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Pattern Recognition in Computing Education: A Systematic Review

Anais do XXXIII Simpósio Brasileiro de Informática na Educação (SBIE 2022), 2022
This paper presents a systematic literature review to investigate how pattern recognition has been approached in computing education. Pattern Recognition has long been an important concept among various areas, from cognitive psychology and neuroscience ...
Braz Araujo da Silva Junior, Júlia Varanda da Silva, S. Cavalheiro, Luciana Foss   +3 more
semanticscholar   +1 more source

Exploring Emotion Recognition Patterns Among Iranian People Using CANTAB as an Approved Neuro-Psychological Assessment [PDF]

Basic and Clinical Neuroscience Journal, 2023
Introduction: Emotion recognition is the main component of social cognition and has various patterns in different cultures and nationalities. The present study aimed to investigate emotion recognition patterns among Iranians using the Cambridge neuro-psychological test automated battery (CANTAB) as a valid neuropsychological test.
Lohrasbi, Soroush, Moradi, Ali Reza, Sadeghi, Meysam   +2 more
openaire   +2 more sources

A New Algorithmic Trading Approach Based on Ensemble Learning and Candlestick Pattern Recognition in Financial Assets

Turkish journal of science and technology, 2022
Financial assets considered as time series are chaotic in nature. The main goal of investors is to take a position at the right time and in the right direction by making predictions about the future on this chaotic series.
Üzeyir Aycel, Yunus Santur
semanticscholar   +1 more source

A large dataset of semantic ratings and its computational extension

Scientific Data, 2023
Evidence from psychology and cognitive neuroscience indicates that the human brain’s semantic system contains several specific subsystems, each representing a particular dimension of semantic information.
Shaonan Wang, Yunhao Zhang, Weiting Shi, Guangyao Zhang, Jiajun Zhang, Nan Lin, Chengqing Zong   +6 more
doaj   +1 more source

Automated handwriting analysis based on pattern recognition: a survey

Indonesian Journal of Electrical Engineering and Computer Science, 2021
Handwriting analysis has wide scopes include recruitment, medical diagnosis, forensic, psychology, and human-computer interaction. Computerized handwriting analysis makes it easy to recognize human personality and can help graphologists to understand and
Samsuryadi Samsuryadi, Rudi Kurniawan, F. Mohamad   +2 more
semanticscholar   +1 more source

An fMRI Dataset for Concept Representation with Semantic Feature Annotations

Scientific Data, 2022
The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets
Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, Chengqing Zong   +6 more
doaj   +1 more source

Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems

Acta Informatica Pragensia, 2021
Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students' mental health problems.
Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, Morteza Naserbakht, Mehdi Hosseinzadeh   +4 more
doaj   +1 more source

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle [PDF]

Computer Vision and Pattern Recognition, 2020
We present EmotiCon, a learning-based algorithm for context-aware perceived human emotion recognition from videos and images. Motivated by Frege's Context Principle from psychology, our approach combines three interpretations of context for emotion ...
Trisha Mittal, P. Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha   +5 more
semanticscholar   +1 more source

A Fechner multiscale local descriptor for face recognition

Journal of Supercomputing, 2023
Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature extraction and face recognition. Fechner's law is a well-known law in psychology, which states that a human perception is proportional to the logarithm of the ...
Jinxiang Feng, Jie Xu, Yizhi Deng, Jun Gao   +3 more
semanticscholar   +1 more source

Memory in autism spectrum disorder: a meta-analysis of experimental studies [PDF]

, 2020
To address inconsistencies in the literature on memory in Autism Spectrum Disorder (ASD), we report the first ever meta-analysis of short-term (STM) and episodic long-term (LTM) memory in ASD, evaluating the effects of type of material, type of retrieval
Baylete, J-M., Bowler, D. M., Briant, A. R., Desaunay, P., Eustache, F., Gerardin, P., Guénolé, F., Parienti, J-J., Ring, M.   +8 more
core   +1 more source