most citedRough Set Based Color Channel Selection

24 citations · 25 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL20235 cited

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models

Hao Li, Yuping Wu, Viktor Schlegel +7

Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers. Au…

cs.CL20231 cited

A Two-Stage Decoder for Efficient ICD Coding

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap +1

Clinical notes in healthcare facilities are tagged with the International Classification of Diseases (ICD) code; a list of classification codes for medical diagnoses and procedures…

cs.AI20234 cited

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap +4

Clinical notes are assigned ICD codes - sets of codes for diagnoses and procedures. In the recent years, predictive machine learning models have been built for automatic ICD coding…

cs.CV20221 cited

Generating near-infrared facial expression datasets with dimensional affect labels

Calvin Chen, Stefan Winkler

Facial expression analysis has long been an active research area of computer vision. Traditional methods mainly analyse images for prototypical discrete emotions; as a result, they…

cs.CV20171 cited

Systematic study of color spaces and components for the segmentation of sky/cloud images

Soumyabrata Dev, Yee Hui Lee, Stefan Winkler

Sky/cloud imaging using ground-based Whole Sky Imagers (WSI) is a cost-effective means to understanding cloud cover and weather patterns. The accurate segmentation of clouds in the…

cs.CV201624 cited

Rough Set Based Color Channel Selection

Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee +1

Color channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras. Most prior works in cloud segmentation use thresh…