Giorgia Franchini

39 papers B 1C 1Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A line-search based SGD algorithm with Adaptive Importance Sampling. J. Comput. Appl. Math. Filippo Camellini, Serena Crisci, Anna De Magistris, Giorgia Franchini
2026	J	`jnl`	Can machine learning help in solving the pallet loading optimization problem? J. Heuristics Mauro Dell'Amico, Giorgia Franchini, Matteo Magnani, Luca Zanni
2025	J	`jnl`	Computing Int. J. Comput. Math. Filippo Camellini, Giorgia Franchini, Marco Prato
2025	J	`jnl`	Early stopping strategies in Deep Image Prior. Soft Comput. Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
2025	J	`jnl`	Linesearch-Enhanced Forward-Backward Methods for Inexact Nonconvex Scenarios. SIAM J. Imaging Sci. Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2025	—	`conf`	Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. ICIAP (2) Carmelo Scribano, Elena Govi, Paolo Bertellini, Simone Parisi, Giorgia Franchini, Marko Bertogna
2025	J	`jnl`	Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. CoRR Carmelo Scribano, Elena Govi, Paolo Bertellini, Simone Parisi, Giorgia Franchini, Marko Bertogna
2024	J	`jnl`	A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2024	J	`jnl`	A variable metric proximal stochastic gradient method: An application to classification problems. EURO J. Comput. Optim. Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2023	J	`jnl`	A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
2023	—	`conf`	A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. NUMTA (1) Matteo Magnani, Giorgia Franchini, Mauro Dell'Amico, Luca Zanni
2023	C	`conf`	Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. FedCSIS Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna
2023	J	`jnl`	Constrained and unconstrained deep image prior optimization models with automatic regularization. Comput. Optim. Appl. Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2023	J	`jnl`	Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
2023	J	`jnl`	DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. J. Sci. Comput. Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
2023	J	`jnl`	Denoising Diffusion Models on Model-Based Latent Space. Algorithms Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato
2023	—	`conf`	Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2023	—	`conf`	Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. NUMTA (1) Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2023	B	`conf`	Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. RTCSA Alessio Masola, Nicola Capodieci, Benjamin Rouxel, Giorgia Franchini, Roberto Cavicchioli
2023	J	`jnl`	Majorization-Minimization for sparse SVMs. CoRR Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
2023	J	`jnl`	Model-Based Underwater 6D Pose Estimation from RGB. CoRR Davide Sapienza, Elena Govi, Sara Aldhaheri, Giorgia Franchini, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón
2023	—	`conf`	Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
2023	J	`jnl`	Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. CoRR Elena Govi, Davide Sapienza, Carmelo Scribano, Tobia Poppi, Giorgia Franchini, Paola Ardón, Micaela Verucchi, Marko Bertogna
2022	J	`jnl`	Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
2022	J	`jnl`	CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning. CoRR Carmelo Scribano, Giorgia Franchini, Ignacio Sañudo Olmedo, Marko Bertogna
2022	J	`jnl`	DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. CoRR Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
2022	J	`jnl`	Deep Image Prior for medical image denoising, a study about parameter initialization. Frontiers Appl. Math. Stat. Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato
2022	J	`jnl`	Explainable bilevel optimization: an application to the Helsinki deblur challenge. CoRR Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2022	—	`conf`	Learning the Image Prior by Unrolling an Optimization Method. EUSIPCO Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2021	—	`conf`	All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. CVPR Workshops Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
2021	J	`jnl`	All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers. CoRR Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
2021	—	`conf`	Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. ICCSA (Workshops) Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta
2021	—	`conf`	Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. LOD Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini
2020	J	`jnl`	Ritz-like values in steplength selections for stochastic gradient methods. Soft Comput. Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2020	—	`conf`	Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. LOD (2) Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2019	—	`conf`	Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. INNSBDDL Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
2019	J	`jnl`	Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. CoRR Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
2019	—	`conf`	On the Steplength Selection in Stochastic Gradient Methods. NUMTA(1) Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2018	—	`conf`	Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. ISDA (2) Giorgia Franchini, Paolo Burgio, Luca Zanni