Conrad S. Tucker

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Topics

Machine Learning

Automated Discovery

Top Venues

J. Comput. Inf. Sci. Eng.

J. Biomed. Informatics

Comput. Hum. Behav.

Publications

James Cunningham, Conrad S. Tucker
Mitigating Cascading Effects in Large Adversarial Graph Environments. CoRR (2024)
Sakthi Kumar Arul Prakash, Conrad S. Tucker
Probabilistic graph networks for learning physics simulations. J. Comput. Phys. 513 (2024)
James Cunningham, Alexander J. Aved, David Ferris, Philip Morrone, Conrad S. Tucker
A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks. IEEE Trans. Smart Grid 14 (2) (2023)
Ananyananda Dasari, Ambareesh Revanur, László A. Jeni, Conrad S. Tucker
Video-Based Elevated Skin Temperature Detection. IEEE Trans. Biomed. Eng. 70 (8) (2023)
Ambareesh Revanur, Ananyananda Dasari, Conrad S. Tucker, László A. Jeni
Instantaneous Physiological Estimation using Video Transformers. CoRR (2022)
Sakthi Kumar Arul Prakash, Conrad S. Tucker
Node classification using kernel propagation in graph neural networks. Expert Syst. Appl. 174 (2021)
Ananyananda Dasari, Sakthi Kumar Arul Prakash, László A. Jeni, Conrad S. Tucker
Evaluation of biases in remote photoplethysmography methods. npj Digit. Medicine 4 (2021)
Sakthi Kumar Arul Prakash, Conrad S. Tucker
Graph network for simultaneous learning of forward and inverse physics. CoRR (2021)
Christian E. López, Conrad S. Tucker
Adaptive Gamification and Its Impact on Performance. HCI (28) (2021)
Christian E. López, Conrad S. Tucker
Toward Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance. IEEE Trans. Games 12 (2) (2020)
Dule Shu, Nandi O. Leslie, Charles A. Kamhoua, Conrad S. Tucker
Generative adversarial attacks against intrusion detection systems using active learning. WiseML@WiSec (2020)
Dule Shu, Weilin Cong, Jiaming Chai, Conrad S. Tucker
Encrypted rich-data steganography using generative adversarial networks. WiseML@WiSec (2020)
Christian E. López, James Cunningham, Omar M. Ashour, Conrad S. Tucker
Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments. J. Comput. Inf. Sci. Eng. 20 (5) (2020)
Christian E. López, Conrad S. Tucker
The effects of player type on performance: A gamification case study. Comput. Hum. Behav. 91 (2019)
Sung Hoon Lim, Conrad S. Tucker
Mining Twitter data for causal links between tweets and real-world outcomes. Expert Syst. Appl. X 3 (2019)
Zixuan Victoria Zhao, Christian E. López, Conrad S. Tucker
Evaluating the Impact of Idea Dissemination Methods on Information Loss. J. Comput. Inf. Sci. Eng. 19 (3) (2019)
Matthew L. Dering, Conrad S. Tucker, Soundar R. T. Kumara
An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping. J. Comput. Inf. Sci. Eng. 18 (1) (2018)
Suppawong Tuarob, Ray Strong, Anca Chandra, Conrad S. Tucker
Discovering Discontinuity in Big Financial Transaction Data. ACM Trans. Manag. Inf. Syst. 9 (1) (2018)
Christian E. López, Scott Tucker, Tarik Salameh, Conrad S. Tucker
An unsupervised machine learning method for discovering patient clusters based on genetic signatures. J. Biomed. Informatics 85 (2018)
Suppawong Tuarob, Sung Hoon Lim, Conrad S. Tucker
Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data. J. Comput. Inf. Sci. Eng. 18 (2) (2018)
Kevin Lesniak, Conrad S. Tucker
Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data. J. Comput. Inf. Sci. Eng. 18 (3) (2018)
Sung Hoon Lim, Conrad S. Tucker, Kathryn W. Jablokow, Bart Pursel
A semantic network model for measuring engagement and performance in online learning platforms. Comput. Appl. Eng. Educ. 26 (5) (2018)
Sung Hoon Lim, Conrad S. Tucker, Soundar R. T. Kumara
An unsupervised machine learning model for discovering latent infectious diseases using social media data. J. Biomed. Informatics 66 (2017)
Matthew L. Dering, Conrad S. Tucker
Generative adversarial networks for increasing the veracity of big data. IEEE BigData (2017)
Matthew L. Dering, Conrad S. Tucker
Implications of Generative Models in Government. AAAI Fall Symposia (2017)
Christian E. López, Conrad S. Tucker
A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications. Comput. Hum. Behav. 71 (2017)
Todd J. Bodnar, Matthew L. Dering, Conrad S. Tucker, Kenneth M. edu
Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Suppawong Tuarob, Conrad S. Tucker, Soundar R. T. Kumara, C. Lee Giles, Aaron L. Pincus, David E. Conroy, Nilam Ram
How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. J. Biomed. Informatics 68 (2017)
Kevin Lesniak, Janis P. Terpenny, Conrad S. Tucker, Chimay J. Anumba, Sven G. Bilén
Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1. J. Comput. Inf. Sci. Eng. 17 (3) (2017)
David A. Broniatowski, Conrad S. Tucker
Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity. Syst. Eng. 20 (6) (2017)
Junfeng Ma, Conrad S. Tucker, Gül E. Okudan Kremer, Kathy L. Jackson
Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency. J. Integr. Des. Process. Sci. 21 (2) (2017)
Abhinav Singh, Conrad S. Tucker
A machine learning approach to product review disambiguation based on function, form and behavior classification. Decis. Support Syst. 97 (2017)
Conrad S. Tucker, Mathew Burrows, Kevin Lesniak, Samuel Klein
Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems. FAS*W@SASO/ICCAC (2017)
Ajay Karthic B. Gopinath Bharathi, Abhinav Singh, Conrad S. Tucker, Harriet Black Nembhard
Knowledge discovery of game design features by mining user-generated feedback. Comput. Hum. Behav. 60 (2016)
Suppawong Tuarob, Conrad S. Tucker, Ray Strong, Jeanette Blomberg, Anca Chandra, Pawan Chowdhary, Sechan Oh
Automatic Discovery of Service Name Replacements Using Ledger Data. SCC (2015)
Conrad S. Tucker, Ishan Behoora, Harriet Black Nembhard, Mechelle Lewis, Nicholas W. Sterling, Xuemei Huang
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors. Comput. Biol. Medicine 66 (2015)
Suppawong Tuarob, Conrad S. Tucker
Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data. J. Comput. Inf. Sci. Eng. 15 (3) (2015)
Suppawong Tuarob, Conrad S. Tucker, Marcel Salathé, Nilam Ram
Modeling Individual-Level Infection Dynamics Using Social Network Information. CIKM (2015)
Peifeng Yin, Nilam Ram, Wang-Chien Lee, Conrad S. Tucker, Shashank Khandelwal, Marcel Salathé
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter. PAKDD (1) (2014)
Todd J. Bodnar, Victoria C. Barclay, Nilam Ram, Conrad S. Tucker, Marcel Salathé
On the Ground Validation of Online Diagnosis with Twitter and Medical Records. CoRR (2014)
Todd J. Bodnar, Conrad S. Tucker, Kenneth M. Hopkinson, Sven G. Bilén
Increasing the veracity of event detection on social media networks through user trust modeling. IEEE BigData (2014)
Suppawong Tuarob, Conrad S. Tucker, Marcel Salathé, Nilam Ram
An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages. J. Biomed. Informatics 49 (2014)
Todd J. Bodnar, Victoria C. Barclay, Nilam Ram, Conrad S. Tucker, Marcel Salathé
On the ground validation of online diagnosis with Twitter and medical records. WWW (Companion Volume) (2014)
Suppawong Tuarob, Conrad S. Tucker, Marcel Salathé, Nilam Ram
Discovering health-related knowledge in social media using ensembles of heterogeneous features. CIKM (2013)
Conrad S. Tucker, Harrison M. Kim
Data-Driven Decision Tree Classification for Product Portfolio Design Optimization. J. Comput. Inf. Sci. Eng. 9 (4) (2009)