Conrad S.Tucker - Google Scholar Citations

Cited by

	All	Since 2014
Citations	1215	1151
h-index	19	19
i10-index	36	35

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20102011201220132014201520162017201820197 17 11 25 44 162 224 275 243 199

Co-authors

Suppawong TuarobAssistant Professor of Computer Science, Mahidol UniversityVerified email at mahidol.edu
Harrison M. Kim (Hyung Min Kim)Professor of Engineering, University of Illinois @ Urbana-ChampaignVerified email at illinois.edu
Nilam RamPennsylvania State UniversityVerified email at psu.edu
Christian E. Lopez BencosmeLafayette CollegeVerified email at lafayette.edu
Matthew DeringPennsylvania State UniversityVerified email at cse.psu.edu
Marcel SalathéAssociate Professor, EPFLVerified email at epfl.ch
Sunghoon LimUlsan National Institute of Science and Technology (UNIST)Verified email at unist.ac.kr
Gül E. Okudan KremerIowa State UniversityVerified email at iastate.edu
Sven G. BilénThe Pennsylvania State UniversityVerified email at psu.edu
Sung Woo KangIndustrial Engineering PhD student, The Pennsylvania State UniversityVerified email at psu.edu
Timothy W. SimpsonPennsylvania State UniversityVerified email at psu.edu
Todd BodnarVerified email at psu.edu
Soundar KumaraAllen, E & Allen, M., Pearce Professor of Industrial Engeering, Professor of Computer Science andVerified email at psu.edu
Harriet B. Nembhard, PhDOregon State UniversityVerified email at oregonstate.edu
Scarlett MillerAssociate Professor of Engineering Design, Penn State UniversityVerified email at psu.edu
Timothy BrickThe Pennsylvania State UniversityVerified email at psu.edu
Wei ChenNorthwestern UniversityVerified email at northwestern.edu
Abhinav SinghGraduate Student, Pennsylvania State UniversityVerified email at psu.edu
Kemper LewisProfessor, University at Buffalo - SUNYVerified email at buffalo.edu
Deborah A. Moore-RussoUniversity of OklahomaVerified email at ou.edu

Conrad S.Tucker

Arthur Hamerschlag Career Development Professor, Mechanical Engineering & Machine Learning(Courtesy)

Verified email at andrew.cmu.edu - Homepage

Machine Learning Computer-Aided Design Healthcare Data Mining Text Mining


Title	Cited by	Year
An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages S Tuarob, CS Tucker, M Salathe, N Ram Journal of biomedical informatics 49, 255-268, 2014	86	2014
Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data S Tuarob, CS Tucker ASME 2013 International Design Engineering Technical Conferences and …, 2014	70	2014
Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks CS Tuarob, S. and Tucker Journal of Mechanical Design 137 (7), 2015	65	2015
Quantifying product favorability and extracting notable product features using large scale social media data S Tuarob, CS Tucker Journal of Computing and Information Science in Engineering 15 (3), 031003, 2015	59	2015
Predicting emerging product design trend by mining publicly available customer review data C Tucker, H Kim DS 68-6: Proceedings of the 18th International Conference on Engineering …, 2011	54	2011
Data-driven decision tree classification for product portfolio design optimization CS Tucker, HM Kim Journal of Computing and Information Science in Engineering 9 (4), 041004, 2009	48	2009
Trending Mining for Predictive Product Design CS Tucker, HM Kim ASME 2010 International Design Engineering Technical Conferences and …, 2011	47	2011
Optimal product portfolio formulation by merging predictive data mining with multilevel optimization CS Tucker, HM Kim Journal of Mechanical Design 130 (4), 041103, 2008	44	2008
Mining Student-Generated Textual Data in MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes C Tucker, A Pursel, Bart, Divinsky Computers in Education Journal (CoEd) 5 (4), 84-95, 2014	41	2014
Machine learning classification of design team members' body language patterns for real time emotional state detection I Behoora, CS Tucker Design Studies 39, 100-127, 2015	34	2015
Discovering next generation product innovations by identifying lead user preferences expressed through large scale social media data S Tuarob, CS Tucker ASME 2014 International Design Engineering Technical Conferences and …, 2015	31	2015
An unsupervised machine learning model for discovering latent infectious diseases using social media data S Lim, CS Tucker, S Kumara Journal of biomedical informatics 66, 82-94, 2017	29	2017
Increasing the veracity of event detection on social media networks through user trust modeling T Bodnar, C Tucker, K Hopkinson, SG Bilén 2014 IEEE International Conference on Big Data (Big Data), 636-643, 2014	26	2014
Data-throughput enhancement using data mining-informed cognitive radio K Kotobi, P Mainwaring, C Tucker, S Bilén Electronics 4 (2), 221-238, 2015	25	2015
Discovering health-related knowledge in social media using ensembles of heterogeneous features S Tuarob, CS Tucker, M Salathe, N Ram Proceedings of the 22nd ACM international conference on Information …, 2013	25	2013
A Convolutional Neural Network Model for Predicting a Product's Function, Given Its Form ML Dering, CS Tucker Journal of Mechanical Design 139 (11), 111408, 2017	23	2017
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors CS Tucker, I Behoora, HB Nembhard, M Lewis, NW Sterling, X Huang Computers in biology and medicine 66, 120-134, 2015	23	2015
Product resynthesis: knowledge discovery of the value of end-of-life assemblies and subassemblies SW Kang, C Sane, N Vasudevan, CS Tucker Journal of Mechanical Design 136 (1), 011004, 2014	21	2014
A Bayesian Sampling Method for Product Feature Extraction from Large Scale Textual Data S Lim, C Tucker Journal of Mechanical Design, 2016	19	2016
On the ground validation of online diagnosis with Twitter and medical records T Bodnar, VC Barclay, N Ram, CS Tucker, M Salathé Proceedings of the 23rd International Conference on World Wide Web, 651-656, 2014	19	2014

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