Monica Bianchini

115 papers A* 1B 12C 2Journal 59Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging synthetic data for zero-shot and few-shot circle detection in real-world domains. Pattern Recognit. Paolo Andreini, Marco Tanfoni, Simone Bonechi, Monica Bianchini
2026	J	`jnl`	Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach. CoRR Paolo Andreini, Alessandra Bernardi, Monica Bianchini, Barbara Toniella Corradini, Sara Marziali, Giacomo Nunziati, Franco Scarselli
2026	J	`jnl`	Training dynamics of GANs through the lens of persistent homology. Neurocomputing Barbara Toniella Corradini, Ben Cullen, Caterina Gallegati, Sara Marziali, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2025	—	`conf`	A Deep Learning Approach for Nystagmus Recognition in RGB Videos. MetroXRAINE Giacomo Nunziati, Andrea Porri, Paolo Andreini, Simone Bonechi, Monica Bianchini, Rudi Pecci, Mattia Ronchetti, Franco Scarselli, Simone Vanni
2025	J	`jnl`	A smart virtual keyboard to improve communication of locked-in patients. Comput. Stand. Interfaces Alessia Lucia Prete, Paolo Andreini, Simone Bonechi, Monica Bianchini
2025	—	`conf`	Efficient Single-Lead ECG Analysis System with Multi-Lead Reconstruction. MetroXRAINE Elia Giuseppe Ceroni, Paolo Andreini, Monica Bianchini
2025	—	`conf`	FarSense: A Comprehensive Commonsense Benchmark and Evaluation Framework for the Farsi Language. IJCNLP-AACL (long papers) Kamyar Zeinalipour, Neda Jamshidi, Seyedehbahareh Hejazi, Marco Maggini, Monica Bianchini, Simone Paoletti, Marco Gori
2025	—	`conf`	Foliar Wetness Prediction Using Sensor Network Data and WaveNet-Based Deep Learning Models. MetroXRAINE Filippo Costanti, Irene Cappelli, Elia Giuseppe Ceroni, Monica Bianchini, Ada Fort
2025	J	`jnl`	MOLGMP: A Markov approach for molecular graph generation with GNNs. Neurocomputing Benoit Goupil, Antonin Joly, Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2025	—	`conf`	PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian. COLING Workshops Kamyar Zeinalipour, Neda Jamshidi, Fahimeh Akbari, Marco Maggini, Monica Bianchini, Marco Gori
2025	J	`jnl`	VC dimension of Graph Neural Networks with Pfaffian activation functions. Neural Networks Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2024	—	`conf`	A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems. DGMM Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Sara Brunetti, Monica Bianchini
2024	J	`jnl`	A Mobile App for Detecting Potato Crop Diseases. J. Imaging Dunia Pineda Medina, Ileana Miranda Cabrera, Rolisbel Alfonso de la Cruz, Lizandra Guerra Arzuaga, Sandra Cuello Portal, Monica Bianchini
2024	J	`jnl`	A topological description of loss surfaces based on Betti Numbers. CoRR Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024	J	`jnl`	A topological description of loss surfaces based on Betti Numbers. Neural Networks Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024	J	`jnl`	Design Proteins Using Large Language Models: Enhancements and Comparative Analyses. CoRR Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini, Marco Maggini, Marco Gori
2024	B	`conf`	Facial Segmentation in Deepfake Classification: a Transfer Learning Approach. KES Marco Tanfoni, Elia Giuseppe Ceroni, Niccolò Pancino, Monica Bianchini, Marco Maggini
2024	—	`conf`	LSTM-based Siamese Networks for Fault Detection in Meteorological Time Series Data. MetroXRAINE Filippo Costanti, Irene Cappelli, Ada Fort, Elia Giuseppe Ceroni, Monica Bianchini
2024	B	`conf`	NeuraGED: A GNN estimation for Graph-Edit Distance. KES Sara Bacconi, Filippo Costanti, Monica Bianchini, Niccolò Pancino, Pietro Bongini
2024	J	`jnl`	On the approximation capability of GNNs in node classification/regression tasks. Soft Comput. Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
2024	J	`jnl`	SADIC v2: A modern implementation of the Simple Atom Depth Index Calculator. SoftwareX Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Monica Bianchini
2024	A*	`conf`	The Expressive Power of Path-Based Graph Neural Networks. ICML Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner
2024	J	`jnl`	VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2023	J	`jnl`	A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
2023	—	`conf`	A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. I2MTC Elia Landi, Filippo Spinelli, Matteo Intravaia, Marco Mugnaini, Ada Fort, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli, Marco Tanfoni
2023	—	`conf`	Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication. MetroXRAINE Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini
2023	J	`jnl`	Deep learning techniques for biomedical data processing. Intell. Decis. Technol. Monica Bianchini, Giovanna Maria Dimitri
2023	J	`jnl`	Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni
2023	J	`jnl`	Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
2022	J	`jnl`	A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. CoRR Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
2022	J	`jnl`	A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini
2022	J	`jnl`	GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2022	J	`jnl`	Modular multi-source prediction of drug side-effects with DruGNN. CoRR Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
2022	J	`jnl`	On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli
2022	J	`jnl`	Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. IEEE Trans. Instrum. Meas. Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
2022	J	`jnl`	Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2021	J	`jnl`	A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. CoRR Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli
2021	J	`jnl`	A unifying point of view on expressive power of GNNs. CoRR Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
2021	B	`conf`	Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
2021	J	`jnl`	Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing Pietro Bongini, Monica Bianchini, Franco Scarselli
2021	J	`jnl`	Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. IEEE Trans. Medical Imaging Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman
2021	—	`conf`	Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. I2MTC Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
2021	J	`jnl`	Structural bioinformatics survey on disease-inducing missense mutations. J. Bioinform. Comput. Biol. Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai
2020	J	`jnl`	A deep attention network for predicting amino acid signals in the formation of α-helices. J. Bioinform. Comput. Biol. Anna Visibelli, Pietro Bongini, Alberto Rossi, Neri Niccolai, Monica Bianchini
2020	J	`jnl`	AKUImg: A database of cartilage images of Alkaptonuria patients. Comput. Biol. Medicine Alberto Rossi, Giorgia Giacomini, Vittoria Cicaloni, Silvia Galderisi, Maria Serena Milella, Andrea Bernini, Lia Millucci, Ottavia Spiga, Monica Bianchini, Annalisa Santucci
2020	C	`conf`	Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
2020	B	`conf`	Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini
2020	J	`jnl`	Image generation by GAN and style transfer for agar plate image segmentation. Comput. Methods Programs Biomed. Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
2020	J	`jnl`	Modelling Taxi Drivers' Behaviour for the Next Destination Prediction. IEEE Trans. Intell. Transp. Syst. Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
2020	J	`jnl`	Molecular graph generation with Graph Neural Networks. CoRR Pietro Bongini, Monica Bianchini, Franco Scarselli
2020	—	`conf`	Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) Alberto Rossi, Monica Bianchini, Franco Scarselli
2020	J	`jnl`	Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini
2019	J	`jnl`	A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. CoRR Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi
2019	B	`conf`	Analysis of brain NMR images for age estimation with deep learning. KES Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
2019	—	`conf`	COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. ICANN (3) Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2019	J	`jnl`	COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2019	—	`conf`	Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini
2019	J	`jnl`	Glycine-induced formation and druggability score prediction of protein surface pockets. J. Bioinform. Comput. Biol. Pietro Bongini, Neri Niccolai, Monica Bianchini
2019	—	`ch.`	Understanding Human Sleep Behaviour by Machine Learning. Cognitive Infocommunications, Theory and Applications Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini
2019	J	`jnl`	Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2018	—	`conf`	A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
2018	J	`jnl`	A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria. Comput. Biol. Medicine 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
2018	—	`conf`	Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2018	—	`conf`	Inductive-Transductive Learning with Graph Neural Networks. ANNPR Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli
2018	J	`jnl`	Modeling Taxi Drivers' Behaviour for the Next Destination Prediction. CoRR Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
2016	—	`conf`	A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA Monica Bianchini, Anas Belahcen, Franco Scarselli
2016	C	`conf`	ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. ICPRAM Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci
2016	—	`conf`	An unobtrusive sleep monitoring system for the human sleep behaviour understanding. CogInfoCom Paolo Barsocchi, Monica Bianchini, Antonino Crivello, Davide La Rosa, Filippo Palumbo, Franco Scarselli
2016	J	`jnl`	Automatic image classification for the urinoculture screening. Comput. Biol. Medicine Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci
2016	—	`conf`	Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization. EvoApplications (1) Jacopo Acquarelli, Monica Bianchini, Elena Marchiori
2016	—	`conf`	Extraction of High Level Visual Features for the Automatic Recognition of UTIs. WILF Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, Guendalina Vaggelli
2015	—	`conf`	Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. ICIAP (1) Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa
2015	—	`conf`	Automatic Image Classification for the Urinoculture Screening. KES-IDT Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa
2015	—	`ch.`	Web Spam Detection Using Transductive(Inductive Graph Neural Networks. Advances in Neural Networks Anas Belahcen, Monica Bianchini, Franco Scarselli
2014	J	`jnl`	On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. IEEE Trans. Neural Networks Learn. Syst. Monica Bianchini, Franco Scarselli
2014	B	`conf`	On the complexity of shallow and deep neural network classifiers. ESANN Monica Bianchini, Franco Scarselli
2013	—	`book`	Handbook on Neural Information Processing Handbook on Neural Information Processing Monica Bianchini, Marco Maggini, Lakhmi C. Jain
2013	—	`ch.`	Supervised Neural Network Models for Processing Graphs. Handbook on Neural Information Processing Monica Bianchini, Marco Maggini
2010	B	`conf`	Learning long-term dependencies using layered graph neural networks. IJCNN Niccoló Bandinelli, Monica Bianchini, Franco Scarselli
2009	—	`ch.`	Advances in Neural Information Processing Paradigms. Innovations in Neural Information Paradigms and Applications Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain
2009	—	`ch.`	Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. Multimedia Techniques for Device and Ambient Intelligence Monica Bianchini, Franco Scarselli
2009	—	`book`	Innovations in Neural Information Paradigms and Applications Innovations in Neural Information Paradigms and Applications Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain
2009	J	`jnl`	Pattern recognition in graphical domains. Neurocomputing Monica Bianchini, Franco Scarselli
2008	—	`conf`	A Neural Network Approach for Learning Object Ranking. ICANN (2) Leonardo Rigutini, Tiziano Papini, Marco Maggini, Monica Bianchini
2008	—	`conf`	A Neural Network Approach to Similarity Learning. ANNPR Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini
2008	—	`conf`	Cyclostationary Neural Networks for Air Pollutant Concentration Prediction. ANNPR Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci
2006	B	`conf`	A Cyclostationary Neural Network model for the prediction of the NO2 concentration. ESANN Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci
2006	—	`conf`	An Eye Detection System Based on Neural Autoassociators. ANNPR Monica Bianchini, Lorenzo Sarti
2006	—	`conf`	Object Localization Using Input/Output Recursive Neural Networks. ICPR (3) Monica Bianchini, Marco Maggini, Lorenzo Sarti
2006	—	`conf`	Object Recognition Using Multiresolution Trees. SSPR/SPR Monica Bianchini, Marco Maggini, Lorenzo Sarti
2006	J	`jnl`	Recursive processing of cyclic graphs. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2005	J	`jnl`	Inside PageRank. ACM Trans. Internet Techn. Monica Bianchini, Marco Gori, Franco Scarselli
2005	—	`conf`	Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2005	J	`jnl`	Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2005	J	`jnl`	Recursive neural networks learn to localize faces. Pattern Recognit. Lett. Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2004	B	`conf`	Recursive networks for processing graphs with labelled edges. ESANN Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2004	B	`conf`	Recursive neural networks for object detection. IJCNN Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2003	—	`conf`	BackPropagation through Cyclic Structures. AI*IA Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2003	—	`conf`	Face Localization with Recursive Neural Networks. WIRN Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli
2003	—	`conf`	PageRank and Web Communities. Web Intelligence Monica Bianchini, Marco Gori, Franco Scarselli
2001	J	`jnl`	Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations. IEEE Trans. Computers Monica Bianchini, Stefano Fanelli, Marco Gori
2001	J	`jnl`	Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori, Franco Scarselli
2001	—	`conf`	Recursive Processing of Directed Acyclic Graphs. WIRN Monica Bianchini, Marco Gori, Franco Scarselli
2001	J	`jnl`	Theoretical properties of recursive neural networks with linear neurons. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori
2000	B	`conf`	Computational capabilities of linear recursive networks. KES Monica Bianchini, Marco Gori, Franco Scarselli
1998	B	`conf`	An Application of ELISA to Perfect Hashing with Deterministic Ordering. ICONIP Monica Bianchini, Stefano Fanelli, Marco Gori
1997	—	`conf`	Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. ICONIP (1) Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi
1997	J	`jnl`	Terminal attractor algorithms: A critical analysis. Neurocomputing Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Maggini
1996	J	`jnl`	Optimal learning in artificial neural networks: A review of theoretical results. Neurocomputing Monica Bianchini, Marco Gori
1995	J	`jnl`	Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Networks Monica Bianchini, Paolo Frasconi, Marco Gori
1995	J	`jnl`	Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks Monica Bianchini, Paolo Frasconi, Marco Gori
1994	J	`jnl`	On the problem of local minima in recurrent neural networks. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori, Marco Maggini