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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 72  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
10:55
Miyagi
(Primary: On-site, Secondary: Online)
Iterative Detection and Decoding of Blind Self-Interference Cancellation with Adaptive Differential Delay for IBFD
Koichi Nishikawa, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-33 SIP2023-66 RCS2023-208
Self Interference (SI) cancellation is essential for realizing in-band full-duplex (IBFD) communications. An active SI c... [more] IT2023-33 SIP2023-66 RCS2023-208
pp.19-24
NS, RCS
(Joint)
2023-12-14
16:00
Fukuoka Kyushu Institute of Technology Tobata campus, and Online
(Primary: On-site, Secondary: Online)
Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder
Haruta Yamada, Ryoichi Kawahara (Toyo Univ.) NS2023-133
With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly i... [more] NS2023-133
pp.42-47
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
09:30
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Enhancing Recognition of Rare Words in ASR through Error Detection and Context-Aware Error Correction
Jiajun He, Zekun Yang, Tomoki Toda (Nagoya Univ.) NLC2023-16 SP2023-36
Automatic speech recognition (ASR) systems often suffer from errors, particularly when recognizing rare words. These err... [more] NLC2023-16 SP2023-36
pp.13-18
NLC, IPSJ-NL 2023-03-18
11:45
Okinawa OIST
(Primary: On-site, Secondary: Online)
Detection of Parkinson's disease patients from interview data using pre-trained language models
Aiichiro Hayatsu, Ryohei Sasano, Koichi Takeda (Nagoya Univ.) NLC2022-24
It is estimated that Parkinson’s disease (PD) affects 150,000 people in Japan, and the number of patients increases as s... [more] NLC2022-24
pp.28-31
SC 2023-03-17
11:05
Tokyo NII
(Primary: On-site, Secondary: Online)
Automatic Detection of Fire Causes for Text Mining of Fire Report
Kento Matsuba (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SC2022-41
Fire departments across Japan are facing the retirement of a large number of firefighters. So passing on skills and know... [more] SC2022-41
pp.16-21
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Eye-contact Transformer: Eye contact detection of distant pedestrians using a sequence of skeletons and scene features
Ryusei Hata, Daisuke Deguchi (Nagoya Univ), Takatsugu Hirayama (UHE/Nagoya Univ), Yasutomo Kawanishi (RIKEN/Nagoya Univ), Hiroshi Murase (Nagoya Univ) PRMU2022-112 IBISML2022-119
While driving, eye-contact from pedestrians is an important factor in determining whether they are aware of own vehicle ... [more] PRMU2022-112 IBISML2022-119
pp.281-286
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-11-30
10:30
Tokyo
(Primary: On-site, Secondary: Online)
Dialogue disfluency detection using context
Hiroto Nakashima, Kazutaka Shimada (KIT) NLC2022-13 SP2022-33
Recent automatic speech recognition (ASR) techniques have been improved by a large amount of training data and machine l... [more] NLC2022-13 SP2022-33
pp.21-26
KBSE 2022-03-09
14:35
Online Online (Zoom) Automatic Detection of Fire Causes for Ontology Development for Automatic Understanding of Fire Situation
Kento Matsuba, Masahide Nakamura (Kobe Univ.), Sachio Saiki (KUT) KBSE2021-45
The fire investigation report prepared by the Kobe City Fire Department contains information on the causes of the fire a... [more] KBSE2021-45
pp.24-29
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Detection and Analysis of Mental Health Issues from SNS Counseling Data
Kazuhiro Shidara, Hiroki Tanaka (NAIST), Rumiko Asada, Kayo Higashiyama (Osaka Prefecture), Hiroyoshi Adachi, Daisuke Kanayama, Yukako Sakagami, Takashi Kudo (Osaka University), Satoshi Nakamura (NAIST)
Remote counseling is essential for overcoming mobility restrictions, schedule limitations, and mental health stigma. How... [more]
PRMU 2021-10-09
10:45
Online Online Moving Scene Text Detection Using Synthetic Scene Text Video for Training
Zhiyuan Xie, Hideaki Goto, Takuo Suganuma (Tohoku Univ.) PRMU2021-21
In computer vision areas, scene text is valuable information for applications including scene understanding, autopilot, ... [more] PRMU2021-21
pp.28-33
LOIS 2021-03-04
13:50
Online Online Study of automatic masking method of locality on the plant specimen image based on the arrangement pattern of the text detection result
Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2020-49
When plant specimens are published, the locality of endangered species cannot be disclosed. Images with specimen labels ... [more] LOIS2020-49
pp.12-17
MSS, SS 2021-01-26
15:05
Online Online An Implementation of Text-classification Based Fault-prone Module Detection and Its Application to Industrial Environment
Osamu Mizuno, Osamu Mizuno (Kyoto Inst. Tech.), Kazuhiro Ishihara (Valtes), Daisuke Yamashita (Valtes Mobile Tech.) MSS2020-32 SS2020-17
In the software development, early detection of software defects
(bugs) contributes to mitigate the development effort ... [more]
MSS2020-32 SS2020-17
pp.19-24
PRMU 2020-09-02
10:15
Online Online PRMU2020-9 Our daily life is surrounded by textual information. Nowadays, the automatic collection of textual information becomes p... [more] PRMU2020-9
pp.7-12
LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2020-09-01
17:20
Online Online Study on automatic label masking method for plant specimen images using CTPN
Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2020-8 IE2020-20 EMM2020-32
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] LOIS2020-8 IE2020-20 EMM2020-32
pp.19-24
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:35
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
pp.93-96
IA 2019-11-15
11:00
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) Information Retrieval with Natural Language Processing for Disease Detection using Wikipedia Database
Wanchaloem Nadda, Waraporn Boonchieng, Ekkarat Boonchieng (CMU) IA2019-38
Nowadays, the detection of disease from symptoms is important. Some patients may not go to see a doctor when they find o... [more] IA2019-38
pp.65-66
MBE, NC 2019-10-11
15:00
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
pp.23-27
CCS, IN
(Joint)
2019-08-02
09:00
Hokkaido KIKI SHIRETOKO NATURAL RESORT [Invited Talk] Efficient Network Operation and Management enabled by AI technologies
Shinji Yamashita (Fujitsu Lab) IN2019-18
In order to realize effective network operation and management, it is expected to utilize emerging AI technologies. In t... [more] IN2019-18
pp.21-23
IT, ISEC, WBS 2019-03-07
10:20
Tokyo University of Electro-Communications Coherence-based Spoken Machine Translation Recognition: Towards an Efficient Gateway to Detect Untrusted Information
Nguyen Son Hoang Quoc, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto (KDDI Research) IT2018-77 ISEC2018-83 WBS2018-78
The machine-translated text is playing an important role in modern life which establishes wide communication among vario... [more] IT2018-77 ISEC2018-83 WBS2018-78
pp.13-19
NLC, IPSJ-IFAT 2019-02-08
15:50
Kyoto Ryukoku University Omiya Campus Change Point Detection of Word Senses by Analyzing Word Vectors Generated by Random Indexing
Masahiro Ishikawa (Takasaki Univ. of H. and W.) NLC2018-49
Massive amount of user-generated text has already been accumulated on the web. Such texts are utilized in many domains. ... [more] NLC2018-49
pp.75-79
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