Overview
Availability
- Dr Moloud Abdar is:
- Available for supervision
Works
Search Professor Moloud Abdar’s works on UQ eSpace
2020
Journal Article
A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi (2020). A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters, 132, 123-131. doi: 10.1016/j.patrec.2018.11.004
2020
Journal Article
DGHNL: a new deep genetic hierarchical network of learners for prediction of credit scoring
Pławiak, Paweł, Abdar, Moloud, Pławiak, Joanna, Makarenkov, Vladimir and Acharya, U Rajendra (2020). DGHNL: a new deep genetic hierarchical network of learners for prediction of credit scoring. Information Sciences, 516, 401-418. doi: 10.1016/j.ins.2019.12.045
2020
Journal Article
Insights into relevant knowledge extraction techniques: a comprehensive review
Shahid, Abdul, Afzal, Muhammad Tanvir, Abdar, Moloud, Basiri, Mohammad Ehsan, Zhou, Xujuan, Yen, Neil Y. and Chang, Jia-Wei (2020). Insights into relevant knowledge extraction techniques: a comprehensive review. Journal of Supercomputing, 76 (3), 1695-1733. doi: 10.1007/s11227-019-03009-y
2020
Journal Article
A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews
Chauhan, Ummara Ahmed, Afzal, Muhammad Tanvir, Shahid, Abdul, Abdar, Moloud, Basiri, Mohammad Ehsan and Zhou, Xujuan (2020). A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews. World Wide Web, 23 (3), 1811-1829. doi: 10.1007/s11280-020-00785-z
2020
Journal Article
Improving sentiment polarity detection through target identification
Basiri, Mohammad Ehsan, Abdar, Moloud, Kabiri, Arman, Nemati, Shahla, Zhou, Xujuan, Allahbakhshi, Forough and Yen, Neil Y. (2020). Improving sentiment polarity detection through target identification. IEEE Transactions on Computational Social Systems, 7 (1) 8911218, 113-128. doi: 10.1109/TCSS.2019.2951326
2020
Journal Article
Automated detection of autism spectrum disorder using a convolutional neural network
Sherkatghanad, Zeinab, Akhondzadeh, Mohammadsadegh, Salari, Soorena, Zomorodi-Moghadam, Mariam, Abdar, Moloud, Acharya, U. Rajendra, Khosrowabadi, Reza and Salari, Vahid (2020). Automated detection of autism spectrum disorder using a convolutional neural network. Frontiers in Neuroscience, 13 1325, 1-12. doi: 10.3389/fnins.2019.01325
2020
Journal Article
The effect of aggregation methods on sentiment classification in Persian reviews
Basiri, Mohammad Ehsan, Kabiri, Arman, Abdar, Moloud, Mashwani, Wali Khan, Yen, Neil Y. and Hung, Jason C. (2020). The effect of aggregation methods on sentiment classification in Persian reviews. Enterprise Information Systems, 14 (9-10), 1394-1421. doi: 10.1080/17517575.2019.1669829
2019
Journal Article
A hybrid latent space data fusion method for multimodal emotion recognition
Nemati, Shahla, Rohani, Reza, Basiri, Mohammad Ehsan, Abdar, Moloud, Yen, Neil Y. and Makarenkov, Vladimir (2019). A hybrid latent space data fusion method for multimodal emotion recognition. IEEE Access, 7 8911364, 172948-172964. doi: 10.1109/access.2019.2955637
2019
Journal Article
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer
Abdar, Moloud and Makarenkov, Vladimir (2019). CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer. Measurement: Journal of the International Measurement Confederation, 146, 557-570. doi: 10.1016/j.measurement.2019.05.022
2019
Journal Article
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
Pławiak, Paweł, Abdar, Moloud and Rajendra Acharya, U. (2019). Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. Applied Soft Computing Journal, 84 105740, 1-14. doi: 10.1016/j.asoc.2019.105740
2019
Journal Article
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S. and Sarrafzadegan, N. (2019). A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Scientific Data, 6 227, 1-13. doi: 10.1038/s41597-019-0206-3
2019
Journal Article
A new machine learning technique for an accurate diagnosis of coronary artery disease
Abdar, Moloud, Książek, Wojciech, Acharya, U Rajendra, Tan, Ru-San, Makarenkov, Vladimir and Pławiak, Paweł (2019). A new machine learning technique for an accurate diagnosis of coronary artery disease. Computer Methods and Programs in Biomedicine, 179 104992, 1-11. doi: 10.1016/j.cmpb.2019.104992
2019
Journal Article
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Alizadehsani, Roohallah, Abdar, Moloud, Roshanzamir, Mohamad, Khosravi, A., Kebria, Parham M., Khozeimeh, Fahime, Nahavandi, S., Sarrafzadegan, N. and Acharya, U. Rajendra (2019). Machine learning-based coronary artery disease diagnosis: A comprehensive review. Computers in Biology and Medicine, 111 103346, 1-14. doi: 10.1016/j.compbiomed.2019.103346
2019
Journal Article
Decision tree predictive learner-based approach for false alarm detection in ICU
Manna, Tishya, Swetapadma, Aleena and Abdar, Moloud (2019). Decision tree predictive learner-based approach for false alarm detection in ICU. Journal of Medical Systems, 43 (7) 191, 1-13. doi: 10.1007/s10916-019-1337-y
2019
Journal Article
Corrigendum to “Performance Analysis of Classification Algorithms on early detection of Liver disease” (Expert Systems with Applications (2017) 67 (239–251), (S095741741630464X) (10.1016/j.eswa.2016.08.065))
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Das, Resul and Ting, I-Hsien (2019). Corrigendum to “Performance Analysis of Classification Algorithms on early detection of Liver disease” (Expert Systems with Applications (2017) 67 (239–251), (S095741741630464X) (10.1016/j.eswa.2016.08.065)). Expert Systems with Applications, 125, 442-443. doi: 10.1016/j.eswa.2019.02.029
2019
Journal Article
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
Abdar, Moloud, Wijayaningrum, Vivi Nur, Hussain, Sadiq, Alizadehsani, Roohallah, Plawiak, Pawel, Acharya, U. Rajendra and Makarenkov, Vladimir (2019). IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. Journal of Medical Systems, 43 (7) 220, 1-23. doi: 10.1007/s10916-019-1343-0
2019
Journal Article
Face recognition with triangular fuzzy set-based local cross patterns inwavelet domain
Tuncer, Turker, Dogan, Sengul, Abdar, Moloud, Basiri, Mohammad Ehsan and Pławiak, Paweł (2019). Face recognition with triangular fuzzy set-based local cross patterns inwavelet domain. Symmetry, 11 (6) 787, 1-18. doi: 10.3390/sym11060787
2019
Journal Article
A novel machine learning approach for early detection of hepatocellular carcinoma patients
Książek, Wojciech, Abdar, Moloud, Acharya, U. Rajendra and Pławiak, Paweł (2019). A novel machine learning approach for early detection of hepatocellular carcinoma patients. Cognitive Systems Research, 54, 116-127. doi: 10.1016/j.cogsys.2018.12.001
2019
Conference Publication
Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach
Abdar, Moloud, Nasarian, Elham, Zhou, Xujuan, Bargshady, Ghazal, Wijayaningrum, Vivi Nur and Hussain, Sadiq (2019). Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach. 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), Singapore, Singapore, 23-25 February 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CCOMS.2019.8821633
2019
Journal Article
NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease
Abdar, Moloud, Acharya, U. Rajendra, Sarrafzadegan, Nizal and Makarenkov, Vladimir (2019). NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease. IEEE Access, 7 8903185, 167605-167620. doi: 10.1109/access.2019.2953920
Supervision
Availability
- Dr Moloud Abdar is:
- Available for supervision
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