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Filters: Author is Amir Hossein Yazdavar [Clear All Filters]
. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393. 
(684.81 KB)
(684.81 KB). Analyzing Clinical Depressive Symptoms in Twitter. In 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact. Bethesda, MD; 2016. (1.98 MB)
(1.98 MB). Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060. (271.38 KB)
(271.38 KB). Relatedness-based Multi-Entity Summarization. In International Joint Conference on Artificial Intelligence 2017 (IJCAI-17). Melbourne, Australia; 2017. (271.38 KB)
(271.38 KB). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Analytical Modelling and Simulation of I-V Characteristics in Carbon Nanotube Based Gas Sensors Using ANN and SVR Methods. Chemometrics and Intelligent Laboratory Systems. 2014 ;137:173-180.
. On the Challenges of Sentiment Analysis for Dynamic Events. IEEE Intelligent Systems. IEEE; 2017 ;. (548.69 KB)
(548.69 KB). Recognition of side effects as implicit-opinion words in drug reviews. Online Information Review; 2016 ;40(7):1018-1032. (564.66 KB)
(564.66 KB). Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier. IET Communications. 2014 ;8(8):1364 - 1373.