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Fine-Tuning Representation Models for Classification

Book Study_Hands-On Large Language Models Chapter 11.

publications

[P] 데이터 기반의 에너지 관리 서비스 아이디어 도출: 구미국가산업단지의 데이터를 활용한 사례연구

Published in 대한산업공학회 춘계공동학술대회 논문집, 2024

Keywords: Energy management, Service concept, Data-driven, National industrial complex

Recommended citation: T. Salakhov, 전민욱, 최재준, & 김민준*. 데이터 기반의 에너지 관리 서비스 아이디어 도출: 구미국가산업단지의 데이터를 활용한 사례연구. 대한산업공학회 춘계공동학술대회 논문집, 2024, 2557-2557.
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Designing a data-driven energy management service: A case study of South Korea’s national industrial complex

Published in IEEE Access, 2025

Keywords: Energy management, Service concept, Information design, Case study, Data-driven, National industrial complex

Recommended citation: Salakhov, T.^‡, Choi, J.^‡, & Kim, M*. (2025). "Designing a data-driven energy management service: A case study of South Korea’s national industrial complex. IEEE Access.
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[P] Optimal Data Selection from Sentiment-Rating Analysis for Improving Recommendation Systems

Published in 한국지능시스템학회 춘계학술대회 발표논문집, 2025

Keywords: Recommendation system, Sentiment-Rating analysis, Oprimal data selection, Deep Cooperative Neural Networks(DeepCoNN)

Recommended citation: 김상민, 최재준, & 추상현*. Optimal Data Selection from Sentiment-Rating Analysis for Improving Recommendation Systems. 한국지능시스템학회 춘계학술대회 발표논문집, 2025, 제35권 1호, pp. 223-224.

[P] Enhancing Recommender Systems through Sentiment-Aware Rating Recalibration

Published in 한국지능시스템학회 춘계학술대회 발표논문집, 2025

Keywords: Recommendation system, Sentiment-Rating recalibration & analysis, Deep Cooperative Neural Networks(DeepCoNN)

Recommended citation: 장지원, 최재준, & 추상현*. Enhancing Recommender Systems through Sentiment-Aware Rating Recalibration. 한국지능시스템학회 춘계학술대회 발표논문집, 2025, 제35권 1호, pp. 225-226.

[P] Conditional U-Net Architecture with Feature-wise Linear Modulation for Wafer Defect Segmentation and Classification

Published in 한국데이터마이닝학회 하계학술대회, 2025

Keywords: Deep Learning, Mixed-type Defects Detection, Semantic Segmentation, U-Net, Feature-wise Linear Modulation (FiLM)

Recommended citation: 최재준, 김영훈*. Conditional U-Net Architecture with Feature-wise Linear Modulation for Wafer Defect Segmentation and Classification. 한국데이터마이닝학회 하계학술대회 논문집, 2025.

[PT] 웨이퍼 빈 맵 분류를 위한 Feature-Wise Linear Modulation 기반 조건부 분할 모델

Published in 대한산업공학회 추계학술대회, 2025

Keywords: Deep Learning, Mixed-type Defects Detection & Semantic Segmentation, Disentanglement of Mixed Defects, Feature-wise Linear Modulation (FiLM)

Recommended citation: 최재준, 김영훈*. 웨이퍼 빈 맵 분류를 위한 Feature-Wise Linear Modulation 기반 조건부 분할 모델. 대한산업공학회 추계학술대회 논문집, 2025, -.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015