Elisa Ficarra

2023/10/1

Method for evaluating a health state of an anatomical element, related evaluation device and related evaluation system

2023/6/13

Latent Spectral Regularization for Continual Learning

arXiv preprint arXiv:2301.03345

Emanuele Frascaroli

Riccardo Benaglia

Matteo Boschini

Luca Moschella

Cosimo Fiorini

...

2023/1/9

R07. 3 Forecasting West Nile Virus Circulation through Sentinel and Landsat Imagery and Graph Neural Networks

GeoVet 2023 International Conference

Angelo Porrello

Carla Ippoliti

Lorenzo Bonicelli

Federica Iapaolo

Daniela Morelli

...

2023/9/13

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning

arXiv preprint arXiv:2305.03648

Lorenzo Bonicelli

Matteo Boschini

Emanuele Frascaroli

Angelo Porrello

Matteo Pennisi

...

2023/5/5

TrackFlow: Multi-Object Tracking with Normalizing Flows

Gianluca Mancusi

Aniello Panariello

Angelo Porrello

Matteo Fabbri

Simone Calderara

...

2023

Buffer-MIL: Robust Multi-instance Learning with a Buffer-based Approach

Gianpaolo Bontempo

Luca Lumetti

Angelo Porrello

Federico Bolelli

Simone Calderara

...

2023/9/5

Generative system for the creation of digital images for printing on design surfaces

2023/2/16

Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability

Social Development

Veronica Margherita Cocco

Elisa Bisagno

Gian Antonio Di Bernardo

Nicola Bicocchi

Simone Calderara

...

2023/8

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

IEEE Transactions on Medical Imaging

Gianpaolo Bontempo

Federico Bolelli

Angelo Porrello

Simone Calderara

Elisa Ficarra

2023/11/28

Neuro-symbolic continual learning: Knowledge, reasoning shortcuts and concept rehearsal

arXiv preprint arXiv:2302.01242

Emanuele Marconato

Gianpaolo Bontempo

Elisa Ficarra

Simone Calderara

Andrea Passerini

...

2023/2/2

Effects of auxiliary knowledge on continual learning

Giovanni Bellitto

Matteo Pennisi

Simone Palazzo

Lorenzo Bonicelli

Matteo Boschini

...

2022/8/21

See List of Professors in Simone Calderara University(Università degli Studi di Modena e Reggio Emilia)

Co-Authors

H-index: 132
Mubarak Shah

Mubarak Shah

University of Central Florida

H-index: 71
Arnold Smeulders

Arnold Smeulders

Universiteit van Amsterdam

H-index: 65
Rita Cucchiara

Rita Cucchiara

Università degli Studi di Modena e Reggio Emilia

H-index: 44
Andrea Prati

Andrea Prati

Università degli Studi di Parma

H-index: 38
Costantino Grana

Costantino Grana

Università degli Studi di Modena e Reggio Emilia

H-index: 36
Roberto Vezzani

Roberto Vezzani

Università degli Studi di Modena e Reggio Emilia

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