FRACASTORO, GIULIA

FRACASTORO, GIULIA  

Dipartimento di Elettronica e Telecomunicazioni  

034125  

Mostra records
Risultati 1 - 20 di 26 (tempo di esecuzione: 0.032 secondi).
Citazione Data di pubblicazione Autori File
Identification of piecewise constant parameters in nonlinear models / Calafiore, Giuseppe Carlo; Fracastoro, Giulia; Zino, Lorenzo. - In: EUROPEAN JOURNAL OF CONTROL. - ISSN 0947-3580. - 81:(2025), pp. 1-11. [10.1016/j.ejcon.2024.101151] 1-gen-2025 Calafiore, Giuseppe CarloFracastoro, GiuliaZino, Lorenzo EJC___Identification_REV2 (2).pdfEJC_2025.pdf
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow / Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea. - In: IEEE ACCESS. - ISSN 2169-3536. - 12:(2024), pp. 188902-188913. [10.1109/access.2024.3514188] 1-gen-2024 Aira, Luca SavantValsesia, DiegoFracastoro, GiuliaMagli, Enrico + Deep_3D_World_Models_for_Multi-Image_Super-Resolution_Beyond_Optical_Flow.pdf
Optimal Clearing Payments in a Financial Contagion Model / Calafiore, Giuseppe C.; Fracastoro, Giulia; Proskurnikov, Anton V.. - In: SIAM JOURNAL ON FINANCIAL MATHEMATICS. - ISSN 1945-497X. - ELETTRONICO. - 15:2(2024), pp. 473-502. [10.1137/22m150294x] 1-gen-2024 Calafiore, Giuseppe C.Fracastoro, GiuliaProskurnikov, Anton V. 22m150294x.pdfSIFIN_OptClearings.pdf
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks / Fracastoro, Giulia; Fosson, Sophie M.; Migliorati, Andrea; Calafiore, Giuseppe C.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - (2024), pp. 1-11. [10.1109/tnnls.2024.3373609] 1-gen-2024 Fracastoro, GiuliaFosson, Sophie M.Migliorati, AndreaCalafiore, Giuseppe C. paper finale.pdf
Clearing payments in dynamic financial networks / Calafiore, Giuseppe C.; Fracastoro, Giulia; Proskurnikov, Anton V.. - In: AUTOMATICA. - ISSN 0005-1098. - STAMPA. - 158:(2023). [10.1016/j.automatica.2023.111299] 1-gen-2023 Calafiore, Giuseppe C.Fracastoro, GiuliaProskurnikov, Anton V. 1-s2.0-S0005109823004636-main.pdf
Multiclass Sparse Centroids With Application to Fast Time Series Classification / Bradde, T.; Fracastoro, G.; Calafiore, G. C.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - (2023). [10.1109/TNNLS.2021.3124300] 1-gen-2023 Bradde T.Fracastoro G.Calafiore G. C. Multiclass_Sparse_Centroids_With_Application_to_Fast_Time_Series_Classification.pdfMulticlass_Sparse_Centroids.pdf
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - (2023). [10.1109/TNNLS.2021.3118450] 1-gen-2023 Valsesia D.Fracastoro G.Magli E. RAN-GNNs_Breaking_the_Capacity_Limits_of_Graph_Neural_Networks.pdfRandomNN.pdf
Age structure in SIRD models for the COVID-19 pandemic—A case study on Italy data and effects on mortality / Calafiore, GIUSEPPE CARLO; Fracastoro, Giulia. - In: PLOS ONE. - ISSN 1932-6203. - ELETTRONICO. - 17:2(2022), p. e0264324. [10.1371/journal.pone.0264324] 1-gen-2022 Giuseppe Carlo CalafioreGiulia Fracastoro journal.pone.0264324.pdf
Control of Dynamic Financial Networks / Calafiore, Giuseppe C.; Fracastoro, Giulia; Proskurnikov, Anton V.. - In: IEEE CONTROL SYSTEMS LETTERS. - ISSN 2475-1456. - 6:(2022), pp. 3206-3211. [10.1109/LCSYS.2022.3182847] 1-gen-2022 Calafiore, Giuseppe C.Fracastoro, GiuliaProskurnikov, Anton V. DynamicClearingNetworks_CDC_resub.pdfControl_of_Dynamic_Financial_Networks.pdf
COVID-19 Case Data for Italy Stratified by Age Class / Calafiore, GIUSEPPE CARLO; Fracastoro, Giulia. - In: OPEN HEALTH DATA. - ISSN 2054-7102. - ELETTRONICO. - 9:(2022). [10.5334/ohd.34] 1-gen-2022 Giuseppe CalafioreGiulia Fracastoro 34-1-246-1-10-20220426.pdf
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification / Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 19:(2022), pp. 1-5. [10.1109/lgrs.2022.3195259] 1-gen-2022 Antonio MontanaroDiego ValsesiaGiulia FracastoroEnrico Magli Semi-Supervised_Learning_for_Joint_SAR_and_Multispectral_Land_Cover_Classification.pdfSelf_supervised_multispectral_segmentation.pdf
Sparse ℓ₁- and ℓ₂-Center Classifiers / Calafiore, G. C.; Fracastoro, G.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - 33:3(2022), pp. 996-1009. [10.1109/TNNLS.2020.3036838] 1-gen-2022 Calafiore G. C.Fracastoro G. FINAL_VERSION.pdfSparse_1-_and_2-Center_Classifiers.pdf
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks / Molini, A. B.; Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 60:(2022), pp. 1-17. [10.1109/TGRS.2021.3065461] 1-gen-2022 Valsesia D.Fracastoro G.Magli E. + SAR_Despeckling(1).pdfValsesia-Speckle2Void.pdf
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives / Fracastoro, G.; Magli, E.; Poggi, G.; Scarpa, G.; Valsesia, D.; Verdoliva, L.. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - ELETTRONICO. - 9:2(2021), pp. 29-51. [10.1109/MGRS.2021.3070956] 1-gen-2021 Fracastoro G.Magli E.Valsesia D. + Deep_Learning_Methods_For_Synthetic_Aperture_Radar_Image_Despeckling_An_Overview_Of_Trends_And_Perspectives.pdfmain.pdf
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON MULTIMEDIA. - ISSN 1520-9210. - 23:(2021), pp. 402-414. [10.1109/TMM.2020.2976627] 1-gen-2021 Valsesia D.Fracastoro G.Magli E. PointCloud_GAN.pdf09016091.pdf
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising / Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.. - In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. - ISSN 1932-4553. - 15:2(2021), pp. 402-414. [10.1109/JSTSP.2020.3047471] 1-gen-2021 Pistilli F.Fracastoro G.Valsesia D.Magli E. main.pdf09309029.pdf
Deep Graph-Convolutional Image Denoising / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON IMAGE PROCESSING. - ISSN 1057-7149. - 29:(2020), pp. 8226-8237. [10.1109/TIP.2020.3013166] 1-gen-2020 Valsesia D.Fracastoro G.Magli E. GraphCNN_denoising(1).pdfValsesia-DeepGraph.pdf
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images / Bordone Molini, A.; Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 58:5(2020), pp. 3644-3656. [10.1109/TGRS.2019.2959248] 1-gen-2020 Bordone Molini A.Valsesia D.Fracastoro G.Magli E. main_R1.pdfValsesia-DeepSUM.pdf
Graph Transform Optimization with Application to Image Compression / Fracastoro, Giulia; Thanou, Dorina; Frossard, Pascal. - In: IEEE TRANSACTIONS ON IMAGE PROCESSING. - ISSN 1057-7149. - 29:(2020), pp. 419-432. [10.1109/TIP.2019.2932853] 1-gen-2020 Fracastoro, Giulia + final_tip_r4.pdf08792389.pdf
Sampling of graph signals via randomized local aggregations / Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS. - ISSN 2373-776X. - 5:2(2019), pp. 348-359. [10.1109/TSIPN.2018.2869354] 1-gen-2019 Valsesia, DiegoFracastoro, GiuliaMagli, Enrico main.pdfValsesia-Sampling.pdf