The Rise Of Explainable AI: Bringing Transparency And Trust To Algorithmic Decisions
As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...
idw16d
Infographics instead of text: study shows that visual assistance increases decision-making competence in complex cancer
In order to improve communication between doctors and patients, researchers at the National Center for Tumor Diseases (NCT/UCC) Dresden and the Faculty of Psychology at TUD Dresden University of ...
Medical Xpress16d
Infographics over text: Visual assistance can increase decision-making competence in complex cancer
In order to improve communication between doctors and patients, researchers have now developed visual aids to help patients understand treatment plans. Thanks to numerous research projects ...
BBC25d
Trees might not be acting in the way we thought - this forest fitted with pipes can tell us why
This oak tree has stood in this very spot since long before he or I walked the Earth. It is early winter when MacKenzie, an atmospheric scientist and director of Birmingham University Institute ...
GitHub26d
GBDT-MO: Gradient Boosted Decision Tree for Multiple Outputs
Gradient boosted decision tree (GBDT) is a popular machine learning algorithm. Current open-sourced GBDT implementations are mainly designed for single output. When there are multiple outputs, they ...
IEEE28d
On the Adversarial Robustness of Decision Trees and a Symmetry Defense
Abstract: Gradient-boosting decision tree classifiers (GBDTs) are susceptible to adversarial perturbation attacks that change inputs slightly to cause misclassification. GBDTs are customarily used on ...