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2019 Journal Article Integration of ensemble and evolutionary machine learning algorithms for monitoring diver behavior using physiological signalsKoohestani, Afsaneh, Abdar, Moloud, Khosravi, Abbas, Nahavandi, Saeid and Koohestani, Mahereh (2019). Integration of ensemble and evolutionary machine learning algorithms for monitoring diver behavior using physiological signals. IEEE Access, 7 8753479, 98971-98992. doi: 10.1109/access.2019.2926444 |
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2019 Journal Article NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery diseaseAbdar, 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 |
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2018 Journal Article Predicting risk of acute appendicitis: A comparison of artificial neural network and logistic regression modelsShahmoradi, Leila, Safdari, Reza, Mirhosseini, Mir Mikail, Arji, Goli, Jannat, Behrooz and Abdar, Moloud (2018). Predicting risk of acute appendicitis: A comparison of artificial neural network and logistic regression models. Acta Medica Iranica, 56 (12), 784-795. |
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2018 Conference Publication Educational data mining based on multi-objective weighted voting ensemble classifierAbdar, Moloud, Yen, Neil Y. and Hung, Jason C. (2018). Educational data mining based on multi-objective weighted voting ensemble classifier. 2017 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, United States, 14-16 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CSCI.2017.192 |
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2018 Journal Article Improving the diagnosis of liver disease using multilayer perceptron neural network and boosted decision treesAbdar, Moloud, Yen, Neil Yuwen and Hung, Jason Chi-Shun (2018). Improving the diagnosis of liver disease using multilayer perceptron neural network and boosted decision trees. Journal of Medical and Biological Engineering, 38 (6), 953-965. doi: 10.1007/s40846-017-0360-z |
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2018 Journal Article Event-based trend factor analysis based on hashtag correlation and temporal information miningLee, Heng, Abdar, Moloud and Yen, Neil Y. (2018). Event-based trend factor analysis based on hashtag correlation and temporal information mining. Applied Soft Computing Journal, 71, 1204-1215. doi: 10.1016/j.asoc.2018.02.044 |
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2018 Conference Publication An ensemble-based decision tree approach for educational data miningAbdar, Moloud, Zomorodi-Moghadam, Mariam and Zhou, Xujuan (2018). An ensemble-based decision tree approach for educational data mining. 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), Kaohsiung, Taiwan, 12-14 November 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BESC.2018.8697318 |
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2017 Conference Publication Rule optimization of boosted C5.0 classification using genetic algorithm for liver disease predictionHassoon, Mafazalyaqeen, Kouhi, Mikhak Samadi, Zomorodi-Moghadam, Mariam and Abdar, Moloud (2017). Rule optimization of boosted C5.0 classification using genetic algorithm for liver disease prediction. 2017 International Conference on Computer and Applications (ICCA), Doha, Qatar, 6-7 September 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/COMAPP.2017.8079783 |
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2017 Conference Publication Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart DiseaseHassoon, Mafazalyaqeen, Kouhi, Mikhak Samadi, Zomorodi-Moghadam, Mariam and Abdar, Moloud (2017). Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/COMAPP.2017.8079784 |
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2017 Journal Article Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior AnalysisAbdar, Moloud and Yen, Neil Y. (2017). Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis. IEEE Access, 5 8000574, 24842-24852. doi: 10.1109/ACCESS.2017.2735242 |
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2017 Conference Publication Crowd preference mining and analysis based on regional characteristics on airbnbAbdar, Moloud, Lai, Kuan-Hua and Yen, Neil Y. (2017). Crowd preference mining and analysis based on regional characteristics on airbnb. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/CYBConf.2017.7985771 |
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2017 Conference Publication A survey on sharing economy and its effect on human behavior changesAbdar, Moloud and Yen, Neil Y. (2017). A survey on sharing economy and its effect on human behavior changes. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/WAINA.2017.128 |
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2017 Journal Article Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental serviceAbdar, Moloud and Yen, Neil Y. (2017). Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service. Library Hi Tech, 35 (4), 521-541. doi: 10.1108/LHT-01-2017-0030 |
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2017 Journal Article Performance analysis of classification algorithms on early detection of liver diseaseAbdar, Moloud, Zomorodi-Moghadam, Mariam, Das, Resul and Ting, I-Hsien (2017). Performance analysis of classification algorithms on early detection of liver disease. Expert Systems with Applications, 67, 239-251. doi: 10.1016/j.eswa.2016.08.065 |
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2015 Journal Article Comparing performance of data mining algorithms in prediction heart disesesAbdar, Moloud, Kalhori, Sharareh R. Niakan, Sutikno, Tole, Subroto, Imam Much Ibnu and Arji, Goli (2015). Comparing performance of data mining algorithms in prediction heart diseses. International Journal of Electrical and Computer Engineering, 5 (6), 1569-1576. doi: 10.11591/ijece.v5i6.pp1569-1576 |
