AIMC Topic: Recognition, Psychology

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Neural networks need real-world behavior.

The Behavioral and brain sciences Dec 6, 2023
Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that "neuroscience needs behavior." As a promising path f...
Humans Neural Networks, Computer Neurosciences Vision, Ocular Recognition, Psychology Visual Perception
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Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2023
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...
Recognition, Psychology Time Factors Bayes Theorem Algorithms Humans Neural Networks, Computer
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An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.

Brain topography Nov 23, 2023
Nowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memo...
Mental Recall Recognition, Psychology Benchmarking Humans Deep Learning Electroencephalography
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Unavoidable social contagion of false memory from robots to humans.

The American psychologist Nov 20, 2023
Many of us interact with voice- or text-based conversational agents daily, but these conversational agents may unintentionally retrieve misinformation from human knowledge databases, confabulate responses on their own, or purposefully spread disinfor...
Robotics Memory Humans Communication Social Interaction Recognition, Psychology Mental Recall
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Development of a deep learning based image processing tool for enhanced organoid analysis.

Scientific reports Nov 13, 2023
Contrary to 2D cells, 3D organoid structures are composed of diverse cell types and exhibit morphologies of various sizes. Although researchers frequently monitor morphological changes, analyzing every structure with the naked eye is difficult. Given...
Humans Deep Learning Image Processing, Computer-Assisted Recognition, Psychology Research Personnel Organoids
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Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Oct 13, 2023
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods....
Humans Machine Learning Pregnancy Human Activities Recognition, Psychology Female Unsupervised Machine Learning Labor, Obstetric
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Multi-level perception fusion dehazing network.

PloS one Oct 2, 2023
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction...
Empirical Research Research Design Artificial Intelligence Recognition, Psychology Perception
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Real-Time Sensor-Embedded Neural Network for Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 28, 2023
This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network. The sensor incorporates a low-cost microcontroller and an inertial measurement unit (IMU), which is...
Recognition, Psychology Neural Networks, Computer Human Activities Movement Humans
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Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2023
It is well-understood that the performance of Deep Convolutional Neural Networks (DCNNs) in image recognition tasks is influenced not only by shape but also by texture information. Despite this, understanding the internal representations of DCNNs rem...
Recognition, Psychology Neural Networks, Computer
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Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data.

Sensors (Basel, Switzerland) Aug 29, 2023
The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals' daily activities. This article ai...
Activities of Daily Living Movement Benchmarking Recognition, Psychology Humans Deep Learning
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