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GreenNAS: A Green Approach to the Hyperparameters Tuning in Deep Learning

Mathematics (Basel), 2024-03, Vol.12 (6), p.850

Franchini, Giorgia

2024

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Neural architecture search via standard machine learning methodologies

Mathematics in engineering, 2023-01, Vol.5 (1), p.1-21

2023

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Denoising Diffusion Models on Model-Based Latent Space

Algorithms, 2023-11, Vol.16 (11), p.501

2023

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Learning rate selection in stochastic gradient methods based on line search strategies

Applied mathematics in science and engineering, 2023-12, Vol.31 (1)

2023

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Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network

Algorithms, 2022-10, Vol.15 (10), p.386

2022

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A variable metric proximal stochastic gradient method: An application to classification problems

EURO journal on computational optimization, 2024, Vol.12, p.100088, Article 100088

2024

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Deep Image Prior for medical image denoising, a study about parameter initialization

Frontiers in applied mathematics and statistics, 2022-10, Vol.8

2022

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Machine learning from real data: A mental health registry case study

Computer methods and programs in biomedicine update, 2024, Vol.5, p.100132, Article 100132

2024

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Occupational Therapy in Fatigue Management in Multiple Sclerosis: An Umbrella Review

Multiple sclerosis international, 2019-01, Vol.2019 (2019), p.1-7

2019

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Automatic setting of learning rate and mini-batch size in momentum and AdaM stochastic gradient methods

AIP Conference Proceedings, 2024, Vol.3094 (1)

2024

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Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study

JMIR medical informatics, 2023-08, Vol.11, p.e45523-e45523

2023

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A stochastic gradient method with variance control and variable learning rate for Deep Learning

Journal of computational and applied mathematics, 2024-12, Vol.451, p.116083, Article 116083

2024

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Ritz-like values in steplength selections for stochastic gradient methods

Soft computing (Berlin, Germany), 2020-12, Vol.24 (23), p.17573-17588

2020

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DCT-Former: Efficient Self-Attention with Discrete Cosine Transform

Journal of scientific computing, 2023-03, Vol.94 (3), p.67, Article 67

2023

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Constrained and unconstrained deep image prior optimization models with automatic regularization

Computational optimization and applications, 2023-01, Vol.84 (1), p.125-149

2023

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A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction

Journal of scientific computing, 2023, Vol.94 (1), p.23, Article 23

2023

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Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction

Journal of scientific computing, 2023-08, Vol.96 (2), p.48, Article 48

2023

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Explainable bilevel optimization: An application to the Helsinki deblur challenge

Inverse problems and imaging (Springfield, Mo.), 2023-10, Vol.17 (5), p.925-950

2023

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Addressing challenges in industrial pick and place: A deep learning-based 6 Degrees-of-Freedom pose estimation solution

Computers in industry, 2024-10, Vol.161, p.104130, Article 104130

2024

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On the First-Order Optimization Methods in Deep Image Prior

Journal of verification, validation, and uncertainty quantification, 2022-12, Vol.7 (4)

2022

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Automatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved

Advances in Science, Technology and Engineering Systems Journal (ASTESJ), 2020-11, Vol.5 (6), p.652-663

2020

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Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment

Current psychiatry reports, 2022-12, Vol.24 (12), p.925-936

2022

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Sex differences in schizophrenia-spectrum diagnoses: results from a 30-year health record registry

Archives of women's mental health, 2024-02, Vol.27 (1), p.11-20

2024

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On the Steplength Selection in Stochastic Gradient Methods

Numerical Computations: Theory and Algorithms, p.186-197

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Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods

Machine Learning, Optimization, and Data Science, 2022, Vol.13164, p.277-282

2022

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GreenNAS: A Green Approach to the Hyperparameters Tuning in Deep Learning

Neural architecture search via standard machine learning methodologies

Denoising Diffusion Models on Model-Based Latent Space

Learning rate selection in stochastic gradient methods based on line search strategies

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network

A variable metric proximal stochastic gradient method: An application to classification problems

Deep Image Prior for medical image denoising, a study about parameter initialization

Machine learning from real data: A mental health registry case study

Occupational Therapy in Fatigue Management in Multiple Sclerosis: An Umbrella Review

Automatic setting of learning rate and mini-batch size in momentum and AdaM stochastic gradient methods

Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study

A stochastic gradient method with variance control and variable learning rate for Deep Learning

Ritz-like values in steplength selections for stochastic gradient methods

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform

Constrained and unconstrained deep image prior optimization models with automatic regularization

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction

Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction

Explainable bilevel optimization: An application to the Helsinki deblur challenge

Addressing challenges in industrial pick and place: A deep learning-based 6 Degrees-of-Freedom pose estimation solution

On the First-Order Optimization Methods in Deep Image Prior

Automatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment

Sex differences in schizophrenia-spectrum diagnoses: results from a 30-year health record registry

On the Steplength Selection in Stochastic Gradient Methods

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods

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