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Nudging the agents: Does it reduce discrimination against migrants in the hou...
This study examines the impact of a behavioral intervention on reducing discrimination against Venezuelan migrants in the screening of home rental applications conducted by... -
Estimación de datos faltantes de temperatura combinando IDW y una serie trunc...
Este conjunto de datos no tiene una descripción
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Optimization of sensor locations for a light pollution monitoring network
Este conjunto de datos no tiene una descripción
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Valley Classification using Convolutional Neural Network and a Geomorphons Map
Geomorphological classification serves as a valuable tool for comprehending the origin and evolution of landscapes, as well as for making informed decisions regarding... -
Emerging markets bond index performance and sovereign default: The case of Ec...
This paper delves into the dynamic impact of Ecuador's 2008 sovereign debt default on the subsequent performance of the country's bonds, specifically as measured by the Emerging... -
Exploring gender discrimination: A multi-trial field experiment in urban ecuador
In this study, we investigate the extent and mechanisms of gender-based discrimination in urban Ecuador's hiring practices, a critical issue for understanding persistent gender... -
The house is burning: assessment of habitat loss due to wildfires in Central ...
Fire suppression and climate change have increased the frequency and severity of wildfires, but the responses of many organisms to wildfire are still largely unknown. In this... -
Prejudice, Stereotypes, and Nudges in Rental Discrimination Against Venezuela...
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Gender and Discrimination in Urban Labor Markets: Evidence from a Field Exper...
Este conjunto de datos no tiene una descripción
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Gender Premiums or Penalties in Hiring? Evidence from a Field Experiment in L...
Este conjunto de datos no tiene una descripción
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Constrained optimization of sensor locations for existing light-pollution mon...
Este conjunto de datos no tiene una descripción
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Toxicological and Carcinogenic Risk from Fluoride and Arsenic in Drinking Wat...
Este conjunto de datos no tiene una descripción
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Evolutionary Training of Deep Belief Networks for Handwritten Digit Recognition
Two of the most representative deep architectures are Deep Convolutional Neural Networks and Deep Belief Networks (DBNs).Both of these can be applied to the problem of pattern... -
Blood Vessel Analysis on High Resolution Fundus Retinal Images
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An evolutionary algorithm of linear complexity: application to training of de...
The performance of deep neural networks, such as Deep Belief Networks formed by Restricted Boltzmann Machines (RBMs), strongly depends on their training, which is the process of... -
On the selection of the optimal topology for particle swarm optimization: a s...
In this paper, we deal with the problem of selecting the best topology in Particle Swarm Optimization. Unlike most state-of-the-art papers, where statistical analysis of a large... -
Comparison of Parallel Versions of SA and GA for Optimizing the Performance o...
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Industrial and Robotic Systems: LASIRS 2019
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Computation of the improvement directions of the Pareto front and its applica...
This paper introduces the mathematical development and algorithm of the Improvement-Directions Mapping (IDM) method, which computes improvement directions to "push" the current... -
Kinematic and dynamic design and optimization of a parallel rehabilitation robot
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