Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. - Giorgia Franchini; Paolo Burgio; Luca Zanni (ISDA (2), 2018)

Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. - Giorgia Franchini; Mathilde Galinier; Micaela Verucchi (INNSBDDL, 2019)

On the Steplength Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (LOD (2), 2020)

Ritz-like values in steplength selections for stochastic gradient methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (Soft Comput., 2020)

All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. - Carmelo Scribano; Davide Sapienza; Giorgia Franchini; Micaela Verucchi; Marko Bertogna (CVPR Workshops, 2021)

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. - Pasquale Cascarano; Andrea Sebastiani; Maria Colomba Comes; Giorgia Franchini; Federica Porta (ICCSA (Workshops), 2021)

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Ilaria Trombini (LOD, 2021)

Learning the Image Prior by Unrolling an Optimization Method. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (EUSIPCO, 2022)

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. - Giorgia Franchini; Micaela Verucchi; Ambra Catozzi; Federica Porta; Marco Prato (Algorithms, 2022)

CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning. - Carmelo Scribano; Giorgia Franchini; Ignacio Sañudo Olmedo; Marko Bertogna (CoRR, 2022)

Explainable bilevel optimization: an application to the Helsinki deblur challenge. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (CoRR, 2022)

Deep Image Prior for medical image denoising, a study about parameter initialization. - Davide Sapienza; Giorgia Franchini; Elena Govi; Marko Bertogna; Marco Prato (Frontiers Appl. Math. Stat., 2022)

Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. - Paolo Bertellini; Gianluca D'Addese; Giorgia Franchini; Simone Parisi; Carmelo Scribano; Daniele Zanirato; Marko Bertogna (FedCSIS, 2023)

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (NUMTA (1), 2023)

A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. - Matteo Magnani; Giorgia Franchini; Mauro Dell'Amico; Luca Zanni (NUMTA (1), 2023)

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (OLA, 2023)

Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. - Alessio Masola; Nicola Capodieci; Benjamin Rouxel; Giorgia Franchini; Roberto Cavicchioli (RTCSA, 2023)

Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. - Alessandro Benfenati; Ambra Catozzi; Giorgia Franchini; Federica Porta (SSVM, 2023)

Denoising Diffusion Models on Model-Based Latent Space. - Carmelo Scribano; Danilo Pezzi; Giorgia Franchini; Marco Prato (Algorithms, 2023)

Constrained and unconstrained deep image prior optimization models with automatic regularization. - Pasquale Cascarano; Giorgia Franchini; Erich Kobler; Federica Porta; Andrea Sebastiani (Comput. Optim. Appl., 2023)

Model-Based Underwater 6D Pose Estimation from RGB. - Davide Sapienza; Elena Govi; Sara Aldhaheri; Giorgia Franchini; Marko Bertogna; Eloy Roura; Èric Pairet; Micaela Verucchi; Paola Ardón (CoRR, 2023)

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. - Elena Govi; Davide Sapienza; Carmelo Scribano; Tobia Poppi; Giorgia Franchini; Paola Ardón; Micaela Verucchi; Marko Bertogna (CoRR, 2023)

Majorization-Minimization for sparse SVMs. - Alessandro Benfenati; Emilie Chouzenoux; Giorgia Franchini; Salla Latva-Aijo; Dominik Narnhofer; Jean-Christophe Pesquet; Sebastian J. Scott; Mahsa Yousefi (CoRR, 2023)

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini (J. Sci. Comput., 2023)

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. - Carmelo Scribano; Giorgia Franchini; Marco Prato; Marko Bertogna (J. Sci. Comput., 2023)

Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini (J. Sci. Comput., 2023)

A variable metric proximal stochastic gradient method: An application to classification problems. - Pasquale Cascarano; Giorgia Franchini; Erich Kobler; Federica Porta; Andrea Sebastiani (EURO J. Comput. Optim., 2024)

A stochastic gradient method with variance control and variable learning rate for Deep Learning. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (J. Comput. Appl. Math., 2024)

Computing p th root of a transition matrix with a deep unsupervised learning approach. - Filippo Camellini; Giorgia Franchini; Marco Prato (Int. J. Comput. Math., 2025)

Linesearch-Enhanced Forward-Backward Methods for Inexact Nonconvex Scenarios. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (SIAM J. Imaging Sci., 2025)

Early stopping strategies in Deep Image Prior. - Alessandro Benfenati; Ambra Catozzi; Giorgia Franchini; Federica Porta (Soft Comput., 2025)

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. - Carmelo Scribano; Elena Govi; Paolo Bertellini; Simone Parisi; Giorgia Franchini; Marko Bertogna (CoRR, 2025)

A line-search based SGD algorithm with Adaptive Importance Sampling. - Filippo Camellini; Serena Crisci; Anna De Magistris; Giorgia Franchini (J. Comput. Appl. Math., 2026)