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ORCIDConrad S. Tucker
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2020 – today
- 2024
[j31]James Cunningham
, Conrad S. Tucker:
Mitigating adversarial cascades in large graph environments. Expert Syst. Appl. 258: 125243 (2024)- [j30]Sakthi Kumar Arul Prakash, Conrad S. Tucker:
Probabilistic graph networks for learning physics simulations. J. Comput. Phys. 513: 113137 (2024) - [i4]James Cunningham, Conrad S. Tucker:
Mitigating Cascading Effects in Large Adversarial Graph Environments. CoRR abs/2404.14418 (2024) - 2023
- [j29]Adedayo Akinade, Yohannes Haile, Natasha Mutangana, Conrad S. Tucker, David Vernon:
Culturally competent social robots target inclusion in Africa. Sci. Robotics 8(85) (2023) - [j28]Ananyananda Dasari, Ambareesh Revanur, László A. Jeni, Conrad S. Tucker:
Video-Based Elevated Skin Temperature Detection. IEEE Trans. Biomed. Eng. 70(8): 2430-2444 (2023) - [j27]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): 1188-1197 (2023) - 2022
- [i3]Ambareesh Revanur, Ananyananda Dasari, Conrad S. Tucker, László A. Jeni:
Instantaneous Physiological Estimation using Video Transformers. CoRR abs/2202.12368 (2022) - 2021
- [j26]Sakthi Kumar Arul Prakash, Conrad S. Tucker:
Node classification using kernel propagation in graph neural networks. Expert Syst. Appl. 174: 114655 (2021) - [j25]Ananyananda Dasari, Sakthi Kumar Arul Prakash, László A. Jeni, Conrad S. Tucker:
Evaluation of biases in remote photoplethysmography methods. npj Digit. Medicine 4 (2021) - [c12]Christian E. López, Conrad S. Tucker:
Adaptive Gamification and Its Impact on Performance. HCI (28) 2021: 327-341 - [i2]Sakthi Kumar Arul Prakash, Conrad S. Tucker:
Graph network for simultaneous learning of forward and inverse physics. CoRR abs/2112.07054 (2021) - 2020
- [j24]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) - [j23]Christian E. López, Conrad S. Tucker:
Toward Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance. IEEE Trans. Games 12(2): 155-168 (2020) - [c11]Dule Shu, Nandi O. Leslie, Charles A. Kamhoua, Conrad S. Tucker:
Generative adversarial attacks against intrusion detection systems using active learning. WiseML@WiSec 2020: 1-6 - [c10]Dule Shu, Weilin Cong, Jiaming Chai, Conrad S. Tucker:
Encrypted rich-data steganography using generative adversarial networks. WiseML@WiSec 2020: 55-60
2010 – 2019
- 2019
- [j22]Christian E. López, Conrad S. Tucker:
The effects of player type on performance: A gamification case study. Comput. Hum. Behav. 91: 333-345 (2019) - [j21]Sung Hoon Lim, Conrad S. Tucker:
Mining Twitter data for causal links between tweets and real-world outcomes. Expert Syst. Appl. X 3: 100007 (2019) - [j20]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) - 2018
- [j19]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): 1481-1492 (2018) - [j18]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: 30-39 (2018) - [j17]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) - [j16]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) - [j15]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) - [j14]Suppawong Tuarob, Ray Strong, Anca Chandra, Conrad S. Tucker:
Discovering Discontinuity in Big Financial Transaction Data. ACM Trans. Manag. Inf. Syst. 9(1): 3:1-3:26 (2018) - 2017
- [j13]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: 42-58 (2017) - [j12]Abhinav Singh, Conrad S. Tucker:
A machine learning approach to product review disambiguation based on function, form and behavior classification. Decis. Support Syst. 97: 81-91 (2017) - [j11]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: 82-94 (2017) - [j10]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: 1-19 (2017) - [j9]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) - [j8]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): 61-78 (2017) - [j7]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): 483-496 (2017) - [j6]Todd J. Bodnar, Matthew L. Dering, Conrad S. Tucker, Kenneth M. Hopkinson:
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): 2627-2640 (2017) - [c9]Matthew L. Dering, Conrad S. Tucker:
Implications of Generative Models in Government. AAAI Fall Symposia 2017: 158-163 - [c8]Matthew L. Dering, Conrad S. Tucker:
Generative adversarial networks for increasing the veracity of big data. IEEE BigData 2017: 2595-2602 - [c7]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: 363-365 - 2016
- [j5]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: 361-371 (2016) - 2015
- [j4]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: 120-134 (2015) - [j3]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) - [c6]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: 624-631 - [c5]Suppawong Tuarob, Conrad S. Tucker, Marcel Salathé, Nilam Ram:
Modeling Individual-Level Infection Dynamics Using Social Network Information. CIKM 2015: 1501-1510 - 2014
- [j2]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: 255-268 (2014) - [c4]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: 636-643 - [c3]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: 163-175 - [c2]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: 651-656 - [i1]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 abs/1404.3026 (2014) - 2013
- [c1]Suppawong Tuarob, Conrad S. Tucker, Marcel Salathé, Nilam Ram:
Discovering health-related knowledge in social media using ensembles of heterogeneous features. CIKM 2013: 1685-1690
2000 – 2009
- 2009
- [j1]Conrad S. Tucker, Harrison M. Kim:
Data-Driven Decision Tree Classification for Product Portfolio Design Optimization. J. Comput. Inf. Sci. Eng. 9(4) (2009)
Coauthor Index
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