Results 21 to 30 of about 20,583 (298)
conrad-blucher-institute/xai-raster-vis-tools: Release for AMS 2023
, 2022 Scripts for visualizing (rows, columns, channels) outputs of XAI ...
Evan Krell
core +1 more source
Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Complex datasets hold a special place among engineers as the engineering community seeks to solve some of the world’s most difficult problems, but with complexity, comes difficulty in analysis and interpretation.
Brandon Hines +2 more
doaj +1 more source
Recruitment systems nowadays: how XAI can improve trust [PDF]
, 2023 openThe use of artificial intelligence systems has a strong impact on people’s lives. One of the fields of application in which these systems are being tested is job recruitment.
GORTANA, CESARE
core
ayiork/Label-Free-XAI: Reproducibility Study: Label-Free Explainability for Unsupervised Models
, 2023 This repository contains the reproducibility study of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'
Mara Pislar +4 more
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COMPARATIVE STUDY OF XAI USING FORMAL CONCEPT LATTICE AND LIME
ICTACT Journal on Soft Computing, 2022 Local Interpretable Model Agnostic Explanation (LIME) is a technique to explain a black box machine learning model using a surrogate model approach.
Bhaskaran Venkatsubramaniam +1 more
doaj +1 more source
XAI—Explainable artificial intelligence [PDF]
Science Robotics, 2019 Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
David Gunning +5 more
openaire +5 more sources
SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables
Bioengineering, 2023 This work presents SeizFt—a novel seizure detection framework that utilizes machine learning to automatically detect seizures using wearable SensorDot EEG data.
Irfan Al-Hussaini, Cassie S. Mitchell
doaj +1 more source
Current Directions in Biomedical Engineering, 2022 Deep Learning-based tissue classification may support pathologists in analyzing digitized whole slide images. However, in such critical tasks, only approaches that can be validated by medical experts in advance to deployment, are suitable.
Mohammed Aliya +8 more
doaj +1 more source
SIGGRAPH Asia 2020 Courses, 2020 • Do Machine Learning algorithms have a Soul? • Could they understand every day's reality as us Humans do? • What the consequence of their Creativity? • Can they help us to understand world better?
Hughes, R +5 more
openaire +3 more sources