Hasil Pencarian - Cosimo Distante

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  1. 1
    An Investigation on the Feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation

    An Investigation on the Feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation oleh Dario Cazzato, Marco Leo, Cosimo Distante

    Diterbitkan 2014-05-01
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  2. 2
    When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

    When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking oleh Dario Cazzato, Marco Leo, Cosimo Distante, Holger Voos

    Diterbitkan 2020-07-01
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  3. 3
    An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array

    An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array oleh Marco Leo, Cosimo Distante, Mara Bernabei, Krishna Persaud

    Diterbitkan 2014-09-01
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  4. 4
    An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading

    An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading oleh Pierluigi Carcagnì, Marco Leo, Luca Signore, Cosimo Distante

    Diterbitkan 2023-05-01
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  5. 5
    A Siamese Neural Network for Non-Invasive Baggage Re-Identification

    A Siamese Neural Network for Non-Invasive Baggage Re-Identification oleh Pier Luigi Mazzeo, Christian Libetta, Paolo Spagnolo, Cosimo Distante

    Diterbitkan 2020-11-01
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  6. 6
    Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions

    Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions oleh Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì, Cosimo Distante

    Diterbitkan 2022-01-01
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  7. 7
    Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN

    Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN oleh Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed

    Diterbitkan 2021-08-01
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  8. 8
    Unsupervised eye pupil localization through differential geometry and local self-similarity matching.

    Unsupervised eye pupil localization through differential geometry and local self-similarity matching. oleh Marco Leo, Dario Cazzato, Tommaso De Marco, Cosimo Distante

    Diterbitkan 2014-01-01
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  9. 9
    Ocular Biometrics Recognition by Analyzing Human Exploration during Video Observations

    Ocular Biometrics Recognition by Analyzing Human Exploration during Video Observations oleh Dario Cazzato, Pierluigi Carcagnì, Claudio Cimarelli, Holger Voos, Cosimo Distante, Marco Leo

    Diterbitkan 2020-06-01
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  10. 10
    Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI

    Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI oleh Pierluigi Carcagnì, Marco Leo, Marco Del Coco, Cosimo Distante, Andrea De Salve

    Diterbitkan 2023-02-01
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  11. 11
    Deep learning techniques for hyperspectral image analysis in agriculture: A review

    Deep learning techniques for hyperspectral image analysis in agriculture: A review oleh Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed

    Diterbitkan 2024-04-01
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  12. 12
    A Microservices Architecture based on a Deep-learning Approach for an Innovative Fruition of Art and Cultural Heritage

    A Microservices Architecture based on a Deep-learning Approach for an Innovative Fruition of Art and Cultural Heritage oleh Ilaria Sergi, Marco Leo, Pierluigi Carcagnì, Marco La Franca, Cosimo Distante, Luigi Patrono

    Diterbitkan 2022-06-01
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  13. 13
    Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification

    Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification oleh Emanuela Paladini, Edoardo Vantaggiato, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed

    Diterbitkan 2021-03-01
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  14. 14
    Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans

    Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans oleh Fares Bougourzi, Cosimo Distante, Abdelkrim Ouafi, Fadi Dornaika, Abdenour Hadid, Abdelmalik Taleb-Ahmed

    Diterbitkan 2021-09-01
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  15. 15
    Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches

    Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches oleh Marco Leo, Pierluigi Carcagnì, Pier Luigi Mazzeo, Paolo Spagnolo, Dario Cazzato, Cosimo Distante

    Diterbitkan 2020-02-01
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  16. 16
    COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases

    COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases oleh Edoardo Vantaggiato, Emanuela Paladini, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed

    Diterbitkan 2021-03-01
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  17. 17
    Microplastic Identification via Holographic Imaging and Machine Learning

    Microplastic Identification via Holographic Imaging and Machine Learning oleh Vittorio Bianco, Pasquale Memmolo, Pierluigi Carcagnì, Francesco Merola, Melania Paturzo, Cosimo Distante, Pietro Ferraro

    Diterbitkan 2020-02-01
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  18. 18
    Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma

    Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma oleh Marco Leo, Pierluigi Carcagnì, Luca Signore, Francesco Corcione, Giulio Benincasa, Mikko O. Laukkanen, Cosimo Distante

    Diterbitkan 2024-01-01
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  19. 19
    MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation

    MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation oleh Pier Luigi Mazzeo, Riccardo Contino, Paolo Spagnolo, Cosimo Distante, Ettore Stella, Massimiliano Nitti, Vito Renò

    Diterbitkan 2020-07-01
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  20. 20
    Computational Analysis of Deep Visual Data for Quantifying Facial Expression Production

    Computational Analysis of Deep Visual Data for Quantifying Facial Expression Production oleh Marco Leo, Pierluigi Carcagnì, Cosimo Distante, Pier Luigi Mazzeo, Paolo Spagnolo, Annalisa Levante, Serena Petrocchi, Flavia Lecciso

    Diterbitkan 2019-10-01
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