Software Process Monitoring Mechanisms in Oikos. - Carlo Montangero; Franco Scarselli (Int. J. Softw. Eng. Knowl. Eng., 1994)

Which classes of functions can a given multilayer perceptron approximate? - Marco Gori; Franco Scarselli; Ah Chung Tsoi (ICNN, 1996)

Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results. - Franco Scarselli; Ah Chung Tsoi (Neural Networks, 1998)

Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification? - Marco Gori; Franco Scarselli (IEEE Trans. Pattern Anal. Mach. Intell., 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)

A connectionist-based model for predicting the linguistic origin of surnames. - Patrizia Bonaventura; Marco Gori; Franco Scarselli; Pierluigi Salza; Jianqing Sheng (IJCNN, 1999)

Learning User Profiles in NAUTILUS. - Marco Gori; Marco Maggini; Enrico Martinelli; Franco Scarselli (AH, 2000)

Computational capabilities of linear recursive networks. - Monica Bianchini; Marco Gori; Franco Scarselli (KES, 2000)

Searching the Web: learning based techniques. - Michelangelo Diligenti; Marco Gori; Marco Maggini; Franco Scarselli (ESANN, 2001)

Classification of HTML Documents by Hidden Tree-Markov Models. - Michelangelo Diligenti; Marco Gori; Marco Maggini; Franco Scarselli (ICDAR, 2001)

Recursive Processing of Directed Acyclic Graphs. - Monica Bianchini; Marco Gori; Franco Scarselli (WIRN, 2001)

Processing directed acyclic graphs with recursive neural networks. - Monica Bianchini; Marco Gori; Franco Scarselli (IEEE Trans. Neural Networks, 2001)

BackPropagation through Cyclic Structures. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (AI*IA, 2003)

An introduction to learning in web domains. - Michelangelo Diligenti; Marco Gori; Marco Maggini; Franco Scarselli; Ah Chung Tsoi (ESANN, 2003)

PageRank and Web Communities. - Monica Bianchini; Marco Gori; Franco Scarselli (Web Intelligence, 2003)

Face Localization with Recursive Neural Networks. - Monica Bianchini; Marco Gori; Paolo Mazzoni; Lorenzo Sarti; Franco Scarselli (WIRN, 2003)

A Simple Focused Crawler. - Ah Chung Tsoi; Daniele Frosali; Marco Gori; Markus Hagenbuchner; Franco Scarselli (WWW (Posters), 2003)

Adaptive ranking of web pages. - Ah Chung Tsoi; Gianni Morini; Franco Scarselli; Markus Hagenbuchner; Marco Maggini (WWW, 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)

Recursive networks for processing graphs with labelled edges. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (ESANN, 2004)

Recursive neural networks for object detection. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (IJCNN, 2004)

Graphical-Based Learning Environments for Pattern Recognition. - Franco Scarselli; Ah Chung Tsoi; Marco Gori; Markus Hagenbuchner (SSPR/SPR, 2004)

Design of a crawler with bounded bandwidth. - Michelangelo Diligenti; Marco Maggini; Filippo Maria Pucci; Franco Scarselli (WWW (Alternate Track Papers & Posters), 2004)

Computing personalized pageranks. - Franco Scarselli; Ah Chung Tsoi; Markus Hagenbuchner (WWW (Alternate Track Papers & Posters), 2004)

A Neural Network Approach to Web Graph Processing. - Ah Chung Tsoi; Franco Scarselli; Marco Gori; Markus Hagenbuchner; Sweah Liang Yong (APWeb, 2005)

A new model for learning in graph domains. - Marco Gori; Gabriele Monfardini; Franco Scarselli (IJCNN, 2005)

Clustering XML Documents Using Self-organizing Maps for Structures. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi; Francesca Trentini; Franco Scarselli; Marco Gori (INEX, 2005)

Graph Neural Networks for Ranking Web Pages. - Franco Scarselli; Sweah Liang Yong; Marco Gori; Markus Hagenbuchner; Ah Chung Tsoi; Marco Maggini (Web Intelligence, 2005)

Recursive Neural Networks and Graphs: Dealing with Cycles. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (WIRN/NAIS, 2005)

Adaptive page ranking with neural networks. - Franco Scarselli; Sweah Liang Yong; Markus Hagenbuchner; Ah Chung Tsoi (WWW (Special interest tracks and posters), 2005)

Recursive neural networks for processing graphs with labelled edges: theory and applications. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (Neural Networks, 2005)

Recursive neural networks learn to localize faces. - Monica Bianchini; Marco Maggini; Lorenzo Sarti; Franco Scarselli (Pattern Recognit. Lett., 2005)

Inside PageRank. - Monica Bianchini; Marco Gori; Franco Scarselli (ACM Trans. Internet Techn., 2005)

Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering. - Marco Ernandes; Giovanni Angelini; Marco Gori; Leonardo Rigutini; Franco Scarselli (ECAI, 2006)

Graph Neural Networks for Object Localization. - Gabriele Monfardini; Vincenzo Di Massa; Franco Scarselli; Marco Gori (ECAI, 2006)

A Comparison between Recursive Neural Networks and Graph Neural Networks. - Vincenzo Di Massa; Gabriele Monfardini; Lorenzo Sarti; Franco Scarselli; Marco Maggini; Marco Gori (IJCNN, 2006)

A Self-Organising Map Approach for Clustering of XML Documents. - Francesca Trentini; Markus Hagenbuchner; Alessandro Sperduti; Franco Scarselli (IJCNN, 2006)

XML Document Mining Using Contextual Self-organizing Maps for Structures. - Milly Kc; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Alessandro Sperduti; Marco Gori (INEX, 2006)

Document Mining Using Graph Neural Network. - Sweah Liang Yong; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Marco Gori (INEX, 2006)

Recursive processing of cyclic graphs. - Monica Bianchini; Marco Gori; Lorenzo Sarti; Franco Scarselli (IEEE Trans. Neural Networks, 2006)

Computing customized page ranks. - Ah Chung Tsoi; Markus Hagenbuchner; Franco Scarselli (ACM Trans. Internet Techn., 2006)

An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering. - Marco Ernandes; Giovanni Angelini; Marco Gori; Leonardo Rigutini; Franco Scarselli (IJCAI, 2007)

Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. - Monica Bianchini; Franco Scarselli (Multimedia Techniques for Device and Ambient Intelligence, 2009)

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. - Shujia Zhang; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (INEX, 2009)

Pattern recognition in graphical domains. - Monica Bianchini; Franco Scarselli (Neurocomputing, 2009)

The Graph Neural Network Model. - Franco Scarselli; Marco Gori; Ah Chung Tsoi; Markus Hagenbuchner; Gabriele Monfardini (IEEE Trans. Neural Networks, 2009)

Computational Capabilities of Graph Neural Networks. - Franco Scarselli; Marco Gori; Ah Chung Tsoi; Markus Hagenbuchner; Gabriele Monfardini (IEEE Trans. Neural Networks, 2009)

Advances in Neural Information Processing Paradigms. - Monica Bianchini; Marco Maggini; Franco Scarselli; Lakhmi C. Jain (Innovations in Neural Information Paradigms and Applications, 2009)

Sentence Extraction by Graph Neural Networks. - Donatella Muratore; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (3), 2010)

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. - Lucia Di Noi; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (2), 2010)

Learning long-term dependencies using layered graph neural networks. - Niccoló Bandinelli; Monica Bianchini; Franco Scarselli (IJCNN, 2010)

Neural networks for relational learning: an experimental comparison. - Werner Uwents; Gabriele Monfardini; Hendrik Blockeel; Marco Gori; Franco Scarselli (Mach. Learn., 2011)

SortNet: Learning to Rank by a Neural Preference Function. - Leonardo Rigutini; Tiziano Papini; Marco Maggini; Franco Scarselli (IEEE Trans. Neural Networks, 2011)

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)

On the complexity of shallow and deep neural network classifiers. - Monica Bianchini; Franco Scarselli (ESANN, 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)

Web Spam Detection Using Transductive(Inductive Graph Neural Networks. - Anas Belahcen; Monica Bianchini; Franco Scarselli (Advances in Neural Networks, 2015)

A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. - Monica Bianchini; Anas Belahcen; Franco Scarselli (AI*IA, 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 (CogInfoCom, 2016)

A fully recursive perceptron network architecture. - Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Shujia Zhang (SSCI, 2017)

Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. - Simone Bonechi; Paolo Andreini; Monica Bianchini; Franco Scarselli (ANNPR, 2018)

Inductive-Transductive Learning with Graph Neural Networks. - Alberto Rossi; Matteo Tiezzi; Giovanna Maria Dimitri; Monica Bianchini; Marco Maggini; Franco Scarselli (ANNPR, 2018)

A Deep Learning Approach to Bacterial Colony Segmentation. - Paolo Andreini; Simone Bonechi; Monica Bianchini; Alessandro Mecocci; Franco Scarselli (ICANN (3), 2018)

The Vapnik-Chervonenkis dimension of graph and recursive neural networks. - Franco Scarselli; Ah Chung Tsoi; Markus Hagenbuchner (Neural Networks, 2018)

Understanding Human Sleep Behaviour by Machine Learning. - Antonino Crivello; Filippo Palumbo; Paolo Barsocchi; Davide La Rosa; Franco Scarselli; Monica Bianchini (Cognitive Infocommunications, Theory and Applications, 2019)

COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. - Simone Bonechi; Paolo Andreini; Monica Bianchini; Franco Scarselli (ICANN (3), 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 (KES, 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)

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 (ESANN, 2020)

Embedding of FRPN in CNN architecture. - Alberto Rossi; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ESANN, 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 (ICPRAM, 2020)

Robust Prostate Cancer Classification with Siamese Neural Networks. - Alberto Rossi; Monica Bianchini; Franco Scarselli (ISVC (2), 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)

Molecular graph generation with Graph Neural Networks. - Pietro Bongini; Monica Bianchini; Franco Scarselli (CoRR, 2020)

Weak supervision for generating pixel-level annotations in scene text segmentation. - Simone Bonechi; Monica Bianchini; Franco Scarselli; Paolo Andreini (Pattern Recognit. Lett., 2020)

Complex Data: Learning Trustworthily, Automatically, and with Guarantees. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Alessandro Sperduti (ESANN, 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 (I2MTC, 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)

A unifying point of view on expressive power of GNNs. - Giuseppe Alessio D'Inverno; Monica Bianchini; Maria Lucia Sampoli; Franco Scarselli (CoRR, 2021)

Molecular generative Graph Neural Networks for Drug Discovery. - Pietro Bongini; Monica Bianchini; Franco Scarselli (Neurocomputing, 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)

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)

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)

On Inductive-Transductive Learning With Graph Neural Networks. - Giorgio Ciano; Alberto Rossi; Monica Bianchini; Franco Scarselli (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

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 (I2MTC, 2023)

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. - Barbara Toniella Corradini; Paolo Andreini; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (5), 2023)

Going Deeper with Recursive Convolutional Layers. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (IJCNN, 2023)

SortNet: Learning To Rank By a Neural-Based Sorting Algorithm. - Leonardo Rigutini; Tiziano Papini; Marco Maggini; Franco Scarselli (CoRR, 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)

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 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)

The Expressive Power of Path-Based Graph Neural Networks. - Caterina Graziani; Tamara Drucks; Fabian Jogl; Monica Bianchini; Franco Scarselli; Thomas Gärtner 001 (ICML, 2024)

Interoperable Traceability in Supply Chains: A Use Case in Agritech. - Giovanni Farina; Gianluca Brunori; Stefano Chessa; Alexander Kocian; Maria Bonaria Lai; Daniele Nardi; Claudio Schifanella; Susanna Bonura; Nicola Masi; Fiorenzo Ambrosino; Angelo Mariano; Lucio Colizzi; et al. (INTSYS, 2024)

Diff-Props: is Semantics Preserved within a Diffusion Model? - Simone Bonechi; Paolo Andreini; Barbara Toniella Corradini; Franco Scarselli (KES, 2024)

Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors. - Giovanna Maria Dimitri; Irene Cappelli; Franco Scarselli; Ada Fort; Marco Gori (MetroXRAINE, 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)

On the effects of recursive convolutional layers in convolutional neural networks. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (Neurocomputing, 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)

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)

On the approximation capability of GNNs in node classification/regression tasks. - Giuseppe Alessio D'Inverno; Monica Bianchini; Maria Lucia Sampoli; Franco Scarselli (Soft Comput., 2024)

An analysis of pre-trained stable diffusion models through a semantic lens. - Simone Bonechi; Paolo Andreini; Barbara Toniella Corradini; Franco Scarselli (Neurocomputing, 2025)

Investigating the effects of recursion in convolutional layers using analytical methods. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (Neurocomputing, 2025)

MOLGMP: A Markov approach for molecular graph generation with GNNs. - Benoit Goupil; Antonin Joly; Niccolò Pancino; Pietro Bongini; Franco Scarselli; Monica Bianchini (Neurocomputing, 2025)

VC dimension of Graph Neural Networks with Pfaffian activation functions. - Giuseppe Alessio D'Inverno; Monica Bianchini; Franco Scarselli (Neural Networks, 2025)