Franco Scarselli

According to our database, Franco Scarselli authored at least 98 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 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

Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.

Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas

Neural Networks, 2024

On the effects of recursive convolutional layers in convolutional neural networks.

Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli

Neurocomputing, 2024

FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models.

Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord

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

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

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.

José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Netw., 2023

SortNet: Learning To Rank By a Neural-Based Sorting Algorithm.

Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli

CoRR, 2023

Going Deeper with Recursive Convolutional Layers.

Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli

Proceedings of the International Joint Conference on Neural Networks, 2023

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks.

Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks and Machine Learning, 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

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

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 Study on the effects of recursive convolutional layers in convolutional neural networks.

Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Neurocomputing, 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

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

Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini

Pattern Recognit. Lett., 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

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

Embedding of FRPN in CNN architecture.

Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

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

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

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

The Vapnik-Chervonenkis dimension of graph and recursive neural networks.

Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner

Neural Networks, 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

2017

A fully recursive perceptron network architecture.

Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

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

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

Solving graph data issues using a layered architecture approach with applications to web spam detection.

Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi

Neural Networks, 2013

2011

SortNet: Learning to Rank by a Neural Preference Function.

Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli

IEEE Trans. Neural Networks, 2011

Neural networks for relational learning: an experimental comparison.

Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli

Mach. Learn., 2011

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

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks.

Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks, 2010

Sentence Extraction by Graph Neural Networks.

Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks - ICANN 2010, 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

Computational Capabilities of Graph Neural Networks.

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini

IEEE Trans. Neural Networks, 2009

The Graph Neural Network Model.

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini

IEEE Trans. Neural Networks, 2009

Pattern recognition in graphical domains.

Monica Bianchini, Franco Scarselli

Neurocomputing, 2009

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.

Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Focused Retrieval and Evaluation, 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

2007

An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering.

Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli

Proceedings of the IJCAI 2007, 2007

2006

Computing customized page ranks.

Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli

ACM Trans. Internet Techn., 2006

Recursive processing of cyclic graphs.

Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli

IEEE Trans. Neural Networks, 2006

Document Mining Using Graph Neural Network.

Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Document Mining Using Contextual Self-organizing Maps for Structures.

Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

A Self-Organising Map Approach for Clustering of XML Documents.

Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli

Proceedings of the International Joint Conference on Neural Networks, 2006

A Comparison between Recursive Neural Networks and Graph Neural Networks.

Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori

Proceedings of the International Joint Conference on Neural Networks, 2006

Graph Neural Networks for Object Localization.

Gabriele Monfardini, Vincenzo Di Massa, Franco Scarselli, Marco Gori

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering.

Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 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

Adaptive page ranking with neural networks.

Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 14th international conference on World Wide Web, 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

Graph Neural Networks for Ranking Web Pages.

Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini

Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Clustering XML Documents Using Self-organizing Maps for Structures.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori

Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

A Neural Network Approach to Web Graph Processing.

Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong

Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004

Computing personalized pageranks.

Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner

Proceedings of the 13th international conference on World Wide Web, 2004

Design of a crawler with bounded bandwidth.

Michelangelo Diligenti, Marco Maggini, Filippo Maria Pucci, Franco Scarselli

Proceedings of the 13th international conference on World Wide Web, 2004

Graphical-Based Learning Environments for Pattern Recognition.

Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner

Proceedings of the Structural, 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

A Hybrid Model for the Prediction of the Linguistic Origin of Surnames.

Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng

IEEE Trans. Knowl. Data Eng., 2003

Adaptive ranking of web pages.

Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini

Proceedings of the Twelfth International World Wide Web Conference, 2003

A Simple Focused Crawler.

Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli

Proceedings of the Twelfth International World Wide Web Conference - Posters, 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

An introduction to learning in web domains.

Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi

Proceedings of the 11th European Symposium on Artificial Neural Networks, 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

Recursive Processing of Directed Acyclic Graphs.

Monica Bianchini, Marco Gori, Franco Scarselli

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

Classification of HTML Documents by Hidden Tree-Markov Models.

Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Searching the Web: learning based techniques.

Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli

Proceedings of the 9th European Symposium on Artificial Neural Networks, 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

Learning User Profiles in NAUTILUS.

Marco Gori, Marco Maggini, Enrico Martinelli, Franco Scarselli

Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

1999

A connectionist-based model for predicting the linguistic origin of surnames.

Patrizia Bonaventura, Marco Gori, Franco Scarselli, Pierluigi Salza, Jianqing Sheng

Proceedings of the International Joint Conference Neural Networks, 1999

1998

On the closure of the set of functions that can be realized by a given multilayer perceptron.

Marco Gori, Franco Scarselli, Ah Chung Tsoi

IEEE Trans. Neural Networks, 1998

Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?

Marco Gori, Franco Scarselli

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.

Franco Scarselli, Ah Chung Tsoi

Neural Networks, 1998

1996

Which classes of functions can a given multilayer perceptron approximate?

Marco Gori, Franco Scarselli, Ah Chung Tsoi

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

Software Process Monitoring Mechanisms in Oikos.

Carlo Montangero, Franco Scarselli

Int. J. Softw. Eng. Knowl. Eng., 1994