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Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification
We attempt to solve this problem through automatic SNOMED CT encoding, where SNOMED CT is one of the most widely used and comprehensive clinical term ontologies.
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
In this work, we investigate the effect of momentum on the optimisation trajectory of gradient descent.
An elliptic adaptation of ideas of Carleman and Domar from complex analysis related to Levinson's log log theorem
Using the three balls inequality, we adapt the elegant ideas of Carleman and Domar from complex analysis to linear elliptic PDE and generalize the classical Levinson's loglog theorem.
Analysis of PDEs Classical Analysis and ODEs Complex Variables
