Conrad S. Tucker
Orcid: 0000-0001-5365-0240
According to our database1,
Conrad S. Tucker
authored at least 42 papers
between 2009 and 2023.
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Bibliography
2023
IEEE Trans. Biomed. Eng., August, 2023
A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks.
IEEE Trans. Smart Grid, March, 2023
2022
2021
npj Digit. Medicine, 2021
Expert Syst. Appl., 2021
Proceedings of the HCI in Games: Experience Design and Game Mechanics, 2021
2020
Toward Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance.
IEEE Trans. Games, 2020
Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments.
J. Comput. Inf. Sci. Eng., 2020
Generative adversarial attacks against intrusion detection systems using active learning.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020
2019
J. Comput. Inf. Sci. Eng., 2019
Expert Syst. Appl. X, 2019
Comput. Hum. Behav., 2019
2018
ACM Trans. Manag. Inf. Syst., 2018
Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data.
J. Comput. Inf. Sci. Eng., 2018
J. Comput. Inf. Sci. Eng., 2018
An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping.
J. Comput. Inf. Sci. Eng., 2018
An unsupervised machine learning method for discovering patient clusters based on genetic signatures.
J. Biomed. Informatics, 2018
A semantic network model for measuring engagement and performance in online learning platforms.
Comput. Appl. Eng. Educ., 2018
2017
Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity.
Syst. Eng., 2017
Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency.
J. Integr. Des. Process. Sci., 2017
Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1.
J. Comput. Inf. Sci. Eng., 2017
How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information.
J. Biomed. Informatics, 2017
An unsupervised machine learning model for discovering latent infectious diseases using social media data.
J. Biomed. Informatics, 2017
A machine learning approach to product review disambiguation based on function, form and behavior classification.
Decis. Support Syst., 2017
A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications.
Comput. Hum. Behav., 2017
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017
2016
Comput. Hum. Behav., 2016
2015
Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data.
J. Comput. Inf. Sci. Eng., 2015
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors.
Comput. Biol. Medicine, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015
2014
An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages.
J. Biomed. Informatics, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Increasing the veracity of event detection on social media networks through user trust modeling.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Discovering health-related knowledge in social media using ensembles of heterogeneous features.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2009
J. Comput. Inf. Sci. Eng., 2009