FRANCHINI, Giorgia

FRANCHINI, Giorgia  

Dipartimento di Scienze Fisiche, Informatiche e Matematiche  

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Titolo Data di pubblicazione Autore(i) File
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
All you can embed: Natural language based vehicle retrieval with spatio-temporal transformers 1-gen-2021 Scribano, C.; Sapienza, D.; Franchini, G.; Verucchi, M.; Bertogna, M.
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy 1-gen-2020 Franchini, G.; Burgio, P.; Zanni, L.
Automatic stochastic dithering techniques on GPU: Image quality and processing time improved 1-gen-2020 Franchini, G.; Cavicchioli, R.; Hu, J. C.
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network 1-gen-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 1-gen-2021 Cascarano, P.; Sebastiani, A.; Comes, M. C.; Franchini, G.; Porta, F.
Constrained and unconstrained deep image prior optimization models with automatic regularization 1-gen-2022 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) 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform 1-gen-2023 Scribano, C.; Franchini, G.; Prato, M.; Bertogna, M.
Deep Image Prior for medical image denoising, a study about parameter initialization 1-gen-2022 Sapienza, Davide; Franchini, Giorgia; Govi, Elena; Bertogna, Marko; Prato, Marco
Denoising Diffusion Models on Model-Based Latent Space 1-gen-2023 Scribano, C.; Pezzi, D.; Franchini, G.; Prato, M.
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Explainable bilevel optimization: An application to the Helsinki deblur challenge 1-gen-2023 Bonettini, Silvia; Franchini, Giorgia; Pezzi, Danilo; Prato, Marco
Learning rate selection in stochastic gradient methods based on line search strategies 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Learning the Image Prior by Unrolling an Optimization Method 1-gen-2022 Bonettini, S.; Franchini, G.; Pezzi, D.; Prato, M.
Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment 1-gen-2022 Ferrara, Maria; Franchini, Giorgia; Funaro, Melissa; Cutroni, Marcello; Valier, Beatrice; Toffanin, Tommaso; Palagini, Laura; Zerbinati, Luigi; Folesani, Federica; Murri, Martino Belvederi; Caruso, Rosangela; Grassi, Luigi
Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems 1-gen-2023 Masola, A.; Capodieci, N.; Rouxel, B.; Franchini, G.; Cavicchioli, R.
Neural architecture search via standard machine learning methodologies 1-gen-2023 Franchini, Giorgia; Ruggiero, Valeria; Porta, Federica; Zanni, Luca
On the First-Order Optimization Methods in Deep Image Prior 1-gen-2022 Cascarano, P.; Franchini, G.; Porta, F.; Sebastiani, A.
On the Steplength Selection in Stochastic Gradient Methods 1-gen-2020 Franchini, G.; Ruggiero, V.; Zanni, L.