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D-Index & Metrics

Computer Science

D-Index
50
Citations
22565
World Ranking
5470
National Ranking
120

Research.com Recognitions

  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to neural networks and machine learning models for pattern recognition
  • 2001 - IEEE Fellow For contributions to the theory of recurrent neural networks, and applications of neural network-based technologies.

Overview

Marco Gori is affiliated with the University of Siena in Italy and has contributed extensively to the field of computer science, producing 194 publications primarily focused on artificial intelligence and its related areas.

The researcher's work spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Infectious Diseases
  • Oncology
  • Molecular Biology

Main topics explored in their research include:

  • Neural Networks and Applications
  • Topic Modeling
  • Machine Learning and Data Classification
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning

Some of the frequent co-authors collaborating with Marco Gori are:

  • Stefano Melacci
  • Alessandro Betti
  • Matteo Tiezzi
  • Marco Maggini
  • Nicola Picchiotti

Publications have appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Neural Networks
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Lecture Notes in Computer Science

Notable recent papers include:

  • "Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective," 2020, arXiv (Cornell University)
  • "Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in European males," 2021, EBioMedicine
  • "Logic Explained Networks," 2022, Artificial Intelligence
  • "Entropy-Based Logic Explanations of Neural Networks," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Pathogen-sugar interactions revealed by universal saturation transfer analysis," 2022, Science

Marco Gori has contributed to book literature with the publication of Deep Learning to See in 2022 through Springer Nature.

The academic recognitions awarded include:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2014, cited for contributions to neural networks and machine learning models for pattern recognition
  • IEEE Fellow, 2001, recognized for contributions to the theory of recurrent neural networks and their applications

Best Publications

  • The Graph Neural Network Model

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • A new model for learning in graph domains

    M. Gori;G. Monfardini;F. Scarselli

  • Focused Crawling Using Context Graphs

    Michelangelo Diligenti;Frans Coetzee;Steve Lawrence;C. Lee Giles

  • On the problem of local minima in backpropagation

    M. Gori;A. Tesi

  • Inside PageRank

    Monica Bianchini;Marco Gori;Franco Scarselli

  • A general framework for adaptive processing of data structures

    P. Frasconi;M. Gori;A. Sperduti

  • Learning without local minima in radial basis function networks

    M. Bianchini;P. Frasconi;M. Gori

  • ItemRank: a random-walk based scoring algorithm for recommender engines

    Marco Gori;Augusto Pucci

  • A survey of hybrid ANN/HMM models for automatic speech recognition

    Edmondo Trentin;Marco Gori

  • Local feedback multilayered networks

    Paolo Frasconi;Marco Gori;Giovanni Soda

  • Artificial neural networks for document analysis and recognition

    S. Marinai;M. Gori;G. Soda

  • Computational Capabilities of Graph Neural Networks

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • Exact and approximate graph matching using random walks

    M. Gori;M. Maggini;L. Sarti

  • Research Paper Recommender Systems: A Random-Walk Based Approach

    M. Gori;A. Pucci

  • Recognition of common areas in a Web page using visual information: a possible application in a page classification

    M. Kovacevic;M. Diligenti;M. Gori;V. Milutinovic

  • A neural network-based model for paper currency recognition and verification

    A. Frosini;M. Gori;P. Priami

  • Hidden tree Markov models for document image classification

    M. Diligenti;P. Frasconi;M. Gori

  • Semantic-based regularization for learning and inference

    Michelangelo Diligenti;Marco Gori;Claudio Saccà

  • Are multilayer perceptrons adequate for pattern recognition and verification

    M. Gori;F. Scarselli

  • Adaptive Processing of Sequences and Data Structures

    C. Lee Giles;Marco Gori

Frequent Co-Authors

Paolo Frasconi
Paolo Frasconi University of Florence
Alessandro Sperduti
Alessandro Sperduti University of Padua
Ah Chung Tsoi
Ah Chung Tsoi University of Wollongong
Ian H. Witten
Ian H. Witten University of Waikato
Alessandra Renieri
Alessandra Renieri University of Siena
Francesca Mari
Francesca Mari University of Siena
Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
C. Lee Giles
C. Lee Giles Pennsylvania State University
Vincenzo Piuri
Vincenzo Piuri University of Milan
Stefano Ceri
Stefano Ceri Polytechnic University of Milan

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