Implementing SNOOP-AI in CoModIDE

Alexis Ellis; Brandon Dave; Hugh Salehi; Subhashini Ganapathy; Cogan Shimizu

doi:10.1109/NAECON61878.2024.10670635

Implementing SNOOP-AI in CoModIDE

Alexis Ellis
, Brandon Dave
, Hugh Salehi
, Subhashini Ganapathy
, Cogan Shimizu

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Artificial Intelligence (AI) has surged to the fore-front of many major research interests in many different do-mains. Since research in AI is constantly evolving and is becoming more complex, it can be difficult to understand and explain what many of these systems are doing internally. The push to develop a way to represent, communicate, and explain AI systems is becoming more prevalent as the field continues to expand. This paper builds upon current research with a focus on explainable AI taking from our developed framework of EASY-AI and integrating it into a more applicable way with CoModIDE.

Original language	English
Title of host publication	NAECON 2024 - IEEE National Aerospace and Electronics Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	101-104
Number of pages	4
ISBN (Electronic)	979-8-3503-6762-1
ISBN (Print)	979-8-3503-6763-8
DOIs	https://doi.org/10.1109/NAECON61878.2024.10670635
State	Published - 2024
Event	76th Annual IEEE National Aerospace and Electronics Conference, NAECON 2024 - Dayton, United States Duration: Jul 15 2024 → Jul 18 2024

Publication series

Name	Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
ISSN (Print)	0547-3578
ISSN (Electronic)	2379-2027

Conference

Conference	76th Annual IEEE National Aerospace and Electronics Conference, NAECON 2024
Country/Territory	United States
City	Dayton
Period	7/15/24 → 7/18/24

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

Artificial Intelligence
Explainability
Symbols

Access to Document

10.1109/NAECON61878.2024.10670635

Cite this

Ellis, A., Dave, B., Salehi, H., Ganapathy, S., & Shimizu, C. (2024). Implementing SNOOP-AI in CoModIDE. In NAECON 2024 - IEEE National Aerospace and Electronics Conference (pp. 101-104). (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAECON61878.2024.10670635

Implementing SNOOP-AI in CoModIDE. / Ellis, Alexis; Dave, Brandon; Salehi, Hugh et al.
NAECON 2024 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc., 2024. p. 101-104 (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ellis, A, Dave, B, Salehi, H, Ganapathy, S & Shimizu, C 2024, Implementing SNOOP-AI in CoModIDE. in NAECON 2024 - IEEE National Aerospace and Electronics Conference. Proceedings of the IEEE National Aerospace Electronics Conference, NAECON, Institute of Electrical and Electronics Engineers Inc., pp. 101-104, 76th Annual IEEE National Aerospace and Electronics Conference, NAECON 2024, Dayton, United States, 7/15/24. https://doi.org/10.1109/NAECON61878.2024.10670635

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Implementing SNOOP-AI in CoModIDE

Abstract

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this