Jae Hee

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Articles

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?

Sep 20, 2024 | arxiv.org | Jae Hee
Ultrasonographic Measurement of Anterior Fontanelle Size in Infants with Deformational Plagiocephaly

Aug 24, 2024 | mdpi.com | Jae Lee |Gi-Young Park |Dong Rak Kwon |Jae Hee

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Benchmarking short and long read polishing tools for nanopore assemblies: achieving near-perfect genomes for outbreak isolates - BMC Genomics

Jul 7, 2024 | bmcgenomics.biomedcentral.com | Jae Hee

While long-read sequencing platforms generated substantially fewer reads compared to the MiSeq (see Supplementary File 1), they achieved much higher coverage of the Salmonella Newport (lineage III) genomes due to their longer read lengths. The median coverage depths were 372X, 223X, and 82X for the HiFi, GridIon, and MiSeq reads, respectively. Read lengths also differed substantially, with HiFi reads averaging 13 kbp, GridIon reads 2 kbp, and MiSeq reads a much shorter 251 bp.
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning

Jun 14, 2024 | arxiv.org | Jae Hee
[2401.00104] Causal State Distillation for Explainable Reinforcement Learning

Dec 30, 2023 | arxiv.org | Jae Hee

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks

Oct 18, 2023 | arxiv.org | Jae Hee

arXiv:2310.11884 (cs) [Submitted on 18 Oct 2023 (v1), last revised 3 May 2024 (this version, v2)] View PDF Comments: Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) Cite as: arXiv:2310.11884 [cs.AI] (or arXiv:2310.11884v2 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2310.11884 Submission history From: Jae Hee Lee [ view email] [v1] Wed,...
Frontiers | Development of a classification model for Cynanchum wilfordii and Cynanchum auriculatum using Convolutional Neural Network and Local Interpretable Model-agnostic Explanation (LIME) technology

Feb 20, 2023 | frontiersin.org | Kyung Hee |Jae Hee

Dae-Hyun Jung1*, Ho-Youn Kim2, Jae Hee Won3 and Soohyun Park2 1Department of Smart Farm Science, Kyung Hee University, Republic of Korea 2Korea Institute of Science and Technology (KIST), Republic of Korea 3National Development Institute of Korean Medicine (NIKOM), Republic of Korea The final, formatted version of the article will be published soon.
Correction to: Adaptive Electrospinning System Based on Reinforcement Learning for Uniform-Thickness Nanofiber Air Filters

Feb 4, 2023 | paperity.org | Jin Yeong |Hyun Il |Jae Hee |Seok Hyeon

Advanced Fiber Materials, Jan 2023 This is a preview of a remote PDF: https://link.springer.com/content/pdf/10.1007/s42765-023-00259-7.pdf Hwang, Seok Hyeon, Song, Jin Yeong, Ryu, Hyun Il, Oh, Jae Hee, Lee, Seungwook, Lee, Donggeun, Park, Dong Yong, Park, Sang Min. , Advanced Fiber Materials, 2023, pp. 1, DOI: 10.1007/s42765-023-00259-7
[2302.00270] Internally Rewarded Reinforcement Learning

Feb 1, 2023 | arxiv.org | Jae Hee

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

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Jae Hee

Articles

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?

Ultrasonographic Measurement of Anterior Fontanelle Size in Infants with Deformational Plagiocephaly

Benchmarking short and long read polishing tools for nanopore assemblies: achieving near-perfect genomes for outbreak isolates - BMC Genomics

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning

[2401.00104] Causal State Distillation for Explainable Reinforcement Learning

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks

Frontiers | Development of a classification model for Cynanchum wilfordii and Cynanchum auriculatum using Convolutional Neural Network and Local Interpretable Model-agnostic Explanation (LIME) technology

Correction to: Adaptive Electrospinning System Based on Reinforcement Learning for Uniform-Thickness Nanofiber Air Filters

[2302.00270] Internally Rewarded Reinforcement Learning

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