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Akademický článek

Grad-CAM-Based Feature Selection and Dementia Classification Algorithm Using Voice Data

Autor: Hansol Ko, Bohyun Wang, Joon S. Lim

Publikováno v: Tehnički Vjesnik, Vol 31, Iss 6, Pp 2036-2044 (2024)

This study presents a unique methodology for dementia classification that harnesses voice data and integrates transfer learning, feature selection, and attention-based visualization. We examined two deep learning input techniques: one consolidating t

Externí odkaz: https://doaj.org/article/00e2ed6492f242639e2c065c99fc0505

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Akademický článek

Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study

Autor: Jae Hyun Yoo, ChangSu Kang, Joon Shik Lim, Bohyun Wang, Chi-Hyun Choi, Hyunchan Hwang, Doug Hyun Han, Hyungjun Kim, Hosang Cheon, Jae-Won Kim

Publikováno v: Frontiers in Psychiatry, Vol 15 (2024)

IntroductionAttention-deficit/hyperactivity disorder (ADHD) affects a significant proportion of the pediatric population, making early detection crucial for effective intervention. Eye movements are controlled by brain regions associated with neurops

Externí odkaz: https://doaj.org/article/ffee863262694f448700ebf50f7261fa

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Akademický článek

A Novel Methodology for Forecasting Business Cycles Using ARIMA and Neural Network with Weighted Fuzzy Membership Functions

Autor: Soo H. Chai, Joon S. Lim, Heejin Yoon, Bohyun Wang

Publikováno v: Axioms, Vol 13, Iss 1, p 56 (2024)

Economic forecasting is crucial since it benefits many different parties, such as governments, businesses, investors, and the general public. This paper presents a novel methodology for forecasting business cycles using an autoregressive integrated m

Externí odkaz: https://doaj.org/article/f88bfcec8f794b31b4de37a9274254ec

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Akademický článek

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Autor: Jae Sung Kim, Bohyun Wang, Meelim Kim, Jung Lee, Hyungjun Kim, Danyeul Roh, Kyung Hwa Lee, Soon-Beom Hong, Joon Shik Lim, Jae-Won Kim, Neal Ryan

Publikováno v: JMIR Formative Research, Vol 7, p e45991 (2023)

BackgroundLack of quantifiable biomarkers is a major obstacle in diagnosing and treating depression. In adolescents, increasing suicidality during antidepressant treatment further complicates the problem. ObjectiveWe sought to evaluate digital bioma

Externí odkaz: https://doaj.org/article/76c0968f056e452383a9206f9420c2ac

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Akademický článek

A Study on the Features Selection Algorithm Based on the Measurement Method of the Distance Between Normal Distributions for Classification in Machine Learning

Autor: Byungju Shin, Minwoo Kim, Bohyun Wang, Joon S. Lim

Publikováno v: Tehnički Vjesnik, Vol 29, Iss 3, Pp 852-860 (2022)

Feature selection is an important technique that simplifies machine learning models to easily understand, shorten learning time, and reduce curve over-fitting or under-fitting. This paper presents a shape selection algorithm based on a method of inve

Externí odkaz: https://doaj.org/article/125b5fc448e04e348b04e07bf3d49999

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Akademický článek

Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents

Autor: Minwoo Kim, Jinhee Bae, Bohyun Wang, Hansol Ko, Joon S. Lim

Publikováno v: Sensors, Vol 23, Iss 1, p 98 (2022)

In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one

Externí odkaz: https://doaj.org/article/4883930de37a4f95a01cf1aa3bde20f1

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Akademický článek

Zoom-In Neural Network Deep-Learning Model for Alzheimer’s Disease Assessments

Autor: Bohyun Wang, Joon S. Lim

Publikováno v: Sensors, Vol 22, Iss 22, p 8887 (2022)

Deep neural networks have been successfully applied to generate predictive patterns from medical and diagnostic data. This paper presents an approach for assessing persons with Alzheimer’s disease (AD) mild cognitive impairment (MCI), compared with

Externí odkaz: https://doaj.org/article/d7dc76f4590848738536c452557e542e

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Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study (Preprint)

Autor: Jae Sung Kim, Bohyun Wang, Meelim Kim, Jung Lee, Hyungjun Kim, Danyeul Roh, Kyung Hwa Lee, Soon-Beom Hong, Joon Shik Lim, Jae-Won Kim, Neal Ryan

BACKGROUND Lack of quantifiable biomarkers is a major obstacle in diagnosing and treating depression. In adolescents, increasing suicidality during antidepressant treatment further complicates the problem. OBJECTIVE We sought to evaluate digital biom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1c834f8c454639545729bb7c6d9ce8e
https://doi.org/10.2196/preprints.45991

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Feature selection by a distance measure method of subnormal and non-convex fuzzy sets

Autor: Bohyun Wang, Jaehoon Lim, Letao Qu

Publikováno v: Journal of Intelligent & Fuzzy Systems. 41:5199-5205

Distance measures of fuzzy sets have been developed for feature selection and finding redundant features in the fields of decision-making, prediction, and classification problems. Terms commonly used in the definition of fuzzy sets are normal and con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d77f7d5a216a68f5f4a5cc76411a55c
https://doi.org/10.3233/jifs-219005

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