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Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box
(2021-08-01)
Even though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their level of accountability and transparency must be provided in such evaluations. The ...
Color coding in the cortex: a modified approach to bottom-upvisual attention
(Universidad Autónoma de Occidente, 2012-09)
Itti and Koch’s (Vision Research 40:1489–1506,2000) saliency-based visual attention model is a broadlyaccepted model that describes how attention processes aredeployed in the visual cortex in a pure bottom-up strategy.This ...
Visual attention and novelty detection: experiments with automatic scale selection
(Curitiba, 2006)
We present experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment using camera images. Experiments were conducted with two different attention mechanisms — saliency ...
Visual novelty detection with automatic scale selection
(Curitiba, 2007-05)
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two different attention mechanisms — saliency map ...
Commentary: Attentional control and the self: The Self-Attention Network (SAN)
(Frontiers Research Foundation, 2015-10)
The Self-Attention Network (SAN) model (Humphreys & Sui, 2015) is a recent neurocognitive model to account for self-biases in the allocation of attention. It emerges from psychological, neuropsychological, and neuroimaging ...
Una revisión de modelos de atención visual Bottom-up neurobiológicamente inspirados
(Universidad Autónoma de Occidente, 2010)
La atención visual es un proceso desarrollado sobre gran parte del área de procesamiento visual primario. El procesamiento cerebral provoca la focalización selectiva de los objetos del campo visual que compiten por ...
Early detection of intentional harm in the human amygdala
(Oxford University Press, 2016-01)
A decisive element of moral cognition is the detection of harm and its assessment as intentional or unintentional. Moral cognition engages brain networks supporting mentalizing, intentionality, empathic concern and evaluation. ...
Do You See What I Am Saying? Electrophysiological Dynamics Of Visual Speech Processing And The Role Of Orofacial Effectors For Cross-Modal Predictions.
(2019)
The need of a comprehensive model to account for the neurobiology of language has quite a long history. New empirical data have challenged classical models. A new framework is needed to foster our understanding of brain ...
Uma abordagem para detecção de pessoas em imagens de veículos aéreos não-tripulados
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2016-06-14)
This work aims to propose a method for people recognition in Small Unmanned Aerial Vehicles aerial imagery. This is an application of high interest, it can be used in several situations, both civilian and military, as ...