Monica Bianchini

According to our database, Monica Bianchini authored at least 92 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., July, 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, February, 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 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

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses.

Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini, Marco Maggini, Marco Gori

CoRR, 2024

VC dimension of Graph Neural Networks with Pfaffian activation functions.

Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli

CoRR, 2024

The Expressive Power of Path-Based Graph Neural Networks.

Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

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

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

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

Deep learning techniques for biomedical data processing.

Monica Bianchini, Giovanna Maria Dimitri

Intell. Decis. Technol., 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 Text Generation to Support Augmentative and Alternative Communication.

Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

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

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

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

On Inductive-Transductive Learning With Graph Neural Networks.

Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli

IEEE Trans. Pattern Anal. Mach. Intell., 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

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

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

Structural bioinformatics survey on disease-inducing missense mutations.

Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai

J. Bioinform. Comput. Biol., 2021

Molecular generative Graph Neural Networks for Drug Discovery.

Pietro Bongini, Monica Bianchini, Franco Scarselli

Neurocomputing, 2021

A unifying point of view on expressive power of GNNs.

Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli

CoRR, 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

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Complex Data: Learning Trustworthily, Automatically, and with Guarantees.

Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Modelling Taxi Drivers' Behaviour for the Next Destination Prediction.

Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri

IEEE Trans. Intell. Transp. Syst., 2020

Weak supervision for generating pixel-level annotations in scene text segmentation.

Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini

Pattern Recognit. Lett., 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

Molecular graph generation with Graph Neural Networks.

Pietro Bongini, Monica Bianchini, Franco Scarselli

CoRR, 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

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

Robust Prostate Cancer Classification with Siamese Neural Networks.

Alberto Rossi, Monica Bianchini, Franco Scarselli

Proceedings of the Advances in Visual Computing - 15th International Symposium, 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

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

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

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Glycine-induced formation and druggability score prediction of protein surface pockets.

Pietro Bongini, Neri Niccolai, Monica Bianchini

J. Bioinform. Comput. Biol., 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

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 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

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation.

Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Understanding Human Sleep Behaviour by Machine Learning.

Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini

Proceedings of the Cognitive Infocommunications, Theory and Applications, 2019

2018

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction.

Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri

CoRR, 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, Andrea Bernini, Barbara Marzocchi, Monica Bianchini, Andrea Zugarini, Alberto Rossi, Matteo Zazzeri, Alfonso Trezza, Bruno Frediani, Lakshminarayan Ranganath, Daniela Braconi, Annalisa Santucci

Comput. Biol. Medicine, 2018

A Deep Learning Approach to Bacterial Colony Segmentation.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Inductive-Transductive Learning with Graph Neural Networks.

Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning.

Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2016

Automatic image classification for the urinoculture screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci

Comput. Biol. Medicine, 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

Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 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

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 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

Proceedings of the 7th IEEE International Conference on Cognitive Infocommunications, 2016

A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks.

Monica Bianchini, Anas Belahcen, Franco Scarselli

Proceedings of the AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29, 2016

2015

Web Spam Detection Using Transductive(Inductive Graph Neural Networks.

Anas Belahcen, Monica Bianchini, Franco Scarselli

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Automatic Image Classification for the Urinoculture Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa

Proceedings of the Intelligent Decision Technologies, 2015

Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

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

On the complexity of shallow and deep neural network classifiers.

Monica Bianchini, Franco Scarselli

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Supervised Neural Network Models for Processing Graphs.

Monica Bianchini, Marco Maggini

Proceedings of the Handbook on Neural Information Processing, 2013

2010

Learning long-term dependencies using layered graph neural networks.

Niccoló Bandinelli, Monica Bianchini, Franco Scarselli

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Advances in Neural Information Processing Paradigms.

Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Pattern recognition in graphical domains.

Monica Bianchini, Franco Scarselli

Neurocomputing, 2009

Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey.

Monica Bianchini, Franco Scarselli

Proceedings of the Multimedia Techniques for Device and Ambient Intelligence, 2009

2008

A Neural Network Approach for Learning Object Ranking.

Leonardo Rigutini, Tiziano Papini, Marco Maggini, Monica Bianchini

Proceedings of the Artificial Neural Networks, 2008

A Neural Network Approach to Similarity Learning.

Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Cyclostationary Neural Networks for Air Pollutant Concentration Prediction.

Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2006

Recursive processing of cyclic graphs.

Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli

IEEE Trans. Neural Networks, 2006

Object Recognition Using Multiresolution Trees.

Monica Bianchini, Marco Maggini, Lorenzo Sarti

Proceedings of the Structural, 2006

Object Localization Using Input/Output Recursive Neural Networks.

Monica Bianchini, Marco Maggini, Lorenzo Sarti

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Cyclostationary Neural Network model for the prediction of the NO2 concentration.

Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

An Eye Detection System Based on Neural Autoassociators.

Monica Bianchini, Lorenzo Sarti

Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005

Inside PageRank.

Monica Bianchini, Marco Gori, Franco Scarselli

ACM Trans. Internet Techn., 2005

Recursive neural networks learn to localize faces.

Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli

Pattern Recognit. Lett., 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 and Graphs: Dealing with Cycles.

Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli

Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

2004

Recursive networks for processing graphs with labelled edges.

Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Face Localization with Recursive Neural Networks.

Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli

Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

PageRank and Web Communities.

Monica Bianchini, Marco Gori, Franco Scarselli

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

BackPropagation through Cyclic Structures.

Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2001

Processing directed acyclic graphs with recursive neural networks.

Monica Bianchini, Marco Gori, Franco Scarselli

IEEE Trans. Neural Networks, 2001

Theoretical properties of recursive neural networks with linear neurons.

Monica Bianchini, Marco Gori

IEEE Trans. Neural Networks, 2001

Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations.

Monica Bianchini, Stefano Fanelli, Marco Gori

IEEE Trans. Computers, 2001

Recursive Processing of Directed Acyclic Graphs.

Monica Bianchini, Marco Gori, Franco Scarselli

Proceedings of the 12th Italian Workshop on Neural Nets, 2001

2000

Computational capabilities of linear recursive networks.

Monica Bianchini, Marco Gori, Franco Scarselli

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1998

An Application of ELISA to Perfect Hashing with Deterministic Ordering.

Monica Bianchini, Stefano Fanelli, Marco Gori

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Terminal attractor algorithms: A critical analysis.

Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Maggini

Neurocomputing, 1997

Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent.

Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996

Optimal learning in artificial neural networks: A review of theoretical results.

Monica Bianchini, Marco Gori

Neurocomputing, 1996

1995

Learning without local minima in radial basis function networks.

Monica Bianchini, Paolo Frasconi, Marco Gori

IEEE Trans. Neural Networks, 1995

Learning in multilayered networks used as autoassociators.

Monica Bianchini, Paolo Frasconi, Marco Gori

IEEE Trans. Neural Networks, 1995

1994

On the problem of local minima in recurrent neural networks.

Monica Bianchini, Marco Gori, Marco Maggini

IEEE Trans. Neural Networks, 1994