Conrad S.Tucker

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Suppawong TuarobAssistant Professor of Computer Science, Mahidol UniversityVerified email at mahidol.edu
Christian E. Lopez BencosmeLafayette CollegeVerified email at lafayette.edu
Harrison Kim (Hyung Min Kim)Professor of Engineering & Medicine, University of Illinois @ Urbana-ChampaignVerified email at illinois.edu
Nilam RamStanford UniversityVerified email at stanford.edu
Matthew DeringPennsylvania State UniversityVerified email at cse.psu.edu
Sunghoon LimUlsan National Institute of Science and Technology (UNIST)Verified email at unist.ac.kr
Marcel SalathéAssociate Professor, EPFLVerified email at epfl.ch
Timothy W. SimpsonPennsylvania State UniversityVerified email at psu.edu
Sven G. BilénThe Pennsylvania State UniversityVerified email at psu.edu
Gül E. Okudan KremerIowa State UniversityVerified email at iastate.edu
Kang, Sung WooIndustrial Engineering Professor, Inha UniversityVerified email at inha.ac.kr
Soundar KumaraAllen, E & Allen, M., Pearce Professor of Industrial Engeering, Professor of Computer Science andVerified email at psu.edu
Todd BodnarVerified email at psu.edu
Harriet B. Nembhard, PhDOregon State UniversityVerified email at oregonstate.edu
Sakthi Kumar Arul PrakashGraduate Research Assistant, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Abhinav SinghGraduate Student, Pennsylvania State UniversityVerified email at psu.edu
Scarlett MillerAssociate Professor of Engineering Design, Penn State UniversityVerified email at psu.edu
Timothy BrickThe Pennsylvania State UniversityVerified email at psu.edu
Omar Ashour, PhDThe Pennsylvania State University, The Behrend CollegeVerified email at psu.edu
Wang-Chien LeePennsylvania State UniversityVerified email at cse.psu.edu

Conrad S.Tucker

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

Verified email at andrew.cmu.edu - Homepage

Machine Learning Engineering System Design Computer-Aided Design Healthcare Data Mining


Title Sort by citations Sort by year Sort by title	Cited by 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	105	2014
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), 2015	83	2015
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	83	2015
Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data S Tuarob, CS Tucker International Design Engineering Technical Conferences and Computers and …, 2013	79	2013
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	73	2017
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	70	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), 2009	60	2009
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	59	2014
Trend mining for predictive product design CS Tucker, HM Kim Journal of Mechanical Design 133 (11), 2011	51	2011
Optimal product portfolio formulation by merging predictive data mining with multilevel optimization CS Tucker, HM Kim Journal of Mechanical Design 130 (4), 2008	51	2008
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	48	2015
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	42	2015
Investigating the impact of interactive immersive virtual reality environments in enhancing task performance in online engineering design activities AKBG Bharathi, CS Tucker International Design Engineering Technical Conferences and Computers and …, 2015	42	2015
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	39	2014
The effects of player type on performance: A gamification case study CE Lopez, CS Tucker Computers in Human Behavior 91, 333-345, 2019	38	2019
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 …, 2014	36	2014
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	30	2017
How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information S Tuarob, CS Tucker, S Kumara, CL Giles, AL Pincus, DE Conroy, N Ram Journal of biomedical informatics 68, 1-19, 2017	30	2017
A machine learning approach to product review disambiguation based on function, form and behavior classification A Singh, CS Tucker Decision Support Systems 97, 81-91, 2017	29	2017
An unsupervised machine learning method for discovering patient clusters based on genetic signatures C Lopez, S Tucker, T Salameh, C Tucker Journal of biomedical informatics 85, 30-39, 2018	28	2018

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