FRANCHINI, Giorgia
FRANCHINI, Giorgia
Dipartimento di Scienze Fisiche, Informatiche e Matematiche
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction
2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
A Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem
2025 Magnani, Matteo; Franchini, Giorgia; Dell'Amico, Mauro; Zanni, Luca
A stochastic gradient method with variance control and variable learning rate for Deep Learning
2024 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
A variable metric proximal stochastic gradient method: An application to classification problems
2024 Cascarano, P.; Franchini, G.; Kobler, E.; Porta, F.; Sebastiani, A.
Addressing challenges in industrial pick and place: A deep learning-based 6 Degrees-of-Freedom pose estimation solution
2024 Govi, E.; Sapienza, D.; Toscani, S.; Cotti, I.; Franchini, G.; Bertogna, M.
All you can embed: Natural language based vehicle retrieval with spatio-temporal transformers
2021 Scribano, C.; Sapienza, D.; Franchini, G.; Verucchi, M.; Bertogna, M.
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy
2020 Franchini, G.; Burgio, P.; Zanni, L.
Automatic Setting of Learning Rate and Mini-batch Size in Momentum and AdaM Stochastic Gradient Methods
2024 Franchini, G.; Porta, F.
Automatic stochastic dithering techniques on GPU: Image quality and processing time improved
2020 Franchini, G.; Cavicchioli, R.; Hu, J. C.
Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques
2023 Bertellini, P.; D'Addese, G.; Franchini, G.; Parisi, S.; Scribano, C.; Zanirato, D.; Bertogna, M.
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network
2022 Franchini, Giorgia; Verucchi, Micaela; Catozzi, Ambra; Porta, Federica; Prato, Marco
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM
2021 Cascarano, P.; Sebastiani, A.; Comes, M. C.; Franchini, G.; Porta, F.
Computing pth root of a transition matrix with a deep unsupervised learning approach
2025 Camellini, Filippo; Franchini, Giorgia; Prato, Marco
Constrained and unconstrained deep image prior optimization models with automatic regularization
2023 Cascarano, Pasquale; Franchini, Giorgia; Kobler, Erich; Porta, Federica; Sebastiani, Andrea
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction (Journal of Scientific Computing, (2023), 94, 1, (23), 10.1007/s10915-022-02084-3)
2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform
2023 Scribano, C.; Franchini, G.; Prato, M.; Bertogna, M.
Deep Image Prior for medical image denoising, a study about parameter initialization
2022 Sapienza, Davide; Franchini, Giorgia; Govi, Elena; Bertogna, Marko; Prato, Marco
Denoising Diffusion Models on Model-Based Latent Space
2023 Scribano, C.; Pezzi, D.; Franchini, G.; Prato, M.
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods
2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study
2023 Ferrara, M.; Gentili, E.; Murri, M. B.; Zese, R.; Alberti, M.; Franchini, G.; Domenicano, I.; Folesani, F.; Sorio, C.; Benini, L.; Carozza, P.; Little, J.; Grassi, L.