World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9141
World Ranking
7898
National Ranking
204

Overview

Antonio Liotta is affiliated with the Free University of Bozen-Bolzano in Italy. Their research primarily falls within the field of Computer Science with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications, and Sociology and Political Science.

They have contributed extensively to topics such as Anomaly Detection Techniques and Applications, Complex Network Analysis Techniques, Image Enhancement Techniques, Advanced Image Processing Techniques, Advanced Neural Network Applications, Opinion Dynamics and Social Influence, and Digital Imaging for Blood Diseases.

Recent notable papers authored or co-authored by Liotta include:

  • A systematic review on affective computing: emotion models, databases, and recent advances (2022), published in Information Fusion
  • Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map (2020), published in IEEE Transactions on Broadcasting
  • A systematic review and analysis of deep learning-based underwater object detection (2023), published in Neurocomputing
  • Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning (2022), published in Computer Methods and Programs in Biomedicine
  • Supervised feature selection techniques in network intrusion detection: A critical review (2021), published in Engineering Applications of Artificial Intelligence

Frequent co-authors collaborating with Liotta include:

  • Lucia Cavallaro
  • Wei Song
  • Pasquale De Meo
  • Giacomo Fiumara
  • Ovidiu Bagdasar

Antonio Liotta publishes regularly in various venues, with multiple papers in:

  • arXiv (Cornell University)
  • PLoS ONE
  • IEEE Access
  • Remote Sensing
  • Sensors

In addition to journal articles, Liotta has contributed to book literature with a publication titled "Data Science and Internet of Things" released in 2021 by Springer Science+Business Media.

Best Publications

  • On-Line Building Energy Optimization Using Deep Reinforcement Learning

    Elena Mocanu;Decebal Constantin Mocanu;Phuong H. Nguyen;Antonio Liotta

  • Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

    Decebal Constantin Mocanu;Elena Mocanu;Peter Stone;Phuong H. Nguyen

  • An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

    Pasquale Pace;Gianluca Aloi;Raffaele Gravina;Giuseppe Caliciuri

  • Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map

    Wei Song;Yan Wang;Dongmei Huang;Antonio Liotta

  • An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

    Yan Wang;Wei Song;Giancarlo Fortino;Li-Zhe Qi

  • Smart Anomaly Detection in Sensor Systems.

    Laura Erhan;Maryleen U. Ndubuaku;Mario Di Mauro;Wei Song

  • A systematic review and analysis of deep learning-based underwater object detection

    Unknown

  • Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

    L. Erhan;M. Ndubuaku;M. Di Mauro;W. Song

  • Supervised feature selection techniques in network intrusion detection: A critical review

    M. Di Mauro;G. Galatro;G. Fortino;A. Liotta

  • QoE-aware QoS management

    Florence Agboma;Antonio Liotta

  • Experimental Review of Neural-Based Approaches for Network Intrusion Management

    Mario Di Mauro;Giovanni Galatro;Antonio Liotta

  • On management technologies and the potential of Web services

    G. Pavlou;P. Flegkas;S. Gouveris;A. Liotta

  • Spatial anomaly detection in sensor networks using neighborhood information

    Hedde Hwj Bosman;Giovanni Iacca;Arturo Tejada;Heinrich J. Wörtche

  • Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach

    Giancarlo Fortino;Claudio Savaglio;Carlos E. Palau;Jara Suarez de Puga

  • Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

    Claudio Savaglio;Pasquale Pace;Gianluca Aloi;Antonio Liotta

  • An adaptive multi-constraint partitioning algorithm for offloading in pervasive systems

    S. Ou;K. Yang;A. Liotta

  • Predicting quality of experience in multimedia streaming

    Vlado Menkovski;Adetola Oredope;Antonio Liotta;Antonio Cuadra Sánchez

  • Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection

    Yanling Du;Yanling Du;Wei Song;Qi He;Dongmei Huang

  • Exploiting agent mobility for large-scale network monitoring

    A. Liotta;G. Pavlou;G. Knight

  • Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks

    S. Sivavakeesar;G. Pavlou;A. Liotta

  • Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

    Francesco Cauteruccio;Giancarlo Fortino;Antonio Guerrieri;Antonio Liotta

  • Quality of experience management in mobile content delivery systems

    Florence Agboma;Antonio Liotta

  • A topological insight into restricted Boltzmann machines

    Decebal Constantin Mocanu;Elena Mocanu;Phuong H. Nguyen;Madeleine Gibescu

Frequent Co-Authors

Giancarlo Fortino
Giancarlo Fortino University of Calabria
George Pavlou
George Pavlou University College London
Mohammed Ghanbari
Mohammed Ghanbari University of Essex
Pasquale De Meo
Pasquale De Meo University of Messina
Madeleine Gibescu
Madeleine Gibescu Utrecht University
Kun Yang
Kun Yang University of Essex
A.M.J. Koonen
A.M.J. Koonen Eindhoven University of Technology
Peter Stone
Peter Stone The University of Texas at Austin
Raffaele Gravina
Raffaele Gravina University of Calabria
David Sheffield
David Sheffield University of Derby

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