Moloud Abdar 个人学术档案 - 学术资源搜索

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引用	7568	7423
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Rajendra AcharyaProfessor, University of Southern Queensland; Cogninet Australia Pty Ltd, Australia在 usq.edu.au 的电子邮件经过验证
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard University在 ieee.org 的电子邮件经过验证
Vladimir MakarenkovUniversité du Québec à Montréal在 uqam.ca 的电子邮件经过验证
Paweł PławiakCracow University of Technology在 pk.edu.pl 的电子邮件经过验证
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord University在 eng.sku.ac.ir 的电子邮件经过验证
Mariam ZomorodiCracow University of Technology在 pk.edu.pl 的电子邮件经过验证
Neil YenAssociate Professor of Computer Science, University of Aizu, Japan在 u-aizu.ac.jp 的电子邮件经过验证
Shahla NematiAssistant Professor, Shahrekord University在 sku.ac.ir 的电子邮件经过验证
Nizal SarrafzadeganProf of Cardiology ,Cardiovascular Research Institute, Isfahan University of Medical Sciences在 med.mui.ac.ir 的电子邮件经过验证
Farhad PourpanahQueen's University在 queensu.ca 的电子邮件经过验证
Li LiuSenior Member of IEEE and CCF在 nudt.edu.cn 的电子邮件经过验证
Mohammad GhavamzadehAmazon在 amazon.com 的电子邮件经过验证
Erik CambriaProfessor of Computing and Data Science, NTU Singapore在 ntu.edu.sg 的电子邮件经过验证
Bogdan MazoureApple MLR在 apple.com 的电子邮件经过验证
Thang DoanSnorkel AI在 mail.mcgill.ca 的电子邮件经过验证
HK Lam, Hak Keung LamDepartment of Engineering, King's College London在 kcl.ac.uk 的电子邮件经过验证
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UK在 qu.edu.qa 的电子邮件经过验证
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan Turing在 manchester.ac.uk 的电子邮件经过验证
Distinguished Prof. Athanasios Vasilak...UiA,norway在 uia.no 的电子邮件经过验证

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Moloud Abdar

Alfred Deakin Postdoctoral Research Fellow, Deakin University, Australia

在 deakin.edu.au 的电子邮件经过验证 - 首页

Machine Learning Deep Learning Computer Vision Sentiment Analysis Data Mining


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1822	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	643	2021
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	305	2019
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	274	2022
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	224	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	219	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	215	2017
Automated detection of autism spectrum disorder using a convolutional neural network Z Sherkatghanad, M Akhondzadeh, S Salari, M Zomorodi-Moghadam, ... Frontiers in neuroscience 13, 482737, 2020	204	2020
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	169	2021
Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015	168	2015
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	167	2021
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	162	2019
Spinalnet: Deep neural network with gradual input HMD Kabir, M Abdar, A Khosravi, SMJ Jalali, AF Atiya, S Nahavandi, ... IEEE Transactions on Artificial Intelligence, 2022	157	2022
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	135	2020
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	134	2020
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer M Abdar, V Makarenkov Measurement 146, 557-570, 2019	129	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	127	2019
Using PSO algorithm for producing best rules in diagnosis of heart disease AH Alkeshuosh, MZ Moghadam, I Al Mansoori, M Abdar 2017 international conference on computer and applications (ICCA), 306-311, 2017	123	2017
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	118	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	118	2018

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