Alessandro Sperduti
Alessandro Sperduti
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TitleCited byYear
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
International Conference on Business Process Management, 169-194, 2011
A general framework for adaptive processing of data structures
P Frasconi, M Gori, A Sperduti
IEEE transactions on Neural Networks 9 (5), 768-786, 1998
Supervised neural networks for the classification of structures
A Sperduti, A Starita
IEEE Transactions on Neural Networks 8 (3), 714-735, 1997
A self-organizing map for adaptive processing of structured data
M Hagenbuchner, A Sperduti, AC Tsoi
IEEE transactions on Neural Networks 14 (3), 491-505, 2003
Speed up learning and network optimization with extended back propagation
A Sperduti, A Starita
Neural networks 6 (3), 365-383, 1993
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
Encoding labeled graphs by labeling RAAM
A Sperduti
Advances in Neural Information Processing Systems, 1125-1132, 1994
An improved boosting algorithm and its application to text categorization
F Sebastiani, A Sperduti, N Valdambrini
Proceedings of the ninth international conference on Information and …, 2000
Application of cascade correlation networks for structures to chemistry
AM Bianucci, A Micheli, A Sperduti, A Starita
Applied Intelligence 12 (1-2), 117-147, 2000
Analysis of the internal representations developed by neural networks for structures applied to quantitative structure− activity relationship studies of benzodiazepines
A Micheli, A Sperduti, A Starita, AM Bianucci
Journal of Chemical Information and Computer Sciences 41 (1), 202-218, 2001
PLG: A framework for the generation of business process models and their execution logs
A Burattin, A Sperduti
International Conference on Business Process Management, 214-219, 2010
Multiclass classification with multi-prototype support vector machines
F Aiolli, A Sperduti
Journal of Machine Learning Research 6 (May), 817-850, 2005
Logo recognition by recursive neural networks
E Francesconi, P Frasconi, M Gori, S Marinai, JQ Sheng, G Soda, ...
International Workshop on Graphics Recognition, 104-117, 1997
Theoretical and experimental analysis of a two-stage system for classification
N Giusti, A Sperduti
IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (7), 893-904, 2002
Conformance checking based on multi-perspective declarative process models
A Burattin, FM Maggi, A Sperduti
expert systems with applications 65, 194-211, 2016
Contextual processing of structured data by recursive cascade correlation
A Micheli, D Sona, A Sperduti
IEEE Transactions on Neural Networks 15 (6), 1396-1410, 2004
Control-flow discovery from event streams
A Burattin, A Sperduti, WMP van der Aalst
2014 IEEE Congress on Evolutionary Computation (CEC), 2420-2427, 2014
Time and activity sequence prediction of business process instances
M Polato, A Sperduti, A Burattin, M de Leoni
Computing 100 (9), 1005-1031, 2018
Universal approximation capability of cascade correlation for structures
B Hammer, A Micheli, A Sperduti
Neural Computation 17 (5), 1109-1159, 2005
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