Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2023-09-12 15:55 |
Hokkaido |
|
Analysis of Conditional Image Generation Methods Using Color Palettes in Animal Personification Task Jianglin Xu, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-19 |
With the advent of large-scale pre-trained open-source diffusion models, image generation is now easily accessible to no... [more] |
AI2023-19 pp.101-108 |
AI |
2023-09-12 15:55 |
Hokkaido |
|
Estimation of unmasked face images based on voice and 3DMM Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-32 |
Facemasks have become common due to the COVID-19 pandemic. They have begun to affect security and identification systems... [more] |
AI2023-32 pp.187-193 |
AI |
2023-09-12 16:50 |
Hokkaido |
|
Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-34 |
Icons are indispensable elements for websites and smartphone applications. For website developers, the creation of icons... [more] |
AI2023-34 pp.201-206 |
AI |
2022-07-04 10:00 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Syuusuke Ishihata, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-1 |
In recent years, research has been conducted to apply StyleGAN to the task of editing images according to the content of... [more] |
AI2022-1 pp.1-6 |
AI |
2022-07-04 16:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
So Honda, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-15 |
(To be available after the conference date) [more] |
AI2022-15 pp.77-81 |
AI |
2022-02-28 10:00 |
Miyazaki |
Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-12 |
(To be available after the conference date) [more] |
AI2021-12 pp.1-6 |
AI |
2022-02-28 14:00 |
Miyazaki |
Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-19 |
(To be available after the conference date) [more] |
AI2021-19 pp.41-46 |
AI |
2022-02-28 16:20 |
Miyazaki |
Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-25 |
(To be available after the conference date) [more] |
AI2021-25 pp.77-82 |
NLC |
2021-02-18 17:20 |
Online |
Online |
Proposal of a News Article Comments Generation Model for Early Automatic Detection of Fake News Yuta Yanagi, Ryohei Orihara, Yasuyuki Tahara, Yuichi Sei, Akihiko Ohsuga (UEC) NLC2020-30 |
Recently, fake news makes wrong rumors on social networks. Automatic detection of fake news with social contexts(e.g. li... [more] |
NLC2020-30 pp.43-48 |
AI |
2021-02-12 16:50 |
Online |
Online |
Takashi Abe, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2020-37 |
(To be available after the conference date) [more] |
AI2020-37 pp.79-84 |
AI |
2019-07-22 11:10 |
Hokkaido |
|
Review analysis using interpretation method of machine learning Takayuki Onongawa, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga (UEC) AI2019-4 |
[more] |
AI2019-4 pp.15-19 |
SP |
2018-08-27 11:35 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
An Experimental Study on Transforming the Emotion in Speech using GAN Kenji Yasuda, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) SP2018-26 |
In domain transfer task deep learning has made it possible to generate more natural and highly accurate output. Especial... [more] |
SP2018-26 pp.19-22 |
AI |
2018-07-02 15:50 |
Hokkaido |
|
Transforming the Emotion in Speech using CycleGAN Kenji Yasuda, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-11 |
In domain transfer task deep learning makes it possible to generate more natural and highly accurate output. Especially ... [more] |
AI2018-11 pp.61-66 |
SDM |
2017-10-26 09:30 |
Miyagi |
Niche, Tohoku Univ. |
[Invited Talk]
Utilization of Big Data for Innovation in Semiconductor Memory Manufacturing
-- Comprehensive Big-Data-Based Monitoring System for Yield Analysis in Semiconductor Manufacturing -- Hiroshi Akahori (Toshiba Memory), Kouta Nakata, Ryohei Orihara, Yoshiaki Mizuoka, Kentaro Takagi (Toshiba), Kenichi Kadota, Takaharu Nishimura, Yukako Tanaka, Hidetaka Eguchi (Toshiba Memory) SDM2017-55 |
In this work, we focus on yield analysis task where engineers identify the cause of failure from wafer failure map patte... [more] |
SDM2017-55 pp.31-33 |
AI |
2015-06-18 11:05 |
Tokyo |
|
Decision Making Strategy Based on Time Series Data of Voting Behavior: Preliminary Report Shogo Higuchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2015-2 |
In gambling such as horse racing, we are sometimes able to peep specific voting behavior by a punter with the advantageo... [more] |
AI2015-2 pp.7-11 |
KBSE |
2008-03-10 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. B3F-2 |
Reconstructing Attribute Dependencies and its Interpretation in Classification Problems
-- Experimental Results on Modeling Probabilistic Dependencies with Bayesian Network Classifiers -- Ken Ueno, Youichi Kitahara, Paul Topon Kumar, Ryohei Orihara (Toshiba Co.) KBSE2007-59 |
Recently, many researchers have been focusing on Bayesian Network Classifiers (BNC) as classifiers which can consider de... [more] |
KBSE2007-59 pp.31-36 |
MSS |
2008-01-28 16:25 |
Tokushima |
The University of Tokushima |
An examination of human trajectory as descrete event system Ichiro Toyoshima, Kanako Hattori, Toyokazu Itakura, Ryohei Orihara (Toshiba) CST2007-44 |
As demand for security increases, our society needs an automatic
security sysytem.
Video cameras are efficient sensors... [more] |
CST2007-44 pp.49-54 |
DE |
2007-07-03 15:25 |
Miyagi |
Akiu hot springs (Sendai) |
Parallel Frequent Pattern Mining Method from Super High-Dimensional Data by Vertical Partitioning Kouichirou Mori, Ryohei Orihara (Toshiba Corp.) DE2007-91 |
In general, traditional parallel frequent pattern mining methods were applied to data that contains a large number of re... [more] |
DE2007-91 pp.417-422 |
MSS |
2007-01-26 14:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
The applications of Data Mining to human behavior analysis,on the point of view of arranging supervised data Ichiro Toyoshima, Kanako Hattori, Takufumi Yoshida, Toyokazu Itakura, Ryohei Orihara (TOSHIBA) |
In recent years,various sensing technologies(e.g. RFID,Image Processing)allow us to get the data of human behavior in re... [more] |
CST2006-42 pp.25-30 |
PRMU, NLC, TL |
2006-10-20 16:45 |
Tokyo |
|
Discovering Unfavorable Operations by Tracking Worker's Behavior Toyokazu Itakura, Kanako Hattori, Ryohei Orihara (Toshiba) |
[more] |
PRMU2006-116 pp.71-76 |