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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 49 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
10:45
Toyama   A proposal on quick sensitivity analysis of empirical risk minimization problems
Hiroyuki Hanada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) PRMU2016-80 IBISML2016-35
For a training data set consisting of $n$ vectors of $d$ dimensions, we consider obtaining a training result from it by ... [more] PRMU2016-80 IBISML2016-35
pp.203-210
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Theoretical Vulnerability Evaluation on Linear Classifier under Self-Information Controllable Settings
Shohei Kobayashi (Univ. of Tsukuba), Shota Okumura, Ichiro Takeuchi (nitech), Jun Sakuma (Univ. of Tsukuba) IBISML2015-64
Self-information controllable learning is machine learning algorithms that allow data providers to control their data ev... [more] IBISML2015-64
pp.83-90
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Secure Approximation Guarantee for Private Empirical Risk Minimization with Homomorphic Encryption
Toshiyuki Takada, Hiroyuki Hanada (NIT), Jun Sakuma (Univ.Tsukuba), Ichiro takeuchi (NIT) IBISML2015-86
Privacy concern has been increasingly important in many machine learning problems. In this paper, we study empirical ris... [more] IBISML2015-86
pp.249-256
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
13:25
Okinawa Okinawa Institute of Science and Technology Differentially Private Multiple Hypothesis Testing
Kazuya Kakizaki, Jun Sakuma (Tsukuba Univ.) IBISML2015-8
Statistical hypothesis testing using test statistics ($p$-value) are commonly used for identification of new scientific ... [more] IBISML2015-8
pp.47-54
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
13:50
Okinawa Okinawa Institute of Science and Technology Lasso Granger Causality Estimation Considering Smoothness of Causality from Time Series Data
Hitoshi Abe, Jun Sakuma (Tsukuba Univ.) IBISML2015-9
Recently, various services for real world problems continually produce huge amount of time series data. Determination of... [more] IBISML2015-9
pp.55-62
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Differential Privacy on Linear Regression Model of Crowdsensing
Tran Quang Khai, Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2014-47
Learning statistic models using the data collected from crowd is one of the important tasks in the crowdsensing. Crowdse... [more] IBISML2014-47
pp.95-102
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
17:00
Ibaraki   Analysing the Fairness of Fairness-aware Classifiers
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] PRMU2014-47 IBISML2014-28
pp.85-92
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
17:30
Ibaraki   Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) PRMU2014-48 IBISML2014-29
In order to apply machine learning algorithms to real world problems, it is necessary to ensure that discrimination, unf... [more] PRMU2014-48 IBISML2014-29
pp.93-100
EMCJ 2014-07-10
14:20
Tokyo Kikai-Shinko-Kaikan Bldg. Reliability Evaluation of ECG Signal Transmitted by IR-Based Human Body Communication
Taku Kato, Jun Sakuma, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-20
Real-time vital data monitoring system for driver’s health condition attracts much attention in intelligent transportati... [more] EMCJ2014-20
pp.19-24
PRMU, MI, IE, SIP 2014-05-23
13:40
Aichi   [Special Talk] Privacy Protection in Data Analytics -- Towards Application Development for Complex Event Sensing and Healthcare Services --
Jun Sakuma (Univ. of Tsukuba) SIP2014-18 IE2014-18 PRMU2014-18 MI2014-18
Advanced integration of big data are expected to bring about innovative services.
Along with the ICT services that pene... [more]
SIP2014-18 IE2014-18 PRMU2014-18 MI2014-18
p.97
EMCJ 2014-04-18
15:25
Toyama Univ. Toyama Real-Time ECG Signal Transmission by Human Body Communication and Common Mode Noise Reduction in ECG Signal
Jun Sakuma, Takuya Fujiwara, Taku Kato, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-6
Real-time vital data monitoring systems for driver’s health condition have drawn considerable attention in intelligent t... [more] EMCJ2014-6
pp.31-36
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Query auditing for privacy preserving similarity search
Hiromi Arai (RIKEN), Koji Tsuda (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-46
In this paper, we propose a query auditing method for similarity searches that examines whether database responces satis... [more] IBISML2013-46
pp.77-83
IBISML 2013-07-18
11:05
Tokyo Nishiwaseda Campus (Waseda univ.) Online learning from Crowds
Tran Quang Khai, Jun Sakuma (Univ. of Tsukuba) IBISML2013-4
In our paper, we propose an online learning algorithm for classification problems using crowdsourcing services. By using... [more] IBISML2013-4
pp.19-26
IBISML 2013-07-18
13:50
Tokyo Nishiwaseda Campus (Waseda univ.) An improvement of a Neutrality Term in an Information-neutral Recommender System
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-7
Information-neutral recommender systems aim to make recommendations whose neutrality from the specified viewpoint is gua... [more] IBISML2013-7
pp.43-50
IBISML 2013-07-18
14:45
Tokyo Nishiwaseda Campus (Waseda univ.) Pairwise Co-link Propagation Kernel
Satoshi Hasegawa, Jun Sakuma (Univ. of Tsukuba) IBISML2013-9
We propose a novel pairwise kernel that combines node feature kernels and link structure kernels for
pairwise classific... [more]
IBISML2013-9
pp.59-66
IBISML 2013-07-18
15:10
Tokyo Nishiwaseda Campus (Waseda univ.) Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption
Shuang Wu, Junpei Kawamoto (Univ. of Tsukuba), Hiroaki Kikuchi (Meiji Univ.), Jun Sakuma (Univ. of Tsukuba) IBISML2013-10
Preserve the privacy of personal information when conducting statistical analysis has attracted much attention in machin... [more] IBISML2013-10
pp.67-74
ICSS 2012-11-22
16:25
Hiroshima Miyajima Mori-no-Yado Implementation and Evaluation of Privacy-Preserving Epidemic Analysis System
Tomoki Sato, Hiroaki Kikuchi (Tokai Univ.), Jun Sakuma (UT) ICSS2012-55
This paper studies privacy issues about epidemiological study. Epidemiological study needs to preserve the privacy of su... [more] ICSS2012-55
pp.61-66
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Differential Privacy of Positive Semi-definite Matrices
Jun Sakuma (U. Tsukuba) IBISML2012-46
, , , , [more] IBISML2012-46
pp.89-96
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Privacy Breach and Differential Privacy of Similarity Search
Hiromi Arai (RIKEN), Jun Sakuma (Univ. of Tsukuba) IBISML2012-60
We examine the database privacy of similarity based ranking for a database of private records where each record and quer... [more] IBISML2012-60
pp.185-192
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Recommendation with User Stereotyping
Tatsuya Osame (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST) IBISML2012-63
Prediction accuracy of recommendation algorithm with user-item rating matrices can be improved by making use of user att... [more] IBISML2012-63
pp.205-212
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