default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFranco Scarselli
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j35]Johan Chagnon
, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 591: 127767 (2024)- [j34]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: 106213 (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) - [c52]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) - [i13]Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord:
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. CoRR abs/2403.20105 (2024) - 2023
- [j31]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): 146-153 (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) - [c51]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 - [c50]Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. ICANN (5) 2023: 53-64 - [c49]Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
Going Deeper with Recursive Convolutional Layers. IJCNN 2023: 1-8 - [e3]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - [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) - [i11]Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli:
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm. CoRR abs/2311.01864 (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) - [e2]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos:
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9933-3 [contents] - [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) - [i9]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 abs/2210.03990 (2022) - 2021
- [j24]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450: 242-252 (2021) - [j23]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 460: 59-70 (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) - [i6]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 abs/2112.14792 (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 - [c45]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. ESANN 2020: 133-138 - [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 - [i5]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. CoRR abs/2001.05851 (2020) - [i4]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular graph generation with Graph Neural Networks. CoRR abs/2012.07397 (2020)
2010 – 2019
- 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
- [j19]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks 108: 248-259 (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 - 2017
- [c37]Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang:
A fully recursive perceptron network architecture. SSCI 2017: 1-8 - 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 - 2013
- [j17]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: 78-90 (2013) - 2011
- [j16]Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli:
Neural networks for relational learning: an experimental comparison. Mach. Learn. 82(3): 315-349 (2011) - [j15]Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli:
SortNet: Learning to Rank by a Neural Preference Function. IEEE Trans. Neural Networks 22(9): 1368-1380 (2011) - 2010
- [c33]Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Sentence Extraction by Graph Neural Networks. ICANN (3) 2010: 237-246 - [c32]Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) 2010: 372-381 - [c31]Niccoló Bandinelli, Monica Bianchini, Franco Scarselli:
Learning long-term dependencies using layered graph neural networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j14]Monica Bianchini, Franco Scarselli:
Pattern recognition in graphical domains. Neurocomputing 73(1-3): 177-178 (2009) - [j13]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
The Graph Neural Network Model. IEEE Trans. Neural Networks 20(1): 61-80 (2009) - [j12]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20(1): 81-102 (2009) - [c30]Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX 2009: 449-461 - [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] - 2007
- [c29]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: 2748-2753 - 2006
- [j11]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17(1): 10-18 (2006) - [j10]Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli:
Computing customized page ranks. ACM Trans. Internet Techn. 6(4): 381-414 (2006) - [c28]Gabriele Monfardini, Vincenzo Di Massa, Franco Scarselli, Marco Gori:
Graph Neural Networks for Object Localization. ECAI 2006: 665- - [c27]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: 819-820 - [c26]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: 778-785 - [c25]Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli:
A Self-Organising Map Approach for Clustering of XML Documents. IJCNN 2006: 1805-1812 - [c24]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori:
Document Mining Using Graph Neural Network. INEX 2006: 458-472 - [c23]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: 510-524 - 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) - [c22]Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong:
A Neural Network Approach to Web Graph Processing. APWeb 2005: 27-38 - [c21]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori:
Clustering XML Documents Using Self-organizing Maps for Structures. INEX 2005: 481-496 - [c20]Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini:
Graph Neural Networks for Ranking Web Pages. Web Intelligence 2005: 666-672 - [c19]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS 2005: 38-43 - [c18]Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi:
Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) 2005: 936-937 - 2004
- [c17]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive networks for processing graphs with labelled edges. ESANN 2004: 325-330 - [c16]Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner:
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR 2004: 42-56 - [c15]Michelangelo Diligenti, Marco Maggini, Filippo Maria Pucci, Franco Scarselli:
Design of a crawler with bounded bandwidth. WWW (Alternate Track Papers & Posters) 2004: 292-293 - [c14]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
Computing personalized pageranks. WWW (Alternate Track Papers & Posters) 2004: 382-383 - 2003
- [j6]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): 760-763 (2003) - [c13]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
BackPropagation through Cyclic Structures. AI*IA 2003: 118-129 - [c12]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi:
An introduction to learning in web domains. ESANN 2003: 1-8 - [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 - [c9]Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli:
A Simple Focused Crawler. WWW (Posters) 2003 - [c8]Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini:
Adaptive ranking of web pages. WWW 2003: 356-365 - 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) - [c7]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli:
Searching the Web: learning based techniques. ESANN 2001: 257-264 - [c6]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli:
Classification of HTML Documents by Hidden Tree-Markov Models. ICDAR 2001: 849-853 - [c5]Monica Bianchini, Marco Gori, Franco Scarselli:
Recursive Processing of Directed Acyclic Graphs. WIRN 2001: 96-101 - 2000
- [c4]Marco Gori, Marco Maggini, Enrico Martinelli, Franco Scarselli:
Learning User Profiles in NAUTILUS. AH 2000: 323-326 - [c3]Monica Bianchini, Marco Gori, Franco Scarselli:
Computational capabilities of linear recursive networks. KES 2000: 462-465
1990 – 1999
- 1999
- [c2]Patrizia Bonaventura, Marco Gori, Franco Scarselli, Pierluigi Salza, Jianqing Sheng:
A connectionist-based model for predicting the linguistic origin of surnames. IJCNN 1999: 3040-3045 - 1998
- [j4]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): 15-37 (1998) - [j3]Marco Gori, Franco Scarselli:
Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification? IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1121-1132 (1998) - [j2]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): 1086-1098 (1998) - 1996
- [c1]Marco Gori, Franco Scarselli, Ah Chung Tsoi:
Which classes of functions can a given multilayer perceptron approximate? ICNN 1996: 2226-2231 - 1994
- [j1]Carlo Montangero, Franco Scarselli:
Software Process Monitoring Mechanisms in Oikos. Int. J. Softw. Eng. Knowl. Eng. 4(4): 481-499 (1994)
Coauthor Index
[j33] [j32] [c52] [i15] [i14] [j30] [j29] [c51] [i12] [j28] [j27] [j26] [j25] [i10] [j24] [j22] [c48] [c47] [i8] [i7] [j21] [j20] [c46] [c44] [c43] [i4] [c42] [c41] [p4] [i3] [i2] [i1] [c40] [c39] [c38] [c36] [c35] [p3] [j18] [c34] [c31] [j14] [p2] [p1] [e1] [j11] [j9] [j8] [j7] [c19] [c17] [c13] [c11] [c10] [j5] [c5] [c3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
