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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-19
15:30
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Prognosis prediction for colorectal cancer from digitized pathological whole slide image using multiple instance learning
Kazuki Omori, Kenichi Morooka (Okayama Univ.), Ryota Nakanishi, Shoko Miyauchi, Eiji Oki, Tomoharu Yoshizumi (Kyushu Univ.)
(To be available after the conference date) [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
17:00
Online online A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] MMS2022-34 ME2022-59 AIT2022-34
pp.377-381
BCT, IEICE-SIS 2021-10-08
10:00
Online online [Tutorial Lecture] The Past and The Future of Explainable AI Techniques
Yoshitaka Kameya (Meijo Univ.)
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more]
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
14:50
Online Online A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images -- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] MMS2021-9 ME2021-9 AIT2021-9
pp.43-46
3DMT, IEICE-SIS, IPSJ-AVM [detail] 2020-06-03
15:10
Online G Square (Hakodate Community Plaza) 3D Animation of a Humanoid Model using EMG Sensors
Tsutomu Horikoshi, Yoshie Nogami (SIT)
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] 3DIT2020-11
pp.25-29
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-28
10:50
Online Online [Special Talk] High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines -- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.)
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] IST2020-30 ME2020-81
p.13
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-28
15:40
Online Online People counting device using real-time face detection by AI camera
Koki Takebe, Junichi Akita (Kanazawa Univ)
Recent progress of semiconductor technology has been enabling small and inexpensive devices to execute the neural networ... [more] IST2020-31 ME2020-82
pp.37-40
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
11:20
Tokyo Tokyo University of Technology
(Cancelled)
Approximation of Log-Aesthetic Curves using ODE-Net
Seiya Sakurai, Norimasa Yoshida (Nihon Univ.)
In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A me... [more] AIT2020-89
pp.135-136
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
15:10
Hokkaido Hokkaido Univ.
(Cancelled)
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more] MMS2020-17 HI2020-17 ME2020-45 AIT2020-17
pp.85-89
BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA 2020-01-23
16:20
Kagoshima   [Special Talk] Intelligent Robot & AI Technology for Pioneering Our Future
Mutsumi Watanabe (Kagoshima Univ.)
The lecturer introduces the history of artificial intelligence (AI) and intelligent robots which the lecturer have devel... [more] BCT2020-9
pp.29-36
SIP, ME 2019-11-14
16:00
Kumamoto Sojo University, Main Campus A study on appropriate walking pace in mountaineering using wearable sensors
Satoshi Shimada (Nihon Univ.)
For beginners to learn about the practical knowledge of mountain climbing, teaching materials explained with evidence ar... [more] ME2019-123
pp.33-36
IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] 2019-09-20
10:30
Niigata Tokimeito, Niigata University [Invited Talk] Analysis of learning logs in lectures and self-studies
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.)
In his report, we discuss the analysis methods for the followings
learning logs (non-verbal behaviors, noting behavior,... [more]

AIT, IIEEJ, AS, CG-ARTS 2019-03-12
11:15
Tokyo Waseda Univ. Application of image recognition technology for movie scene search
Yuya Iino, Meeko Kuwahara, Kazuya Ueki (Meisei Univ.)
Various methods can be considered for scene search, but in this paper we propose application of image recognition techno... [more] AIT2019-52
pp.9-12
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. Analysis of Radio Speech Using Deep Neural Network
Wataru Yokota, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech)
Radio broadcasting, which uses audio information only, is still popular in the modern society in which television and mo... [more] AIT2019-142
pp.325-328
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.)
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] AIT2019-146
pp.341-344
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-19
16:00
Hokkaido Hokkaido Univ. A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model
Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo)
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more] MMS2019-13 HI2019-13 ME2019-35 AIT2019-13
pp.115-120
ME 2019-02-09
13:30
Kanagawa Kanto Gakuin University Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] ME2019-11
pp.31-34
ME 2018-02-24
14:30
Kanagawa Kanto Gakuin Univ. A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress o... [more] ME2018-61
pp.65-68
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-16
11:15
Hokkaido Hokkaido Univ. A note on classification of brain metastases from MR images based on machine learning
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.)
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more] MMS2018-33 HI2018-33 ME2018-33 AIT2018-33
pp.311-314
IEICE-ICD, IEICE-SDM, IST [detail] 2016-08-02
09:45
Osaka Central Electric Club [Invited Talk] CMOS Analog IC Technologies Toward AI Era
Toshimasa Matsuoka (Osaka Univ.)
Some techniques for improvement of a RF transmitter IC with genetic algorithm, error correction of
an A/D converter wi... [more]

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