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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2022-09-13
13:45
Kanagawa Keio Univ. Yagami Campus.
(Primary: On-site, Secondary: Online)
A study on keyword extraction based on phrase-level context information acquisition
Yumeto Inaoka (Faber Company), Mitsuo Yoshida (Univ. of Tsukuba) NLC2022-5
We study a method for extracting words and phrases that belong to the desired class (e.g. magazine name) as keywords fro... [more] NLC2022-5
pp.5-8
SS, IPSJ-SE, KBSE [detail] 2022-07-29
13:25
Hokkaido Hokkaido-Jichiro-Kaikan (Sapporo)
(Primary: On-site, Secondary: Online)
Fault Localization for RNNs Based on Probabilistic Automata and n-grams
Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2022-10 KBSE2022-20
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] SS2022-10 KBSE2022-20
pp.55-60
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Comparison of Language Models for a Design of Reduced Phoneme Set
Shuji Komeiji, Toshihisa Tanaka (TUAT), Koichi Shinoda (titech) EA2019-152 SIP2019-154 SP2019-101
Language models for a design of reduced phoneme set are compared each other.
The reduction of the phoneme set improves ... [more]
EA2019-152 SIP2019-154 SP2019-101
pp.295-300
DC, SS 2019-10-25
10:00
Kumamoto Kumamoto Univ. Finding groups of similar answers in programming contests with source code metrics.
Kosuke Haraguchi, Tetsuya Kanda, Katsuro Inoue (Osaka Univ.) SS2019-21 DC2019-49
Many users participate in programming contests to learn algorithm and improve programming skills.
In the existing stud... [more]
SS2019-21 DC2019-49
pp.47-52
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A Design of Reduced Phoneme Set Based on a Language Model
Shuji Komeiji, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2018-134 SIP2018-140 SP2018-96
A design of reduced phoneme set based on a language model is proposed. The reduction of the phoneme set improves discrim... [more] EA2018-134 SIP2018-140 SP2018-96
pp.205-210
WIT, IPSJ-AAC 2019-03-10
09:55
Ibaraki Tsukuba University of Technology A scanning input system for Japanese text requiring no row selection
Hibiki Sakuraoka, Hiroki Mori (Utsunomiya Univ.) WIT2018-80
Fast scanning communication interface is beneficial for physically-challenged people.
This study proposal a new matrix-... [more]
WIT2018-80
pp.119-123
ICSS 2018-11-22
14:20
Kagoshima   Part II: Calculating Similarity between IoT Malware over CPU Architectures
Ryoichi Isawa, Tao Ban (NICT), Katsunari Yoshioka (YNU/NICT), Daisuke Inoue (NICT) ICSS2018-66
At the ICSS workshop held in June, 2018, we proposed a method for calculating
similarity between IoT malware samples ov... [more]
ICSS2018-66
pp.73-78
ICSS, IA 2018-06-25
13:25
Ehime Ehime University Calculating Similarity between IoT Malware Samples over CPU Architectures
Ryoichi Isawa, Tao Ban (NICT), Ying Tie (YNU), Katsunari Yoshioka (YNU/NICT), Daisuke Inoue (NICT) IA2018-2 ICSS2018-2
Malware samples infecting IoT (Internet of Things) devices such as Web cameras and
home routers have spread over the In... [more]
IA2018-2 ICSS2018-2
pp.7-12
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
SS, MSS 2018-01-18
11:05
Hiroshima  
Masayuki Doi, Yoshiki Higo, Ryo Arima, Kento Shimonaka, Shinji Kusumoto (Osaka Univ.) MSS2017-50 SS2017-37
(To be available after the conference date) [more] MSS2017-50 SS2017-37
pp.19-24
NS 2018-01-18
14:30
Okinawa Ishigakishi-Shoko-Kaikan Evaluation of Service Identification Based on Multiple TLS Sessions Clustering
Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2017-147
Identifying services of the traffic by given IP network flow is essential for various purposes, such as management of Qo... [more] NS2017-147
pp.17-22
SITE, EMM, ISEC, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2017-07-14
15:45
Tokyo   Proposal of the concept of connecting HIMOJI-ontologies by mutual information of texts, and its case study -- In the case to see latent texts as random variables --
Xianbo Song, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) ISEC2017-26 SITE2017-18 ICSS2017-25 EMM2017-29
This paper is linked to the theme of database creation of "HIMOJI data" which has been studied at Kanagawa University. H... [more] ISEC2017-26 SITE2017-18 ICSS2017-25 EMM2017-29
pp.135-140
TL 2016-07-24
13:45
Tokyo Waseda Univ. (Nishi-Waseda Campus) Computational modeling of hierarchical morphological structures
Yohei Oseki, Alec Marantz (NYU) TL2016-24
Chomsky (1956, 1957) famously showed that sentences are organized as hierarchical structures, not linear strings, of wor... [more] TL2016-24
pp.65-69
NS, IN
(Joint)
2016-03-03
10:40
Miyazaki Phoenix Seagaia Resort Application Identification by Packet Inspection based on N-gram
Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (Univ.Tokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (Univ.Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2015-192
Application Identification is important for controlling quality of services in extremely crowded networks, such as a net... [more] NS2015-192
pp.139-144
SP 2015-10-16
10:50
Hyogo Kobe Univ. Switch-To-Speech Communication Aid System Using WFST and Low Latency Search Algorithm
Fuming Fang, Takahiro Shinozaki (Tokyo Tech) SP2015-68
To establish a communication method for the patients who have lost nearly all of their voluntary movement
including spe... [more]
SP2015-68
pp.51-56
TL 2015-10-04
13:20
Tokyo WASEDA University An N-gram-based approach for input text synthesis depending on text-to-speech system
Wang Le, Kacper Radzikowski, Yoshie Osamu (Waseda Univ.) TL2015-34
Plenty of researches on text-to-speech(TTS) system have been made, in which prosodic information plays an important role... [more] TL2015-34
pp.1-5
SP 2015-08-21
10:00
Iwate Iwate Prefectural Univ. Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition
Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty) SP2015-50
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which... [more] SP2015-50
pp.1-6
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-19
15:45
Okinawa Okinawa Industry Support Center Participant Trajectory Collection in Poster Presentation Venue using Bluetooth Beacons -- A Case Study at the HCS2015-01 Meeting --
Masakatsu Ohta, Masafumi Matsuda, Tessei Kobayashi, Yuko Okumura, Hiroaki Sugiyama (NTT) HCS2015-11 HIP2015-11
This paper proposes a method for collecting spots visited by participants of events such as academic conferences and exh... [more] HCS2015-11 HIP2015-11
pp.91-96
MBE, NC
(Joint)
2014-11-21
15:10
Miyagi Tohoku University Setting of prior probability considering transition probability of letters and BS for P300 speller
Yuki Shiraya, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ) MBE2014-62 NC2014-32
P300 speller is one of the BCI that can input characters using P300 which is one of the characteristics in brain wave. B... [more] MBE2014-62 NC2014-32
pp.23-26(MBE), pp.39-42(NC)
HCS 2014-08-23
16:50
Kyoto   User's Impression of Robot Under the Imfluence of Evaluation Frequency during Interaction
Takuto Sakuma, Shohei Kato (Nagoya Inst. of Tech.) HCS2014-58
We focused our attention on interactions for purpose of enjoying communication. We believe that it is necessary to refle... [more] HCS2014-58
pp.85-90
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