Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery

Maria Alexandra Theodorescu; Jacob Furst; Daniela Stan Raicu; Roselyne Tchoua

doi:10.1109/TransAI60598.2023.00021

Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery

Maria Alexandra Theodorescu
, Jacob Furst
, Daniela Stan Raicu
, Roselyne Tchoua

DePaul University

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

Original language	English
Title of host publication	Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Pages	71-78
Number of pages	8
ISBN (Electronic)	9798350358018
DOIs	https://doi.org/10.1109/TransAI60598.2023.00021
State	Published - 2023
Event	5th International Conference on Transdisciplinary AI, TransAI 2023 - Hybrid, Laguna Hills, United States Duration: Sep 25 2023 → Sep 27 2023

Publication series

Name	Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023

Conference

Conference	5th International Conference on Transdisciplinary AI, TransAI 2023
Country/Territory	United States
City	Hybrid, Laguna Hills
Period	9/25/23 → 9/27/23

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Modeling and Simulation

Keywords

Hierarchical Clustering
K-means
Materials Informatics
Spectral Clustering
Uncertainty Metric
XRD Data

Access to Document

10.1109/TransAI60598.2023.00021

Cite this

Theodorescu, M. A., Furst, J., Raicu, D. S., & Tchoua, R. (2023). Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. In Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023 (pp. 71-78). (Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/TransAI60598.2023.00021

Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. / Theodorescu, Maria Alexandra; Furst, Jacob; Raicu, Daniela Stan et al.
Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023. IEEE (Institute of Electrical and Electronics Engineers), 2023. p. 71-78 (Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023).

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

Theodorescu, MA, Furst, J, Raicu, DS & Tchoua, R 2023, Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. in Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023. Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023, IEEE (Institute of Electrical and Electronics Engineers), pp. 71-78, 5th International Conference on Transdisciplinary AI, TransAI 2023, Hybrid, Laguna Hills, United States, 9/25/23. https://doi.org/10.1109/TransAI60598.2023.00021

Theodorescu MA, Furst J, Raicu DS, Tchoua R. Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. In Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023. IEEE (Institute of Electrical and Electronics Engineers). 2023. p. 71-78. (Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023). doi: 10.1109/TransAI60598.2023.00021

Theodorescu, Maria Alexandra ; Furst, Jacob ; Raicu, Daniela Stan et al. / Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023. IEEE (Institute of Electrical and Electronics Engineers), 2023. pp. 71-78 (Proceedings - 2023 5th International Conference on Transdisciplinary AI, TransAI 2023).

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Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this