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Found 11 papers, 1 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.
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method
Although techniques such as Bayesian optimization perform an intelligent search on a given domain of hyperparameters, it does not guarantee an optimal solution.
BioSimulators: a central registry of simulation engines and services for recommending specific tools
To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators. org), a central registry of the capabilities of simulation tools and consistent Python, command-line, and containerized interfaces to each version of each tool.
Impact of News on the Commodity Market: Dataset and Results
Over the last few years, machine learning based methods have been applied to extract information from news flow in the financial domain.
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
The idea is based on the approximation of the lower level optimal value function mapping, which is an important mapping in bilevel optimization and helps in reducing the bilevel problem to a single level constrained optimization task.
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.
