박호건 프로필 사진

박호건

PARK, HOGUN

소프트웨어융합대학

소프트웨어학과

연구분야

  • Machine Learning, Explainable AI(XAI), Knowledge Discovery, Relational learning, Natural Language Processing(NLP), Graph Mining
  • Machine Learning, Explainable AI(XAI), Knowledge Discovery, Relational learning, Natural Language Processing(NLP), Graph Mining

자료 필터

자료유형

발행연도

2023 ~ 2026
2023 2026

키워드

언어

전체 35건 중 1번부터 10번까지의 결과를 표시합니다.

2026
Article

A kinematic-guided dual-branch framework for Parkinson’s disease assessment in sit-to-stand tasks

  • 2026-07-15
  • Engineering Applications of Artificial Intelligence
  • Elsevier Ltd
Article

Uncertainty-Enhanced Spatiotemporal Framework for Sit-to-Stand Temporal Segmentation in Parkinson's Disease

  • 2026-07
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Institute of Electrical and Electronics Engineers Inc.
Article

Harnessing spatial dependency for domain generalization in multivariate time-series sensor data

  • 2026-06-25
  • Expert Systems with Applications
  • PERGAMON-ELSEVIER SCIENCE LTD
Article

Conjunctive query embedding-based few-shot item recommendation

  • 2026-04
  • Neural Networks
  • Elsevier Ltd
Article

Federated recommender system with data valuation for E-commerce platform

  • Park, Jongwon
  • Kang, Minku
  • Sim, Wooseok
  • Lee, Soyoung
  • Park, Hogun
  • 2026-03
  • Expert Systems with Applications
  • PERGAMON-ELSEVIER SCIENCE LTD
2025
Article

AI-Integrated Optoelectronic Platform for Low-Latency Classification of Toxic Industrial Chemicals

  • 2025-09
  • Small
  • WILEY-V C H VERLAG GMBH
Article

MELA: Multi-Event Localization Answering Framework for Video Question Answering

  • 2025-05
  • Proceedings of the ACM Symposium on Applied Computing
  • Association for Computing Machinery
Article

Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition

  • 2025-04-28
  • WWW 2025 - Proceedings of the ACM Web Conference
  • Association for Computing Machinery, Inc
Article

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

  • 2025-04
  • THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 5
  • ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE
Article

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

  • 2025-04
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Association for the Advancement of Artificial Intelligence
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