DETECTION TASK
Attention wins over sensory attenuation in a sound detection task
... ‘ Sensory attenuation ’ , i.e., reduced neural responses to self-induced compared to externally generated stimuli, is a well-established phenomenon. However, very few studies directly compared sensory attenuation with ...
9
Maintaining foveal fixation during a peripheral detection task
... To better interpret the results from this saccade analysis, baseline saccade measure- ments were taken from 5 of the 10 partici- pants for each condition. For these baseline measurements, participants wore the eye- ...
12
The effect of feedback on performance in a fracture detection task
... the task is simple enough for experts that a glance or peripheral vision provides enough information to make a ...the task changes to one that involves interpretation of the feedback information and ...
8
Competitive Action Video Games’ Effect on Cognitive Abilities : The Case of Overwatch
... Research into the effects of video game play on performance in psychophysical tasks has seen a surge in the last decade. The type of players studied however might not have been the optimal population. This study focuses ...
51
Rangelov, Dragan (2010): Sequence effects in simple cognitive tasks: the multiple-weighting-systems hypothesis. Dissertation, LMU München: Graduate School of Systemic Neurosciences (GSN)
... To account for the DREs observed in the singleton detection task, Müller and colleagues (e.g., Müller & Krummenacher, 2006; Müller, Krummenacher, & Heller, 2004; Muller, Reimann, & Krummenacher, ...
137
Emotion has no impact on attention in a change detection flicker task
... One study that comes close to measuring how visual attention is allocated through space and how emotion influences this was conducted by Wadlinger and Isaacowitz (2006). Similar to the current experiment they used natural ...
10
Decreased activation along the dorsal visual pathway after a 3 month treatment with Galantamine in mild Alzheimer's disease
... recognition task, that after a single dose of galantamine there was increased activation bilaterally in the parahippocampal area and left hippocampus compared to the activation level before the galantamine ...
38
An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures
... In the past, researchers usually studied hand-crafted fea- tures within the traditional detection framework. For example, Dalal et al. [6] used support vector machine with the Histogram of Oriented Gradients ...
9
Multi Task Stance Detection with Sentiment and Stance Lexicons
... stance detection task aims to determine whether people are in favor of, against, or neu- tral towards a specific ...This task is simi- lar to the three-way aspect-level sentiment analy- sis that ...
7
Co operative IDS Architectures for MANETs A Survey
... (Intrusion Detection System) which are working on wired networks, but for MANETs we do not find any single application that can be applied ...intrusion detection task performed by a single node ...
7
Prediction and detection models for acute kidney injury in hospitalized older adults
... study where we excluded laboratory value, medication and comorbidity variables one group at a time, and re- peated the same process of training and evaluation. Table 3 shows the ablation results for the logistic regres- ...
11
YNU DYX at SemEval 2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection of Hate
... 2019 Task 5 “Shared Task on Mul- tilingual Detection of ...this task, we present a stacked BiGRU mod- el based on a capsule network ...
5
Is there a real preferential detection of negative stimuli? A comment on Dijksterhuis and Aarts (2003)
... discrimination ability. Moreover, once we recognize this experimental task as a discrimination task, regardless of the value of d′, various possible explanations coexist. In this two- alternative forced ...
6
Compositional Sequence Labeling Models for Error Detection in Learner Writing
... error detection systems that could handle all types of errors in learner ...shared task (Dale and Kilgarriff, 2011) also evaluated grammatical error detection of a num- ber of different error types, ...
11
Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
... hedge detection and scope finding. For the first task, hedge detection, we formu- late it as a hedge labeling problem, while for the second task, we use a two-step la- beling strategy, one for ...
8
SemEval 2019 Task 4: Hyperpartisan News Detection
... Very promising results were achieved during the task, with accuracy values above 80% on a bal- anced test set—and even up to 90% using meta classification on all submissions. Like in many other NLP tasks, word ...
11
A Report on the 2018 VUA Metaphor Detection Shared Task
... automated detection of metaphor has become an increasingly popular topic, which manifests itself in both a variety of approaches and in an increasing variety of data to which the methods are ...
11
Parsing and MWE Detection: Fips at the PARSEME Shared Task
... single blocks in the parse tree built during analy- sis (Brun, 1998; Zhang and Kordoni, 2006). This method is not really adequate for processing col- locations. Unlike other expressions that are fixed or semi-fixed, ...
6
Chat Detection in an Intelligent Assistant: Combining Task oriented and Non task oriented Spoken Dialogue Systems
... domain-specific task- oriented spoken dialogue systems and open-domain non-task-oriented ...this task, we construct a new dataset consisting of 15, 160 utter- ances collected from the real log data ...
12
Supporting dynamic change detection: using the right tool for the task
... change detection, we seek to discriminate between two different sources of CB: changes missed because they were never attended and changes that were proc- essed to a certain extent but go unnoticed because of a ...
20