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Deep Learning Approach for Incongruous Data: Dataset Matters

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Cybernetics

DOI: 10.1109/icmlc63072.2024.10935065

Authors: Tina Torabinejad, Kanika Sood

Institution: California State University, Fullerton

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408896972

FWCI:

Cites: 15

Cited by:

Related to: 10