AIMC Topic: Recognition, Psychology

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Chinese text dual attention network for aspect-level sentiment classification.

PloS one
English text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and ev...

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

JAMA network open
IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a shortage of medical geneticists, necessitates innovative educational approaches.

Hierarchical Context-Based Emotion Recognition With Scene Graphs.

IEEE transactions on neural networks and learning systems
For a better intention inference, we often try to figure out the emotional states of other people in social communications. Many studies on affective computing have been carried out to infer emotions through perceiving human states, i.e., facial expr...

Assessing Verbal Eyewitness Confidence Statements Using Natural Language Processing.

Psychological science
After an eyewitness completes a lineup, officers are advised to ask witnesses how confident they are in their identification. Although researchers in the lab typically study eyewitness confidence numerically, confidence in the field is primarily gath...

A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data.

Behavioural brain research
Over the past few years, fatigue driving has emerged as one of the main causes of traffic accidents, necessitating the development of driver fatigue detection systems. However, many existing methods involves tedious manual parameter tunings, a proces...

Using deep neural networks to disentangle visual and semantic information in human perception and memory.

Nature human behaviour
Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they are intermixed in mental representations. Deep neu...

PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation.

IEEE transactions on neural networks and learning systems
Emotion recognition in conversation (ERC) is important for enhancing user experience in human-computer interaction. Unlike vanilla emotion recognition in individual utterances, ERC aims to classify constituent utterances in a dialog into correspondin...

IremulbNet: Rethinking the inverted residual architecture for image recognition.

Neural networks : the official journal of the International Neural Network Society
An increasing need of running Convolutional Neural Network (CNN) models on mobile devices encourages the studies on efficient and lightweight neural network model. In this paper, an Inverse Residual Multi-Branch Network named IremulbNet is proposed t...

Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals.

Artificial intelligence in medicine
Accurate finger gesture recognition with surface electromyography (sEMG) is essential and long-challenge in the muscle-computer interface, and many high-performance deep learning models have been developed to predict gestures. For these models, probl...

Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care Facilities.

Sensors (Basel, Switzerland)
In this study, we propose an augmentation method for machine learning based on relabeling data in caregiving and nursing staff indoor localization with Bluetooth Low Energy (BLE) technology. Indoor localization is used to monitor staff-to-patient ass...