Multi-Task Deep Learning Model with an Attention Mechanism for Ship Accident Sentence Prediction by Ho-Min Park, Jae-Hoon Kim

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Stepwise Multi-Task Learning Model for Holder Extraction in Aspect-Based Sentiment Analysis by Ho-Min Park, Jae-Hoon Kim

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Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion by Jeong-Kyu Kim, Hyun-Sung Tae, Min-Gyeong Seo, Ho-Min Park

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Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins by Ho-Min Park, Yunseol Park, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim

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In silico optimization of RNA–protein interactions for CRISPR-Cas13-based antimicrobials by Ho-min Park, Yunseol Park, Urta Berani, Eunkyu Bang, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim

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CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins by Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim

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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams by Ho-min Park, Sanghyeon Park, Maria Krishna de Guzman, Ji Yeon Baek, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve

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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams. by Ho-Min Park, Sanghyeon Park, Maria Krishna de Guzman, Ji Yeon Baek, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve

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