SPERDUTI, ALESSANDRO
SPERDUTI, ALESSANDRO
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A framework for the definition of complex structured feature spaces
2020 Navarin, N.; Tran, V. D.; Sperduti, A.
A general framework for adaptive processing of data structures
1998 Frasconi, P.; Gori, M.; Sperduti, Alessandro
A general framework for unsupervised processing of structured data
2004 B., Hammer; A., Micheli; M., Strickert; Sperduti, Alessandro
A Neural Network Model for Associative Access of Structures
1995 Sperduti, Alessandro; A., Starita
A Preliminary Empirical Comparison of Recursive Neural Networks and Tree kernel Methods on Regression Tasks for Tree Structured Domains
2005 A., Micheli; F., Portera; Sperduti, Alessandro
A Re-weighting Strategy for Improving Margins
2002 Aiolli, Fabio; Sperduti, Alessandro
A Self-organizing Map for Adaptive Processing of Structured Data
2003 Hagenbuchner, M; Sperduti, Alessandro; Tsoi, A. C.
A System for the Automatic Morphological Analysis of Mediaeval Manuscripts
1996 F., Masulli; D., Sona; Sperduti, Alessandro; A., Starita; G., Zaccagnini
A unified framework for backpropagation-free soft and hard gated graph neural networks
2024 Pasa, Luca; Navarin, Nicolo; Erb, Wolfgang; Sperduti, Alessandro
Acquiring both constraint and solution preferences in interactive constraint systems
2004 Rossi, Francesca; Sperduti, Alessandro
Aligning and linking entity mentions in image, text, and knowledge base
2022 Dost, S.; Serafini, L.; Rospocher, M.; Ballan, L.; Sperduti, A.
An Efficient Topological Distance-Based Tree Kernel
2015 Aiolli, Fabio; DA SAN MARTINO, Giovanni; Sperduti, Alessandro
An empirical study on budget-aware online kernel algorithms for streams of graphs
2016 DA SAN MARTINO, Giovanni; Navarin, Nicolo'; Sperduti, Alessandro
An input–output hidden Markov model for tree transductions
2013 Davide, Bacciu; Alessio, Micheli; Sperduti, Alessandro
An Introduction to Recursive Neural Networks and Kernel Methods for Cheminformatics
2007 A., Micheli; Sperduti, Alessandro; A., Starita
Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to QSAR Studies of Benzodiazepines
2001 BIANUCCI A., M; Micheli, A; Sperduti, Alessandro; Starita, A.
Application of Cascade-Correlation Networks for Structures to Chemistry
2000 Bianucci, A. M.; Micheli, A; Sperduti, Alessandro; Starita, A.
Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’ (Nature, (2020), 584, 7821, (425-429), 10.1038/s41586-020-2488-1)
2021 Lavezzo, E.; Franchin, E.; Ciavarella, C.; Cuomo-Dannenburg, G.; Barzon, L.; Del Vecchio, C.; Rossi, L.; Manganelli, R.; Loregian, A.; Navarin, N.; Abate, D.; Sciro, M.; Merigliano, S.; De Canale, E.; Vanuzzo, M. C.; Besutti, V.; Saluzzo, F.; Onelia, F.; Pacenti, M.; Parisi, S. G.; Carretta, G.; Donato, D.; Flor, L.; Cocchio, S.; Masi, G.; Sperduti, A.; Cattarino, L.; Salvador, R.; Nicoletti, M.; Caldart, F.; Castelli, G.; Nieddu, E.; Labella, B.; Fava, L.; Drigo, M.; Gaythorpe, K. A. M.; Ainslie, K. E. C.; Baguelin, M.; Bhatt, S.; Boonyasiri, A.; Boyd, O.; Coupland, H. L.; Cucunuba, Z.; Djafaara, B. A.; van Elsland, S. L.; Fitzjohn, R.; Flaxman, S.; Green, W. D.; Hallett, T.; Hamlet, A.; Haw, D.; Imai, N.; Jeffrey, B.; Knock, E.; Laydon, D. J.; Mellan, T.; Mishra, S.; Nedjati-Gilani, G.; Nouvellet, P.; Okell, L. C.; Parag, K. V.; Riley, S.; Thompson, H. A.; Unwin, H. J. T.; Verity, R.; Vollmer, M. A. C.; Walker, P. G. T.; Walters, C. E.; Wang, H.; Wang, Y.; Watson, O. J.; Whittaker, C.; Whittles, L. K.; Xi, X.; Brazzale, A. R.; Toppo, S.; Trevisan, M.; Baldo, V.; Donnelly, C. A.; Ferguson, N. M.; Dorigatti, I.; Crisanti, A.
Combining selectivity and affinity predictions using an integrated support vector machine (SVM) approach: a novel tool to discriminate between the human adenosine A(2A) and A(3) receptor pyrazolo-triazolo-pyrimidine antagonists binding sites
2010 Michielan, Lisa; Bolcato, C; Federico, S; Cacciari, B; Bacilieri, Magdalena; Klotz, Kn; Kachler, S; Pastorin, G; Sperduti, Alessandro; Spalluto, G; Moro, Stefano
Combining selectivity and affinity predictions using an integrated Support Vector Machine (SVM) approach: An alternative tool to discriminate between the human adenosine A(2A) and A(3) receptor pyrazolo-triazolo-pyrimidine antagonists binding sites
2009 Michielan, Lisa; Bolcato, C; Federico, S; Cacciari, B; Bacilieri, Magdalena; KLOTZ K., N; Kachler, S; Pastorin, G; Cardin, R; Sperduti, Alessandro; Spalluto, G; Moro, Stefano