| 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 | 135 | 2014 |
| The effects of player type on performance: A gamification case study CE Lopez, CS Tucker Computers in Human Behavior 91, 333-345, 2019 | 129 | 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 | 123 | 2017 |
| 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 | 114 | 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 | 102 | 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 | 93 | 2013 |
| 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 | 91 | 2014 |
| 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 | 88 | 2018 |
| 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 | 88 | 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 | 77 | 2009 |
| 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 | 76 | 2015 |
| Trend mining for predictive product design CS Tucker, HM Kim Journal of Mechanical Design 133 (11), 2011 | 71 | 2011 |
| 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 | 69 | 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 | 67 | 2020 |
| Optimal product portfolio formulation by merging predictive data mining with multilevel optimization CS Tucker, HM Kim Journal of Mechanical Design 130 (4), 2008 | 59 | 2008 |
| 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 | 57 | 2017 |
| 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 | 57 | 2015 |
| 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 | 55 | 2016 |
| 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 | 53 | 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 | 50 | 2017 |
Christian E. Lopez BencosmeLafayette CollegeVerified email at lafayette.edu
