Porter Jenkins
Cited by
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Unsupervised representation learning of spatial data via multimodal embedding
P Jenkins, A Farag, S Wang, Z Li
Proceedings of the 28th ACM international conference on information and …, 2019
Clickgraph: Web page embedding using clickstream data for multitask learning
P Jenkins
Companion proceedings of the 2019 World Wide Web conference, 37-41, 2019
Gremlins in the Data: Identifying the Information Content of Research Subjects
JR Howell, P Ebbes, JC Liechty
Journal of Marketing Research 58 (1), 74-94, 2021
A probabilistic simulator of spatial demand for product allocation
P Jenkins, H Wei, JS Jenkins, Z Li
arXiv preprint arXiv:2001.03210, 2020
Learning task-specific city region partition
H Wang, P Jenkins, H Wei, F Wu, Z Li
The World Wide Web Conference, 3300-3306, 2019
Neural Utility Functions
P Jenkins, A Farag, JS Jenkins, H Yao, S Wang, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2021 35 …, 2021
Natural language annotations for search engine optimization
P Jenkins, J Zhao, H Vinicombe, A Subramanian, A Prasad, A Dobi, E Li, ...
Proceedings of The Web Conference 2020, 2856-2862, 2020
Multitask behavior prediction with content embedding
B Ainscough, P Jenkins
US Patent App. 16/889,790, 2020
CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects
P Jenkins, K Armstrong, S Nelson, S Gotad, JS Jenkins, W Wilkey, T Watts
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Probabilistic simulation of spatial demand for intelligent product allocation
P Jenkins, H Wei, JS Jenkins, Z Li
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoSpatial …, 2021
Knowledge-based Residual Learning
G Zheng, C Liu, H Wei, P Jenkins, C Chen, T Wen, Z Li
International Joint Conferences on Artificial Intelligence 2021, 2021
Structured Paragraph Embeddings of Financial Earnings Calls
P Jenkins
Companion Proceedings of the Web Conference 2020, 264-268, 2020
Enabling Insights by Long-Term Evaluation of Social Impact Indicators of Engineered Products for Global Development Using In Situ Sensors and Deep Learning
BJ Stringham, CA Mattson, P Jenkins, E Dahlin, II Okware
Journal of Mechanical Design 145 (11), 2023
System and method for three dimensional object counting
B Curtis, KW Armstrong, PR Jenkins
US Patent App. 17/501,810, 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
P Jenkins, H Wei, JS Jenkins, Z Li
Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, 2022
Overview of the 1st Workshop on City Brain Research
G Zheng, P Jenkins, Y Xu, D Chen
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Towards Sample Efficiency in Deep Learning
P Jenkins
The Pennsylvania State University, 2020
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