Jennifer Jin

According to our database, Jennifer Jin authored at least 9 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Faithful or Plausible? A Counterfactual Analysis of LLM-Generated Explanations for Machine Learning Models.

Shaun Colegado, Jennifer Jin, Yunfei Hou

Proceedings of the International Conference on Semantic Computing, 2026

2022

Autonomous Sprinkler System with MAPE-K.

Mira Kim, Jennifer Jin

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2020

Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.

Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai, Phillip C.-Y. Sheu

BMC Medical Informatics Decis. Mak., 2020

Approaches for Quantifying Video Prominence, Narratives, & Discussion: Engagement on COVID-19 Related YouTube Videos.

Jennifer Jin, Sophia Lam, Onur Savas, Ian McCulloh

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Influence Maximization in GOLAP.

Jennifer Jin

PhD thesis, 2019

2018

Network analysis and GOLAP.

Jennifer Jin, Masahiro Hayakawa

Encycl. Semantic Comput. Robotic Intell., 2018

2017

OLAP and machine learning.

Jennifer Jin

Encycl. Semantic Comput. Robotic Intell., 2017

2015

<i>Technical Survey</i> Graph Databases and Applications.

Shao-Ting Wang, Jennifer Jin, Pete Rivett, Atsushi Kitazawa

Int. J. Semantic Comput., 2015

Semantic Computing for Education.

Jennifer Jin, Mira Kim, Pete Rivett

Int. J. Semantic Comput., 2015