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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

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

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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