Advanced Analytics
Advanced analytics leverages sophisticated computational methods, including machine learning and large language models, to extract actionable insights from diverse data sources, such as tabular data, text, and sensor readings. Current research emphasizes integrating these techniques for tasks like predictive maintenance, cybersecurity threat detection, and financial risk assessment, often employing time series analysis, semi-supervised learning, and AutoML pipelines. This field is significantly impacting various sectors by enabling more efficient decision-making, improved resource allocation, and enhanced risk mitigation strategies.
Papers
August 12, 2024
May 24, 2024
February 15, 2024
December 21, 2023
December 3, 2023
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March 28, 2023
December 5, 2022