MAGLI, ENRICO
MAGLI, ENRICO
Dipartimento di Elettronica e Telecomunicazioni
003507
A multi-service edge-AI architecture based on self-supervised learning
2024 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.
A nre architecture for onboard change detection based on deep learning
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello
ConQ: Binary Quantization of Neural Networks via Concave Regularization
2024 Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution
2024 Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor
2024 Li, S.; Magli, E.; Francini, G.
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Multitask AI for onboard intelligence in Earth observation missions
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Onboard hyperspectral image compression with deep line-based predictove architectures
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Sparsification of Deep Neural Networks via Ternary Quantization
2024 Dordoni, Luca; Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared
2023 Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Prette, Nicola; Raimondi, Valentina; Valsesia, Diego
GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN
2023 Leuzzi, Chiara; Nardin, Andrea; Madaro, A.; Messineo, Rosario; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Sobreira, Hugo; Swinden, Richard
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning
2023 Cilia, Martina; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
On the Use of Machine Learning Algorithms to Improve GNSS Products
2023 Nardin, Andrea; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Leuzzi, Chiara; Messineo, Rosario; Sobreira, Hugo; Swinden, Richard
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload
2023 Bianchi, Tiziano; Cilia, Martina; Magli, Enrico; Migliorati, Andrea; Prette, Nicola; Valsesia, Diego
Prediction of geomagnetic events from solar wind data using deep learning
2023 Lo Schiavo, M.; Magli, E.; Fineschi, S.; Nicolini, G.; Telloni, D.
Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2
2023 Inzerillo, G; Valsesia, D; Magli, E; Niro, F; De Grandis, E
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances
2023 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
TDANet: an efficient solution for short-term mobile traffic forecasting
2023 Li, Shuyang; Magli, Enrico; Francini, Gianluca
To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting
2023 Li, Shuyang; Magli, Enrico; Francini, Gianluca
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation
2023 Montanaro, Antonio; Valsesia, Diego; Magli, Enrico
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
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). | 1-gen-2024 | Magli EAngarano S.Bianchi T.Boccardo P.Bucci S.Chiaberge M.Inzerillo G.Piccinini D.Valsesia D. + | - |
A nre architecture for onboard change detection based on deep learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello. - ELETTRONICO. - (2024), pp. 1-7. (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression). | 1-gen-2024 | Gabriele InzerilloDiego ValsesiaEnrico Magli + | - |
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 |
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 |
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor / Li, S.; Magli, E.; Francini, G.. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE Wireless Communications and Networking Conference) [10.1109/WCNC57260.2024.10570577]. | 1-gen-2024 | Li S.Magli E. + | - |
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 |
Multitask AI for onboard intelligence in Earth observation missions / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2024), pp. 1-7. (Intervento presentato al convegno 2024 Small Satellites Systems and Services Symposium). | 1-gen-2024 | Gabriele InzerilloDiego ValsesiaEnrico Magli | - |
Onboard hyperspectral image compression with deep line-based predictove architectures / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024), pp. 1-5. (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression). | 1-gen-2024 | Diego ValsesiaTiziano BianchiEnrico Magli | - |
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 |
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 |
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 |
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 |
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 |
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 |
Prediction of geomagnetic events from solar wind data using deep learning / Lo Schiavo, M.; Magli, E.; Fineschi, S.; Nicolini, G.; Telloni, D.. - ELETTRONICO. - (2023), pp. 1-8. (Intervento presentato al convegno 2023 European Data Handling & Data Processing Conference for Space) [10.23919/EDHPC59100.2023.10396458]. | 1-gen-2023 | Lo Schiavo M.Magli E. + | - |
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) [10.1109/IGARSS52108.2023.10283177]. | 1-gen-2023 | Inzerillo GValsesia DMagli E + | - |
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 |
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 |
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 |
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 |