Moloud Abdar
Moloud Abdar
PhD student, Deakin University, Australia
Verified email at - Homepage
Cited by
Cited by
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
Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases.
M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji
International Journal of Electrical & Computer Engineering (2088-8708) 5 (6), 2015
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
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
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
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
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
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
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
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
Rule optimization of boosted c5. 0 classification using genetic algorithm for liver disease prediction
M Hassoon, MS Kouhi, M Zomorodi-Moghadam, M Abdar
2017 international conference on computer and applications (icca), 299-305, 2017
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information Fusion, 2021
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
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer
M Abdar, V Makarenkov
Measurement 146, 557-570, 2019
Using Decision Trees in Data Mining for Predicting Factors Influencing of Heart Disease
M Abdar
Carpathian Journal of Electronic and Computer Engineering (CJECE) 8 (No. 2 …, 2015
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
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ...
Scientific data 6 (1), 1-13, 2019
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
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
M Abdar, VN Wijayaningrum, S Hussain, R Alizadehsani, P Plawiak, ...
Journal of medical systems 43 (7), 1-23, 2019
NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease
M Abdar, UR Acharya, N Sarrafzadegan, V Makarenkov
IEEE Access 7, 167605-167620, 2019
The system can't perform the operation now. Try again later.
Articles 1–20