Jake Luo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 26

Top Topics

Clinical Trials

Symbolic Regression

Gene Expression Programming

Machine Learning

Top Venues

Publications

Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang
Prove Symbolic Regression is NP-hard by Symbol Graph. CoRR (2024)
Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh
A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions. COMPSAC (2023)
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
Exploring hidden semantics in neural networks with symbolic regression. GECCO (2022)
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
Taylor genetic programming for symbolic regression. GECCO (2022)
Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Jake Luo, Min Sook Park, Jeff Whittle, Sheikh Iqbal Ahamed, Hyunkyoung Oh
Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension. COMPSAC (2022)
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
Exploring Hidden Semantics in Neural Networks with Symbolic Regression. CoRR (2022)
Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang
AB-GEP: Adversarial bandit gene expression programming for symbolic regression. Swarm Evol. Comput. 75 (2022)
Ling Tong, Jake Luo, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David Friedland
A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall. COMPSAC (2022)
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
Taylor Genetic Programming for Symbolic Regression. CoRR (2022)
Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang
Enhancing gene expression programming based on space partition and jump for symbolic regression. Inf. Sci. 547 (2021)
D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu
A deep learning study on osteosarcoma detection from histological images. Biomed. Signal Process. Control. 69 (2021)
Jake Luo, Ling Tong, Bradley H. Crotty, Melek Somai, Bradley Taylor, Kristen Osinski, Ben George
Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities. Appl. Clin. Inform. 12 (4) (2021)
Hui Li, Tinglong Tang, Jake Luo, Meng Zhao, Baole Zheng, Yirong Wu
An anomaly detection method based on double encoder-decoder generative adversarial networks. Ind. Robot 48 (5) (2021)
Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang
Adversarial bandit gene expression programming for symbolic regression. GECCO Companion (2021)
Mohammad Alarifi, Timothy Patrick, Abdulrahman Jabour, Min Wu, Jake Luo
Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach. J. Digit. Imaging 34 (3) (2021)
Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo
Health Consumer Social Economic Factors and Health Conditions as Predictor for Health Literacy in Radiology Domain. J. Medical Imaging Health Informatics 11 (11) (2021)
D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu
A Deep Learning Study on Osteosarcoma Detection from Histological Images. CoRR (2020)
Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA (2019)
Ling Tong, Jake Luo, Ron A. Cisler, Michael Cantor
Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events. COMPSAC (2) (2019)
Christina Eldredge, James E. Andrews, Maryam Zolnoori, Timothy B. Patrick, Joel Gallagher, Cesar A. Lam, Jake Luo
Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials. AMIA (2019)
Maryam Zolnoori, Kin Wah Fung, Timothy B. Patrick, Paul A. Fontelo, Hadi Kharrazi, Anthony Faiola, Yi Shuan Shirley Wu, Christina E. Eldredge, Jake Luo, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed, Somaieh Goudarzvand
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. J. Biomed. Informatics 90 (2019)
Tinglong Tang, Shengyong Chen, Meng Zhao, Wei Huang, Jake Luo
Very large-scale data classification based on K-means clustering and multi-kernel SVM. Soft Comput. 23 (11) (2019)
Yiqing Zhao, Nooshin J. Fesharaki, Xiaohui Li, Timothy B. Patrick, Jake Luo
Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes. J. Medical Syst. 42 (6) (2018)
Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu, Jake Luo
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Jake Luo, Weiheng Chen, Min Wu, Chunhua Weng
Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization. Int. J. Medical Informatics 108 (2017)
Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo
Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media. AMIA (2016)
Jake Luo, Timothy B. Patrick
Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining. AMIA (2015)
Jake Luo, Carolyn Apperson-Hansen, Clara M. Pelfrey, Guo-Qiang Zhang
RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration. BMC Medical Informatics Decis. Mak. 14 (2014)