AIMC Topic: Behavior

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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus.

Scientific data Aug 7, 2025
The Abstraction and Reasoning Corpus (ARC) is a visual program synthesis benchmark designed to test out-of-distribution generalization in machines. Comparing AI algorithms to human performance is essential to measure progress on these problems. In th...
Algorithms Problem Solving Behavior Humans Artificial Intelligence
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AI assessment changes human behavior.

Proceedings of the National Academy of Sciences of the United States of America Jun 20, 2025
AI is increasingly replacing human decision-makers across domains. AI-based tools have become particularly common in assessment decisions, such as when recruiting employees or admitting students. Calls for transparency and new legislation require org...
Female Behavior Male Humans Decision Making Artificial Intelligence
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Behavioural and EEG correlates of forward and backward priming-An exploratory study.

PloS one May 8, 2025
During affective priming, perception of an emotional "prime stimulus" influences the reaction time to the subsequent emotional "target stimulus". If prime and target have the same valence (congruent trials), reactions to the target are faster than if...
Emotions Electroencephalography Evoked Potentials Young Adult Reaction Time Behavior Adult Humans Male Female
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Positive relationship between education level and risk perception and behavioral response: A machine learning approach.

PloS one Apr 3, 2025
This paper aims to examine the influence mechanism of education level as a key situational factor in the relationship between risk perception and behavioral response, encompassing both behavioral intention and preparatory behavior. Utilizing non-para...
Female Educational Status Young Adult Machine Learning Algorithms Perception Behavior Risk-Taking Adult Male Humans
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BIRDNN: Behavior-Imitation Based Repair for Deep Neural Networks.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
The increasing utilization of deep neural networks (DNNs) in safety-critical systems has raised concerns about their potential to exhibit undesirable behaviors. Consequently, DNN repair/patching arises in response to the times, and it aims to elimina...
Animals Deep Learning Behavior Neurons Humans Neural Networks, Computer Algorithms
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Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features.

Sensors (Basel, Switzerland) Nov 28, 2024
Aiming at the problem that the existing human skeleton behavior recognition methods are insensitive to human local movements and show inaccurate recognition in distinguishing similar behaviors, a multi-scale spatio-temporal graph convolution method i...
Pattern Recognition, Automated Behavior Neural Networks, Computer Humans Algorithms
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Research into the Applications of a Multi-Scale Feature Fusion Model in the Recognition of Abnormal Human Behavior.

Sensors (Basel, Switzerland) Aug 5, 2024
Due to the increasing severity of aging populations in modern society, the accurate and timely identification of, and responses to, sudden abnormal behaviors of the elderly have become an urgent and important issue. In the current research on compute...
Pattern Recognition, Automated Neural Networks, Computer Behavior Algorithms Humans Image Processing, Computer-Assisted
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Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes.

Communications biology Jun 26, 2024
In this study, we aimed to compare imaging-based features of brain function, measured by resting-state fMRI (rsfMRI), with individual characteristics such as age, gender, and total intracranial volume to predict behavioral measures. We developed a ma...
Male Female Humans Behavior Middle Aged Machine Learning Aged Phenotype Adult Brain Mapping Brain Magnetic Resonance Imaging Rest
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Abnormal Behavior Recognition Based on 3D Dense Connections.

International journal of neural systems Jun 25, 2024
Abnormal behavior recognition is an important technology used to detect and identify activities or events that deviate from normal behavior patterns. It has wide applications in various fields such as network security, financial fraud detection, and ...
Crime Pattern Recognition, Automated Algorithms Humans Neural Networks, Computer Behavior Deep Learning
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Computational reconstruction of mental representations using human behavior.

Nature communications May 17, 2024
Revealing how the mind represents information is a longstanding goal of cognitive science. However, there is currently no framework for reconstructing the broad range of mental representations that humans possess. Here, we ask participants to indicat...
Male Behavior Female Young Adult Cognition Photic Stimulation Humans Visual Perception Neural Networks, Computer Adult Semantics
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