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Found 8 papers, 2 papers with code
SEntFiN 1.0: Entity-Aware Sentiment Analysis for Financial News
Limited studies have tried to address the sentiment extraction task in a setting where multiple entities are present in a news headline.
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer
Relative to a single-Transformer solution using only a third of the high-quality patient data, the solution with two models improved the prediction performance's $R^{2}$ from 88. 8% to 97. 5%.
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Only limited work exists on bilevel problems using evolutionary computation techniques; however, recently there has been an increasing interest due to the proliferation of practical applications and the potential of evolutionary algorithms in tackling these problems.
Optimal Management of Naturally Regenerating Uneven-aged Forests
A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut.
Gold-standard for Topic-specific Sentiment Analysis of Economic Texts
The annotations of 297 documents and over 9000 sentences can be used for research purposes when developing methods for detecting topic-wise sentiment in financial text.
Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts
The objective of this article is to investigate how semantic orientations can be better detected in financial and economic news by accommodating the overall phrase-structure information and domain-specific use of language.
Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization
The efficacy of the algorithm has been shown on two sets of test problems.
A Multi-objective Exploratory Procedure for Regression Model Selection
The model selection is proposed to be performed in two steps.
