Conrad S.Tucker
Conrad S.Tucker
Arthur Hamerschlag Career Development Professor, Mechanical Engineering & Machine Learning(Courtesy)
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Cited by
Cited by
The effects of player type on performance: A gamification case study
CE Lopez, CS Tucker
Computers in Human Behavior 91, 333-345, 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
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
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
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
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
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
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
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
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
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
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
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
Data-driven decision tree classification for product portfolio design optimization
CS Tucker, HM Kim
Trend mining for predictive product design
CS Tucker, HM Kim
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
Evaluation of biases in remote photoplethysmography methods
A Dasari, SKA Prakash, LA Jeni, CS Tucker
NPJ digital medicine 4 (1), 91, 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
Bounded Kalman filter method for motion-robust, non-contact heart rate estimation
SKA Prakash, CS Tucker
Biomedical optics express 9 (2), 873-897, 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
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