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Alessandro Sperduti

Alessandro Sperduti

D-Index & Metrics

Computer Science

D-Index
43
Citations
8790
World Ranking
7912
National Ranking
206

Overview

Alessandro Sperduti is affiliated with the University of Padua in Italy and specializes primarily in Computer Science, with a focus on Artificial Intelligence. Their academic contributions prominently span the subfields of Computer Vision and Pattern Recognition, Molecular Biology, Computational Theory and Mathematics, and Statistical and Nonlinear Physics.

The research topics covered in their work include Advanced Graph Neural Networks, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Complex Network Analysis Techniques, Computational Drug Discovery Methods, Multimodal Machine Learning Applications, and Neural Networks and Reservoir Computing.

Sperduti has published extensively in various venues, frequently contributing to:

  • arXiv (Cornell University)
  • Neurocomputing
  • Neural Computing and Applications
  • IEEE Computational Intelligence Magazine
  • Nature

Some of the recent papers associated with this researcher include:

  • "Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo'" (2020, Nature)
  • "Suppression of COVID-19 outbreak in the municipality of Vo', Italy" (2020, bioRxiv - Cold Spring Harbor Laboratory)
  • "Multi-task learning for the prediction of wind power ramp events with deep neural networks" (2020, Neural Networks)
  • "Conditional Variational Capsule Network for Open Set Recognition" (2021, 2021 IEEE/CVF International Conference on Computer Vision - ICCV)
  • "Multiresolution Reservoir Graph Neural Network" (2021, IEEE Transactions on Neural Networks and Learning Systems)

Frequent collaborative relationships have been established with researchers including:

  • Nicolò Navarin
  • Luca Pasa
  • Davide Rigoni
  • Luciano Serafini
  • Alberto Testolin

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Supervised neural networks for the classification of structures

    A. Sperduti;A. Starita

  • A general framework for adaptive processing of data structures

    P. Frasconi;M. Gori;A. Sperduti

  • A self-organizing map for adaptive processing of structured data

    M. Hagenbuchner;A. Sperduti;Ah Chung Tsoi

  • Conformance checking based on multi-perspective declarative process models

    Andrea Burattin;Fabrizio M. Maggi;Alessandro Sperduti

  • Speed up learning and network optimization with extended back propagation

    Alessandro Sperduti;Antonina Starita

  • Time and activity sequence prediction of business process instances

    Mirko Polato;Alessandro Sperduti;Andrea Burattin;Massimiliano de Leoni

  • Recursive self-organizing network models

    Barbara Hammer;Alessio Micheli;Alessandro Sperduti;Marc Strickert

  • A general framework for unsupervised processing of structured data

    Barbara Hammer;Alessio Micheli;Alessandro Sperduti;Marc Strickert

  • ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications

    Hossein Fereidooni;Mauro Conti;Danfeng Yao;Alessandro Sperduti

  • An improved boosting algorithm and its application to text categorization

    Fabrizio Sebastiani;Alessandro Sperduti;Nicola Valdambrini

  • Data-aware remaining time prediction of business process instances

    M Polato;A Sperduti;A Burattin;de M Massimiliano Leoni

  • Application of Cascade Correlation Networks for Structures toChemistry

    Anna Maria Bianucci;Alessio Micheli;Alessandro Sperduti;Antonina Starita

  • LSTM networks for data-aware remaining time prediction of business process instances

    Nicolo Navarin;Beatrice Vincenzi;Mirko Polato;Alessandro Sperduti

  • PLG: a Framework for the Generation of Business Process Models and their Execution Logs

    Andrea Burattin;Alessandro Sperduti

  • Analysis of the internal representations developed by neural networks for structures applied to quantitative structure--activity relationship studies of benzodiazepines.

    Alessio Micheli;Alessandro Sperduti;Antonina Starita;Anna Maria Bianucci

  • Multiclass Classification with Multi-Prototype Support Vector Machines

    Fabio Aiolli;Alessandro Sperduti

  • Control-flow discovery from event streams

    Andrea Burattin;Alessandro Sperduti;Wil M. P. van der Aalst

  • Logo Recognition by Recursive Neural Networks

    Enrico Francesconi;Paolo Frasconi;Marco Gori;Simone Marinai

  • Heuristics miners for streaming event data

    A Burattin;A Sperduti;van der Wmp Wil Aalst

  • Multi-task learning for the prediction of wind power ramp events with deep neural networks.

    Manuel Dorado-Moreno;Nicolò Navarin;Nicolò Navarin;Pedro Antonio Gutiérrez;Luis Prieto

Frequent Co-Authors

Alessio Micheli
Alessio Micheli University of Pisa
Marco Gori
Marco Gori University of Siena
Ah Chung Tsoi
Ah Chung Tsoi University of Wollongong
Barbara Hammer
Barbara Hammer Bielefeld University
Francesca Rossi
Francesca Rossi IBM (United States)
Paolo Frasconi
Paolo Frasconi University of Florence
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Andrea Crisanti
Andrea Crisanti University of Padua
Christl A. Donnelly
Christl A. Donnelly University of Oxford

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