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ORCIDGiulia Fracastoro
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2020 – today
- 2024
[j18]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
:
Optimal Clearing Payments in a Financial Contagion Model. SIAM J. Financial Math. 15(2): 473-502 (2024)- [i22]Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile:
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. CoRR abs/2401.16972 (2024) - [i21]Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Default Resilience and Worst-Case Effects in Financial Networks. CoRR abs/2403.10631 (2024) - 2023
- [j17]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Clearing payments in dynamic financial networks. Autom. 158: 111299 (2023) - [j16]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4610-4619 (2023) - [j15]Tommaso Bradde, Giulia Fracastoro, Giuseppe Carlo Calafiore:
Multiclass Sparse Centroids With Application to Fast Time Series Classification. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5206-5211 (2023) - [c20]Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP 2023: 1-5 - 2022
- [j14]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Control of Dynamic Financial Networks. IEEE Control. Syst. Lett. 6: 3206-3211 (2022) - [j13]Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j11]Giuseppe Carlo Calafiore, Giulia Fracastoro:
Sparse ℓ1- and ℓ2-Center Classifiers. IEEE Trans. Neural Networks Learn. Syst. 33(3): 996-1009 (2022) - [c19]Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Clearing Payments in Dynamic Financial Networks. CCTA 2022: 1123-1128 - [c18]Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Signal Compression via Neural Implicit Representations. ICASSP 2022: 3733-3737 - [i20]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
ClearingPayments in Dynamic Financial Networks. CoRR abs/2201.12898 (2022) - [i19]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Control of Dynamic Financial Networks (The Extended Version). CoRR abs/2205.08879 (2022) - 2021
- [j10]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. IEEE J. Sel. Top. Signal Process. 15(2): 402-414 (2021) - [j9]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. 23: 402-414 (2021) - [c17]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
On Optimal Clearing Payments in Financial Networks. CDC 2021: 4804-4810 - [c16]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CVPR 2021: 4629-4638 - [c15]Giuseppe Carlo Calafiore, Giulia Fracastoro:
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data. MED 2021: 675-680 - [i18]Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
Optimal Clearing Payments in a Financial Contagion Model. CoRR abs/2103.10872 (2021) - [i17]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR abs/2103.15565 (2021) - [i16]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CoRR abs/2103.16671 (2021) - [i15]Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Self-supervised learning for joint SAR and multispectral land cover classification. CoRR abs/2108.09075 (2021) - 2020
- [j8]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 58(5): 3644-3656 (2020) - [j7]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. 29: 419-432 (2020) - [j6]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. 29: 8226-8237 (2020) - [c14]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) 2020: 103-118 - [c13]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops 2020: 1-6 - [c12]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IGARSS 2020: 609-612 - [c11]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS 2020: 2507-2510 - [c10]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
NIR image colorization with graph-convolutional neural networks. VCIP 2020: 451-454 - [i14]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR abs/2001.05264 (2020) - [i13]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR abs/2001.06342 (2020) - [i12]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR abs/2007.02075 (2020) - [i11]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR abs/2007.02578 (2020) - [i10]Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva:
Deep learning methods for SAR image despeckling: trends and perspectives. CoRR abs/2012.05508 (2020)
2010 – 2019
- 2019
- [j5]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Sampling of Graph Signals via Randomized Local Aggregations. IEEE Trans. Signal Inf. Process. over Networks 5(2): 348-359 (2019) - [c9]Maurizio Masera, Giulia Fracastoro, Maurizio Martina, Enrico Magli:
A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression. ICASSP 2019: 1812-1816 - [c8]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Image Denoising with Graph-Convolutional Neural Networks. ICIP 2019: 2399-2403 - [c7]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) 2019 - [c6]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. WHISPERS 2019: 1-5 - [i9]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Image Denoising with Graph-Convolutional Neural Networks. CoRR abs/1905.12281 (2019) - [i8]Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR abs/1907.06490 (2019) - [i7]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Deep Graph-Convolutional Image Denoising. CoRR abs/1907.08448 (2019) - [i6]Giuseppe Carlo Calafiore, Giulia Fracastoro:
Sparse 𝓁1 and 𝓁2 Center Classifiers. CoRR abs/1911.07320 (2019) - [i5]Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie:
Survival and Neural Models for Private Equity Exit Prediction. CoRR abs/1911.08201 (2019) - 2018
- [i4]Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Sampling of graph signals via randomized local aggregations. CoRR abs/1804.06182 (2018) - 2017
- [b1]Giulia Fracastoro:
Design and Optimization of Graph Transform for Image and Video Compression. Polytechnic University of Turin, Italy, 2017 - [j4]Giulia Fracastoro, Enrico Magli:
Steerable Discrete Fourier Transform. IEEE Signal Process. Lett. 24(3): 319-323 (2017) - [j3]Giulia Fracastoro, Sophie M. Fosson, Enrico Magli:
Steerable Discrete Cosine Transform. IEEE Trans. Image Process. 26(1): 303-314 (2017) - [i3]Giulia Fracastoro, Enrico Magli:
Steerable Discrete Fourier Transform. CoRR abs/1703.05022 (2017) - [i2]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph-based Transform Coding with Application to Image Compression. CoRR abs/1712.06393 (2017) - 2016
- [c5]Giulia Fracastoro, Enrico Magli:
Subspace-sparsifying steerable discrete cosine transform from graph fourier transform. ICIP 2016: 1534-1538 - [c4]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph transform learning for image compression. PCS 2016: 1-5 - [i1]Giulia Fracastoro, Sophie Marie Fosson, Enrico Magli:
Steearable Discrete Cosine Transform. CoRR abs/1610.09152 (2016) - 2015
- [j2]Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro:
Corrigendum to "3D face recognition: An automatic strategy based on geometrical descriptors and landmarks" [Robot. Auton. Syst. 62(12) (2014) 1768-1776]. Robotics Auton. Syst. 64: 142 (2015) - [c3]Giulia Fracastoro, Enrico Magli:
Predictive graph construction for image compression. ICIP 2015: 2204-2208 - [c2]Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli:
Superpixel-driven graph transform for image compression. ICIP 2015: 2631-2635 - [c1]Giulia Fracastoro, Enrico Magli:
Steerable Discrete Cosine Transform. MMSP 2015: 1-6 - 2014
- [j1]Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro:
3D face recognition: An automatic strategy based on geometrical descriptors and landmarks. Robotics Auton. Syst. 62(12): 1768-1776 (2014)
Coauthor Index
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last updated on 2024-06-19 21:03 CEST by the dblp team
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