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Author

Yuki Tanaka

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Open access 2024

AI-Driven Software Engineering: Optimizing Distributed Systems for Scalable Machine Learning Workflows

This paper explores the integration of artificial intelligence techniques into software engineering practices to optimize distributed systems for scalable machine learning (ML) workflows. As ML models grow in complexity and data volume, traditional system design approaches struggle to meet the demands of performance, s...

Yuki Tanaka · 0 citations
Open access Aug 2026

Scale Intellect: An Intelligent Combinatorial LLM Framework for Adaptive Scalability Constraint Solving

ScaleIntellect is proposed, an intelligent combinatorial Large Language Model (LLM) framework designed to reason over heterogeneous scalability constraints and construct adaptive solution combinations that provides a conceptual foundation for adaptive scalability management across cloud computing, distributed services,...

Yuki Tanaka · 0 citations
Review Open access 2023

Automated Feature Engineering Techniques for Tabular Data

The effectiveness of automated feature engineering is proved by experimental results that show that the method can enhance the accuracy and robustness of models as well as improve generalization with respect to the multiple benchmark datasets.

Yuki Tanaka, Kenji Sato · 0 citations

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