On the problem of local minima in recurrent neural networks. - Monica Bianchini; Marco Gori; Marco Maggini (IEEE Trans. Neural Networks, 1994)

Learning in multilayered networks used as autoassociators. - Monica Bianchini; Paolo Frasconi; Marco Gori (IEEE Trans. Neural Networks, 1995)

Learning without local minima in radial basis function networks. - Monica Bianchini; Paolo Frasconi; Marco Gori (IEEE Trans. Neural Networks, 1995)

Optimal learning in artificial neural networks: A review of theoretical results. - Monica Bianchini; Marco Gori (Neurocomputing, 1996)

Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. - Monica Bianchini; Stefano Fanelli; Marco Gori; Marco Protasi (ICONIP (1), 1997)

Terminal attractor algorithms: A critical analysis. - Monica Bianchini; Stefano Fanelli; Marco Gori; Marco Maggini (Neurocomputing, 1997)

An Application of ELISA to Perfect Hashing with Deterministic Ordering. - Monica Bianchini; Stefano Fanelli; Marco Gori (ICONIP, 1998)

Computational capabilities of linear recursive networks. - Monica Bianchini; Marco Gori; Franco Scarselli (KES, 2000)

Recursive Processing of Directed Acyclic Graphs. - Monica Bianchini; Marco Gori; Franco Scarselli (WIRN, 2001)

Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations. - Monica Bianchini; Stefano Fanelli; Marco Gori (IEEE Trans. Computers, 2001)

Theoretical properties of recursive neural networks with linear neurons. - Monica Bianchini; Marco Gori (IEEE Trans. Neural Networks, 2001)

Processing directed acyclic graphs with recursive neural networks. - Monica Bianchini; Marco Gori; Franco Scarselli (IEEE Trans. Neural Networks, 2001)

BackPropagation through Cyclic Structures. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (AI*IA, 2003)

PageRank and Web Communities. - Monica Bianchini; Marco Gori; Franco Scarselli (Web Intelligence, 2003)

Face Localization with Recursive Neural Networks. - Monica Bianchini; Marco Gori; Paolo Mazzoni; Lorenzo Sarti; Franco Scarselli (WIRN, 2003)

Recursive networks for processing graphs with labelled edges. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (ESANN, 2004)

Recursive neural networks for object detection. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (IJCNN, 2004)

Recursive Neural Networks and Graphs: Dealing with Cycles. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (WIRN/NAIS, 2005)

Recursive neural networks for processing graphs with labelled edges: theory and applications. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (Neural Networks, 2005)

Recursive neural networks learn to localize faces. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (Pattern Recognit. Lett., 2005)

Inside PageRank. - Monica Bianchini; Marco Gori; Franco Scarselli (ACM Trans. Internet Techn., 2005)

An Eye Detection System Based on Neural Autoassociators. - Monica Bianchini; Lorenzo Sarti (ANNPR, 2006)

A Cyclostationary Neural Network model for the prediction of the NO2 concentration. - Monica Bianchini; Ernesto Di Iorio; Marco Maggini; Chiara Mocenni; Augusto Pucci (ESANN, 2006)

Object Localization Using Input/Output Recursive Neural Networks. - Monica Bianchini; Marco Maggini; Lorenzo Sarti (ICPR (3), 2006)

Object Recognition Using Multiresolution Trees. - Monica Bianchini; Marco Maggini; Lorenzo Sarti (SSPR/SPR, 2006)

Recursive processing of cyclic graphs. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (IEEE Trans. Neural Networks, 2006)

Cyclostationary Neural Networks for Air Pollutant Concentration Prediction. - Monica Bianchini; Ernesto Di Iorio; Marco Maggini; Augusto Pucci (ANNPR, 2008)

A Neural Network Approach to Similarity Learning. - Stefano Melacci; Lorenzo Sarti; Marco Maggini; Monica Bianchini (ANNPR, 2008)

A Neural Network Approach for Learning Object Ranking. - Leonardo Rigutini; Tiziano Papini; Marco Maggini; Monica Bianchini (ICANN (2), 2008)

Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. - Monica Bianchini; Franco Scarselli (Multimedia Techniques for Device and Ambient Intelligence, 2009)

Pattern recognition in graphical domains. - Monica Bianchini; Franco Scarselli (Neurocomputing, 2009)

Advances in Neural Information Processing Paradigms. - Monica Bianchini; Marco Maggini; Franco Scarselli; Lakhmi C. Jain (Innovations in Neural Information Paradigms and Applications, 2009)

Learning long-term dependencies using layered graph neural networks. - Niccoló Bandinelli; Monica Bianchini; Franco Scarselli (IJCNN, 2010)

Supervised Neural Network Models for Processing Graphs. - Monica Bianchini; Marco Maggini (Handbook on Neural Information Processing, 2013)

On the complexity of shallow and deep neural network classifiers. - Monica Bianchini; Franco Scarselli (ESANN, 2014)

On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. - Monica Bianchini; Franco Scarselli (IEEE Trans. Neural Networks Learn. Syst., 2014)

Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Vincenzo Di Massa (ICIAP (1), 2015)

Automatic Image Classification for the Urinoculture Screening. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Vincenzo Di Massa (KES-IDT, 2015)

Web Spam Detection Using Transductive(Inductive Graph Neural Networks. - Anas Belahcen; Monica Bianchini; Franco Scarselli (Advances in Neural Networks, 2015)

A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. - Monica Bianchini; Anas Belahcen; Franco Scarselli (AI*IA, 2016)

An unobtrusive sleep monitoring system for the human sleep behaviour understanding. - Paolo Barsocchi; Monica Bianchini; Antonino Crivello; Davide La Rosa; Filippo Palumbo; Franco Scarselli (CogInfoCom, 2016)

Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization. - Jacopo Acquarelli; Monica Bianchini; Elena Marchiori (EvoApplications (1), 2016)

ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Andrea Garzelli; Alessandro Mecocci (ICPRAM, 2016)

Extraction of High Level Visual Features for the Automatic Recognition of UTIs. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Andrea Baghini; Giovanni Bianchi; Francesco Guerri; Angelo Galano; Alessandro Mecocci; Guendalina Vaggelli (WILF, 2016)

Automatic image classification for the urinoculture screening. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Andrea Garzelli; Alessandro Mecocci (Comput. Biol. Medicine, 2016)

Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. - Simone Bonechi; Paolo Andreini; Monica Bianchini; Franco Scarselli (ANNPR, 2018)

Inductive-Transductive Learning with Graph Neural Networks. - Alberto Rossi; Matteo Tiezzi; Giovanna Maria Dimitri; Monica Bianchini; Marco Maggini; Franco Scarselli (ANNPR, 2018)

A Deep Learning Approach to Bacterial Colony Segmentation. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Franco Scarselli (ICANN (3), 2018)

A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria. - Ottavia Spiga; Vittoria Cicaloni; Andrea Zatkova; Lia Millucci; Giulia Bernardini 003; Andrea Bernini; Barbara Marzocchi; Monica Bianchini; Andrea Zugarini; Alberto Rossi; Matteo Zazzeri; Alfonso Trezza; et al. (Comput. Biol. Medicine, 2018)

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction. - Alberto Rossi; Gianni Barlacchi; Monica Bianchini; Bruno Lepri (CoRR, 2018)

Understanding Human Sleep Behaviour by Machine Learning. - Antonino Crivello; Filippo Palumbo; Paolo Barsocchi; Davide La Rosa; Franco Scarselli; Monica Bianchini (Cognitive Infocommunications, Theory and Applications, 2019)

COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. - Simone Bonechi; Paolo Andreini; Monica Bianchini; Franco Scarselli (ICANN (3), 2019)

Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. - Simone Bonechi; Monica Bianchini; Pietro Bongini; Giorgio Ciano; Giorgia Giacomini; Riccardo Rosai; Linda Tognetti; Alberto Rossi; Paolo Andreini (ICIAP Workshops, 2019)

Analysis of brain NMR images for age estimation with deep learning. - Alberto Rossi; Gioele Vannuccini; Paolo Andreini; Simone Bonechi; Giorgia Giacomini; Franco Scarselli; Monica Bianchini (KES, 2019)

A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Franco Scarselli; Andrea Sodi (CoRR, 2019)

Glycine-induced formation and druggability score prediction of protein surface pockets. - Pietro Bongini; Neri Niccolai; Monica Bianchini (J. Bioinform. Comput. Biol., 2019)

Graph Neural Networks for the Prediction of Protein-Protein Interfaces. - Niccolò Pancino; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Simone Bonechi; Paolo Andreini; Franco Scarselli; Monica Bianchini; Pietro Bongini (ESANN, 2020)

Deep Learning Techniques for Dragonfly Action Recognition. - Martina Monaci; Niccolò Pancino; Paolo Andreini; Simone Bonechi; Pietro Bongini; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Franco Scarselli; Monica Bianchini (ICPRAM, 2020)

Robust Prostate Cancer Classification with Siamese Neural Networks. - Alberto Rossi; Monica Bianchini; Franco Scarselli (ISVC (2), 2020)

AKUImg: A database of cartilage images of Alkaptonuria patients. - Alberto Rossi; Giorgia Giacomini; Vittoria Cicaloni; Silvia Galderisi; Maria Serena Milella; Andrea Bernini; Lia Millucci; Ottavia Spiga; Monica Bianchini; Annalisa Santucci (Comput. Biol. Medicine, 2020)

Image generation by GAN and style transfer for agar plate image segmentation. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Franco Scarselli (Comput. Methods Programs Biomed., 2020)

Molecular graph generation with Graph Neural Networks. - Pietro Bongini; Monica Bianchini; Franco Scarselli (CoRR, 2020)

A deep attention network for predicting amino acid signals in the formation of α-helices. - Anna Visibelli; Pietro Bongini; Alberto Rossi; Neri Niccolai; Monica Bianchini (J. Bioinform. Comput. Biol., 2020)

Weak supervision for generating pixel-level annotations in scene text segmentation. - Simone Bonechi; Monica Bianchini; Franco Scarselli; Paolo Andreini (Pattern Recognit. Lett., 2020)

Modelling Taxi Drivers' Behaviour for the Next Destination Prediction. - Alberto Rossi; Gianni Barlacchi; Monica Bianchini; Bruno Lepri (IEEE Trans. Intell. Transp. Syst., 2020)

Complex Data: Learning Trustworthily, Automatically, and with Guarantees. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Alessandro Sperduti (ESANN, 2021)

Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (I2MTC, 2021)

A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. - Giorgio Ciano; Paolo Andreini; Tommaso Mazzierli; Monica Bianchini; Franco Scarselli (CoRR, 2021)

A unifying point of view on expressive power of GNNs. - Giuseppe Alessio D'Inverno; Monica Bianchini; Maria Lucia Sampoli; Franco Scarselli (CoRR, 2021)

Molecular generative Graph Neural Networks for Drug Discovery. - Pietro Bongini; Monica Bianchini; Franco Scarselli (Neurocomputing, 2021)

Structural bioinformatics survey on disease-inducing missense mutations. - Pietro Bongini; Simone Gardini; Monica Bianchini; Ottavia Spiga; Neri Niccolai (J. Bioinform. Comput. Biol., 2021)

Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. - Alberto Rossi; Matin Hosseinzadeh; Monica Bianchini; Franco Scarselli; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2021)

A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. - Giorgia Giacomini; Caterina Graziani; Veronica Lachi; Pietro Bongini; Niccolò Pancino; Monica Bianchini; Davide Chiarugi; Angelo Valleriani; Paolo Andreini (Algorithms, 2022)

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Luca Demetrio; Pietro Bongini; Armando Tacchella; Alessandro Sperduti (Neurocomputing, 2022)

On Inductive-Transductive Learning With Graph Neural Networks. - Giorgio Ciano; Alberto Rossi; Monica Bianchini; Franco Scarselli (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. - Niccolò Pancino; Pietro Bongini; Franco Scarselli; Monica Bianchini (SoftwareX, 2022)

Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. - Pietro Bongini; Neri Niccolai; Alfonso Trezza; Guido Mangiavacchi; Annalisa Santucci; Ottavia Spiga; Monica Bianchini; Simone Gardini (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (IEEE Trans. Instrum. Meas., 2022)

A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. - Elia Landi; Filippo Spinelli; Matteo Intravaia; Marco Mugnaini; Ada Fort; Monica Bianchini; Barbara Toniella Corradini; Franco Scarselli; Marco Tanfoni (I2MTC, 2023)

Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication. - Alessia Lucia Prete; David Landi; Paolo Andreini; Monica Bianchini (MetroXRAINE, 2023)

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. - Veronica Lachi; Giovanna Maria Dimitri; Alessandro Di Stefano; Pietro Liò; Monica Bianchini; Chiara Mocenni (CoRR, 2023)

Deep learning techniques for biomedical data processing. - Monica Bianchini; Giovanna Maria Dimitri (Intell. Decis. Technol., 2023)

A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. - Pietro Bongini; Elisa Messori; Niccolò Pancino; Monica Bianchini (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. - Pietro Bongini; Franco Scarselli; Monica Bianchini; Giovanna Maria Dimitri; Niccolò Pancino; Pietro Lió (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. - Antonio Longa; Veronica Lachi; Gabriele Santin; Monica Bianchini; Bruno Lepri; Pietro Lio; Franco Scarselli; Andrea Passerini (Trans. Mach. Learn. Res., 2023)

A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems. - Sara Marziali; Giacomo Nunziati; Alessia Lucia Prete; Neri Niccolai; Sara Brunetti; Monica Bianchini (DGMM, 2024)

The Expressive Power of Path-Based Graph Neural Networks. - Caterina Graziani; Tamara Drucks; Fabian Jogl; Monica Bianchini; Franco Scarselli; Thomas Gärtner 001 (ICML, 2024)

NeuraGED: A GNN estimation for Graph-Edit Distance. - Sara Bacconi; Filippo Costanti; Monica Bianchini; Niccolò Pancino; Pietro Bongini (KES, 2024)

Facial Segmentation in Deepfake Classification: a Transfer Learning Approach. - Marco Tanfoni; Elia Giuseppe Ceroni; Niccolò Pancino; Monica Bianchini; Marco Maggini (KES, 2024)

LSTM-based Siamese Networks for Fault Detection in Meteorological Time Series Data. - Filippo Costanti; Irene Cappelli; Ada Fort; Elia Giuseppe Ceroni; Monica Bianchini (MetroXRAINE, 2024)

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses. - Kamyar Zeinalipour; Neda Jamshidi; Monica Bianchini; Marco Maggini; Marco Gori (CoRR, 2024)

A topological description of loss surfaces based on Betti Numbers. - Maria Sofia Bucarelli; Giuseppe Alessio D'Inverno; Monica Bianchini; Franco Scarselli; Fabrizio Silvestri (Neural Networks, 2024)

SADIC v2: A modern implementation of the Simple Atom Depth Index Calculator. - Sara Marziali; Giacomo Nunziati; Alessia Lucia Prete; Neri Niccolai; Monica Bianchini (SoftwareX, 2024)

A Mobile App for Detecting Potato Crop Diseases. - Dunia Pineda Medina; Ileana Miranda Cabrera; Rolisbel Alfonso de la Cruz; Lizandra Guerra Arzuaga; Sandra Cuello Portal; Monica Bianchini (J. Imaging, 2024)

On the approximation capability of GNNs in node classification/regression tasks. - Giuseppe Alessio D'Inverno; Monica Bianchini; Maria Lucia Sampoli; Franco Scarselli (Soft Comput., 2024)

PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian. - Kamyar Zeinalipour; Neda Jamshidi; Fahimeh Akbari; Marco Maggini; Monica Bianchini; Marco Gori (COLING Workshops, 2025)

A smart virtual keyboard to improve communication of locked-in patients. - Alessia Lucia Prete; Paolo Andreini; Simone Bonechi; Monica Bianchini (Comput. Stand. Interfaces, 2025)

MOLGMP: A Markov approach for molecular graph generation with GNNs. - Benoit Goupil; Antonin Joly; Niccolò Pancino; Pietro Bongini; Franco Scarselli; Monica Bianchini (Neurocomputing, 2025)

VC dimension of Graph Neural Networks with Pfaffian activation functions. - Giuseppe Alessio D'Inverno; Monica Bianchini; Franco Scarselli (Neural Networks, 2025)