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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 84 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA
Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] IBISML2018-75
pp.233-240
NLC, IPSJ-DC 2018-09-06
17:20
Tokyo Seikei University Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] NLC2018-19
pp.51-56
PRMU, SP 2018-06-28
16:30
Nagano   Analysis of solution diversity about topic model
Toshio Uchiyama (HIU) PRMU2018-26 SP2018-6
A Topic model is known as a useful statistical model for analyzing text
data and images. Many different parameters (s... [more]
PRMU2018-26 SP2018-6
pp.25-30
KBSE 2018-05-26
10:15
Tokyo Kikai-Shinko-Kaikan Bldg. Adjusting dependency-based software clusters using semantic cohesion
Keisuke Yano, Akihiko Matsuo (Fujitsu Labs.) KBSE2018-9
Software clustering techniques have been used to divide a software system into smaller parts. Especially, dependency-bas... [more] KBSE2018-9
pp.43-48
HCS 2018-03-14
14:20
Miyagi Research Institute of Electrical Communication, Tohoku University Affection on User's Empathy Caused by Text Content
Kazunori MAtsumoto, Kazushi Ikeda, Syunichi Tahara, Keiichirou Hoashi (KDDI Research Labs.) HCS2017-115
(To be available after the conference date) [more] HCS2017-115
pp.131-137
SS 2018-03-06
16:30
Okinawa   Toward Visualization of Discussions about Software Quality in OSS Development
Shunta Nakanishi, Eunjong Choi, Hajimu Iida (NAIST) SS2017-70
To reduce software development cost, Open Source software (OSS) is frequently used in software development companies. Ho... [more] SS2017-70
pp.35-38
IBISML 2018-03-05
16:35
Fukuoka Nishijin Plaza, Kyushu University Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model
Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2017-95
In this study, we extract intra-week and intra-day activity patterns based on hourly step-count data recorded using an a... [more] IBISML2017-95
pp.35-40
ET 2018-03-03
14:25
Kochi Kochi University of Technology (Eikokuji Campus) Construction of Latent Needs Visualization Agent Based on a Hierarchical Topic Model
Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-98
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] ET2017-98
pp.53-58
ET 2018-01-27
14:50
Hyogo Kobe Univ. Development of Latent Needs Visualization Agent for Supporting IT Troubleshooting Process within a University
Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-85
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] ET2017-85
pp.31-36
IA 2018-01-26
10:55
Tokyo Kikai-Shinko-Kaikan Bldg. Investigating influences of delivery method switching procedures on Pub/Sub infrastructure utilizing SDN
Ryosuke Morifusa, Toyokazu Akiyama (Kyoto Sangyo Univ.) IA2017-65
Topic-based Pub/Sub communication model is widely used in SNS and IoT. SAPS(SDN Aware Pub/Sub) was proposed as a distrib... [more] IA2017-65
pp.1-6
CAS, MSS, IPSJ-AL [detail] 2017-11-16
16:05
Tokyo   Document classification on unknown class using transfer learning
Masato Shirai (Shimane Univ.), Jianquan Liu (NEC) CAS2017-48 MSS2017-32
In this investigation, we propose a new classification method based on transfer learning to classify new classes without... [more] CAS2017-48 MSS2017-32
pp.51-56
ET 2017-11-11
16:40
Tokyo Sophia Univ. Analysis of Latent Needs for IT Consultation within a University using a Topic Model
Yusuke Kometani, Takashi Satoh (The Univ. of Kitakyushu) ET2017-66
When trouble comes, we often try to implement a workaround as a temporal solution. This approach is generally useless to... [more] ET2017-66
pp.69-74
NLC 2017-09-08
10:50
Tokyo Seikei University Applicability of Structural Topic Model to job search site VOC text analysis -- Feature selection with Bayesian Network Structure Learning --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25
We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more] NLC2017-25
pp.53-58
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-25
09:55
Okinawa Okinawa Institute of Science and Technology Stochastic Divergence Minimization for Biterm Topic Model
Zhenghang Cui (Univ. of Tokyo), Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-7
Inferring latent topics of collected short texts is useful for understanding its hidden structure and predicting new con... [more] IBISML2017-7
pp.185-192
PRMU, SP 2017-06-22
17:00
Miyagi   Investigation of solution diversity about probabilistic latent semantic analysis using normalized mutual information
Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2017-31 SP2017-7
Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet
analysis are known as topic models to analyze text ... [more]
PRMU2017-31 SP2017-7
pp.33-38
PRMU, BioX 2017-03-20
17:10
Aichi   Calculation of Inter-Concept Distance based on Multi-Modal Topic Model Considering Junk Images
Yusuke Nagasawa, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2016-50 PRMU2016-213
In this paper, we propose a method to calculate Inter-Concept Distance (ICD) using tagged images. In most cases, visual ... [more] BioX2016-50 PRMU2016-213
pp.105-110
IBISML 2017-03-07
13:00
Tokyo Tokyo Institute of Technology Classification of In-week and -day Patterns of Ambulatory Activity Using a Hierarchical Topic Model and Interpolation of Step Counts in Missing Days
Shunichi Nomura (Tokyo Tech.), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2016-109
In this study, we extract in-week and -day patterns of ambulatory activity based on hourly recorded step counts. A hiera... [more] IBISML2016-109
pp.71-76
IBISML 2017-03-07
13:30
Tokyo Tokyo Institute of Technology Topic model for analysis of gene expression data
Koji Iwayama (Ryukoku Univ.), Atsushi J. Nagano (Ryukoku Univ./Kyoto Univ.) IBISML2016-110
The process, by which gene is used in the synthesis of a gene product through transcription and translation, is called e... [more] IBISML2016-110
pp.77-82
IA, SITE, IPSJ-IOT [detail] 2017-03-03
14:15
Okinawa Culture Resort Festone (Okinawa) A retrieval system considering with unknown relations using the Topic model
Kazuki Yata, Hirostugu Kinoshita, Tetuya Morizumi (Kanagawa Univ) SITE2016-67 IA2016-97
In recent years, the amount of information handled by individuals and companies is increasing. When searching data on th... [more] SITE2016-67 IA2016-97
pp.37-40
AI 2017-02-18
16:00
Okayama   Proposal of extracting purchase behavior and product DNA using Topic Model
Mamoru Emoto, Yukio Ohsawa (UTokyo) AI2016-33
In this study, we propose a method that enables us to extract customer characters and product characters based on custom... [more] AI2016-33
pp.51-55
 Results 21 - 40 of 84 [Previous]  /  [Next]  
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