Monica Bianchini

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 57

Top Topics

Discrete Geometry

Cancer Classification

Image Generation

Top Venues

Comput. Biol. Medicine

J. Bioinform. Comput. Biol.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
On the approximation capability of GNNs in node classification/regression tasks. Soft Comput. 28 (13-14) (2024)
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
A topological description of loss surfaces based on Betti Numbers. CoRR (2024)
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR (2024)
Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Monica Bianchini
SADIC v2: A modern implementation of the Simple Atom Depth Index Calculator. SoftwareX 27 (2024)
Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Sara Brunetti, Monica Bianchini
A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems. DGMM (2024)
Dunia Pineda Medina, Ileana Miranda Cabrera, Rolisbel Alfonso de la Cruz, Lizandra Guerra Arzuaga, Sandra Cuello Portal, Monica Bianchini
A Mobile App for Detecting Potato Crop Diseases. J. Imaging 10 (2) (2024)
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
A topological description of loss surfaces based on Betti Numbers. Neural Networks 178 (2024)
Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR (2023)
Elia Landi, Filippo Spinelli, Matteo Intravaia, Marco Mugnaini, Ada Fort, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli, Marco Tanfoni
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. I2MTC (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023)
Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini
Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication. MetroXRAINE (2023)
Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Monica Bianchini, Giovanna Maria Dimitri
Deep learning techniques for biomedical data processing. Intell. Decis. Technol. 17 (1) (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR (2023)
Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli
On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini
Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. IEEE Trans. Instrum. Meas. 71 (2022)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493 (2022)
Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
Modular multi-source prediction of drug side-effects with DruGNN. CoRR (2022)
Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms 15 (8) (2022)
Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX 18 (2022)
Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. CoRR (2022)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN (2021)
Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman
Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. IEEE Trans. Medical Imaging 40 (3) (2021)
Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. CoRR (2021)
Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai
Structural bioinformatics survey on disease-inducing missense mutations. J. Bioinform. Comput. Biol. 19 (3) (2021)
Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
A unifying point of view on expressive power of GNNs. CoRR (2021)
Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. I2MTC (2021)
Pietro Bongini, Monica Bianchini, Franco Scarselli
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450 (2021)
Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM (2020)
Alberto Rossi, Monica Bianchini, Franco Scarselli
Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) (2020)
Anna Visibelli, Pietro Bongini, Alberto Rossi, Neri Niccolai, Monica Bianchini
A deep attention network for predicting amino acid signals in the formation of α-helices. J. Bioinform. Comput. Biol. 18 (5) (2020)
Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini
Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN (2020)
Pietro Bongini, Monica Bianchini, Franco Scarselli
Molecular graph generation with Graph Neural Networks. CoRR (2020)
Alberto Rossi, Giorgia Giacomini, Vittoria Cicaloni, Silvia Galderisi, Maria Serena Milella, Andrea Bernini, Lia Millucci, Ottavia Spiga, Monica Bianchini, Annalisa Santucci
AKUImg: A database of cartilage images of Alkaptonuria patients. Comput. Biol. Medicine 122 (2020)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
Image generation by GAN and style transfer for agar plate image segmentation. Comput. Methods Programs Biomed. 184 (2020)
Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
Modelling Taxi Drivers' Behaviour for the Next Destination Prediction. IEEE Trans. Intell. Transp. Syst. 21 (7) (2020)
Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini
Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. 138 (2020)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. ICANN (3) (2019)
Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
Analysis of brain NMR images for age estimation with deep learning. KES (2019)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. CoRR (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR (2019)
Pietro Bongini, Neri Niccolai, Monica Bianchini
Glycine-induced formation and druggability score prediction of protein surface pockets. J. Bioinform. Comput. Biol. 17 (5) (2019)
Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR (2018)
Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli
Inductive-Transductive Learning with Graph Neural Networks. ANNPR (2018)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) (2018)
Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction. CoRR (2018)
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
A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria. Comput. Biol. Medicine 103 (2018)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, Guendalina Vaggelli
Extraction of High Level Visual Features for the Automatic Recognition of UTIs. WILF (2016)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci
Automatic image classification for the urinoculture screening. Comput. Biol. Medicine 70 (2016)
Monica Bianchini, Anas Belahcen, Franco Scarselli
A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA (2016)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci
ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. ICPRAM (2016)
Paolo Barsocchi, Monica Bianchini, Antonino Crivello, Davide La Rosa, Filippo Palumbo, Franco Scarselli
An unobtrusive sleep monitoring system for the human sleep behaviour understanding. CogInfoCom (2016)
Jacopo Acquarelli, Monica Bianchini, Elena Marchiori
Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization. EvoApplications (1) (2016)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa
Automatic Image Classification for the Urinoculture Screening. KES-IDT (2015)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. ICIAP (1) (2015)
Monica Bianchini, Franco Scarselli
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Monica Bianchini, Franco Scarselli
On the complexity of shallow and deep neural network classifiers. ESANN (2014)
Niccoló Bandinelli, Monica Bianchini, Franco Scarselli
Learning long-term dependencies using layered graph neural networks. IJCNN (2010)
Monica Bianchini, Franco Scarselli
Pattern recognition in graphical domains. Neurocomputing 73 (1-3) (2009)
Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction. ANNPR (2008)
Leonardo Rigutini, Tiziano Papini, Marco Maggini, Monica Bianchini
A Neural Network Approach for Learning Object Ranking. ICANN (2) (2008)
Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini
A Neural Network Approach to Similarity Learning. ANNPR (2008)
Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci
A Cyclostationary Neural Network model for the prediction of the NO2 concentration. ESANN (2006)
Monica Bianchini, Lorenzo Sarti
An Eye Detection System Based on Neural Autoassociators. ANNPR (2006)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17 (1) (2006)
Monica Bianchini, Marco Maggini, Lorenzo Sarti
Object Recognition Using Multiresolution Trees. SSPR/SPR (2006)
Monica Bianchini, Marco Maggini, Lorenzo Sarti
Object Localization Using Input/Output Recursive Neural Networks. ICPR (3) (2006)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks 18 (8) (2005)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS (2005)
Monica Bianchini, Marco Gori, Franco Scarselli
Inside PageRank. ACM Trans. Internet Techn. 5 (1) (2005)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive neural networks learn to localize faces. Pattern Recognit. Lett. 26 (12) (2005)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive networks for processing graphs with labelled edges. ESANN (2004)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
BackPropagation through Cyclic Structures. AI*IA (2003)
Monica Bianchini, Marco Gori, Franco Scarselli
PageRank and Web Communities. Web Intelligence (2003)
Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli
Face Localization with Recursive Neural Networks. WIRN (2003)
Monica Bianchini, Stefano Fanelli, Marco Gori
Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations. IEEE Trans. Computers 50 (7) (2001)
Monica Bianchini, Marco Gori, Franco Scarselli
Recursive Processing of Directed Acyclic Graphs. WIRN (2001)
Monica Bianchini, Marco Gori
Theoretical properties of recursive neural networks with linear neurons. IEEE Trans. Neural Networks 12 (5) (2001)
Monica Bianchini, Marco Gori, Franco Scarselli
Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks 12 (6) (2001)
Monica Bianchini, Marco Gori, Franco Scarselli
Computational capabilities of linear recursive networks. KES (2000)
Monica Bianchini, Stefano Fanelli, Marco Gori
An Application of ELISA to Perfect Hashing with Deterministic Ordering. ICONIP (1998)
Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi
Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. ICONIP (1) (1997)
Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Maggini
Terminal attractor algorithms: A critical analysis. Neurocomputing 15 (1) (1997)
Monica Bianchini, Marco Gori
Optimal learning in artificial neural networks: A review of theoretical results. Neurocomputing 13 (2-4) (1996)
Monica Bianchini, Paolo Frasconi, Marco Gori
Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Networks 6 (2) (1995)
Monica Bianchini, Paolo Frasconi, Marco Gori
Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks 6 (3) (1995)
Monica Bianchini, Marco Gori, Marco Maggini
On the problem of local minima in recurrent neural networks. IEEE Trans. Neural Networks 5 (2) (1994)