Generating Natural Language Adversarial Examples [PDF]
Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations to correctly classified examples which can cause the model to misclassify.
M. Alzantot+5 more
semanticscholar +1 more source
Review on visualization technology in simulation training system for major natural disasters
Major natural disasters have occurred frequently in the last few years, resulting in increased loss of life and economic damage. Most emergency responders do not have first-hand experience with major natural disasters, and thus, there is an urgent need ...
Ning Li+4 more
semanticscholar +1 more source
A Decomposable Attention Model for Natural Language Inference [PDF]
We propose a simple neural architecture for natural language inference. Our approach uses attention to decompose the problem into subproblems that can be solved separately, thus making it trivially parallelizable.
Ankur P. Parikh+3 more
semanticscholar +1 more source
ESTUDIO DE CATEGORÍAS, CARACTERÍSTICAS Y ATRIBUTOS EN LA TENDENCIA EN INVESTIGACIÓN CIENTÍFICA SOBRE LODOS RESIDUALES EN PTAR’s DE ORIGEN MUNICIPAL [PDF]
Se utilizó una metodología basada en 4 fases para el análisis bibliométrico, que consiste en un paso de instalación, recolección, refinación y análisis, para la refinación se proponen 12 categorías y 44 subcategorías, identificadas con alabras clave de ...
Oble Martínez, Sandra
core
Natural Products as Sources of New Drugs from 1981 to 2014.
This contribution is a completely updated and expanded version of the four prior analogous reviews that were published in this journal in 1997, 2003, 2007, and 2012.
D. Newman, G. Cragg
semanticscholar +1 more source
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems [PDF]
© 2015 Association for Computational Linguistics. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usability and perceived quality.
Tsung-Hsien Wen+5 more
semanticscholar +1 more source
Genome mining methods to discover bioactive natural products
Covering: 2016 to 2021 With genetic information available for hundreds of thousands of organisms in publicly accessible databases, scientists have an unprecedented opportunity to meticulously survey the diversity and inner workings of life.
Katherine D. Bauman+3 more
semanticscholar +1 more source
Caracterización genómico funcional de los neuropéptidos Allatotropina y Allatostatina-C y sus receptores en insectos vectores de la enfermedad de Chagas [PDF]
Allatotropina (AT) y Allatostatina-C (AST-C), son neurohormonas de naturaleza proteica caracterizadas por su capacidad de estimular o inhibir la síntesis de hormonas juveniles en insectos, respectivamente. Estos péptidos han demostrado ser pleiotrópicos.
Villalobos Sambucaro, María José
core +2 more sources
Covering: 2015 up to the end of 2020Even in the golden age of NMR, the number of natural products being incorrectly assigned is becoming larger every day.
Maribel O Marcarino+3 more
semanticscholar +1 more source
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products
Computational approaches such as genome and metabolome mining are becoming essential to natural products (NPs) research. Consequently, a need exists for an automated structure-type classification system to handle the massive amounts of data appearing for
Hyun Woo Kim+11 more
semanticscholar +1 more source