World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
14733
World Ranking
5238
National Ranking
112

Research.com Recognitions

  • 2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to graph based learning and matching techniques, and for service to IAPR.

Overview

Mario Vento is affiliated with the University of Salerno in Italy. Their research primarily focuses on computer science with a specialized emphasis on computer vision and pattern recognition, artificial intelligence, and signal processing. The scientist has also contributed to work in computer networks and communications as well as experimental and cognitive psychology.

Vento's research topics cover a range of areas including:

  • Face recognition and analysis
  • Speech and audio processing
  • Speech recognition and synthesis
  • Music and audio processing
  • Video surveillance and tracking methods
  • Face and expression recognition
  • Emotion and mood recognition

The scientist has frequently published in venues such as:

  • Pattern Recognition Letters
  • Neural Computing and Applications
  • Journal of Ambient Intelligence and Humanized Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers authored by Mario Vento include:

  • "Trends in IoT based solutions for health care: Moving AI to the edge" (2020) published in Pattern Recognition Letters
  • "Age from Faces in the Deep Learning Revolution" (2020) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation" (2020) published in IEEE Transactions on Information Forensics and Security
  • "Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition" (2022) published in Engineering Applications of Artificial Intelligence
  • "A Convolutional Neural Network for Gender Recognition Optimizing the Accuracy/Speed Tradeoff" (2020) published in IEEE Access

Frequent co-authors collaborating with Vento include:

  • Alessia Saggese
  • Antonio Greco
  • Pasquale Foggia
  • Vincenzo Carletti
  • Gennaro Percannella

The scientist's book publications are associated with publishers such as Springer Science+Business Media and Centre National de la Recherche Scientifique. Notable titles include "Computer Analysis of Images and Patterns" (2021), "Image Analysis and Processing - ICIAP 2022" (2022), and "Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition" (2023).

Mario Vento was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2004 for contributions to graph based learning and matching techniques and for service to the organization.

Best Publications

  • THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

    Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento

  • A (sub)graph isomorphism algorithm for matching large graphs

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Trainable COSFIRE filters for vessel delineation with application to retinal images

    George Azzopardi;Nicola Strisciuglio;Mario Vento;Nicolai Petkov

  • An Improved Algorithm for Matching Large Graphs

    L. P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

    Pasquale Foggia;Alessia Saggese;Mario Vento

  • GRAPH MATCHING AND LEARNING IN PATTERN RECOGNITION IN THE LAST 10 YEARS

    Pasquale Foggia;Gennaro Percannella;Mario Vento

  • Performance evaluation of the VF graph matching algorithm

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Trends in IoT based solutions for health care: Moving AI to the edge

    Luca Greco;Gennaro Percannella;Pierluigi Ritrovato;Francesco Tortorella

  • To reject or not to reject: that is the question-an answer in case of neural classifiers

    C. De Stefano;C. Sansone;M. Vento

  • Audio Surveillance of Roads: A System for Detecting Anomalous Sounds

    Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio

  • Benchmarking HEp-2 Cells Classification Methods

    Pasquale Foggia;Gennaro Percannella;Paolo Soda;Mario Vento

  • A Performance Comparison of Five Algorithms for Graph Isomorphism

    P. Foggia;C.Sansone;M. Vento

  • Reliable detection of audio events in highly noisy environments

    Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio

  • Challenging the Time Complexity of Exact Subgraph Isomorphism for Huge and Dense Graphs with VF3

    Vincenzo Carletti;Pasquale Foggia;Alessia Saggese;Mario Vento

  • A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking

    Pasquale Foggia;C Sansone;Mario Vento

  • A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

    Horst Bunke;Pasquale Foggia;C. Guidobaldi;Carlo Sansone

  • Symbol recognition in documents: a collection of techniques?

    Luigi P. Cordella;Mario Vento

  • A long trip in the charming world of graphs for Pattern Recognition

    Mario Vento

  • Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Database of Graphs

    Donatello Conte;Pasquale Foggia;Mario Vento

  • A method for improving classification reliability of multilayer perceptrons

    L.P. Cordella;C. De Stefano;F. Tortorella;M. Vento

Frequent Co-Authors

Pasquale Foggia
Pasquale Foggia University of Salerno
Carlo Sansone
Carlo Sansone University of Naples Federico II
Nicolai Petkov
Nicolai Petkov University of Groningen
Brian C. Lovell
Brian C. Lovell University of Queensland
Vincenzo Loia
Vincenzo Loia University of Salerno
Horst Bunke
Horst Bunke University of Bern
Xiaoyi Jiang
Xiaoyi Jiang University of Münster
Mehrtash Harandi
Mehrtash Harandi Monash University
Piergiulio Cappelletti
Piergiulio Cappelletti University of Naples Federico II
Kaoru Ota
Kaoru Ota Tohoku University

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