
{"id":93,"date":"2023-09-14T14:14:38","date_gmt":"2023-09-14T18:14:38","guid":{"rendered":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/?page_id=93"},"modified":"2023-09-15T22:08:49","modified_gmt":"2023-09-16T02:08:49","slug":"deep-learning-and-machine-learning","status":"publish","type":"page","link":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/research\/deep-learning-and-machine-learning\/","title":{"rendered":"Machine Learning and Text Mining"},"content":{"rendered":"\n<p>Deep learning and machine Learning empower artificial intelligence, and artificial intelligence in turn augments human intelligence.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-medium-font-size\">Selected Publications<\/h3>\n\n\n\n<p><a href=\"https:\/\/aisel.aisnet.org\/thci\/vol15\/iss1\/5\/\">Zhou, L., Rudin, C., Gombolay, M., Spohrer, J., Zhou, M., &amp; Paul, S. (2023). From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. <em>AIS Transactions on Human Computer Interaction<\/em>, 15(1).<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1002\/asi.24642.\">Tao, J. L. Zhou, K. Hickey (2023). Making Sense of the Black-boxes: Toward Interpretable Text Classification using Deep Learning Models,<em> Journal of the Association for Information Science and Technology<\/em>. 74, 685-700.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/scholarspace.manoa.hawaii.edu\/server\/api\/core\/bitstreams\/af110af8-be06-40a8-aa9e-3f6627e7dc82\/content\">Tao, J., X. Fang, and L. Zhou (2021), Unsupervised Deep Learning for Fake Content Detection in Social Media, <em>Hawaii International Conference on System Sciences<\/em> (<em>HICSS-54<\/em>). January 5-8, Kauai, HI, USA.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.17705\/1thci.00149\">Zhou, L., Paul, S., Demirkan, H., Yuan, L., Spohrer, J., Zhou, M., &amp; Basu, J. (2021). Intelligence Augmentation: Towards Building Human-Machine Symbiotic Relationship. <em>AIS Transactions on Human Computer Interaction<\/em>, 13(2), 243-264.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2017.01.026\">Zhou, L., S. Pan, J. Wang, and A.V. Vasilakos (2017), Machine Learning on Big Data: Opportunities and Challenges, <em>Neurocomputing<\/em>, 237, 350-361.<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/dx.doi.org\/10.1016\/j.im.2016.05.007\">Kang, Y. and L. Zhou (2017), RubE: Rule-based Methods for Extracting Product Features from Online Consumer Reviews, <em>Information &amp; Management<\/em>, 54(2), March, 166-176.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1002\/asi.22769\">Narock, T., L. Zhou, and V. Yoon (2013). Semantic Similarity of Ontology Instances Using Polarity Mining. <em>Journal of the Association for Information Science and Technology<\/em>. 64(2), February, 416-427.<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/dx.doi.org\/10.1016\/j.ipm.2014.08.005\">Li, S., L. Zhou, and Y. Li (2015). Improving Aspect Extraction by Augmenting a Frequency-Based Method with Web-based Similarity Measures. <em>Information Processing and Management<\/em>.51, 58-67.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.dss.2012.04.016\">Du, J. and L. Zhou (2012). Improving Financial Data Quality Using Ontologies. <em>Decision Support Systems<\/em>, 54, 76-86.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.dss.2004.08.016\">Chiang, W. Y., D. Zhang, and L. Zhou (2006). Predicting and Explaining Patronage Behavior toward Web and Traditional Stores Using Neural Networks: A Comparative Analysis with Logistic Regression. <em>Decision Support Systems<\/em>, 41, 514-531.<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/dx.doi.org\/10.1109\/TSMCC.2004.829279\">Zhang, D. and L. Zhou (2004). Discovering Golden Nuggets: Data Mining in Financial Applications. <em>IEEE Transactions on Systems, Man, and Cybernetics: Part C<\/em>, 34(4), 513-522.<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/dx.doi.org\/10.1023\/B:GRUP.0000011944.62889.6f\">Zhou, L. J. K. Burgoon, J. F. Nunamaker, and D. Twitchell (2004). Automated Linguistics Based Cues for Detecting Deception in Text-based Asynchronous Computer-Mediated Communication: An Empirical Investigation, Group Decision and Negotiation. 13(1), 81-106.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep learning and machine Learning empower artificial intelligence, and artificial intelligence in turn augments human intelligence. Selected Publications Zhou, L., Rudin, C., Gombolay, M., Spohrer, J., Zhou, M., &amp; Paul, S. (2023). From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. AIS Transactions on Human Computer Interaction, 15(1). Tao, [&hellip;]<\/p>\n","protected":false},"author":4338,"featured_media":0,"parent":79,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-93","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/pages\/93","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/users\/4338"}],"replies":[{"embeddable":true,"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/comments?post=93"}],"version-history":[{"count":5,"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/pages\/93\/revisions"}],"predecessor-version":[{"id":239,"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/pages\/93\/revisions\/239"}],"up":[{"embeddable":true,"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/pages\/79"}],"wp:attachment":[{"href":"https:\/\/belkcollegeofbusiness.charlotte.edu\/lzhou8\/wp-json\/wp\/v2\/media?parent=93"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}