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ORCIDChristian E. López
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2020 – today
- 2022
[j8]Thomas Stranick, Christian E. López:
Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers. J. Comput. Inf. Sci. Eng. 22(3) (2022)- 2021
- [j7]Christian E. López
, Caleb Gallemore:
An augmented multilingual Twitter dataset for studying the COVID-19 infodemic. Soc. Netw. Anal. Min. 11(1): 102 (2021) - [c3]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [c2]Christian E. López, Conrad S. Tucker:
Adaptive Gamification and Its Impact on Performance. HCI (28) 2021: 327-341 - [c1]Thomas Stranick, Christian E. López:
Leveraging Virtual Reality and Exergames to Promote Physical Activity. HCI (39) 2021: 392-399 - [i2]Malolan Vasu, Nelson Abreu, Raysa Vásquez, Christian E. López:
Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection. CoRR abs/2108.07135 (2021) - 2020
- [j6]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) - [j5]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) - [i1]Christian E. López, Malolan Vasu, Caleb Gallemore:
Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset. CoRR abs/2003.10359 (2020)
2010 – 2019
- 2019
- [j4]Christian E. López, Conrad S. Tucker:
The effects of player type on performance: A gamification case study. Comput. Hum. Behav. 91: 333-345 (2019) - [j3]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
- [j2]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) - 2017
- [j1]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)
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