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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
77
Citations
23445
World Ranking
1275
National Ranking
74

Research.com Recognitions

  • 2023 - Research.com Computer Science in United Kingdom Leader Award

Overview

Amir Hussain is affiliated with Edinburgh Napier University in the United Kingdom. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and related subfields. The volume of their work includes publishing in areas such as artificial intelligence, computer vision and pattern recognition, signal processing, aerospace engineering, and cognitive neuroscience.

Their scholarly contributions cover main topics such as speech and audio processing, advanced neural network applications, topic modeling, sentiment analysis and opinion mining, advanced text analysis techniques, video surveillance and tracking methods, and advanced synthetic aperture radar imaging techniques.

Amir Hussain has co-authored numerous papers with frequent collaborators including Enrique Herrera-Viedma, Kia Dashtipour, Mandar Gogate, Giancarlo Fortino, and Sam Kwong.

They have published work in several prominent venues:

  • IEEE Transactions on Systems Man and Cybernetics Systems (42 publications)
  • arXiv (Cornell University) (38 publications)
  • Cognitive Computation (25 publications)
  • Neurocomputing (21 publications)
  • Expert Systems (18 publications)

Examples of recent papers authored or co-authored by Amir Hussain include:

  • "Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study" (2021) published in Journal of Medical Internet Research
  • "Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence" (2023) published in Cognitive Computation
  • "Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions" (2022) published in Information Fusion
  • "Deep learning in mining biological data" (2021) published in Nottingham Trent University's Institutional Repository
  • "Big data and IoT-based applications in smart environments: A systematic review" (2020) published in Computer Science Review

Amir Hussain has contributed to book publications. These include works published by Springer International Publishing and Cambridge University Press. Specifically, the titles published in 2024 by Springer are both named "Artificial Intelligence, Data Science and Applications." Additionally, there is a title named "Scripture People" published in 2023 by Cambridge University Press.

Best Publications

  • A review of affective computing

    Soujanya Poria;Erik Cambria;Rajiv Bajpai;Amir Hussain

  • Applications of Deep Learning and Reinforcement Learning to Biological Data

    Mufti Mahmud;Mohammed Shamim Kaiser;Amir Hussain;Stefano Vassanelli

  • Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Soujanya Poria;Iti Chaturvedi;Erik Cambria;Amir Hussain

  • Fusing audio, visual and textual clues for sentiment analysis from multimodal content

    Soujanya Poria;Erik Cambria;Newton Howard;Guang-Bin Huang

  • Group sparse regularization for deep neural networks

    Simone Scardapane;Danilo Comminiello;Amir Hussain;Aurelio Uncini

  • Agent-based computing from multi-agent systems to agent-based models: a visual survey

    Muaz Niazi;Amir Hussain

  • Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Muhammad Usama;Junaid Qadir;Aunn Raza;Hunain Arif

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M. Shamim Kaiser;T. Martin McGinnity;Amir Hussain

  • SenticNet: A Publicly Available Semantic Resource for Opinion Mining

    Erik Cambria;Robert Speer;Catherine Havasi;Amir Hussain

  • The hourglass of emotions

    Erik Cambria;Andrew Livingstone;Amir Hussain

  • Big data and IoT-based applications in smart environments: A systematic review

    Yosra Hajjaji;Wadii Boulila;Imed Riadh Farah;Imed Romdhani

  • TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection

    Farrukh Aslam Khan;Abdu Gumaei;Abdelouahid Derhab;Amir Hussain

  • Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

    Kia Dashtipour;Soujanya Poria;Amir Hussain;Erik Cambria

  • A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.

    Cosimo Ieracitano;Nadia Mammone;Amir Hussain;Francesco Carlo Morabito

  • Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

    Adnan Amin;Sajid Anwar;Awais Adnan;Muhammad Nawaz

  • Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

    Yukun Ma;Haiyun Peng;Tahir Khan;Erik Cambria

  • SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis

    Erik Cambria;Catherine Havasi;Amir Hussain

  • Sentic Computing: Techniques, Tools, and Applications

    Erik Cambria;Amir Hussain

  • Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

    S. Poria;A. Gelbukh;A. Hussain;N. Howard

  • Customer churn prediction in the telecommunication sector using a rough set approach

    Adnan Amin;Sajid Anwar;Awais Adnan;Muhammad Nawaz

  • Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.

    Amir Hussain;Ahsen Tahir;Zain Hussain;Zakariya Sheikh

  • Towards an intelligent framework for multimodal affective data analysis

    Soujanya Poria;Erik Cambria;Amir Hussain;Guang-Bin Huang

Frequent Co-Authors

Erik Cambria
Erik Cambria Nanyang Technological University
Soujanya Poria
Soujanya Poria Nanyang Technological University
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Mufti Mahmud
Mufti Mahmud Nottingham Trent University
Bin Luo
Bin Luo Anhui University
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Francesco Carlo Morabito
Francesco Carlo Morabito University of Reggio Calabria
Huiyu Zhou
Huiyu Zhou University of Leicester
Francesco Piazza
Francesco Piazza Marche Polytechnic University
John J. Soraghan
John J. Soraghan University of Strathclyde

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