Moloud Abdar

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	전체	2020년 이후
서지정보	9258	8871
h-index	39	39
i10-index	66	66

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, Australiausq.edu.au의 이메일 확인됨
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard Universityieee.org의 이메일 확인됨
Vladimir MakarenkovUniversité du Québec à Montréaluqam.ca의 이메일 확인됨
Paweł PławiakCracow University of Technologypk.edu.pl의 이메일 확인됨
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord Universityeng.sku.ac.ir의 이메일 확인됨
Mariam ZomorodiCracow University of Technologypk.edu.pl의 이메일 확인됨
Neil YenAssociate Professor of Computer Science, University of Aizu, Japanu-aizu.ac.jp의 이메일 확인됨
Shahla NematiAssistant Professor, Shahrekord Universitysku.ac.ir의 이메일 확인됨
Nizal SarrafzadeganProf of Cardiology ,Cardiovascular Research Institute, Isfahan University of Medical Sciencesmed.mui.ac.ir의 이메일 확인됨
Farhad PourpanahSenior Member of IEEE, Queen's Universityqueensu.ca의 이메일 확인됨
Mohammad GhavamzadehAmazon AGIamazon.com의 이메일 확인됨
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU Singaporentu.edu.sg의 이메일 확인됨
Bogdan MazoureApple MLR, Milaapple.com의 이메일 확인됨
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of Waterloouwaterloo.ca의 이메일 확인됨
Thang DoanSnorkel AImail.mcgill.ca의 이메일 확인됨
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKqu.edu.qa의 이메일 확인됨
HK Lam, Hak Keung LamDepartment of Engineering, King's College Londonkcl.ac.uk의 이메일 확인됨
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan Turingmanchester.ac.uk의 이메일 확인됨
Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology Mumbaiiitb.ac.in의 이메일 확인됨
petia radevaFull professor, University of Barcelona, Senior Researcher Barcelona Supercomputing Centerub.edu의 이메일 확인됨

팔로우

Moloud Abdar

Alfred Deakin Postdoctoral Research Fellow, Deakin University, Australia

deakin.edu.au의 이메일 확인됨 - 홈페이지

Machine Learning Deep Learning Computer Vision Sentiment Analysis Data Mining


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information Fusion 76, 243-297, 2021	2440	2021
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya Future Generation Computer Systems 115, 279-294, 2021	775	2021
A review of generalized zero-shot learning methods F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, CP Lim, XZ Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022	439	2022
A new machine learning technique for an accurate diagnosis of coronary artery disease M Abdar, W Książek, UR Acharya, RS Tan, V Makarenkov, P Pławiak Computer methods and programs in biomedicine 179, 104992, 2019	363	2019
Machine learning-based coronary artery disease diagnosis: A comprehensive review R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ... Computers in biology and medicine 111, 103346, 2019	270	2019
Automated detection of autism spectrum disorder using a convolutional neural network Z Sherkatghanad, M Akhondzadeh, S Salari, M Zomorodi-Moghadam, ... Frontiers in neuroscience 13, 1325, 2020	258	2020
A new nested ensemble technique for automated diagnosis of breast cancer M Abdar, M Zomorodi-Moghadam, X Zhou, R Gururajan, X Tao, PD Barua, ... Pattern Recognition Letters 132, 123-131, 2020	237	2020
Performance analysis of classification algorithms on early detection of liver disease M Abdar, M Zomorodi-Moghadam, R Das, IH Ting Expert Systems with Applications 67, 239-251, 2017	221	2017
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ... Computers in biology and medicine 135, 104418, 2021	219	2021
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets ME Basiri, S Nemati, M Abdar, S Asadi, UR Acharrya Knowledge-Based Systems 228, 107242, 2021	208	2021
Spinalnet: Deep neural network with gradual input HMD Kabir, M Abdar, A Khosravi, SMJ Jalali, AF Atiya, S Nahavandi, ... IEEE Transactions on Artificial Intelligence 4 (5), 1165-1177, 2022	194	2022
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring P Pławiak, M Abdar, UR Acharya Applied Soft Computing 84, 105740, 2019	176	2019
Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015	174	2015
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya Information Sciences 516, 401-418, 2020	155	2020
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques ME Basiri, M Abdar, MA Cifci, S Nemati, UR Acharya Knowledge-Based Systems 198, 105949, 2020	150	2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020) R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, ... Annals of Operations Research, 1-42, 2021	144	2021
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer M Abdar, V Makarenkov Measurement 146, 557-570, 2019	138	2019
A novel machine learning approach for early detection of hepatocellular carcinoma patients W Książek, M Abdar, UR Acharya, P Pławiak Cognitive Systems Research 54, 116-127, 2019	138	2019
Improving the diagnosis of liver disease using multilayer perceptron neural network and boosted decision trees M Abdar, NY Yen, JCS Hung Journal of Medical and Biological Engineering 38 (6), 953-965, 2018	135	2018
UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection M Abdar, S Salari, S Qahremani, HK Lam, F Karray, S Hussain, ... Information Fusion 90, 364-381, 2023	129	2023

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