Alessandro Sperduti
Affiliations: | 1995-2002 | University of Pisa, Pisa, Toscana, Italy | |
| 2002- | University of Padova, Padova, Veneto, Italy |
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"Alessandro Sperduti"Children
Sign in to add trainee| Davide Rigoni | grad student | 2019-2023 | (E-Tree) |
| Giovanni Da San Martino | post-doc | 2010-2014 | University of Padova |
| Massimiliano de Leoni | post-doc | 2013-2014 | University of Padova |
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Publications
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| Rigoni D, Yaddehige S, Bianchi N, et al. (2024) TumFlow: An AI Model for Predicting New Anticancer Molecules. International Journal of Molecular Sciences. 25 |
| Pasa L, Navarin N, Erb W, et al. (2023) Empowering Simple Graph Convolutional Networks. Ieee Transactions On Neural Networks and Learning Systems |
| Pasa L, Navarin N, Sperduti A. (2021) Multiresolution Reservoir Graph Neural Network. Ieee Transactions On Neural Networks and Learning Systems |
| Tran VD, Sperduti A, Backofen R, et al. (2020) Heterogeneous networks integration for disease-gene prioritization with node kernels. Bioinformatics (Oxford, England). 36: 2649-2656 |
| Dorado-Moreno M, Navarin N, Gutiérrez PA, et al. (2020) Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 123: 401-411 |
| Navarin N, Tran VD, Sperduti A. (2020) A framework for the definition of complex structured feature spaces Neurocomputing |
| Da San Martino G, Sperduti A, Aiolli F, et al. (2019) Efficient Online Learning for Mapping Kernels on Linguistic Structures Proceedings of the Aaai Conference On Artificial Intelligence. 33: 3421-3428 |
| Kalenkova AA, Burattin A, Leoni Md, et al. (2019) Discovering high-level BPMN process models from event data Business Process Management Journal. 25: 995-1019 |
| Bacciu D, Micheli A, Sperduti A. (2018) Generative Kernels for Tree-Structured Data. Ieee Transactions On Neural Networks and Learning Systems. 29: 4932-4946 |
| Oneto L, Navarin N, Donini M, et al. (2018) Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. Ieee Transactions On Neural Networks and Learning Systems. 29: 4660-4671 |