Data-Driven Decision Tree Classification for Product Portfolio Design Optimization. - Conrad S. Tucker; Harrison M. Kim (J. Comput. Inf. Sci. Eng., 2009)

Discovering health-related knowledge in social media using ensembles of heterogeneous features. - Suppawong Tuarob; Conrad S. Tucker; Marcel Salathé; Nilam Ram (CIKM, 2013)

Increasing the veracity of event detection on social media networks through user trust modeling. - Todd J. Bodnar; Conrad S. Tucker; Kenneth M. Hopkinson; Sven G. Bilén (IEEE BigData, 2014)

Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter. - Peifeng Yin; Nilam Ram; Wang-Chien Lee; Conrad S. Tucker; Shashank Khandelwal; Marcel Salathé (PAKDD (1), 2014)

On the ground validation of online diagnosis with Twitter and medical records. - Todd J. Bodnar; Victoria C. Barclay; Nilam Ram; Conrad S. Tucker; Marcel Salathé (WWW (Companion Volume), 2014)

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages. - Suppawong Tuarob; Conrad S. Tucker; Marcel Salathé; Nilam Ram (J. Biomed. Informatics, 2014)

Automatic Discovery of Service Name Replacements Using Ledger Data. - Suppawong Tuarob; Conrad S. Tucker; Ray Strong; Jeanette Blomberg; Anca Chandra; Pawan Chowdhary; Sechan Oh (SCC, 2015)

Modeling Individual-Level Infection Dynamics Using Social Network Information. - Suppawong Tuarob; Conrad S. Tucker; Marcel Salathé; Nilam Ram (CIKM, 2015)

Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors. - Conrad S. Tucker; Ishan Behoora; Harriet Black Nembhard; Mechelle Lewis; Nicholas W. Sterling; Xuemei Huang 002 (Comput. Biol. Medicine, 2015)

Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data. - Suppawong Tuarob; Conrad S. Tucker (J. Comput. Inf. Sci. Eng., 2015)

Knowledge discovery of game design features by mining user-generated feedback. - Ajay Karthic B. Gopinath Bharathi; Abhinav Singh; Conrad S. Tucker; Harriet Black Nembhard (Comput. Hum. Behav., 2016)

Implications of Generative Models in Government. - Matthew L. Dering; Conrad S. Tucker (AAAI Fall Symposia, 2017)

Generative adversarial networks for increasing the veracity of big data. - Matthew L. Dering; Conrad S. Tucker (IEEE BigData, 2017)

Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems. - Conrad S. Tucker; Mathew Burrows; Kevin Lesniak; Samuel Klein (FAS*W@SASO/ICCAC, 2017)

A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications. - Christian E. López; Conrad S. Tucker (Comput. Hum. Behav., 2017)

A machine learning approach to product review disambiguation based on function, form and behavior classification. - Abhinav Singh; Conrad S. Tucker (Decis. Support Syst., 2017)

An unsupervised machine learning model for discovering latent infectious diseases using social media data. - Sung Hoon Lim; Conrad S. Tucker; Soundar R. T. Kumara (J. Biomed. Informatics, 2017)

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. - Suppawong Tuarob; Conrad S. Tucker; Soundar R. T. Kumara; C. Lee Giles; Aaron L. Pincus; David E. Conroy; Nilam Ram (J. Biomed. Informatics, 2017)

Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1. - Kevin Lesniak; Janis P. Terpenny; Conrad S. Tucker; Chimay J. Anumba; Sven G. Bilén (J. Comput. Inf. Sci. Eng., 2017)

Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency. - Junfeng Ma; Conrad S. Tucker; Gül E. Okudan Kremer; Kathy L. Jackson (J. Integr. Des. Process. Sci., 2017)

Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity. - David A. Broniatowski; Conrad S. Tucker (Syst. Eng., 2017)

Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns. - Todd J. Bodnar; Matthew L. Dering; Conrad S. Tucker; Kenneth M. Hopkinson (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A semantic network model for measuring engagement and performance in online learning platforms. - Sung Hoon Lim; Conrad S. Tucker; Kathryn W. Jablokow; Bart Pursel (Comput. Appl. Eng. Educ., 2018)

An unsupervised machine learning method for discovering patient clusters based on genetic signatures. - Christian E. López; Scott Tucker; Tarik Salameh; Conrad S. Tucker (J. Biomed. Informatics, 2018)

An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping. - Matthew L. Dering; Conrad S. Tucker; Soundar R. T. Kumara (J. Comput. Inf. Sci. Eng., 2018)

Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data. - Kevin Lesniak; Conrad S. Tucker (J. Comput. Inf. Sci. Eng., 2018)

Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data. - Suppawong Tuarob; Sung Hoon Lim; Conrad S. Tucker (J. Comput. Inf. Sci. Eng., 2018)

Discovering Discontinuity in Big Financial Transaction Data. - Suppawong Tuarob; Ray Strong; Anca Chandra; Conrad S. Tucker (ACM Trans. Manag. Inf. Syst., 2018)

The effects of player type on performance: A gamification case study. - Christian E. López; Conrad S. Tucker (Comput. Hum. Behav., 2019)

Mining Twitter data for causal links between tweets and real-world outcomes. - Sung Hoon Lim; Conrad S. Tucker (Expert Syst. Appl. X, 2019)

Evaluating the Impact of Idea Dissemination Methods on Information Loss. - Zixuan Victoria Zhao; Christian E. López; Conrad S. Tucker (J. Comput. Inf. Sci. Eng., 2019)

Encrypted rich-data steganography using generative adversarial networks. - Dule Shu; Weilin Cong; Jiaming Chai; Conrad S. Tucker (WiseML@WiSec, 2020)

Generative adversarial attacks against intrusion detection systems using active learning. - Dule Shu; Nandi O. Leslie; Charles A. Kamhoua; Conrad S. Tucker (WiseML@WiSec, 2020)

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments. - Christian E. López; James Cunningham; Omar M. Ashour; Conrad S. Tucker (J. Comput. Inf. Sci. Eng., 2020)

Toward Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance. - Christian E. López; Conrad S. Tucker (IEEE Trans. Games, 2020)

Adaptive Gamification and Its Impact on Performance. - Christian E. López; Conrad S. Tucker (HCI (28), 2021)

Graph network for simultaneous learning of forward and inverse physics. - Sakthi Kumar Arul Prakash; Conrad S. Tucker (CoRR, 2021)

Node classification using kernel propagation in graph neural networks. - Sakthi Kumar Arul Prakash; Conrad S. Tucker (Expert Syst. Appl., 2021)

Evaluation of biases in remote photoplethysmography methods. - Ananyananda Dasari; Sakthi Kumar Arul Prakash; László A. Jeni; Conrad S. Tucker (npj Digit. Medicine, 2021)

Instantaneous Physiological Estimation using Video Transformers. - Ambareesh Revanur; Ananyananda Dasari; Conrad S. Tucker; László A. Jeni (CoRR, 2022)

A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks. - James Cunningham; Alexander J. Aved; David Ferris; Philip Morrone; Conrad S. Tucker (IEEE Trans. Smart Grid, 2023)

Video-Based Elevated Skin Temperature Detection. - Ananyananda Dasari; Ambareesh Revanur; László A. Jeni; Conrad S. Tucker (IEEE Trans. Biomed. Eng., 2023)

Culturally competent social robots target inclusion in Africa. - Adedayo Akinade; Yohannes Haile; Natasha Mutangana; Conrad S. Tucker; David Vernon (Sci. Robotics, 2023)

Mitigating Cascading Effects in Large Adversarial Graph Environments. - James Cunningham; Conrad S. Tucker (CoRR, 2024)

Mitigating adversarial cascades in large graph environments. - James Cunningham; Conrad S. Tucker (Expert Syst. Appl., 2024)

Probabilistic graph networks for learning physics simulations. - Sakthi Kumar Arul Prakash; Conrad S. Tucker (J. Comput. Phys., 2024)