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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE 2023-06-16
08:50
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Analysis of Impact of Interest Rate Hikes on U.S. Industry Market Capitalization -- Time Series Data Analysis by Amplitude-based Clustering --
Saki Takabatake, Yukari Shirota (Gakushuin Univ.) DE2023-1
The U.S. Federal Reserve Board (FRB) has been raising the Federal Funds Rate (FF Rate), since March 2022 for price stabi... [more] DE2023-1
pp.1-6
AI 2022-12-21
15:10
Fukuoka   Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses
Daisuke Suzuki (Hokuriku Univ.) AI2022-42
This study aims to grasp trends of students' selection of specialized fields through clustering and visualization of stu... [more] AI2022-42
pp.50-55
PRMU 2022-10-21
10:00
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Melody popularity analysis by using SPICE circuit neural network having time-sequence structured neurons
Ayumi Imamoto, Taichiro Kojima, Yuka Honjo, Kan Takeuchi PRMU2022-22
To comprehend what in melodies moves our soul, an analog neural network rather than digital AI is used. The unit neuron ... [more] PRMU2022-22
pp.1-5
EA 2022-05-13
15:35
Online Online Quantitative Acoustic Evaluation of Record Players
Ryusei Ikegami, Naoki Wakui, Syouhei Yano (NITNC) EA2022-10
(To be available after the conference date) [more] EA2022-10
pp.46-49
EA 2022-05-13
16:00
Online Online Examining personal differences by bone-conduction earphone
Ryotaro Kainuma, Shohei Yano (NITNC) EA2022-11
(To be available after the conference date) [more] EA2022-11
pp.50-53
NLC 2022-03-07
13:25
Online Online An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party
Yuki Mikiya (Keio Univ.), Daichi Mochihashi (ISM) NLC2021-32
Understanding the semantic differences among texts has important implications in the social sciences and humanities. In ... [more] NLC2021-32
pp.24-29
MBE, NC
(Joint)
2022-03-03
10:20
Online Online Proposal of drowsiness detection from multimodal biosignals using t-SNE
Takumi Nomura, Shin'ichiro Kanoh (SIT) MBE2021-94
The method to detect drowsiness from electroencephalogram (EEG), electrocardiogram (ECG), and electroretinogram (EOG) wh... [more] MBE2021-94
pp.31-34
MBE, NC
(Joint)
2022-03-04
09:30
Online Online Classification and discriminability of heart rate variability indices in monkeys and humans using machine learning
Itaru Kaneko, Daisuke Hirahara (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Emi Yuda (Tohoku Univ.) MBE2021-100
In the field of biometrics, the use of physical characteristics to identify individuals has become a familiar technology... [more] MBE2021-100
p.55
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online A Consideration on Detecting Anormal Respondents in Large Questionnaire Response Data
Hiroyuki Takahashi, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.)
In a questionnaire with a variety of questions for consumers to answer, there may be a small number of specific answers ... [more]
AI 2020-02-14
17:10
Shimane Izumo Campus, Shimane University Customer Analysis Based on Benefit Segmentation Using a t-SNE
Fumiaki Saitoh (CIT) AI2019-53
Understanding customer characteristics based on data is an important issue in marketing areas such as new product develo... [more] AI2019-53
pp.61-66
NC, MBE
(Joint)
2019-03-04
13:25
Tokyo University of Electro Communications Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution
Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages.
... [more]
NC2018-54
pp.61-66
ICSS, IPSJ-SPT 2018-03-08
09:20
Hokkaido Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center Considering Opcode-based Similarity between IoT Malware Samples
Ryoichi Isawa, Tao Ban (NICT), Ying Tie (YNU), Katsunari Yoshioka (YNU/NICT), Daisuke Inoue (NICT) ICSS2017-69
In this paper, we generate a similarity matrix between IoT (Internet of Things) malware samples based on their disassemb... [more] ICSS2017-69
pp.109-114
 Results 1 - 12 of 12  /   
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