Moloud Abdar

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaVerified email at usq.edu.au
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityVerified email at ieee.org
Vladimir MakarenkovUniversité du Québec à MontréalVerified email at uqam.ca
Paweł PławiakCracow University of TechnologyVerified email at pk.edu.pl
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord UniversityVerified email at eng.sku.ac.ir
Mariam ZomorodiCracow University of TechnologyVerified email at pk.edu.pl
Neil YenAssociate Professor of Computer Science, University of Aizu, JapanVerified email at u-aizu.ac.jp
Shahla NematiAssistant Professor, Shahrekord UniversityVerified email at sku.ac.ir
Nizal SarrafzadeganProf of Cardiology ,Cardiovascular Research Institute, Isfahan University of Medical SciencesVerified email at med.mui.ac.ir
Farhad PourpanahSenior Member of IEEE, Queen's UniversityVerified email at queensu.ca
Li LiuSenior Member of IEEE and CCFVerified email at nudt.edu.cn
Mohammad GhavamzadehAmazonVerified email at amazon.com
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
Bogdan MazoureApple MLRVerified email at apple.com
Thang DoanSnorkel AIVerified email at mail.mcgill.ca
HK Lam, Hak Keung LamDepartment of Engineering, King's College LondonVerified email at kcl.ac.uk
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of WaterlooVerified email at uwaterloo.ca
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringVerified email at manchester.ac.uk
petia radevaFull professor, University of Barcelona, Senior Researcher Barcelona Supercomputing CenterVerified email at ub.edu

Moloud Abdar

Alfred Deakin Postdoctoral Research Fellow, Deakin University, Australia

Verified email at deakin.edu.au - Homepage

Machine Learning Deep Learning Computer Vision Sentiment Analysis Data Mining


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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	2099	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	707	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	345	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	335	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	252	2019
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	227	2020
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	226	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	212	2017
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	189	2021
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	187	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	179	2022
Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015	171	2015
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	169	2019
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	145	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	139	2020
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer M Abdar, V Makarenkov Measurement 146, 557-570, 2019	133	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	131	2019
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	130	2021
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	127	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	120	2023

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