Conrad S. Tucker

Orcid: 0000-0001-5365-0240

According to our database1, Conrad S. Tucker authored at least 46 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Probabilistic graph networks for learning physics simulations.
J. Comput. Phys., 2024

Mitigating adversarial cascades in large graph environments.
Expert Syst. Appl., 2024

Mitigating Cascading Effects in Large Adversarial Graph Environments.
CoRR, 2024

2023
Culturally competent social robots target inclusion in Africa.
Sci. Robotics, December, 2023

Video-Based Elevated Skin Temperature Detection.
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
Instantaneous Physiological Estimation using Video Transformers.
CoRR, 2022

2021
Evaluation of biases in remote photoplethysmography methods.
npj Digit. Medicine, 2021

Node classification using kernel propagation in graph neural networks.
Expert Syst. Appl., 2021

Graph network for simultaneous learning of forward and inverse physics.
CoRR, 2021

Adaptive Gamification and Its Impact on Performance.
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

Encrypted rich-data steganography using generative adversarial networks.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

2019
Evaluating the Impact of Idea Dissemination Methods on Information Loss.
J. Comput. Inf. Sci. Eng., 2019

Mining Twitter data for causal links between tweets and real-world outcomes.
Expert Syst. Appl. X, 2019

The effects of player type on performance: A gamification case study.
Comput. Hum. Behav., 2019

2018
Discovering Discontinuity in Big Financial Transaction Data.
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

Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data.
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

Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

Generative adversarial networks for increasing the veracity of big data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Implications of Generative Models in Government.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
Knowledge discovery of game design features by mining user-generated feedback.
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

Modeling Individual-Level Infection Dynamics Using Social Network Information.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Automatic Discovery of Service Name Replacements Using Ledger Data.
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

On the ground validation of online diagnosis with Twitter and medical records.
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
Data-Driven Decision Tree Classification for Product Portfolio Design Optimization.
J. Comput. Inf. Sci. Eng., 2009


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