Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
Author:
Affiliation:
1. Waseda University, Tokyo, Japan
2. Telkom University, Bandung, Indonesia
Funder
JST-Mirai Program
JST SPRING
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3644815.3644986
Reference5 articles.
1. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
2. Jati H. Husen et al. 2023. Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems. In MODELSWARD. Lisbon, Portugal, 194--201.
3. 2023. Deep Learning Classification of Drusen, Choroidal Neovascularization, and Diabetic Macular Edema in Optical Coherence Tomography (OCT) Images;Riazi Esfahani;Cureus,2023
4. Valliappa Lakshmanan, Sara Robinson, and Michael Munn. 2020. Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps. O'Reilly Media, Inc.
5. Nadia Nahar Haoran Zhang Grace Lewis Shurui Zhou and Christian Kästner. 2023. A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. In CAIN. 171--183.
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