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Novelty detection in UAV images to identify emerging threats in eucalyptus crops
(2022-05-01)
Supervised learning-based methods can identify crop threats in the visual data collected by an Unmanned Aerial Vehicle (UAV). However, as these methods induce classification models from a finite set of a priori known ...
Interoceptive Insular Cortex Mediates Both Innate Fear and Contextual Threat Conditioning to Predator Odor
(2019)
The insular cortex (IC), among other brain regions, becomes active when humans experience fear or anxiety. However, few experimental studies in rats have implicated the IC in threat responses. We have recently reported ...
Review: machine learning techniques applied to cybersecurity
Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
First Steps towards Data-Driven Adversarial Deduplication
(MDPI AG, 2018-07-27)
In traditional databases, the entity resolution problem (which is also known as deduplication)refers to the task of mapping multiple manifestations of virtual objects totheir corresponding real-worldentities. When addressing ...
A LINGUISTIC NOTE ON MINACCIA (“THREAT”) AND ITS HISTORYAPUNTE LINGÜÍSTICO SOBRE LA PALABRA “MINACCIA” Y SU HISTORIA
(Universidade Federal de Santa Maria, 2018)
Machine learning applied to threat intelligence
(Escuela Colombiana de Ingeniería Julio GaravitoIngeniería de Sistemas, 2017)
Introducir los términos de Machine Learning e investigar los diferentes algoritmos que se pueden desarrollar actualmente, con herramientas como Weka y Cuckoo Sandbox, además de conocer diferentes aplicaciones teóricas y ...
An Inescapable Cat Odor Exposure Protocol for Studying Innate and Contextual Threat Conditioning in Rats
(2021)
Animals respond to threatening situations by exhibiting a number of defensive behaviors, including avoidance, freezing, and risk assessment. An animal model with an ethological approach offers a deeper insight into the ...