Explainable AI at Work! What Can It Do for Smart Agriculture?-Reference-Cited by-同舟云学术

Explainable AI at Work! What Can It Do for Smart Agriculture?

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM)
language:
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Author:

Cartolano Andrea¹,Cuzzocrea Alfredo²,Pilato Giovanni³,Grasso Giorgio Mario⁴

Affiliation:

1. University of Palermo,DSEAS Dept.,Palermo,Italy

2. University of Calabria,iDEA Lab,Rende,Italy

3. ICAR-CNR, Italian National Research Council,Palermo,Italy

4. University of Messina,COSPECS Dept.,Messina,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9999062/9999075/09999114.pdf?arnumber=9999114

Reference40 articles.

1. Mian: interactive web-based microbiome data table visualization and machine learning platform

2. Modeling adaptive hypermedia with an object-oriented approach and XML;cannataro;Proceedings of the Second International Workshop on Web Dynamics WebDyn WWW 2002,2002

3. A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes

4. Data-driven Social Mood Analysis through the Conceptualization of Emotional Fingerprints

5. "Why Should I Trust You?"

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