Archivio Istituzionale della RicercaMAGLI, 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
Cancelable templates for secure face verification based on deep learning and random projections
2024 Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico
ConQ: Binary Quantization of Neural Networks via Concave Regularization
2024 Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
2024 Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea
Deep learning based prediction of traffic peaks in mobile networks
2024 Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio
Deep Learning Methods for Satellite Image Super-Resolution
2024 Valsesia, Diego; Magli, Enrico
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution
2024 Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor
2024 Li, S.; Magli, E.; Francini, G.
Fast Inference in Denoising Diffusion Models via MMD Finetuning
2024 Aiello, Emanuele; Valsesia, Diego; Magli, Enrico
Gaussian Class-Conditional Training for Secure and Robust Deep Neural Networks
2024 Bianchi, Tiziano; Migliorati, Andrea; Magli, Enrico
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Metis Observation of the Onset of Fully Developed Turbulence in the Solar Corona
2024 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
Multitask AI for onboard intelligence in Earth observation missions
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention
2024 Valsesia, Diego; Bianchi, Tiziano; 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
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution
2024 Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis
2023 Nardino, V.; Guzzi, D.; Lastri, C.; Palombi, L.; Coluccia, G.; Magli, E.; Labate, D.; Raimondi, V.
| 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 + | - |
| 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 |
| 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 |
| 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 |
| 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 | - |
| 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 |
| 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:(2024), pp. 828-838. [10.1109/jstars.2024.3502776] | 1-gen-2024 | Inzerillo, GabrieleValsesia, DiegoMagli, Enrico | Efficient_Onboard_Multitask_AI_Architecture_Based_on_Self-Supervised_Learning.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. + | - |
| 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 |
| 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 |
| 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 |
| 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 + | - |
| 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 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 |
| 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 |
| 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 |
| 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 |