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ORCIDFranco Scarselli
- > Home > Persons > Franco Scarselli
Publications
- 2024
[j33]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: 106465 (2024)- [j32]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): 8527-8547 (2024) - [c51]Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner:
The Expressive Power of Path-Based Graph Neural Networks. ICML 2024 - [i15]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. CoRR abs/2401.03824 (2024) - [i14]Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli:
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR abs/2401.12362 (2024) - 2023
- [j30]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): 1211-1220 (2023) - [j29]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) - [c50]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: 1-6 - [i12]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 abs/2302.01018 (2023) - 2022
- [j28]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: 217-243 (2022) - [j27]Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli:
On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 758-769 (2022) - [j26]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: 101061 (2022) - [j25]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: 1-10 (2022) - [i10]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò:
Modular multi-source prediction of drug side-effects with DruGNN. CoRR abs/2202.08147 (2022) - 2021
- [j24]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450: 242-252 (2021) - [j22]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): 986-995 (2021) - [c48]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 - [c47]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: 1-6 - [i8]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 abs/2106.05132 (2021) - [i7]Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli:
A unifying point of view on expressive power of GNNs. CoRR abs/2106.08992 (2021) - 2020
- [j21]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: 105268 (2020) - [j20]Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini:
Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. 138: 1-7 (2020) - [c46]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: 127-132 - [c44]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: 562-569 - [c43]Alberto Rossi, Monica Bianchini, Franco Scarselli:
Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) 2020: 180-189 - [i4]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular graph generation with Graph Neural Networks. CoRR abs/2012.07397 (2020) - 2019
- [c42]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: 238-250 - [c41]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: 981-989 - [p4]Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini:
Understanding Human Sleep Behaviour by Machine Learning. Cognitive Infocommunications, Theory and Applications 2019: 227-252 - [i3]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR abs/1904.00818 (2019) - [i2]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 abs/1907.12296 (2019) - [i1]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR abs/1911.09026 (2019) - 2018
- [c40]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR 2018: 190-200 - [c39]Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli:
Inductive-Transductive Learning with Graph Neural Networks. ANNPR 2018: 201-212 - [c38]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) 2018: 522-533 - 2016
- [c36]Monica Bianchini, Anas Belahcen, Franco Scarselli:
A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA 2016: 283-293 - [c35]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: 91-96 - 2015
- [p3]Anas Belahcen, Monica Bianchini, Franco Scarselli:
Web Spam Detection Using Transductive(Inductive Graph Neural Networks. Advances in Neural Networks 2015: 83-91 - 2014
- [j18]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): 1553-1565 (2014) - [c34]Monica Bianchini, Franco Scarselli:
On the complexity of shallow and deep neural network classifiers. ESANN 2014 - 2010
- [c31]Niccoló Bandinelli, Monica Bianchini, Franco Scarselli:
Learning long-term dependencies using layered graph neural networks. IJCNN 2010: 1-8 - 2009
- [j14]Monica Bianchini, Franco Scarselli:
Pattern recognition in graphical domains. Neurocomputing 73(1-3): 177-178 (2009) - [p2]Monica Bianchini, Franco Scarselli:
Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. Multimedia Techniques for Device and Ambient Intelligence 2009: 179-199 - [p1]Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain:
Advances in Neural Information Processing Paradigms. Innovations in Neural Information Paradigms and Applications 2009: 1-7 - [e1]Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain:
Innovations in Neural Information Paradigms and Applications. Studies in Computational Intelligence 247, Springer 2009, ISBN 978-3-642-04002-3 [contents] - 2006
- [j11]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17(1): 10-18 (2006) - 2005
- [j9]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks 18(8): 1040-1050 (2005) - [j8]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive neural networks learn to localize faces. Pattern Recognit. Lett. 26(12): 1885-1895 (2005) - [j7]Monica Bianchini, Marco Gori, Franco Scarselli:
Inside PageRank. ACM Trans. Internet Techn. 5(1): 92-128 (2005) - [c19]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS 2005: 38-43 - 2004
- [c17]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive networks for processing graphs with labelled edges. ESANN 2004: 325-330 - 2003
- [c13]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
BackPropagation through Cyclic Structures. AI*IA 2003: 118-129 - [c11]Monica Bianchini, Marco Gori, Franco Scarselli:
PageRank and Web Communities. Web Intelligence 2003: 365-371 - [c10]Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli:
Face Localization with Recursive Neural Networks. WIRN 2003: 99-105 - 2001
- [j5]Monica Bianchini, Marco Gori, Franco Scarselli:
Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks 12(6): 1464-1470 (2001) - [c5]Monica Bianchini, Marco Gori, Franco Scarselli:
Recursive Processing of Directed Acyclic Graphs. WIRN 2001: 96-101 - 2000
- [c3]Monica Bianchini, Marco Gori, Franco Scarselli:
Computational capabilities of linear recursive networks. KES 2000: 462-465
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last updated on 2024-09-10 02:05 CEST by the dblp team
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