3 citations · 5 across the 3 of their papers we have counts for
4 papers
Open Set Domain Adaptation by Extreme Value Theory
Yiming Xu, Diego Klabjan
Common domain adaptation techniques assume that the source domain and the target domain share an identical label space, which is problematic since when target samples are unlabeled…
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
Yiming Xu, Diego Klabjan
In model serving, having one fixed model during the entire often life-long inference process is usually detrimental to model performance, as data distribution evolves over time, re…
Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data
Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs +1
Ontology learning is a critical task in industry, dealing with identifying and extracting concepts captured in text data such that these concepts can be used in different tasks, e.…
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
Yiming Xu, Diego Klabjan
k-Nearest Neighbors is one of the most fundamental but effective classification models. In this paper, we propose two families of models built on a sequence to sequence model and a…