Franco Scarselli

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Marco GoriProfessor of Computer Science, University of SienaVerified email at dii.unisi.it
MONICA BIANCHINIUniversity of SienaVerified email at unisi.it
Ah Chung TsoiEmeritus Professor, University of WollongongVerified email at uow.edu.au
Dr. Markus HagenbuchnerAssociate Professor, University of WollongongVerified email at uow.edu.au
Marco MagginiProfessor of Computer Science, University of SienaVerified email at unisi.it
paolo andreiniPhd student , Department of Computer Engineering and Mathematics, University of Siena, ItalyVerified email at unisi.it
Simone BonechiUniversità di SienaVerified email at unisi.it
Lorenzo SartiMaior SrlVerified email at maior.it
Pietro BonginiPost Doctoral Student/Researcher, University of SienaVerified email at unisi.it
Alberto RossiUniversity of FlorenceVerified email at unifi.it
ALESSANDRO MECOCCIProfessor of Information Engineering, University of SienaVerified email at unisi.it
Giorgio CianoData Science for Health (DaScH) Lab, Toscana Life Sciences (TLS)Verified email at unifi.it
Giovanna Maria Dimitri, PhDAssistant Professor at University of Siena, PhD and MPhil at the University of Cambridge (UK)Verified email at unisi.it
Alessandro SperdutiUniversity of PadovaVerified email at math.unipd.it
Niccolò PancinoUniversity of Siena / FlorenceVerified email at unisi.it
Veronica LachiUniversità di SienaVerified email at student.unisi.it
Caterina GrazianiPhd, Università degli Studi di SienaVerified email at student.unisi.it
Giuseppe Alessio D'InvernoPostdoctoral research fellow @ SISSA, TriesteVerified email at sissa.it
Michelangelo DiligentiUniversity of SienaVerified email at diism.unisi.it
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be

Franco Scarselli

University of Siena

Verified email at unisi.it

Deep learning Graph neural networks Theory of neural networks Computer vision by deep learning


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The graph neural network model F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini IEEE transactions on neural networks 20 (1), 61-80, 2008	7973	2008
A new model for learning in graph domains M Gori, G Monfardini, F Scarselli Proceedings. 2005 IEEE international joint conference on neural networks …, 2005	2299	2005
Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results F Scarselli, AC Tsoi Neural networks 11 (1), 15-37, 1998	756	1998
Inside pagerank M Bianchini, M Gori, F Scarselli ACM Transactions on Internet Technology (TOIT) 5 (1), 92-128, 2005	708	2005
On the complexity of neural network classifiers: A comparison between shallow and deep architectures M Bianchini, F Scarselli IEEE transactions on neural networks and learning systems 25 (8), 1553-1565, 2014	626	2014
Computational capabilities of graph neural networks F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini IEEE Transactions on Neural Networks 20 (1), 81-102, 2008	240	2008
Are multilayer perceptrons adequate for pattern recognition and verification? M Gori, F Scarselli IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11), 1121 …, 1998	155	1998
Graph neural networks for ranking web pages F Scarselli, SL Yong, M Gori, M Hagenbuchner, AC Tsoi, M Maggini The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005	139	2005
The graph neural network model S Franco, G Marco, TA Chung, H Markus, M Gabriele IEEE transactions on neural networks 20 (1), 61-80, 2009	129	2009
Molecular generative graph neural networks for drug discovery P Bongini, M Bianchini, F Scarselli Neurocomputing 450, 242-252, 2021	106	2021
The vapnik–chervonenkis dimension of graph and recursive neural networks F Scarselli, AC Tsoi, M Hagenbuchner Neural Networks 108, 248-259, 2018	103	2018
Image generation by GAN and style transfer for agar plate image segmentation P Andreini, S Bonechi, M Bianchini, A Mecocci, F Scarselli Computer methods and programs in biomedicine 184, 105268, 2020	77	2020
Adaptive ranking of web pages AC Tsoi, G Morini, F Scarselli, M Hagenbuchner, M Maggini Proceedings of the 12th international conference on World Wide Web, 356-365, 2003	73	2003
SortNet: Learning to rank by a neural preference function L Rigutini, T Papini, M Maggini, F Scarselli IEEE transactions on neural networks 22 (9), 1368-1380, 2011	69	2011
Recursive neural networks for processing graphs with labelled edges: Theory and applications M Bianchini, M Maggini, L Sarti, F Scarselli Neural Networks 18 (8), 1040-1050, 2005	60	2005
Weak supervision for generating pixel–level annotations in scene text segmentation S Bonechi, M Bianchini, F Scarselli, P Andreini Pattern Recognition Letters 138, 1-7, 2020	56	2020
A two-stage GAN for high-resolution retinal image generation and segmentation P Andreini, G Ciano, S Bonechi, C Graziani, V Lachi, A Mecocci, A Sodi, ... Electronics 11 (1), 60, 2021	50	2021
A comparison between recursive neural networks and graph neural networks V Di Massa, G Monfardini, L Sarti, F Scarselli, M Maggini, M Gori The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006	49	2006
Neural networks for relational learning: an experimental comparison W Uwents, G Monfardini, H Blockeel, M Gori, F Scarselli Machine Learning 82, 315-349, 2011	47	2011
Graphical-based learning environments for pattern recognition F Scarselli, AC Tsoi, M Gori, M Hagenbuchner Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004	47	2004

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