Search Results - Massimo Brescia

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  1. 41
    Discriminating among cosmological models by data-driven methods

    Discriminating among cosmological models by data-driven methods by Vilardi, Simone, Capozziello, Salvatore, Brescia, Massimo

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  2. 42
    Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process

    Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process by Bazzanini, Lorenzo, Ferro, Lisa, Guidorzi, Cristiano, Angora, Giuseppe, Amati, Lorenzo, Brescia, Massimo, Bulla, Mattia, Frontera, Filippo, Maccary, Romain, Maistrello, Manuele, Rosati, Piero, Tsvetkova, Anastasia

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  3. 43
    Comparison of outlier detection methods on astronomical image data

    Comparison of outlier detection methods on astronomical image data by Doorenbos, Lars, Cavuoti, Stefano, Brescia, Massimo, D'Isanto, Antonio, Longo, Giuseppe

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  4. 44
    Anomaly detection in Astrophysics: a comparison between unsupervised Deep and Machine Learning on KiDS data

    Anomaly detection in Astrophysics: a comparison between unsupervised Deep and Machine Learning on KiDS data by D'Addona, Maurizio, Riccio, Giuseppe, Cavuoti, Stefano, Tortora, Crescenzo, Brescia, Massimo

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  5. 45
    ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection

    ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection by Doorenbos, Lars, Torbaniuk, Olena, Cavuoti, Stefano, Paolillo, Maurizio, Longo, Giuseppe, Brescia, Massimo, Sznitman, Raphael, Márquez-Neila, Pablo

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  6. 46
    Improving the reliability of photometric redshift with machine learning

    Improving the reliability of photometric redshift with machine learning by Razim, Oleksandra, Cavuoti, Stefano, Brescia, Massimo, Riccio, Giuseppe, Salvato, Mara, Longo, Giuseppe

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  7. 47
    Photometric redshifts with machine learning, lights and shadows on a complex data science use case

    Photometric redshifts with machine learning, lights and shadows on a complex data science use case by Brescia, Massimo, Cavuoti, Stefano, Razim, Oleksandra, Amaro, Valeria, Riccio, Giuseppe, Longo, Giuseppe

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  8. 48
    Galaxy morphoto-Z with neural Networks (GaZNets). I. Optimized accuracy and outlier fraction from Imaging and Photometry

    Galaxy morphoto-Z with neural Networks (GaZNets). I. Optimized accuracy and outlier fraction from Imaging and Photometry by Li, Rui, Napolitano, Nicola R, Feng, Haicheng, Li, Ran, Amaro, Valeria, Xie, Linghua, Tortora, Crescenzo, Bilicki, Maciej, Brescia, Massimo, Cavuoti, Stefano, Radovich, Mario

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  9. 49
    A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies

    A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies by Donadio, Carlo, Brescia, Massimo, Alessia Riccardo, Angora, Giuseppe, Michele Delli Veneri, Riccio, Giuseppe

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  10. 50
    Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models

    Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models by Doorenbos, Lars, Sextl, Eva, Heng, Kevin, Cavuoti, Stefano, Brescia, Massimo, Torbaniuk, Olena, Longo, Giuseppe, Sznitman, Raphael, Márquez-Neila, Pablo

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  11. 51
    VST-GAME: Galaxy Assembly as a function of Mass and Environment with VST. Photometric assessment and density field of MACSJ0416

    VST-GAME: Galaxy Assembly as a function of Mass and Environment with VST. Photometric assessment and density field of MACSJ0416 by Estrada, Nicolas, Mercurio, Amata, Vulcani, Benedetta, Rodighiero, Giulia, Nonino, Mario, Annunziatella, Marianna, Rosati, Piero, Grillo, Claudio, Gabriel Bartosch Caminha, Angora, Giuseppe, Biviano, Andrea, Brescia, Massimo, Gabriella De Lucia, Demarco, Ricardo, Girardi, Marisa, Gobat, Raphael, Lemaux, Brian C

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  12. 52
    Astroinformatics, data mining and the future of astronomical research

    Astroinformatics, data mining and the future of astronomical research by Brescia, Massimo, Longo, Giuseppe

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  13. 53
    Leveraging Transfer Learning for Astronomical Image Analysis

    Leveraging Transfer Learning for Astronomical Image Analysis by Cavuoti, Stefano, Doorenbos, Lars, De Cicco, Demetra, Sasanelli, Gianluca, Brescia, Massimo, Longo, Giuseppe, Paolillo, Maurizio, Torbaniuk, Olena, Angora, Giuseppe, Tortora, Crescenzo

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  14. 54
    AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging

    AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging by Dosi, Andrea, Brescia, Massimo, Cavuoti, Stefano, D'Aniello, Mariarca, Michele Delli Veneri, Donadio, Carlo, Ettari, Adriano, Longo, Giuseppe, Alvi Rownok, Sannino, Luca, Zampella, Maria

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  15. 55
    Generating astronomical spectra from photometry with conditional diffusion models

    Generating astronomical spectra from photometry with conditional diffusion models by Doorenbos, Lars, Cavuoti, Stefano, Longo, Giuseppe, Brescia, Massimo, Sznitman, Raphael, Márquez-Neila, Pablo

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  16. 56
    Automated physical classification in the SDSS DR10. A catalogue of candidate Quasars

    Automated physical classification in the SDSS DR10. A catalogue of candidate Quasars by Brescia, Massimo, Cavuoti, Stefano, Longo, Giuseppe

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  17. 57
    Rejection criteria based on outliers in the KiDS photometric redshifts and PDF distributions derived by machine learning

    Rejection criteria based on outliers in the KiDS photometric redshifts and PDF distributions derived by machine learning by Amaro, Valeria, Cavuoti, Stefano, Brescia, Massimo, Riccio, Giuseppe, Tortora, Crescenzo, D'Addona, Maurizio, Michele Delli Veneri, Napolitano, Nicola R, Radovich, Mario, Longo, Giuseppe

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  18. 58
    Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

    Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case by Brescia, Massimo, Cavuoti, Stefano, Amaro, Valeria, Riccio, Giuseppe, Angora, Giuseppe, Vellucci, Civita, Longo, Giuseppe

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  19. 59
    Neural Gas based classification of Globular Clusters

    Neural Gas based classification of Globular Clusters by Angora, Giuseppe, Brescia, Massimo, Cavuoti, Stefano, Riccio, Giuseppe, Paolillo, Maurizio, Puzia, Thomas H

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  20. 60
    Periodic Astrometric Signal Recovery through Convolutional Autoencoders

    Periodic Astrometric Signal Recovery through Convolutional Autoencoders by Michele Delli Veneri, Desdoigts, Louis, Schmitz, Morgan A, Krone-Martins, Alberto, Ishida, Emille E O, Tuthill, Peter, de Souza, Rafael S, Scalzo, Richard, Brescia, Massimo, Longo, Giuseppe, Picariello, Antonio

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