Hasil Pencarian - Alberto Testolin

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  1. 1
    The Challenge of Modeling the Acquisition of Mathematical Concepts

    The Challenge of Modeling the Acquisition of Mathematical Concepts oleh Alberto Testolin, Alberto Testolin

    Diterbitkan 2020-03-01
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  2. 2
    Can Neural Networks Do Arithmetic? A Survey on the Elementary Numerical Skills of State-of-the-Art Deep Learning Models

    Can Neural Networks Do Arithmetic? A Survey on the Elementary Numerical Skills of State-of-the-Art Deep Learning Models oleh Alberto Testolin

    Diterbitkan 2024-01-01
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  3. 3
    Automated detection of dolphin whistles with convolutional networks and transfer learning

    Automated detection of dolphin whistles with convolutional networks and transfer learning oleh Burla Nur Korkmaz, Roee Diamant, Gil Danino, Alberto Testolin, Alberto Testolin

    Diterbitkan 2023-01-01
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  4. 4
    Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

    Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets oleh Alberto Testolin, Roee Diamant

    Diterbitkan 2020-05-01
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  5. 5
    Emergence of Network Motifs in Deep Neural Networks

    Emergence of Network Motifs in Deep Neural Networks oleh Matteo Zambra, Amos Maritan, Alberto Testolin

    Diterbitkan 2020-02-01
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  6. 6
    Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization

    Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization oleh Tommaso Boccato, Alberto Testolin, Marco Zorzi

    Diterbitkan 2021-07-01
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  7. 7
    Probabilistic models and generative neural networks: towards a unified framework for modeling normal and impaired neurocognitive functions

    Probabilistic models and generative neural networks: towards a unified framework for modeling normal and impaired neurocognitive functions oleh Alberto Testolin, Marco Zorzi, Marco Zorzi

    Diterbitkan 2016-07-01
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  8. 8
    Visual sense of number vs. sense of magnitude in humans and machines

    Visual sense of number vs. sense of magnitude in humans and machines oleh Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi

    Diterbitkan 2020-06-01
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  9. 9
    The phase space of meaning model of psychopathology: A computer simulation modelling study.

    The phase space of meaning model of psychopathology: A computer simulation modelling study. oleh Johann Roland Kleinbub, Alberto Testolin, Arianna Palmieri, Sergio Salvatore

    Diterbitkan 2021-01-01
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  10. 10
    Observational study on the non-linear response of dolphins to the presence of vessels

    Observational study on the non-linear response of dolphins to the presence of vessels oleh Roee Diamant, Alberto Testolin, Ilan Shachar, Ori Galili, Aviad Scheinin

    Diterbitkan 2024-03-01
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  11. 11
    A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients

    A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients oleh Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

    Diterbitkan 2021-04-01
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  12. 12
    Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence

    Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence oleh Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

    Diterbitkan 2015-01-01
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  13. 13
    Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting

    Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting oleh Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin

    Diterbitkan 2024-04-01
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  14. 14
    Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients

    Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients oleh Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin

    Diterbitkan 2023-03-01
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