E-LIB Suche - Ergebnisse für: Ando, Kenichiro

1

Is artificial intelligence capable of generating hospital d..:

Ando, Kenichiro ; Okumura, Takashi ; Komachi, Mamoru...
PLOS Digital Health. 1 (2022) 12 - p. e0000158 , 2022

Link: https://doi.org/10.1371/..

2

Exploring optimal granularity for extractive summarization ..:

Ando, Kenichiro ; Okumura, Takashi ; Komachi, Mamoru...
PLOS Digital Health. 1 (2022) 9 - p. e0000099 , 2022

Link: https://doi.org/10.1371/..

3

Is In-hospital Meta-information Useful for Abstractive Disc..:

, In: 2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI),

Ando, Kenichiro ; Komachi, Mamoru ; Okumura, Takashi.. - p. 143-148 , 2022

Link: https://doi.org/10.1109/..

4

Temperature–field phase diagram under electric field along ..:

Iwata, Makoto ; Ando, Kenichiro ; Maeda, Masaki.
Japanese Journal of Applied Physics. 54 (2015) 5 - p. 051501 , 2015

Link: https://doi.org/10.7567/..

5

In-situ observations of domain walls in the electric field ..:

Iwata, Makoto ; Ando, Kenichiro ; Maeda, Masaki.
Japanese Journal of Applied Physics. 54 (2015) 2 - p. 021502 , 2015

Link: https://doi.org/10.7567/..

6

Is In-hospital Meta-information Useful for Abstractive Disc..:

Ando, Kenichiro ; Komachi, Mamoru ; Okumura, Takashi..
http://arxiv.org/abs/2303.06002. , 2023

Link: http://arxiv.org/abs/230..

7

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimat..:

Ando, Kenichiro ; Sekine, Satoshi ; Komachi, Mamoru
http://arxiv.org/abs/2305.05928. , 2023

Link: http://arxiv.org/abs/230..

8

Exploring Optimal Granularity for Extractive Summarization ..:

Ando, Kenichiro ; Okumura, Takashi ; Komachi, Mamoru..
http://arxiv.org/abs/2209.10041. , 2022

Link: http://arxiv.org/abs/220..

9

Exploring optimal granularity for extractive summarization ..:

Kenichiro Ando ; Takashi Okumura ; Mamoru Komachi..
https://doi.org/10.1371/journal.pdig.0000099. , 2022

Link: https://doi.org/10.1371/..

10

Is artificial intelligence capable of generating hospital d..:

Kenichiro Ando ; Takashi Okumura ; Mamoru Komachi..
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931331/?tool=EBI. , 2022

Link: https://doaj.org/article..

11

Exploring optimal granularity for extractive summarization ..:

Kenichiro Ando ; Takashi Okumura ; Mamoru Komachi..
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931252/?tool=EBI. , 2022

Link: https://doaj.org/article..

12

Is artificial intelligence capable of generating hospital d..:

Kenichiro Ando ; Takashi Okumura ; Mamoru Komachi..
https://doi.org/10.1371/journal.pdig.0000158. , 2022

Link: https://doi.org/10.1371/..

13

Rate of unsourced and high subjectivity segments in institu..:

Kenichiro Ando (13803954) ; Takashi Okumura (525015) ; Mamoru Komachi (13803957)..
https://figshare.com/articles/dataset/Rate_of_unsourced_and_high_subjectivity_segments_in_institutions_/21712025. , 2022

Link: https://doi.org/10.1371/..

14

Results of automatic labeling using dummy record:

Kenichiro Ando (13803954) ; Takashi Okumura (525015) ; Mamoru Komachi (13803957)..
https://figshare.com/articles/dataset/Results_of_automatic_labeling_using_dummy_record_/21712013. , 2022

Link: https://doi.org/10.1371/..

15

Origin rate of segments in discharge summaries against the ..:

Kenichiro Ando (13803954) ; Takashi Okumura (525015) ; Mamoru Komachi (13803957)..
https://figshare.com/articles/figure/Origin_rate_of_segments_in_discharge_summaries_against_the_inpatient_records_/21711995. , 2022

Link: https://doi.org/10.1371/..