Franco Scarselli

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 48

Top Venues

Publications

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) (2024)
Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR (2024)
Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 591 (2024)
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
A topological description of loss surfaces based on Betti Numbers. CoRR (2024)
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR (2024)
Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs. Neural Networks 173 (2024)
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 (2024)
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)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
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)
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) (2023)
Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm. CoRR (2023)
Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
Going Deeper with Recursive Convolutional Layers. IJCNN (2023)
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 (2023)
Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli
On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. CoRR (2022)
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 (2022)
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 (2022)
Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
Modular multi-source prediction of drug side-effects with DruGNN. CoRR (2022)
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 (2022)
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)
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) (2021)
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 (2021)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
A unifying point of view on expressive power of GNNs. CoRR (2021)
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)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 460 (2021)
Pietro Bongini, Monica Bianchini, Franco Scarselli
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450 (2021)
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)
Alberto Rossi, Monica Bianchini, Franco Scarselli
Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) (2020)
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)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Embedding of FRPN in CNN architecture. CoRR (2020)
Pietro Bongini, Monica Bianchini, Franco Scarselli
Molecular graph generation with Graph Neural Networks. CoRR (2020)
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 (2020)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Embedding of FRPN in CNN architecture. ESANN (2020)
Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini
Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. 138 (2020)
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)
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)
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 (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR (2019)
Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR (2018)
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks 108 (2018)
Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli
Inductive-Transductive Learning with Graph Neural Networks. ANNPR (2018)
Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) (2018)
Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang
A fully recursive perceptron network architecture. SSCI (2017)
Monica Bianchini, Anas Belahcen, Franco Scarselli
A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA (2016)
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)
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) (2014)
Monica Bianchini, Franco Scarselli
On the complexity of shallow and deep neural network classifiers. ESANN (2014)
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi
Solving graph data issues using a layered architecture approach with applications to web spam detection. Neural Networks 48 (2013)
Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli
Neural networks for relational learning: an experimental comparison. Mach. Learn. 82 (3) (2011)
Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli
SortNet: Learning to Rank by a Neural Preference Function. IEEE Trans. Neural Networks 22 (9) (2011)
Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) (2010)
Niccoló Bandinelli, Monica Bianchini, Franco Scarselli
Learning long-term dependencies using layered graph neural networks. IJCNN (2010)
Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Sentence Extraction by Graph Neural Networks. ICANN (3) (2010)
Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX (2009)
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
The Graph Neural Network Model. IEEE Trans. Neural Networks 20 (1) (2009)
Monica Bianchini, Franco Scarselli
Pattern recognition in graphical domains. Neurocomputing 73 (1-3) (2009)
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20 (1) (2009)
Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli
An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering. IJCAI (2007)
Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli
Computing customized page ranks. ACM Trans. Internet Techn. 6 (4) (2006)
Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli
Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering. ECAI (2006)
Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori
XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX (2006)
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori
A Comparison between Recursive Neural Networks and Graph Neural Networks. IJCNN (2006)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17 (1) (2006)
Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli
A Self-Organising Map Approach for Clustering of XML Documents. IJCNN (2006)
Gabriele Monfardini, Vincenzo Di Massa, Franco Scarselli, Marco Gori
Graph Neural Networks for Object Localization. ECAI (2006)
Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori
Document Mining Using Graph Neural Network. INEX (2006)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks 18 (8) (2005)
Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong
A Neural Network Approach to Web Graph Processing. APWeb (2005)
Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini
Graph Neural Networks for Ranking Web Pages. Web Intelligence (2005)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS (2005)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori
Clustering XML Documents Using Self-organizing Maps for Structures. INEX (2005)
Monica Bianchini, Marco Gori, Franco Scarselli
Inside PageRank. ACM Trans. Internet Techn. 5 (1) (2005)
Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) (2005)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive neural networks learn to localize faces. Pattern Recognit. Lett. 26 (12) (2005)
Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR (2004)
Michelangelo Diligenti, Marco Maggini, Filippo Maria Pucci, Franco Scarselli
Design of a crawler with bounded bandwidth. WWW (Alternate Track Papers & Posters) (2004)
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
Computing personalized pageranks. WWW (Alternate Track Papers & Posters) (2004)
Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
Recursive networks for processing graphs with labelled edges. ESANN (2004)
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
BackPropagation through Cyclic Structures. AI*IA (2003)
Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli
A Simple Focused Crawler. WWW (Posters) (2003)
Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng
A Hybrid Model for the Prediction of the Linguistic Origin of Surnames. IEEE Trans. Knowl. Data Eng. 15 (3) (2003)
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini
Adaptive ranking of web pages. WWW (2003)
Monica Bianchini, Marco Gori, Franco Scarselli
PageRank and Web Communities. Web Intelligence (2003)
Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi
An introduction to learning in web domains. ESANN (2003)
Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli
Face Localization with Recursive Neural Networks. WIRN (2003)
Monica Bianchini, Marco Gori, Franco Scarselli
Recursive Processing of Directed Acyclic Graphs. WIRN (2001)
Monica Bianchini, Marco Gori, Franco Scarselli
Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks 12 (6) (2001)
Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli
Classification of HTML Documents by Hidden Tree-Markov Models. ICDAR (2001)
Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli
Searching the Web: learning based techniques. ESANN (2001)
Marco Gori, Marco Maggini, Enrico Martinelli, Franco Scarselli
Learning User Profiles in NAUTILUS. AH (2000)
Monica Bianchini, Marco Gori, Franco Scarselli
Computational capabilities of linear recursive networks. KES (2000)
Patrizia Bonaventura, Marco Gori, Franco Scarselli, Pierluigi Salza, Jianqing Sheng
A connectionist-based model for predicting the linguistic origin of surnames. IJCNN (1999)
Marco Gori, Franco Scarselli, Ah Chung Tsoi
On the closure of the set of functions that can be realized by a given multilayer perceptron. IEEE Trans. Neural Networks 9 (6) (1998)
Franco Scarselli, Ah Chung Tsoi
Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results. Neural Networks 11 (1) (1998)
Marco Gori, Franco Scarselli
Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification? IEEE Trans. Pattern Anal. Mach. Intell. 20 (11) (1998)
Marco Gori, Franco Scarselli, Ah Chung Tsoi
Which classes of functions can a given multilayer perceptron approximate? ICNN (1996)
Carlo Montangero, Franco Scarselli
Software Process Monitoring Mechanisms in Oikos. Int. J. Softw. Eng. Knowl. Eng. 4 (4) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Franco Scarselli