Franco Scarselli

123 papers A* 3A 3B 18C 2Journal 56Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach. CoRR Paolo Andreini, Alessandra Bernardi, Monica Bianchini, Barbara Toniella Corradini, Sara Marziali, Giacomo Nunziati, Franco Scarselli
2026	J	`jnl`	Training dynamics of GANs through the lens of persistent homology. Neurocomputing Barbara Toniella Corradini, Ben Cullen, Caterina Gallegati, Sara Marziali, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2025	—	`conf`	A Deep Learning Approach for Nystagmus Recognition in RGB Videos. MetroXRAINE Giacomo Nunziati, Andrea Porri, Paolo Andreini, Simone Bonechi, Monica Bianchini, Rudi Pecci, Mattia Ronchetti, Franco Scarselli, Simone Vanni
2025	J	`jnl`	An analysis of pre-trained stable diffusion models through a semantic lens. Neurocomputing Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli
2025	B	`conf`	FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. IJCNN Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord
2025	J	`jnl`	Investigating the effects of recursion in convolutional layers using analytical methods. Neurocomputing Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2025	J	`jnl`	MOLGMP: A Markov approach for molecular graph generation with GNNs. Neurocomputing Benoit Goupil, Antonin Joly, Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2025	J	`jnl`	VC dimension of Graph Neural Networks with Pfaffian activation functions. Neural Networks Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2024	J	`jnl`	A topological description of loss surfaces based on Betti Numbers. CoRR Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024	J	`jnl`	A topological description of loss surfaces based on Betti Numbers. Neural Networks Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024	B	`conf`	Diff-Props: is Semantics Preserved within a Diffusion Model? KES Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli
2024	J	`jnl`	FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord
2024	—	`conf`	Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors. MetroXRAINE Giovanna Maria Dimitri, Irene Cappelli, Franco Scarselli, Ada Fort, Marco Gori
2024	—	`conf`	Interoperable Traceability in Supply Chains: A Use Case in Agritech. INTSYS 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, Giovanna Maria Dimitri, Marco Gori, Franco Scarselli, Silvia Bonomi
2024	J	`jnl`	On the approximation capability of GNNs in node classification/regression tasks. Soft Comput. Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
2024	J	`jnl`	On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2024	—	`ed.`	Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2024	A*	`conf`	The Expressive Power of Path-Based Graph Neural Networks. ICML Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner
2024	J	`jnl`	VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2024	J	`jnl`	Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs. Neural Networks Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
2023	—	`conf`	A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. I2MTC Elia Landi, Filippo Spinelli, Matteo Intravaia, Marco Mugnaini, Ada Fort, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli, Marco Tanfoni
2023	—	`conf`	Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. ICANN (5) Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2023	B	`conf`	Going Deeper with Recursive Convolutional Layers. IJCNN Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2023	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 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
2023	J	`jnl`	Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
2023	—	`ed.`	Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2023	J	`jnl`	SortNet: Learning To Rank By a Neural-Based Sorting Algorithm. CoRR Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli
2022	J	`jnl`	GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2022	J	`jnl`	Modular multi-source prediction of drug side-effects with DruGNN. CoRR Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
2022	J	`jnl`	On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli
2022	—	`ed.`	Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos
2022	J	`jnl`	Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. IEEE Trans. Instrum. Meas. Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2022	J	`jnl`	Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. CoRR Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
2021	J	`jnl`	A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2021	J	`jnl`	A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. CoRR Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli
2021	J	`jnl`	A unifying point of view on expressive power of GNNs. CoRR Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
2021	B	`conf`	Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
2021	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR 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
2021	J	`jnl`	Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing Pietro Bongini, Monica Bianchini, Franco Scarselli
2021	J	`jnl`	Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. IEEE Trans. Medical Imaging Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman
2021	—	`conf`	Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. I2MTC Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini
2020	C	`conf`	Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
2020	B	`conf`	Embedding of FRPN in CNN architecture. ESANN Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2020	J	`jnl`	Embedding of FRPN in CNN architecture. CoRR Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2020	B	`conf`	Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini
2020	J	`jnl`	Image generation by GAN and style transfer for agar plate image segmentation. Comput. Methods Programs Biomed. Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
2020	J	`jnl`	Molecular graph generation with Graph Neural Networks. CoRR Pietro Bongini, Monica Bianchini, Franco Scarselli
2020	—	`conf`	Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) Alberto Rossi, Monica Bianchini, Franco Scarselli
2020	J	`jnl`	Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini
2019	J	`jnl`	A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. CoRR Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi
2019	B	`conf`	Analysis of brain NMR images for age estimation with deep learning. KES Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
2019	—	`conf`	COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. ICANN (3) Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2019	J	`jnl`	COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2019	—	`ch.`	Understanding Human Sleep Behaviour by Machine Learning. Cognitive Infocommunications, Theory and Applications Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini
2019	J	`jnl`	Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2018	—	`conf`	A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli
2018	—	`conf`	Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
2018	—	`conf`	Inductive-Transductive Learning with Graph Neural Networks. ANNPR Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli
2018	J	`jnl`	The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
2017	—	`conf`	A fully recursive perceptron network architecture. SSCI Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang
2016	—	`conf`	A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA Monica Bianchini, Anas Belahcen, Franco Scarselli
2016	—	`conf`	An unobtrusive sleep monitoring system for the human sleep behaviour understanding. CogInfoCom Paolo Barsocchi, Monica Bianchini, Antonino Crivello, Davide La Rosa, Filippo Palumbo, Franco Scarselli
2015	—	`ch.`	Web Spam Detection Using Transductive(Inductive Graph Neural Networks. Advances in Neural Networks Anas Belahcen, Monica Bianchini, Franco Scarselli
2014	J	`jnl`	On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. IEEE Trans. Neural Networks Learn. Syst. Monica Bianchini, Franco Scarselli
2014	B	`conf`	On the complexity of shallow and deep neural network classifiers. ESANN Monica Bianchini, Franco Scarselli
2013	J	`jnl`	Solving graph data issues using a layered architecture approach with applications to web spam detection. Neural Networks Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi
2011	J	`jnl`	Neural networks for relational learning: an experimental comparison. Mach. Learn. Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli
2011	J	`jnl`	SortNet: Learning to Rank by a Neural Preference Function. IEEE Trans. Neural Networks Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli
2010	B	`conf`	Learning long-term dependencies using layered graph neural networks. IJCNN Niccoló Bandinelli, Monica Bianchini, Franco Scarselli
2010	—	`conf`	Sentence Extraction by Graph Neural Networks. ICANN (3) Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2010	—	`conf`	Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2009	—	`ch.`	Advances in Neural Information Processing Paradigms. Innovations in Neural Information Paradigms and Applications Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain
2009	—	`ch.`	Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. Multimedia Techniques for Device and Ambient Intelligence Monica Bianchini, Franco Scarselli
2009	J	`jnl`	Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
2009	—	`book`	Innovations in Neural Information Paradigms and Applications Innovations in Neural Information Paradigms and Applications Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain
2009	J	`jnl`	Pattern recognition in graphical domains. Neurocomputing Monica Bianchini, Franco Scarselli
2009	—	`conf`	Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2009	J	`jnl`	The Graph Neural Network Model. IEEE Trans. Neural Networks Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
2007	A*	`conf`	An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering. IJCAI Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli
2006	B	`conf`	A Comparison between Recursive Neural Networks and Graph Neural Networks. IJCNN Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori
2006	B	`conf`	A Self-Organising Map Approach for Clustering of XML Documents. IJCNN Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli
2006	A	`conf`	Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering. ECAI Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli
2006	J	`jnl`	Computing customized page ranks. ACM Trans. Internet Techn. Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli
2006	—	`conf`	Document Mining Using Graph Neural Network. INEX Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori
2006	A	`conf`	Graph Neural Networks for Object Localization. ECAI Gabriele Monfardini, Vincenzo Di Massa, Franco Scarselli, Marco Gori
2006	J	`jnl`	Recursive processing of cyclic graphs. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2006	—	`conf`	XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori
2005	C	`conf`	A Neural Network Approach to Web Graph Processing. APWeb Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong
2005	B	`conf`	A new model for learning in graph domains. IJCNN Marco Gori, Gabriele Monfardini, Franco Scarselli
2005	—	`conf`	Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
2005	—	`conf`	Clustering XML Documents Using Self-organizing Maps for Structures. INEX Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori
2005	—	`conf`	Graph Neural Networks for Ranking Web Pages. Web Intelligence Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini
2005	J	`jnl`	Inside PageRank. ACM Trans. Internet Techn. Monica Bianchini, Marco Gori, Franco Scarselli
2005	—	`conf`	Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2005	J	`jnl`	Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2005	J	`jnl`	Recursive neural networks learn to localize faces. Pattern Recognit. Lett. Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2004	—	`conf`	Computing personalized pageranks. WWW (Alternate Track Papers & Posters) Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
2004	—	`conf`	Design of a crawler with bounded bandwidth. WWW (Alternate Track Papers & Posters) Michelangelo Diligenti, Marco Maggini, Filippo Maria Pucci, Franco Scarselli
2004	—	`conf`	Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner
2004	B	`conf`	Recursive networks for processing graphs with labelled edges. ESANN Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2004	B	`conf`	Recursive neural networks for object detection. IJCNN Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli
2003	J	`jnl`	A Hybrid Model for the Prediction of the Linguistic Origin of Surnames. IEEE Trans. Knowl. Data Eng. Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng
2003	—	`conf`	A Simple Focused Crawler. WWW (Posters) Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli
2003	A*	`conf`	Adaptive ranking of web pages. WWW Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini
2003	B	`conf`	An introduction to learning in web domains. ESANN Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi
2003	—	`conf`	BackPropagation through Cyclic Structures. AI*IA Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli
2003	—	`conf`	Face Localization with Recursive Neural Networks. WIRN Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli
2003	—	`conf`	PageRank and Web Communities. Web Intelligence Monica Bianchini, Marco Gori, Franco Scarselli
2001	A	`conf`	Classification of HTML Documents by Hidden Tree-Markov Models. ICDAR Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli
2001	J	`jnl`	Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks Monica Bianchini, Marco Gori, Franco Scarselli
2001	—	`conf`	Recursive Processing of Directed Acyclic Graphs. WIRN Monica Bianchini, Marco Gori, Franco Scarselli
2001	B	`conf`	Searching the Web: learning based techniques. ESANN Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli
2000	B	`conf`	Computational capabilities of linear recursive networks. KES Monica Bianchini, Marco Gori, Franco Scarselli
2000	—	`conf`	Learning User Profiles in NAUTILUS. AH Marco Gori, Marco Maggini, Enrico Martinelli, Franco Scarselli
1999	B	`conf`	A connectionist-based model for predicting the linguistic origin of surnames. IJCNN Patrizia Bonaventura, Marco Gori, Franco Scarselli, Pierluigi Salza, Jianqing Sheng
1998	J	`jnl`	Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification? IEEE Trans. Pattern Anal. Mach. Intell. Marco Gori, Franco Scarselli
1998	J	`jnl`	On the closure of the set of functions that can be realized by a given multilayer perceptron. IEEE Trans. Neural Networks Marco Gori, Franco Scarselli, Ah Chung Tsoi
1998	J	`jnl`	Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results. Neural Networks Franco Scarselli, Ah Chung Tsoi
1996	—	`conf`	Which classes of functions can a given multilayer perceptron approximate? ICNN Marco Gori, Franco Scarselli, Ah Chung Tsoi
1994	J	`jnl`	Software Process Monitoring Mechanisms in Oikos. Int. J. Softw. Eng. Knowl. Eng. Carlo Montangero, Franco Scarselli