| 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 | 97 | 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 | 77 | 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 | 74 | 2013 |
| 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 | 70 | 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 | 62 | 2011 |
| Trending Mining for Predictive Product Design CS Tucker, HM Kim International Design Engineering Technical Conferences and Computers and …, 2010 | 51 | 2010 |
| 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 |
| 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 | 50 | 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 | 49 | 2014 |
| 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 | 46 | 2017 |
| 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 | 41 | 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 | 35 | 2015 |
| Discovering next generation product innovations by identifying lead user preferences expressed through large scale social media data S Tuarob, CS Tucker International Design Engineering Technical Conferences and Computers and …, 2014 | 33 | 2014 |
| 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 | 30 | 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 | 29 | 2014 |
| Data-throughput enhancement using data mining-informed cognitive radio K Kotobi, PB Mainwaring, CS Tucker, SG Bilen Electronics 4 (2), 221-238, 2015 | 27 | 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 | 25 | 2017 |
| 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 |
| 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 | 23 | 2017 |
| 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 | 23 | 2016 |
Suppawong TuarobAssistant Professor of Computer Science, Mahidol UniversityVerified email at mahidol.edu
