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2025

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Rising Stars

D-Index
39
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5652
World Ranking
694
National Ranking
42

Computer Science

D-Index
41
Citations
8703
World Ranking
8718
National Ranking
266

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Moloud Abdar is affiliated with Deakin University in Australia and focuses on research within the field of Computer Science, particularly in Artificial Intelligence. Their publication record includes 82 works in Computer Science, with 60 specifically covering Artificial Intelligence. Subfields of their expertise include Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Sociology and Political Science.

The main research topics associated with Moloud Abdar comprise:

  • Anomaly Detection Techniques and Applications
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Machine Learning and Data Classification
  • EEG and Brain-Computer Interfaces
  • Metaheuristic Optimization Algorithms Research
  • Adversarial Robustness in Machine Learning

Moloud Abdar has published notable papers which include:

  • A review of uncertainty quantification in deep learning: Techniques, applications and challenges (2021) in Information Fusion
  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning (2021) in Computers in Biology and Medicine

Frequent co-authors collaborating with Moloud Abdar are:

  • Abbas Khosravi
  • Saeid Nahavandi
  • U. Rajendra Acharya
  • Vladimir Makarenkov
  • Paweł Pławiak

The venues where Moloud Abdar has frequently published include:

  • arXiv (Cornell University)
  • Information Fusion
  • Knowledge-Based Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Computers in Biology and Medicine

In addition to journal publications, Moloud Abdar has contributed to book literature, including a title published by Springer Nature:

  • Application of Machine Learning and Deep Learning Methods to Power System Problems (2021)

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

    Mohammad Ehsan Basiri;Shahla Nemati;Moloud Abdar;Erik Cambria

  • A Review of Generalized Zero-Shot Learning Methods

    Unknown

  • A new machine learning technique for an accurate diagnosis of coronary artery disease

    Moloud Abdar;Wojciech Książek;U Rajendra Acharya;U Rajendra Acharya;U Rajendra Acharya;Ru-San Tan

  • Machine learning-based coronary artery disease diagnosis: A comprehensive review.

    Roohallah Alizadehsani;Moloud Abdar;Mohamad Roshanzamir;Abbas Khosravi

  • Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network.

    Zeinab Sherkatghanad;Mohammadsadegh Akhondzadeh;Soorena Salari;Mariam Zomorodi-Moghadam

  • A new nested ensemble technique for automated diagnosis of breast cancer

    Moloud Abdar;Mariam Zomorodi-Moghadam;Xujuan Zhou;Raj Gururajan

  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    Moloud Abdar;Maryam Samami;Sajjad Dehghani Mahmoodabad;Thang Doan

  • Performance analysis of classification algorithms on early detection of liver disease

    Moloud Abdar;Mariam Zomorodi-Moghadam;Resul Das;I-Hsien Ting

  • A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

    Mohammad Ehsan Basiri;Shahla Nemati;Moloud Abdar;Somayeh Asadi

  • Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

    Paweł Pławiak;Moloud Abdar;U. Rajendra Acharya

  • Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases

    Moloud Abdar;Sharareh R. Niakan Kalhori;Tole Sutikno;Imam Much Ibnu Subroto

  • SpinalNet: Deep Neural Network with Gradual Input.

    H M Dipu Kabir;Moloud Abdar;Seyed Mohammad Jafar Jalali;Abbas Khosravi

  • DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

    Paweł Pławiak;Moloud Abdar;Joanna Pławiak;Vladimir Makarenkov

  • A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques

    Mohammad Ehsan Basiri;Moloud Abdar;Mehmet Aakif Cifci;Shahla Nemati

  • Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees

    Moloud Abdar;Neil Yuwen Yen;Jason Chi-Shun Hung

  • A novel machine learning approach for early detection of hepatocellular carcinoma patients

    Wojciech Książek;Moloud Abdar;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Paweł Pławiak

  • SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data

    Unknown

  • FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

    Mohamed Abdel-Basset;Victor Chang;Hossam Hawash;Ripon Kumar Chakrabortty

  • CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

    Moloud Abdar;Vladimir Makarenkov

  • Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

    Elham Nasarian;Moloud Abdar;Mohammad Amin Fahami;Roohallah Alizadehsani

  • Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease

    Azhar Hussein Alkeshuosh;Mariam Zomorodi Moghadam;Inas Al Mansoori;Moloud Abdar

  • A Review of Generalized Zero-Shot Learning Methods.

    Farhad Pourpanah;Moloud Abdar;Yuxuan Luo;Xinlei Zhou

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Abbas Khosravi
Abbas Khosravi Deakin University
Vladimir Makarenkov
Vladimir Makarenkov University of Quebec at Montreal
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Amir F. Atiya
Amir F. Atiya Cairo University
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Paul Fieguth
Paul Fieguth University of Waterloo
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)

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