Moloud Abdar

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	9289	8903
h-index	39	39
i10-index	66	66

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaE-mail megerősítve itt: usq.edu.au
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityE-mail megerősítve itt: ieee.org
Vladimir MakarenkovUniversité du Québec à MontréalE-mail megerősítve itt: uqam.ca
Paweł PławiakCracow University of TechnologyE-mail megerősítve itt: pk.edu.pl
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord UniversityE-mail megerősítve itt: eng.sku.ac.ir
Mariam ZomorodiCracow University of TechnologyE-mail megerősítve itt: pk.edu.pl
Neil YenAssociate Professor of Computer Science, University of Aizu, JapanE-mail megerősítve itt: u-aizu.ac.jp
Shahla NematiAssistant Professor, Shahrekord UniversityE-mail megerősítve itt: sku.ac.ir
Nizal SarrafzadeganProf of Cardiology ,Cardiovascular Research Institute, Isfahan University of Medical SciencesE-mail megerősítve itt: med.mui.ac.ir
Farhad PourpanahSenior Member of IEEE, Queen's UniversityE-mail megerősítve itt: queensu.ca
Mohammad GhavamzadehAmazon AGIE-mail megerősítve itt: amazon.com
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporeE-mail megerősítve itt: ntu.edu.sg
Bogdan MazoureApple MLR, MilaE-mail megerősítve itt: apple.com
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of WaterlooE-mail megerősítve itt: uwaterloo.ca
Thang DoanSnorkel AIE-mail megerősítve itt: mail.mcgill.ca
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKE-mail megerősítve itt: qu.edu.qa
HK Lam, Hak Keung LamDepartment of Engineering, King's College LondonE-mail megerősítve itt: kcl.ac.uk
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringE-mail megerősítve itt: manchester.ac.uk
Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology MumbaiE-mail megerősítve itt: iitb.ac.in
petia radevaFull professor, University of Barcelona, Senior Researcher Barcelona Supercomputing CenterE-mail megerősítve itt: ub.edu

Követés

Moloud Abdar

Alfred Deakin Postdoctoral Research Fellow, Deakin University, Australia

E-mail megerősítve itt: deakin.edu.au - Kezdőlap

Machine Learning Deep Learning Computer Vision Sentiment Analysis Data Mining


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	2461	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	774	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	442	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	360	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	271	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	236	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	220	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	209	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	196	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	177	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	151	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	146	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	134	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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