The effects of player type on performance: A gamification case study CE Lopez, CS Tucker Computers in Human Behavior 91, 333-345, 2019 | 190 | 2019 |
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 | 149 | 2017 |
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 | 139 | 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), 031003, 2015 | 129 | 2015 |
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 | 118 | 2018 |
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 | 109 | 2015 |
3d design using generative adversarial networks and physics-based validation D Shu, J Cunningham, G Stump, SW Miller, MA Yukish, TW Simpson, ... Journal of Mechanical Design 142 (7), 071701, 2020 | 107 | 2020 |
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 | 101 | 2014 |
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 | 97 | 2011 |
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 | 95 | 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 | 91 | 2013 |
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 | 86 | 2015 |
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 | 84 | 2017 |
Data-driven decision tree classification for product portfolio design optimization CS Tucker, HM Kim | 82 | 2009 |
Trend mining for predictive product design CS Tucker, HM Kim | 74 | 2011 |
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 | 73 | 2015 |
Evaluation of biases in remote photoplethysmography methods A Dasari, SKA Prakash, LA Jeni, CS Tucker NPJ digital medicine 4 (1), 91, 2021 | 66 | 2021 |
Toward personalized adaptive gamification: a machine learning model for predicting performance C López, C Tucker IEEE transactions on Games 12 (2), 155-168, 2018 | 64 | 2018 |
Bounded Kalman filter method for motion-robust, non-contact heart rate estimation SKA Prakash, CS Tucker Biomedical optics express 9 (2), 873-897, 2018 | 64 | 2018 |
Knowledge discovery of game design features by mining user-generated feedback AKBG Bharathi, A Singh, CS Tucker, HB Nembhard Computers in Human Behavior 60, 361-371, 2016 | 64 | 2016 |