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Essays on Financial Machine Learning: Nonlinearity, Predictability and Data-Theory Integration
Also available via: Open MIND
Also available via: Open MIND
Mass cytometry is a powerful technique for quantifying intracellular and membrane proteins at single-cell resolution. However, the vast amount of data it generates requires advanced analytical methods to extract meaningful biological insights. While machine learning (ML) has emer…
Also available via: Open MIND
With increasing emphasis on energy efficiency and carbon emission reduction in the building sector, rapid and scalable energy modelling of existing buildings is critical for retrofit projects and policy development. Conventional surveys, data collection and energy modelling proce…
Also available via: Open MIND
Also available via: Open MIND
Embedded finance is usually described as the integration of financial services into non-financial platforms. This article argues that the deeper regulatory transformation is the embedding of future legal and economic obligations into ordinary consumption, work, business, and ente…
CLIP is a proposed AI-native learning platform built around Digital Ink Intelligence. Rather than replacing handwriting with typing, CLIP captures every pen stroke as structured digital data in real time, derives thirteen multidimensional Learning Signals, generates comprehensive…
Final reproducible workflow for the manuscript "Prediction of Microemulsion Phase Classes from Formulation Variables Using Machine Learning and Feature Importance". This release contains the raw dataset, cleaned dataset, data dictionary, Python workflow, package requirements, gen…