Online edition: ISSN 2432-6380
[TOP] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [Japanese] / [English]
DE2018-19
Proposal of Ambiguity Resolution Method of Sizzle Words Seen in Recipe Titles
Mio Takada, tetsuji satoh (University of Tsukuba)
pp. 1 - 6
DE2018-20
Cooking recipe recommendation method for decreasing discard ingredients
Takeru Takahashi, Tetsuji Satoh (University of Tsukuba)
pp. 7 - 12
DE2018-21
(See Japanese page.)
p. 13
DE2018-22
(See Japanese page.)
p. 15
DE2018-23
Bibliography Extraction from Reference Strings by Bi-directional LSTM-CNN-CRF
Daiki Namikoshi, Manabu Ohta (Okayama Univ.), Atsuhiro Takasu, Jun Adachi (NII)
pp. 17 - 22
DE2018-24
Analyzing Relevant Factors to Street Crimes Using Open Data
-- Case Study with Weather Data --
Takuhiro Kagawa, Sachio Saiki, Masahide Nakamura (Kobe Univ.)
pp. 23 - 28
DE2018-25
An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition
Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.)
pp. 29 - 34
DE2018-26
Personalized Manzai-scenario Generation based on place name
Satoshi Aoki, Tomohiro Umetani, Tatsuya Kitamura, Akiyo Nadamoto (Konan Univ.)
pp. 35 - 40
DE2018-27
A Study on Detecting Anonymized Personal Identifiers including Multiple Individuals in Japanese Health Insurance Claims Data
Jumpei Sato, Hiroyuki Yamada, Kazuo Goda, Kitsuregawa Masaru (Tokyo Univ.), Naohiro Mitsutake (IHEP)
pp. 55 - 60
DE2018-28
Design and Preliminary Evaluation of Interactive Anonymization of Large Scale Data using Out-of-order Database Engine
Norifumi Nishikawa, Yuuya Isoda, Hideomi Idei, Kazuhiko Mogi, Masayuki Yoshino, Akira Shimizu (Hitachi), Yuto Hayamizu, Kazuo Goda (Tokyo Univ.), Masaru Kitsuregawa (Tokyo Univ./NII)
pp. 61 - 64
DE2018-29
Linear processing type optimum future prediction of signals applying Kida's optimum signal-approximation to multi-dimensional signals that are made by arranging known region restriction data in a row
Takuro Kida (Tokyo Inst. Tech.), Yuichi Kida (OHU Univ.)
pp. 65 - 70
DE2018-30
A Preliminary Study Towards Autotuning of Performance Models for Magnetic Disk Drives
Yutaro Bessho, Kazuo Goda, Yuto Hayamizu, Masaru Kitsuregawa (The Univ. of Tokyo)
pp. 71 - 76
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.