200 research outputs found
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN
Layer-wise Relevance Propagation (LRP) and saliency maps have been recently
used to explain the predictions of Deep Learning models, specifically in the
domain of text classification. Given different attribution-based explanations
to highlight relevant words for a predicted class label, experiments based on
word deleting perturbation is a common evaluation method. This word removal
approach, however, disregards any linguistic dependencies that may exist
between words or phrases in a sentence, which could semantically guide a
classifier to a particular prediction. In this paper, we present a
feature-based evaluation framework for comparing the two attribution methods on
customer reviews (public data sets) and Customer Due Diligence (CDD) extracted
reports (corporate data set). Instead of removing words based on the relevance
score, we investigate perturbations based on embedded features removal from
intermediate layers of Convolutional Neural Networks. Our experimental study is
carried out on embedded-word, embedded-document, and embedded-ngrams
explanations. Using the proposed framework, we provide a visualization tool to
assist analysts in reasoning toward the model's final prediction.Comment: NIPS 2018 Workshop on Challenges and Opportunities for AI in
Financial Services: the Impact of Fairness, Explainability, Accuracy, and
Privacy, Montr\'eal, Canad
The duck β-globin gene cluster contains a single enhancer element
AbstractAn erythroid-specific enhancer was previously identified in the 3′-flanking region of the β adult gene in chicken and duck, by transfection into AEV transformed chicken erythroblasts. Here we show that the duck enhancer is equally active in erythroid human K562 cells, presenting an embryonic/fetal program of globin gene expression. Furthermore, no other enhancer was found within the 20 kb of DNA including four β-like globin genes as well as a 1.5 kb upstream and a 3 kb downstream sequence
MODIS reflective and active fire data for burn mapping at regional level
This paper presents an analysis on the forest fires occurred in Galicia (northwest Spain) in August 2006, when nearly 930km2 were almost entirely burned over the course of eight days. This study presents an algorithm for burn mapping that synergistically combines remotely-sensed reflectance and active fire data as measured by the MODIS (MODerate resolution Imaging Spectrometer) sensor on board Terra NASA (National Aeronautics and Space Administration) satellite. Burned area data collected from this work was compared to official fires statistics from the Spanish Ministry of Environment and to perimeters that were derived using a high spatial resolution satellite image
Estimación de la superficie quemada en los incendios forestales de Canarias en 2007 utilizando sinérgicamente imágenes MODIS y anomalÃas térmicas
El presente trabajo plantea una metodologÃa rápida, precisa y económica para la estimación del área quemada en los incendios forestales utilizando técnicas de teledetección. El algoritmo utilizado se basa en la determinación o establecimiento de umbrales a partir de la banda del infrarrojo cercano. Se han utilizados los productos de reflectancia MODIS y las series temporales de anomalÃas térmicas proporcionadas por la NASA. Dicho umbral que separa área quemada de noquemada se ha basado en la búsqueda de la máxima coincidencia entre área quemada definida por la banda del infrarrojo cercano y zona de influencia de las anomalÃas térmicas. Los resultados muestran la utilidad de la metodologÃa propuesta para la estimación de áreas quemadas y su importancia a la hora de localizar de una forma rápida las zonas de intervención prioritaria, asà como para la planificación de futuros trabajos de restauración de la zona afectada
Parents\u27 Perceptions of their Role in Early Childhood Health
The purpose of this study was to conduct exploratory analyses regarding parents’ perceptions of their role in the health of young children. This study also sought to understand the differences in parents’ perceived roles and their levels of concern for their children’s health status. Understanding such differences is critical to identifying specific areas that might require further intervention
Parents\u27 Perceptions of their Role in Early Childhood Health
The purpose of this study was to conduct exploratory analyses regarding parents’ perceptions of their role in the health of young children. This study also sought to understand the differences in parents’ perceived roles and their levels of concern for their children’s health status. Understanding such differences is critical to identifying specific areas that might require further intervention
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