activity
20182026
most citedNovel Prediction Techniques Based on Clusterwise Linear Regression

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection

Chang Liu, Jieshi Chen, Alexander J. Sundermann +5

Accurate and timely identification of hospital outbreak clusters is crucial for preventing the spread of infections that have epidemic potential. While assessing pathogen similarit…

cs.LG2025

STAMP: Spatial-Temporal Adapter with Multi-Head Pooling

Brad Shook, Abby Turner, Jieshi Chen +4

Time series foundation models (TSFMs) pretrained on data from multiple domains have shown strong performance on diverse modeling tasks. Various efforts have been made to develop fo…

cs.LG2024

Multimodal Structure Preservation Learning

Chang Liu, Jieshi Chen, Lee H. Harrison +1

When selecting data to build machine learning models in practical applications, factors such as availability, acquisition cost, and discriminatory power are crucial considerations.…

cs.CL2022★ 2 cited

Classifying Unstructured Clinical Notes via Automatic Weak Supervision

Chufan Gao, Mononito Goswami, Jieshi Chen +1

Healthcare providers usually record detailed notes of the clinical care delivered to each patient for clinical, research, and billing purposes. Due to the unstructured nature of th…

cs.LG2018★ 5 cited

Novel Prediction Techniques Based on Clusterwise Linear Regression

Igor Gitman, Jieshi Chen, Eric Lei +1

In this paper we explore different regression models based on Clusterwise Linear Regression (CLR). CLR aims to find the partition of the data into clusters, such that linear re…