Search Results for author:
Found 6 papers, 1 papers with code
Investigating Annotator Bias in Abusive Language Datasets
A prevalent form of bias in hate speech and abusive language datasets is annotator bias caused by the annotator’s subjective perception and the complexity of the annotation task.
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
Sentiment analysis is often a crowdsourcing task prone to subjective labels given by many annotators.
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis
We present a general regularization-based framework for Multi-task learning (MTL), in which the similarity between tasks can be learned or refined using $\ell_p$-norm Multiple Kernel learning (MKL).
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images
Analysis of microscopy images can provide insight into many biological processes.
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
We present a novel regularization-based Multitask Learning (MTL) formulation for Structured Output (SO) prediction for the case of hierarchical task relations.
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing.
