Giorgia Franchini
Orcid: 0000-0001-9082-8087
According to our database1,
Giorgia Franchini
authored at least 29 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A stochastic gradient method with variance control and variable learning rate for Deep Learning.
J. Comput. Appl. Math., 2024
A variable metric proximal stochastic gradient method: An application to classification problems.
EURO J. Comput. Optim., 2024
2023
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., August, 2023
J. Sci. Comput., February, 2023
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., 2023
CoRR, 2023
Constrained and unconstrained deep image prior optimization models with automatic regularization.
Comput. Optim. Appl., 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems.
Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023
Proceedings of the Optimization and Learning - 6th International Conference, 2023
A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem.
Proceedings of the Numerical Computations: Theory and Algorithms, 2023
Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance.
Proceedings of the Numerical Computations: Theory and Algorithms, 2023
Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
2022
Deep Image Prior for medical image denoising, a study about parameter initialization.
Frontiers Appl. Math. Stat., 2022
CoRR, 2022
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning.
CoRR, 2022
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.
Algorithms, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021
All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Soft Comput., 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
2019
Proceedings of the Numerical Computations: Theory and Algorithms, 2019
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
2018
Proceedings of the Intelligent Systems Design and Applications, 2018