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D-Index & Metrics

Computer Science

D-Index
40
Citations
4859
World Ranking
9441
National Ranking
272

Overview

Vincenzo Moscato is affiliated with the University of Naples Federico II in Italy. Their primary research area lies within Computer Science, with a notable focus on Artificial Intelligence, which constitutes a significant portion of their published work. They have also contributed to the fields of Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science, and Molecular Biology.

Moscato's research spans several key topics, including Complex Network Analysis Techniques, Topic Modeling, Spam and Phishing Detection, Misinformation and Its Impacts, Explainable Artificial Intelligence (XAI), Machine Learning in Healthcare, and Natural Language Processing Techniques.

Their recent publications include:

  • A benchmark of machine learning approaches for credit score prediction, 2020, Expert Systems with Applications
  • An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak, 2020, IEEE Transactions on Big Data
  • An Emotional Recommender System for Music, 2020, IEEE Intelligent Systems
  • Deep Learning for HDD Health Assessment: An Application Based on LSTM, 2020, IEEE Transactions on Computers
  • A survey about community detection over On-line Social and Heterogeneous Information Networks, 2021, Knowledge-Based Systems

Frequent co-authors collaborating with Moscato include:

  • Giancarlo Sperlí
  • Marco Postiglione
  • Valerio La Gatta
  • Antonio Galli
  • Antonino Ferraro

Moscato's work is often published in prominent venues such as:

  • Expert Systems with Applications
  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • IEEE Intelligent Systems
  • Computers & Security

Best Publications

  • A benchmark of machine learning approaches for credit score prediction

    Vincenzo Moscato;Antonio Picariello;Giancarlo Sperlí

  • Foveated shot detection for video segmentation

    G. Boccignone;A. Chianese;V. Moscato;A. Picariello

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video

    Massimiliano Albanese;Rama Chellappa;Vincenzo Moscato;Antonio Picariello

  • An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak

    Valerio La Gatta;Vincenzo Moscato;Marco Postiglione;Giancarlo Sperli

  • The Talking Museum Project

    Flora Amato;Angelo Chianese;Antonino Mazzeo;Vincenzo Moscato

  • SOS: A multimedia recommender System for Online Social networks

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Piccialli

  • A collaborative user-centered framework for recommending items in Online Social Networks

    Francesco Colace;Massimo De Santo;Luca Greco;Vincenzo Moscato

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video*

    Unknown

  • A Multimedia Recommender System

    Massimiliano Albanese;Antonio d’Acierno;Vincenzo Moscato;Fabio Persia

  • An Emotional Recommender System for Music

    Vincenzo Moscato;Antonio Picariello;Giancarlo Sperli

  • Recommending multimedia visiting paths in cultural heritage applications

    Ilaria Bartolini;Vincenzo Moscato;Ruggero G. Pensa;Antonio Penta

  • An Edge Intelligence Empowered Recommender System Enabling Cultural Heritage Applications

    Xin Su;Giancarlo Sperli;Vincenzo Moscato;Antonio Picariello

  • Recognizing human behaviours in online social networks

    Flora Amato;Aniello Castiglione;Aniello De Santo;Vincenzo Moscato

  • Deep Learning for HDD health assessment: an application based on LSTM

    Aniello De santo;Antonio Galli;Michela Gravina;Vincenzo Moscato

  • SNOPS: a smart environment for cultural heritage applications

    Flora Amato;Angelo Chianese;Vincenzo Moscato;Antonio Picariello

  • Exploiting Cloud Technologies and Context Information for Recommending Touristic Paths

    Flora Amato;Antonino Mazzeo;Vincenzo Moscato;Antonio Picariello

  • A survey about community detection over On-line Social and Heterogeneous Information Networks

    Vincenzo Moscato;Giancarlo Sperlì

  • SmARTweet: A Location-Based Smart Application for Exhibits and Museums

    Angelo Chianese;Fiammetta Marulli;Vincenzo Moscato;Francesco Piccialli

  • A Multimedia Semantic Recommender System for Cultural Heritage Applications

    Massimiliano Albanese;Antonio d'Acierno;Vincenzo Moscato;Fabio Persia

  • Big Data Meets Digital Cultural Heritage: Design and Implementation of SCRABS, A Smart Context-awaRe Browsing Assistant for Cultural EnvironmentS

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Colace

  • Terminological ontology learning and population using latent Dirichlet allocation

    Francesco Colace;Massimo De Santo;Luca Greco;Flora Amato

  • Chatbots Meet eHealth: Automatizing Healthcare

    Flora Amato;Stefano Marrone;Vincenzo Moscato;Gabriele Piantadosi

Frequent Co-Authors

Antonio Picariello
Antonio Picariello University of Naples Federico II
Flora Amato
Flora Amato University of Naples Federico II
Carlo Sansone
Carlo Sansone University of Naples Federico II
Aniello Castiglione
Aniello Castiglione University of Salerno
Francesco Piccialli
Francesco Piccialli University of Naples Federico II
Letizia Tanca
Letizia Tanca Polytechnic University of Milan
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Daniele Riccio
Daniele Riccio University of Naples Federico II
Antonio Pescape
Antonio Pescape University of Naples Federico II
Leopoldo Angrisani
Leopoldo Angrisani University of Naples Federico II

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