Search Results - "Komaba, Atsushi" :: K.UTB vyhledávací portál

Loading…

Extension of the one-sample Kolmogorov-Smirnov test

by Komaba, Atsushi, Johno, Hisashi, Nakamoto, Kazunori
Year of Publication 20.08.2024

Get full text

Journal Article

Loading…

A novel statistical approach for two-sample testing based on the overlap coefficient

by Komaba, Atsushi, Johno, Hisashi, Nakamoto, Kazunori
Year of Publication 07.06.2022

Get full text

Journal Article

Loading…

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging

by Tozuka, Ryota, Johno, Hisashi, Amakawa, Akitomo, Sato, Junichi, Muto, Mizuki, Seki, Shoichiro, Komaba, Atsushi, Onishi, Hiroshi
Year of Publication 08.10.2024

Get full text

Journal Article

Loading…

Extension of the one-sample Kolmogorov-Smirnov test

by Komaba, Atsushi, Johno, Hisashi, Nakamoto, Kazunori
Published in arXiv.org (20.08.2024)

Get full text

Paper

Loading…

A novel statistical approach for two-sample testing based on the overlap coefficient

by Komaba, Atsushi, Johno, Hisashi, Nakamoto, Kazunori
Published in arXiv.org (28.06.2023)

Get full text

Paper

Loading…

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging

by Tozuka, Ryota, Johno, Hisashi, Amakawa, Akitomo, Sato, Junichi, Muto, Mizuki, Seki, Shoichiro, Komaba, Atsushi, Onishi, Hiroshi
Published in arXiv.org (08.10.2024)

Get full text

Paper

Extension of the one-sample Kolmogorov-Smirnov test

A novel statistical approach for two-sample testing based on the overlap coefficient

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging

Extension of the one-sample Kolmogorov-Smirnov test

A novel statistical approach for two-sample testing based on the overlap coefficient

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging

Refine Results

Format

Subject Area

Topic

Language

Year of Publication

Database