Achieving Fairness with Decision Trees: An Adversarial Approach
Sign Up to like & getrecommendations! Published in 2020 at "Data Science and Engineering"
DOI: 10.1007/s41019-020-00124-2
Abstract: Fair classification has become an important topic in machine learning research. While most bias mitigation strategies focus on neural networks, we noticed a lack of work on fair classifiers based on decision trees even though… read more here.
Keywords: decision trees; tree boosting; gradient tree; approach ... See more keywords
Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.10.028
Abstract: Abstract Identification of underground formation lithology from well log data is an important task in petroleum exploration and engineering. Recently, several computational algorithms have been used for lithology identification to improve the prediction accuracy. In… read more here.
Keywords: gradient tree; formation lithology; model; lithology ... See more keywords
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting
Sign Up to like & getrecommendations! Published in 2018 at "Health Informatics Journal"
DOI: 10.1177/1460458216656471
Abstract: Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim is to build a surveillance system that reliably detects all patient records that… read more here.
Keywords: gradient tree; acquired infections; support vector; hospital ... See more keywords