Moloud Abdar

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaPatvirtintas el. paštas usq.edu.au
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityPatvirtintas el. paštas ieee.org
Vladimir MakarenkovUniversité du Québec à MontréalPatvirtintas el. paštas uqam.ca
Paweł PławiakCracow University of TechnologyPatvirtintas el. paštas pk.edu.pl
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord UniversityPatvirtintas el. paštas eng.sku.ac.ir
Mariam ZomorodiCracow University of TechnologyPatvirtintas el. paštas pk.edu.pl
Neil YenAssociate Professor of Computer Science, University of Aizu, JapanPatvirtintas el. paštas u-aizu.ac.jp
Shahla NematiAssistant Professor, Shahrekord UniversityPatvirtintas el. paštas sku.ac.ir
Nizal SarrafzadeganProf of Cardiology ,Cardiovascular Research Institute, Isfahan University of Medical SciencesPatvirtintas el. paštas med.mui.ac.ir
Farhad PourpanahSenior Member of IEEE, Queen's UniversityPatvirtintas el. paštas queensu.ca
Mohammad GhavamzadehAmazon AGIPatvirtintas el. paštas amazon.com
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporePatvirtintas el. paštas ntu.edu.sg
Bogdan MazoureApple MLR, MilaPatvirtintas el. paštas apple.com
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of WaterlooPatvirtintas el. paštas uwaterloo.ca
Thang DoanSnorkel AIPatvirtintas el. paštas mail.mcgill.ca
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKPatvirtintas el. paštas qu.edu.qa
HK Lam, Hak Keung LamDepartment of Engineering, King's College LondonPatvirtintas el. paštas kcl.ac.uk
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringPatvirtintas el. paštas manchester.ac.uk
Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology MumbaiPatvirtintas el. paštas iitb.ac.in
petia radevaFull professor, University of BarcelonaPatvirtintas el. paštas ub.edu

Stebėti

Moloud Abdar

Alfred Deakin Postdoctoral Research Fellow, Deakin University, Australia

Patvirtintas el. paštas deakin.edu.au - Pagrindinis puslapis

Machine Learning Deep Learning Computer Vision Sentiment Analysis Data Mining


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2483	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	767	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	448	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	356	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	266	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	232	2020
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	218	2021
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	217	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	206	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	199	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	179	2019
Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015	173	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	157	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	147	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	145	2021
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer M Abdar, V Makarenkov Measurement 146, 557-570, 2019	139	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	132	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	128	2023

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