Franco Scarselli

Orcid: 0000-0003-1307-0772

According to our database1, Franco Scarselli authored at least 94 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models.
CoRR, 2024

VC dimension of Graph Neural Networks with Pfaffian activation functions.
CoRR, 2024

A topological description of loss surfaces based on Betti Numbers.
CoRR, 2024

2023
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023

SortNet: Learning To Rank By a Neural-Based Sorting Algorithm.
CoRR, 2023

Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities.
CoRR, 2023

Going Deeper with Recursive Convolutional Layers.
Proceedings of the International Joint Conference on Neural Networks, 2023

A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings.
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.
IEEE Trans. Instrum. Meas., 2022

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing.
SoftwareX, 2022

On Inductive-Transductive Learning With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview.
Neurocomputing, 2022

Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs.
CoRR, 2022

2021
Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI.
IEEE Trans. Medical Imaging, 2021

A Study on the effects of recursive convolutional layers in convolutional neural networks.
Neurocomputing, 2021

Molecular generative Graph Neural Networks for Drug Discovery.
Neurocomputing, 2021

A unifying point of view on expressive power of GNNs.
CoRR, 2021

A multi-stage GAN for multi-organ chest X-ray image generation and segmentation.
CoRR, 2021

Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Complex Data: Learning Trustworthily, Automatically, and with Guarantees.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Weak supervision for generating pixel-level annotations in scene text segmentation.
Pattern Recognit. Lett., 2020

Molecular graph generation with Graph Neural Networks.
CoRR, 2020

Image generation by GAN and style transfer for agar plate image segmentation.
Comput. Methods Programs Biomed., 2020

Robust Prostate Cancer Classification with Siamese Neural Networks.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Deep Learning Techniques for Dragonfly Action Recognition.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Embedding of FRPN in CNN architecture.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Graph Neural Networks for the Prediction of Protein-Protein Interfaces.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation.
CoRR, 2019

Analysis of brain NMR images for age estimation with deep learning.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Understanding Human Sleep Behaviour by Machine Learning.
Proceedings of the Cognitive Infocommunications, Theory and Applications, 2019

2018
The Vapnik-Chervonenkis dimension of graph and recursive neural networks.
Neural Networks, 2018

A Deep Learning Approach to Bacterial Colony Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Inductive-Transductive Learning with Graph Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
A fully recursive perceptron network architecture.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
An unobtrusive sleep monitoring system for the human sleep behaviour understanding.
Proceedings of the 7th IEEE International Conference on Cognitive Infocommunications, 2016

A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks.
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.
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.
IEEE Trans. Neural Networks Learn. Syst., 2014

On the complexity of shallow and deep neural network classifiers.
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.
Neural Networks, 2013

2011
SortNet: Learning to Rank by a Neural Preference Function.
IEEE Trans. Neural Networks, 2011

Neural networks for relational learning: an experimental comparison.
Mach. Learn., 2011

2010
Learning long-term dependencies using layered graph neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks.
Proceedings of the Artificial Neural Networks, 2010

Sentence Extraction by Graph Neural Networks.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

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

Computational Capabilities of Graph Neural Networks.
IEEE Trans. Neural Networks, 2009

The Graph Neural Network Model.
IEEE Trans. Neural Networks, 2009

Pattern recognition in graphical domains.
Neurocomputing, 2009

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.
Proceedings of the Focused Retrieval and Evaluation, 2009

Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey.
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.
Proceedings of the IJCAI 2007, 2007

2006
Computing customized page ranks.
ACM Trans. Internet Techn., 2006

Recursive processing of cyclic graphs.
IEEE Trans. Neural Networks, 2006

Document Mining Using Graph Neural Network.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Document Mining Using Contextual Self-organizing Maps for Structures.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

A Self-Organising Map Approach for Clustering of XML Documents.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Comparison between Recursive Neural Networks and Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Graph Neural Networks for Object Localization.
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.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Inside PageRank.
ACM Trans. Internet Techn., 2005

Recursive neural networks learn to localize faces.
Pattern Recognit. Lett., 2005

Recursive neural networks for processing graphs with labelled edges: theory and applications.
Neural Networks, 2005

Adaptive page ranking with neural networks.
Proceedings of the 14th international conference on World Wide Web, 2005

Recursive Neural Networks and Graphs: Dealing with Cycles.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

Graph Neural Networks for Ranking Web Pages.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Clustering XML Documents Using Self-organizing Maps for Structures.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

A Neural Network Approach to Web Graph Processing.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
Computing personalized pageranks.
Proceedings of the 13th international conference on World Wide Web, 2004

Design of a crawler with bounded bandwidth.
Proceedings of the 13th international conference on World Wide Web, 2004

Graphical-Based Learning Environments for Pattern Recognition.
Proceedings of the Structural, 2004

Recursive networks for processing graphs with labelled edges.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
A Hybrid Model for the Prediction of the Linguistic Origin of Surnames.
IEEE Trans. Knowl. Data Eng., 2003

Adaptive ranking of web pages.
Proceedings of the Twelfth International World Wide Web Conference, 2003

A Simple Focused Crawler.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Face Localization with Recursive Neural Networks.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

PageRank and Web Communities.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

An introduction to learning in web domains.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

BackPropagation through Cyclic Structures.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2001
Processing directed acyclic graphs with recursive neural networks.
IEEE Trans. Neural Networks, 2001

Recursive Processing of Directed Acyclic Graphs.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Classification of HTML Documents by Hidden Tree-Markov Models.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Searching the Web: learning based techniques.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
Computational capabilities of linear recursive networks.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Learning User Profiles in NAUTILUS.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

1999
A connectionist-based model for predicting the linguistic origin of surnames.
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.
IEEE Trans. Neural Networks, 1998

Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.
Neural Networks, 1998

1996
Which classes of functions can a given multilayer perceptron approximate?
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994
Software Process Monitoring Mechanisms in Oikos.
Int. J. Softw. Eng. Knowl. Eng., 1994


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