Giulia Fracastoro

About Giulia Fracastoro

Giulia Fracastoro, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Politecnico di Torino,

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

Default Resilience and Worst-Case Effects in Financial Networks

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow

Clearing payments in dynamic financial networks

Learning Epipolar Feature Fields for Multi-Image Super-Resolution

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning

Semi-supervised learning for joint SAR and multispectral land cover classification

Control of dynamic financial networks

Giulia Fracastoro Information

University

Position

___

Citations(all)

1257

Citations(since 2020)

1120

Cited By

420

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Top articles of Giulia Fracastoro

Default Resilience and Worst-Case Effects in Financial Networks

arXiv preprint arXiv:2403.10631

2024/3/15

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

IEEE Transactions on Neural Networks and Learning Systems

2024/3/13

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Andrea Migliorati
Andrea Migliorati

H-Index: 1

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow

arXiv preprint arXiv:2401.16972

2024/1/30

Clearing payments in dynamic financial networks

Automatica

2023/12/1

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Learning Epipolar Feature Fields for Multi-Image Super-Resolution

2023/10/13

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning

2023/6/4

Semi-supervised learning for joint SAR and multispectral land cover classification

IEEE Geoscience and Remote Sensing Letters

2022/8/1

Control of dynamic financial networks

IEEE Control Systems Letters

2022/6/14

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Signal compression via neural implicit representations

2022/5/23

Age structure in SIRD models for the COVID-19 pandemic—A case study on Italy data and effects on mortality

Plos one

2022/2/24

Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore

H-Index: 26

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

On optimal clearing payments in financial networks

2021/12/14

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Multiclass sparse centroids with application to fast time series classification

IEEE Transactions on Neural Networks and Learning Systems

2021/11/12

Tommaso Bradde
Tommaso Bradde

H-Index: 4

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

RAN-GNNs: breaking the capacity limits of graph neural networks

IEEE Transactions on Neural Networks and Learning Systems

2021/10/15

Techniques for encoding and decoding digital data using graph-based transformations

2021/9/14

Graph Neural Networks

Graph Spectral Image Processing

2021/8/5

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Diego Valsesia
Diego Valsesia

H-Index: 13

Graph Neural Networks for Image Processing

Graph Spectral Image Processing

2021/8/5

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Diego Valsesia
Diego Valsesia

H-Index: 13

Age class structure in SIRD models for the COVID-19–An analysis of Tennessee data

2021/6/22

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

Apparatuses and methods for encoding and decoding images

2021/5/18

Deep learning methods for synthetic aperture radar image despeckling: An overview of trends and perspectives

IEEE Geoscience and Remote Sensing Magazine

2021/6

COVID-19 case data for Italy stratified by age class

arXiv preprint arXiv:2104.06199

2021/4/13

Giulia Fracastoro
Giulia Fracastoro

H-Index: 12

See List of Professors in Giulia Fracastoro University(Politecnico di Torino)

Co-Authors

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