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Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - 18:(2025), pp. 828-838. [10.1109/jstars.2024.3502776] 1-gen-2025 Inzerillo, GabrieleValsesia, DiegoMagli, Enrico Efficient_Onboard_Multitask_AI_Architecture_Based_on_Self-Supervised_Learning.pdf
A new architecture for onboard change detection based on deep learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello. - ELETTRONICO. - (2024). (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression tenutosi a Las Palmas De Gran Canaria (Esp) nel 2-4 October 2024). 1-gen-2024 Gabriele InzerilloDiego ValsesiaEnrico Magli + magli_OBPDC_change_detection.pdf
Deep Learning Methods for Satellite Image Super-Resolution / Valsesia, Diego; Magli, Enrico - In: Signal and image processing for remote sensingSTAMPA. - [s.l] : Taylor and Francis, 2024. - ISBN 9781003382010. - pp. 228-238 [10.1201/9781003382010-15] 1-gen-2024 Valsesia, DiegoMagli, Enrico 9781032437415_C012.pdf
Multitask AI for onboard intelligence in Earth observation missions / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 Small Satellites Systems and Services Symposium tenutosi a Palma de Mallorca (Esp) nel 27-31 May 2024). 1-gen-2024 Gabriele InzerilloDiego ValsesiaEnrico Magli 45_Valsesia-Diego_Paper.pdf
Onboard hyperspectral image compression with deep line-based predictove architectures / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024). (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression tenutosi a Las Palmas De Gran Canaria (Esp) nel 2-4 October 2024). 1-gen-2024 Diego ValsesiaTiziano BianchiEnrico Magli magli_obpdc_compression.pdf
A multi-service edge-AI architecture based on self-supervised learning / Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, M.; Inzerillo, G.; Lisi, D.; Mascetti, G.; Mergè, M.; Monaco, C.; Pasturensi, M.; Piccinini, D.; Valsesia, D.; Zema, G.. - ELETTRONICO. - (2024), pp. 1-9. (Intervento presentato al convegno 75th International Astronautical Congress tenutosi a Milan (Ita) nel 14-18 October 2024). 1-gen-2024 Magli EAngarano S.Bianchi T.Boccardo P.Bucci S.Chiaberge M.Inzerillo G.Piccinini D.Valsesia D. + IAC-24,B1,4,2,x87460.pdf
Gaussian Class-Conditional Training for Secure and Robust Deep Neural Networks / Bianchi, Tiziano; Migliorati, Andrea; Magli, Enrico (CNIT TECHNICAL REPORT ..). - In: Signal Processing and Learning for Next Generation Multimedia / Bernardini R., Marcenaro L., Rinaldo R., Zanuttigh P.. - STAMPA. - [s.l] : Texmat, 2024. - ISBN 9788894982800. - pp. 55-77 [10.57620/CNIT-Report_13] 1-gen-2024 Tiziano BianchiAndrea MiglioratiEnrico Magli ch3.pdf
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution / Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 65024-65031. [10.1109/ACCESS.2024.3396990] 1-gen-2024 Aiello E.Agarla M.Valsesia D.Bianchi T.Magli E. + Synthetic_Data_Pretraining_for_Hyperspectral_Image_Super-Resolution.pdf
Fast Inference in Denoising Diffusion Models via MMD Finetuning / Aiello, Emanuele; Valsesia, Diego; Magli, Enrico. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 106912-106923. [10.1109/access.2024.3436698] 1-gen-2024 Aiello, EmanueleValsesia, DiegoMagli, Enrico Fast_Inference_in_Denoising_Diffusion_Models_via_MMD_Finetuning.pdf
Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 62:(2024). [10.1109/tgrs.2024.3465043] 1-gen-2024 Valsesia, DiegoBianchi, TizianoMagli, Enrico main.pdf; Onboard_Deep_Lossless_and_Near-Lossless_Predictive_Coding_of_Hyperspectral_Images_With_Line-Based_Attention-2.pdf
Deep learning based prediction of traffic peaks in mobile networks / Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - STAMPA. - 240:(2024). [10.1016/j.comnet.2023.110167] 1-gen-2024 Li, ShuyangMagli, Enrico + Elsevier Deep learning based prediction of traffic peaks in mobile networks.pdf; manuscript_Elsevier_CN.pdf
Cancelable templates for secure face verification based on deep learning and random projections / Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico. - In: EURASIP JOURNAL ON INFORMATION SECURITY. - ISSN 2510-523X. - ELETTRONICO. - 1(2024), pp. 1-18. [10.1186/s13635-023-00147-y] 1-gen-2024 Ali, ArslanMigliorati, AndreaBianchi, TizianoMagli, Enrico s13635-023-00147-y.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
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution / Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024), pp. 1099-1102. (Intervento presentato al convegno IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Athens (Greece) nel 07-12 July 2024) [10.1109/igarss53475.2024.10641268]. 1-gen-2024 Impieri, MatteoValsesia, DiegoBianchi, TizianoMagli, Enrico Degradation-Aware_Self-Supervised_Multi-Temporal_Super-Resolution.pdf; Unsupervised_MISR_IGARSS24.pdf
Metis Observation of the Onset of Fully Developed Turbulence in the Solar Corona / Telloni, Daniele; Sorriso-Valvo, Luca; Zank, Gary P.; Velli, Marco; Andretta, Vincenzo; Perrone, Denise; Marino, Raffaele; Carbone, Francesco; Vecchio, Antonio; Adhikari, Laxman; Zhao, Lingling; Guastavino, Sabrina; Camattari, Fabiana; Shi, Chen; Sioulas, Nikos; Huang, Zesen; Romoli, Marco; Antonucci, Ester; Da Deppo, Vania; Fineschi, Silvano; Grimani, Catia; Heinzel, Petr; Moses, John D.; Naletto, Giampiero; Nicolini, Gianalfredo; Spadaro, Daniele; Stangalini, Marco; Teriaca, Luca; Uslenghi, Michela; Abbo, Lucia; Auchère, Frédéric; Cuadrado, Regina Aznar; Berlicki, Arkadiusz; Bruno, Roberto; Burtovoi, Aleksandr; Capobianco, Gerardo; Casini, Chiara; Casti, Marta; Chioetto, Paolo; Corso, Alain J.; D'Amicis, Raffaella; De Leo, Yara; Fabi, Michele; Frassati, Federica; Frassetto, Fabio; Giordano, Silvio; Guglielmino, Salvo L.; Jerse, Giovanna; Landini, Federico; Liberatore, Alessandro; Magli, Enrico; Massone, Giuseppe; Nisticò, Giuseppe; Pancrazzi, Maurizio; Pelizzo, Maria G.; Peter, Hardi; Plainaki, Christina; Poletto, Luca; Reale, Fabio; Romano, Paolo; Russano, Giuliana; Sasso, Clementina; Schühle, Udo; Solanki, Sami K.; Strachan, Leonard; Straus, Thomas; Susino, Roberto; Ventura, Rita; Volpicelli, Cosimo A.; Woch, Joachim; Zangrilli, Luca; Zimbardo, Gaetano; Zuppella, Paola. - In: THE ASTROPHYSICAL JOURNAL LETTERS. - ISSN 2041-8205. - STAMPA. - 973:2(2024), pp. 1-9. [10.3847/2041-8213/ad5a8c] 1-gen-2024 Magli, Enrico + Telloni_2024_ApJL_973_L48.pdf
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor / Li, S.; Magli, E.; Francini, G.. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE Wireless Communications and Networking Conference tenutosi a Dubai (UAE) nel 21-24 April 2024) [10.1109/WCNC57260.2024.10570577]. 1-gen-2024 Li S.Magli E. + Exploring_Time_Series_Variability_A_Training-Efficient_Mobile_Traffic_Predictor.pdf; GLOBECOM_2023 2.pdf
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024), pp. 7898-7902. (Intervento presentato al convegno IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Athens (Greece) nel 07-12 July 2024) [10.1109/igarss53475.2024.10641584]. 1-gen-2024 Valsesia, DiegoBianchi, TizianoMagli, Enrico RKWV_predictive_compression-7.pdf; Hybrid_Recurrent-Attentive_Neural_Network_for_Onboard_Predictive_Hyperspectral_Image_Compression.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
Ternary Neural Networks for Gait Identification in Wearable Devices / Agnetti, Giacomo; Migliorati, Andrea; Mari, Daniele; Bianchi, Tiziano; Milani, Simone; Magli, Enrico. - (2024), pp. 1-6. (Intervento presentato al convegno 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024 tenutosi a Rome (Ita) nel 02-05 December 2024) [10.1109/wifs61860.2024.10810715]. 1-gen-2024 Migliorati, AndreaBianchi, TizianoMagli, Enrico + Ternary_Neural_Networks_for_Gait_Identification_in_Wearable_Devices.pdf; Ternary_Neural_Networks_for_Gait_Identification_in_Wearable_Devices_OA.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
GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN / Leuzzi, Chiara; Nardin, Andrea; Madaro, A.; Messineo, Rosario; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Sobreira, Hugo; Swinden, Richard. - ELETTRONICO. - (2023), pp. 129-132. (Intervento presentato al convegno 2023 conference on Big Data from Space tenutosi a Vienna, Austria nel 6-9 November 2023) [10.2760/46796]. 1-gen-2023 Andrea NardinFabio DovisDiego ValsesiaEnrico Magli + Leuzzi_nardin_JRC135493_01-147-150.pdf
Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2 / Inzerillo, G; Valsesia, D; Magli, E; Niro, F; De Grandis, E. - ELETTRONICO. - (2023), pp. 5139-5142. (Intervento presentato al convegno 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena (USA) nel 16-21 July, 2023) [10.1109/IGARSS52108.2023.10283177]. 1-gen-2023 Inzerillo GValsesia DMagli E + Proba-V_Multi-Temporal_Super-Resolution_Guided_by_Sentinel-2.pdf; 1624.pdf
On the Use of Machine Learning Algorithms to Improve GNSS Products / Nardin, Andrea; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Leuzzi, Chiara; Messineo, Rosario; Sobreira, Hugo; Swinden, Richard. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) tenutosi a Monterey, California, USA nel 24-27 Aprile 2023) [10.1109/PLANS53410.2023.10139920]. 1-gen-2023 Andrea NardinFabio DovisDiego ValsesiaEnrico Magli + _IEEE_ION_PLANS_2023__GNSS_ML_demo_ESA_Altec.pdf; Nardin-OnTheUse.pdf
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee / Bajić, Ivan V.; Mrak, Marta; Dufaux, Frédéric; Magli, Enrico; Chen, Tsuhan. - In: IEEE SIGNAL PROCESSING MAGAZINE. - ISSN 1053-5888. - ELETTRONICO. - 40:4(2023), pp. 72-79. [10.1109/MSP.2023.3260989] 1-gen-2023 Enrico Magli + Multimedia_Signal_Processing_A_history_of_the_Multimedia_Signal_Processing_Technical_Committee.pdf; MMSP - SPM paper - final version.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
Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events / Guzzi, Donatella; Baldi, Massimo; Bianchi, Tiziano; Buongiorno, Fabrizia; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani de Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051031] 1-gen-2023 Bianchi, TizianoMagli, EnricoValsesia, Diego + engproc-51-00031.pdf
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload / Bianchi, Tiziano; Cilia, Martina; Magli, Enrico; Migliorati, Andrea; Prette, Nicola; Valsesia, Diego. - (2023), pp. 4234-4237. (Intervento presentato al convegno IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena, CA (USA) nel 16-21 July 2023) [10.1109/igarss52108.2023.10281867]. 1-gen-2023 Bianchi, TizianoCilia, MartinaMagli, EnricoMigliorati, AndreaPrette, NicolaValsesia, Diego Onboard_Processing_Capabilities_of_an_Earth_Observation_Compressive_Sensing_Payload.pdf; SURPRISE_Onboard.pdf
Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution / Prette, N.; Valsesia, D.; Bianchi, T.; Magli, E.. - ELETTRONICO. - (2023), pp. 5135-5138. (Intervento presentato al convegno IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena, CA (USA) nel 16-21 July 2023) [10.1109/IGARSS52108.2023.10281856]. 1-gen-2023 Prette N.Valsesia D.Bianchi T.Magli E. Towards_Unsupervised_Multi-Temporal_Satellite_Image_Super-Resolution.pdf; Unsupervised_MISR-1.pdf
Temporal dynamics clustering for analyzing cell behavior in mobile networks / Li, Shuyang; Francini, Gianluca; Magli, Enrico. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - ELETTRONICO. - 223:(2023), p. 109578. [10.1016/j.comnet.2023.109578] 1-gen-2023 Li, ShuyangMagli, Enrico + 1-s2.0-S1389128623000233-main.pdf; TemporalDynamicClustering_compressed.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.pdf; RandomNN.pdf
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis / Nardino, V.; Guzzi, D.; Lastri, C.; Palombi, L.; Coluccia, G.; Magli, E.; Labate, D.; Raimondi, V.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:4(2023), pp. 1-24. [10.3390/s23042269] 1-gen-2023 Magli E. + sensors-23-02269.pdf
TDANet: an efficient solution for short-term mobile traffic forecasting / Li, Shuyang; Magli, Enrico; Francini, Gianluca. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) tenutosi a Florence (Italy) nel 20-23 June 2023) [10.1109/VTC2023-Spring57618.2023.10199607]. 1-gen-2023 Li, ShuyangMagli, Enrico + TDANet_An_Efficient_Solution_For_Short-Term_Mobile_Traffic_Forecasting.pdf; VTC2023_TDANet, An Efficient Solution For Short-Term Mobile Traffic Forecasting.pdf
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared / Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Prette, Nicola; Raimondi, Valentina; Valsesia, Diego. - ELETTRONICO. - (2023), pp. 4463-4465. (Intervento presentato al convegno IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena, CA (USA) nel 16-21 July 2023) [10.1109/igarss52108.2023.10283029]. 1-gen-2023 Bianchi, TizianoMagli, EnricoPrette, NicolaValsesia, Diego + Diffraction_Efficiency-Aware_Reconstruction_for_Compressive_Sensing_in_the_Mid-Infrared.pdf; SURPRISE_MIR_Reconstruction.pdf
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances / Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Carlà, Roberto; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - 12777:(2023), pp. 1-10. (Intervento presentato al convegno International Conference on Space Optics - ICSO 2022 tenutosi a Dubrovnik (Croatia) nel 3-7 October 2022) [10.1117/12.2690634]. 1-gen-2023 Bianchi, TizianoMagli, EnricoValsesia, Diego + 1277741.pdf
Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring / Borrelli, Donato; Baldi, Massimo; Berndt, Dirk; Bertoncini, Lucas; Bianchi, Tiziano; Bischof, Lionel; Borque Gallego, Guzman; Carlà, Roberto; Coppo, Peter; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Franci, Enrico; González, Sara Francés; Gonnelli, Andrea; Guerri, Irene; Guzzi, Donatella; Humbert, Stéphane; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Migliorati, Andrea; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Piccirillo, Alice Maria; Pilato, Giuseppe; Suetta, Enrico; Taddei, Dario; Valsesia, Diego; Wagner, Michael; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051032] 1-gen-2023 Bianchi, TizianoMagli, EnricoMigliorati, AndreaValsesia, Diego + engproc-51-00032.pdf
Gaussian class-conditional simplex loss for accurate, adversarially robust deep classifier training / Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico. - In: EURASIP JOURNAL ON INFORMATION SECURITY. - ISSN 2510-523X. - ELETTRONICO. - 2023:1(2023), pp. 1-17. [10.1186/s13635-023-00137-0] 1-gen-2023 Andrea MiglioratiTiziano BianchiEnrico Magli + s13635-023-00137-0.pdf
To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting / Li, Shuyang; Magli, Enrico; Francini, Gianluca. - ELETTRONICO. - (2023), pp. 5471-5476. (Intervento presentato al convegno 2023 International Conference on Communications tenutosi a Roma (Italy) nel 28 May 2023 - 01 June 2023) [10.1109/ICC45041.2023.10279534]. 1-gen-2023 Shuyang LiEnrico Magli + ICC 2023_To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting.pdf; To_be_Conservative_or_to_be_Aggressive_A_Risk-Adaptive_Mixture_of_Experts_for_Mobile_Traffic_Forecasting.pdf
Prediction of geomagnetic events from solar wind data using deep learning / Lo Schiavo, M.; Magli, E.; Fineschi, S.; Nicolini, G.; Telloni, D.. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 European Data Handling & Data Processing Conference for Space tenutosi a Noordwijk (Ned) nel 2-6 October 2023) [10.23919/EDHPC59100.2023.10396458]. 1-gen-2023 Lo Schiavo M.Magli E. + Prediction_of_geomagnetic_events_from_solar_wind_data_using_deep_learning.pdf; Prediction of geomagnetic events from solar wind data using Deep Learning.pdf
Prediction Capability of Geomagnetic Events from Solar Wind Data Using Neural Networks / Telloni, D.; Lo Schiavo, M.; Magli, E.; Fineschi, S.; Guastavino, S.; Nicolini, G.; Susino, R.; Giordano, S.; Amadori, F.; Candiani, V.; Massone, A. M.; Piana, M.. - In: THE ASTROPHYSICAL JOURNAL. - ISSN 1538-4357. - STAMPA. - 952:2(2023), pp. 1-8. [10.3847/1538-4357/acdeea] 1-gen-2023 Lo Schiavo M.Magli E. + Telloni_2023_ApJ_952_111.pdf
Coronal Heating Rate in the Slow Solar Wind / Telloni, D.; Romoli, M.; Velli, M.; Zank, G. P.; Adhikari, L.; Downs, C.; Burtovoi, A.; Susino, R.; Spadaro, D.; Zhao, L.; Liberatore, A.; Shi, C.; De Leo, Y.; Abbo, L.; Frassati, F.; Jerse, G.; Landini, F.; Nicolini, G.; Pancrazzi, M.; Russano, G.; Sasso, C.; Andretta, V.; Da Deppo, V.; Fineschi, S.; Grimani, C.; Heinzel, P.; Moses, J. D.; Naletto, G.; Stangalini, M.; Teriaca, L.; Uslenghi, M.; Berlicki, A.; Bruno, R.; Capobianco, G.; Capuano, G. E.; Casini, C.; Casti, M.; Chioetto, P.; Corso, A. J.; D'Amicis, R.; Fabi, M.; Frassetto, F.; Giarrusso, M.; Giordano, S.; Guglielmino, S. L.; Magli, E.; Massone, G.; Messerotti, M.; Nistico, G.; Pelizzo, M. G.; Reale, F.; Romano, P.; Schuhle, U.; Solanki, S. K.; Straus, T.; Ventura, R.; Volpicelli, C. A.; Zangrilli, L.; Zimbardo, G.; Zuppella, P.; Bale, S. D.; Kasper, J. C.. - In: THE ASTROPHYSICAL JOURNAL LETTERS. - ISSN 2041-8205. - STAMPA. - 955:1(2023), pp. 1-8. [10.3847/2041-8213/ace112] 1-gen-2023 Magli E. + apjl_955_1_L4.pdf
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation / Montanaro, Antonio; Valsesia, Diego; 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/ICASSP49357.2023.10095253]. 1-gen-2023 Montanaro, AntonioValsesia, DiegoMagli, Enrico montanaro_icassp.pdf; Hyperbolic_regularizer-1.pdf
Deep Learning Methods for Satellite Compressive Imaging / Cilia, Martina; Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1-8. (Intervento presentato al convegno OBPDC2022 - 8th International Workshop on OnBoard Payload Data Compression tenutosi a Athens, Greece nel 28-30 September 2022) [10.5281/zenodo.7245260]. 1-gen-2022 Martina CiliaNicola PretteDiego ValsesiaTiziano BianchiEnrico Magli Session 5B-Prette-Deep Learning Methods for Satellite Compressive Imaging.pdf
Joint Super-Resolved Compressive Sensing and Encryption for Earth Observation Applications / Migliorati, Andrea; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1-7. (Intervento presentato al convegno OBPDC2022 - 8th International Workshop on OnBoard Payload Data Compression tenutosi a Athens, Greece nel 28-30 September 2022) [10.5281/zenodo.7245135]. 1-gen-2022 Andrea MiglioratiDiego ValsesiaTiziano BianchiEnrico Magli Session 4A-Magli-Joint Super-Resolved Compressive Sensing and Encryption for Earth Observation Applications.pdf
La società dell'informazione / Magli, E. - In: Tutela giuridica del software: dal software all'intelligenza artificiale dalle banche dati ai big dataSTAMPA. - Milano : Key, 2022. - ISBN 8827910638. - pp. 17-44 1-gen-2022 Magli E. AA.VV. - Tutela giuridica software VSS 25 MAGGIO.pdf; AA.VV.+-+Tutela+giuridica+software+VSS+25+MAGGIO_2.pdf
Point cloud attribute compression with neural implicit representations / Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.. - ELETTRONICO. - (2022). (Intervento presentato al convegno 2022 ESA International Workshop on On-Board Data Compression tenutosi a Athens (Gre) nel 28-30 September 2022). 1-gen-2022 Pistilli F.Valsesia D.Fracastoro G.Magli E. neural_implicit_obpdc22.pdf; Session 4B-Valsesia-Point cloud attribute compression with neural implicit representations.pdf
End-to-End Results for Almost-Real-Time Earth Observation from the EO-ALERT Project / Kerr, Murray; Tonetti, Stefania; Cornara, Stefania; Bravo Pérez-Villar, Juan-Ignacio; Hinz, Robert; Latorre, Antonio; Membibre, Francisco; Morón, Alvaro; Wiehle, Stefan; Breit, Helko; Günzel, Dominik; Mandapati, Srikantha; Tings, Björn; Balss, Ulrich; Koudelka, Otto; Teschl, Franz; Magli, Enrico; Bianchi, Tiziano; Migliorati, Andrea; Motto Ros, Paolo; Caon, Michele; Martina, Maurizio; Freddi, Riccardo; Curci, Guido; Marcos, Cecilia. - ELETTRONICO. - (2022). (Intervento presentato al convegno Living Planet Symposium 2022 tenutosi a Bonn, Germany nel 23-27 May 2022). 1-gen-2022 Magli, EnricoBianchi, TizianoMigliorati, AndreaMotto Ros, PaoloCaon, MicheleMaurizio, Martina + 02_KERR.pdf; eoalert-lps2022-abs-10.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
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
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
Rethinking the compositionality of point clouds through regularization in the hyperbolic space / Montanaro, A.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). 1-gen-2022 Montanaro A.Valsesia D.Magli E. montanaro_neurips22.pdf
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