Leveraging Cognitive Context Knowledge for Argumentation-Based Object Classification in Multi-Sensor Networks
It is a great challenge to achieve interpretable collaborative object classification in multi-sensor networks. In this situation, argumentation-based object classification has been considered a promising paradigm, due to its natural means of justifying and explaining complicated decision making with...
Main Authors: | Zhiyong Hao, Junfeng Wu, Tingting Liu, Xiaohong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8723041/ |
Similar Items
-
AI empowered context-aware smart system for medication adherence
by: Qiong Wu, et al.
Published: (2017-06-01) -
Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME
by: Jonas Herskind Sejr, et al.
Published: (2021-08-01) -
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
by: Giulia Vilone, et al.
Published: (2021-08-01) -
The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
by: Salih Sarp, et al.
Published: (2021-06-01) -
Contextualizing Support Vector Machine Predictions
by: Marcelo Loor, et al.
Published: (2020-09-01)