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FRACASTORO, GIULIA

FRACASTORO, GIULIA  

Dipartimento di Elettronica e Telecomunicazioni  

034125  

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Risultati 1 - 20 di 54 (tempo di esecuzione: 0.026 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).pdf; EJC_2025.pdf
ConQ: Binary Quantization of Neural Networks via Concave Regularization / Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico. - (2024), pp. 1-6. (Intervento presentato al convegno 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 tenutosi a London (UK) nel 22-25 September 2024) [10.1109/mlsp58920.2024.10734837]. 1-gen-2024 Migliorati, AndreaFracastoro, GiuliaFosson, SophieBianchi, TizianoMagli, Enrico conq_camera_ready_OA.pdf; ConQ_Binary_Quantization_of_Neural_Networks_via_Concave_Regularization.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.pdf; SIFIN_OptClearings.pdf
Sparsification of Deep Neural Networks via Ternary Quantization / Dordoni, Luca; Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico. - (2024), pp. 1-6. (Intervento presentato al convegno 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 tenutosi a London (UK) nel 2024) [10.1109/mlsp58920.2024.10734714]. 1-gen-2024 Dordoni, LucaMigliorati, AndreaFracastoro, GiuliaFosson, SophieBianchi, TizianoMagli, Enrico Sparsification of Deep Neural Networks via Ternary Quantization_OA.pdf; Sparsification_of_Deep_Neural_Networks_via_Ternary_Quantization.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
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning / Cilia, Martina; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Rhodes Island, Greece nel 04-10 June 2023) [10.1109/ICASSP49357.2023.10096252]. 1-gen-2023 Cilia, MartinaValsesia, DiegoFracastoro, GiuliaMagli, Enrico cilia_icassp.pdf; cilia_icassp_auhor.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
Clearing Payments in Dynamic Financial Networks / Calafiore, Giuseppe; Fracastoro, Giulia; Proskurnikov, Anton V.. - ELETTRONICO. - (2022), pp. 1123-1128. (Intervento presentato al convegno 2022 IEEE Conference on Control Technology and Applications (CCTA) tenutosi a Trieste nel 23-25 August 2022) [10.1109/CCTA49430.2022.9966044]. 1-gen-2022 Calafiore, GiuseppeFracastoro, GiuliaProskurnikov, Anton V. Clearing_Payments_in_Dynamic_Financial_Networks.pdf; DynamicClearingNetworks_CCTA_new.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.pdf; Control_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
Point cloud attribute compression with neural implicit representations / Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.. - ELETTRONICO. - (2022), pp. 1-5. (Intervento presentato al convegno 2022 ESA International Workshop on On-Board Data Compression). 1-gen-2022 Pistilli F.Valsesia D.Fracastoro G.Magli E. -
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.pdf; Self_supervised_multispectral_segmentation.pdf
Signal Compression via Neural Implicit Representations / Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.. - ELETTRONICO. - May:(2022), pp. 3733-3737. (Intervento presentato al convegno IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Singapore, Singapore nel 23-27 May 2022) [10.1109/ICASSP43922.2022.9747208]. 1-gen-2022 Pistilli F.Valsesia D.Fracastoro G.Magli E. pistilli_icassp22.pdf; Valsesia-Signal.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.pdf; Sparse_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).pdf; Valsesia-Speckle2Void.pdf
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data / Calafiore, G. C.; Fracastoro, G.. - ELETTRONICO. - (2021), pp. 675-680. (Intervento presentato al convegno 29th Mediterranean Conference on Control and Automation, MED 2021 tenutosi a Puglia, Italy nel 22-25 June 2021) [10.1109/MED51440.2021.9480314]. 1-gen-2021 Calafiore G. C.Fracastoro G. Age_class_structure_in_SIRD_models_for_the_COVID-19__An_analysis_of_Tennessee_data.pdf; mainMED21.pdf
COVID-19 case data for Italy stratified by age class / Calafiore, GIUSEPPE CARLO; Fracastoro, Giulia. - ELETTRONICO. - (2021), pp. 1-6. 1-gen-2021 giuseppe calafioregiulia fracastoro covid_19_Italy.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.pdf; main.pdf
Denoise and Contrast for Category Agnostic Shape Completion / Alliegro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico; Tommasi, Tatiana. - (2021), pp. 4627-4636. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition (CVPR) nel 20-25 June 2021) [10.1109/CVPR46437.2021.00460]. 1-gen-2021 Antonio AlliegroDiego ValsesiaGiulia FracastoroEnrico MagliTatiana Tommasi deco_cvpr2021.pdf; Denoise_and_Contrast_for_Category_Agnostic_Shape_Completion.pdf