Publications

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2018
M. Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Doran, D., and Hitzler, P., “Reasoning over RDF Knowledge Bases using Deep Learning”, arXiv preprint arXiv:1811.04132, 2018.
2017
M. Ebrahimi, Yazdavar, A. Hossein, and Sheth, A., “On the Challenges of Sentiment Analysis for Dynamic Events”, IEEE Intelligent Systems, 2017.
A. Hossein Yazdavar, Al-Olimat, H. S., Ebrahimi, M., Bajaj, G., Banerjee, T., Thirunarayan, K., Pathak, J., and Sheth, A., “Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media”, in ASONAM, 2017.
2016
A. Hossein Yazdavar, Ebrahimi, M., and Salim, N., “Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences”, Journal of Soft Computing and Decision Support Systems, vol. 3, pp. 7–18, 2016.
M. Ebrahimi, Yazdavar, A. Hossein, Salim, N., and Eltyeb, S., “Recognition of side effects as implicit-opinion words in drug reviews”, Online Information Review, vol. 40, pp. 1018–1032, 2016.
2014
E. Akbari, Buntat, Z., Enzevaee, A., Ebrahimi, M., Yazdavar, A. Hossein, and Yusof, R., “Analytical modeling and simulation of I–V characteristics in carbon nanotube based gas sensors using ANN and SVR methods”, Chemometrics and Intelligent Laboratory Systems, vol. 137, pp. 173–180, 2014.
I. S. Amiri, Ebrahimi, M., Yazdavar, A. Hossein, Ghorbani, S., Alavi, S. E., Idrus, S. M., and Ali, J., “Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier”, IET Communications, vol. 8, pp. 1364–1373, 2014.
2013
M. Ebrahimi, “Side Effects Recognition as Implicit Opinion Words in Drug Reviews”, Universiti Teknologi Malaysia, 2013.