The growing volume of unstructured clinical and genetic text calls for automated processing methods that can meaningfully support clinical decision-making. Most existing work, however, treats the analysis of patient clinical descriptions and the interpretation of genetic reports as unrelated tasks, disregarding the seq...
A. Shayakhmetova, M. Sambetbayeva, V. Barakhnin et al.· Information· 0 citations
Renewable-generation forecasting is a probabilistic time-series problem in which point accuracy alone is insufficient for operational decision-making. This study proposes a physics-informed Bayesian framework for multi-horizon forecasting of solar, wind, and total renewable generation. The task is formulated as a 15-di...
Assem Shayakhmetova, N. Tasbolatuly, Guldana Taganova et al.· Mathematics· 0 citations
This paper addresses the placement of concepts that are absent from the target ontology—the out-of-knowledge-base setting—in which a textual mention must be assigned one or more insertion positions in the subsumption hierarchy rather than linked to an existing node.
Zhanna B. Sadirmekova, M. Sambetbayeva, B. Abdygalym et al.· Information· 0 citations
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