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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 14:20 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT)  NC2023-3 IBISML2023-3 |
X-ray absorption spectra are known as a useful experimental measurement technique for crystal structure analysis. Spectr... [more] | NC2023-3 IBISML2023-3 pp.17-24 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-30 13:30 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Predictive graph mining for attributed graph data through proximal gradient pruning Ren Sugihara, Shinji Tajima, Ryota Kitahara, Masayuki Karasuyama (NIT) NC2023-16 IBISML2023-16 |
[more] | NC2023-16 IBISML2023-16 pp.98-105 |
| IBISML | 2022-12-23 14:00 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-60 |
(To be available after the conference date) [more] | IBISML2022-60 pp.120-127 |
| IBISML | 2022-09-15 15:05 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions Takumi Yoshida (Nitech), Hiroyuki Hanada (RIKEN), Kazuya Nakagawa, Shinya Suzumura, Onur Boyar, Kazuki Iwata (Nitech), Shun Shimura, Yuji Tanaka (NaogyaU), Masayuki Karasuyama (Nitech), Kouichi Taji (NaogyaU), Koji Tsuda (UTokyo/RIKEN), Ichiro Takeuchi (NaogyaU/RIKEN) IBISML2022-38 |
Safe Screening and Safe Pattern Pruning are methods for efficiently modeling high-dimensional features by $L_1$-regulari... [more] | IBISML2022-38 pp.39-46 |
| IBISML | 2022-01-17 10:20 |
Online | Online | Constrained Bayesian Optimization through Optimal-value Entropy Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT) IBISML2021-19 |
The constrained optimization problem for the expensive black-box function is a major problem. Although the effectiveness... [more] | IBISML2021-19 pp.9-16 |
| IBISML | 2022-01-18 13:00 |
Online | Online | Local Explanation of Graph Neural Network through Predictive Graph Mining Hinata Asahi, Masayuki Karasuyama (NIT) IBISML2021-23 |
Graph Neural Networks (GNNs) have attracted wide attention in the data science community. However, predictions of GNNs a... [more] | IBISML2021-23 pp.37-44 |
| IBISML | 2022-01-18 15:00 |
Online | Online | Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search Rintaro Yamada, Shion Takeno, Masayuki Karasuyama (NIT) IBISML2021-28 |
Bayesian optimization (BO) has been widely studied as an effective approach to black-box optimizations. On the other han... [more] | IBISML2021-28 pp.75-80 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 15:20 |
Online | Online | Predictive Graph Mining using Graphs with Interval Attributes Hinata Asahi, Masayuki Karasuyama (NIT) NC2021-6 IBISML2021-6 |
Graphs have been widely used to represent structured data such as molecular data and traffic networks. In this paper, we... [more] | NC2021-6 IBISML2021-6 pp.39-46 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 15:45 |
Online | Online | Active learning for distributionally robust chance-constrained optimization Yu Inatsu, Shion Takeno, Masayuki Karasuyama (Nitech), Ichiro Takeuchi (Nitech/RIKEN) NC2021-7 IBISML2021-7 |
Chance-constrained optimization (CCO) is one of the constrained optimization problems where some of the inputs to a blac... [more] | NC2021-7 IBISML2021-7 pp.47-54 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 17:00 |
Okinawa | Okinawa Institute of Science and Technology | Adaptive Discretization based Predictive Sequence Mining for Continuous Time Series Yoshikazu Shibahara, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/RIKEN/NIMS), Masayuki Karasuyama (NIT/NIMS) IBISML2019-9 |
In recent years, improvement of sensor performance and spread of portable devices such as smartphones enable us to easil... [more] | IBISML2019-9 pp.57-64 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Distance Metric Learning Between Graphs Based on Subgraph Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-64 |
A standard approach to evaluating distance between two graphs is to use common subgraphs contained in the two graphs. Fo... [more] | IBISML2018-64 pp.151-158 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 10:00 |
Okinawa | Okinawa Institute of Science and Technology | Active Level Set Estimation with Multi-fidelity Evaluations Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1 |
Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the functi... [more] | IBISML2018-1 pp.1-8 |
| IBISML | 2018-03-06 11:15 |
Fukuoka | Nishijin Plaza, Kyushu University | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101 |
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] | IBISML2017-101 pp.77-84 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Safe Screening for Large Margin Metric Learning Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2017-64 |
Large margin metric learning learns the optimal Mahalanobis distance for classification problem based on the margin maxi... [more] | IBISML2017-64 pp.219-226 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 11:25 |
Okinawa | Okinawa Institute of Science and Technology | Cost-sensitive Bayesian optimization for multiple objectives and its application to material science Tomohiro Yonezu (NITech), Tomoyuki Tamura, Ryo Kobayashi (NITech/NIMS), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2017-10 |
We consider solving a set of black-box optimization problems in which each problem has a similar objective function each... [more] | IBISML2017-10 pp.207-213 |
| IBISML | 2017-03-07 10:00 |
Tokyo | Tokyo Institute of Technology | Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech) IBISML2016-105 |
Recently, the analysis for time-series logging data of animal behaviors, called bio-logging data, has attracted a wide a... [more] | IBISML2016-105 pp.41-48 |
| IBISML | 2017-03-07 11:00 |
Tokyo | Tokyo Institute of Technology | A study on minimizing size of sparse model optimization problem: exploiting safe rules for keeping and removing variables Masayuki Karasuyama (NIT/NIMS/JST), Atsushi Shibagaki (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN/NIMS) IBISML2016-107 |
[more] | IBISML2016-107 pp.57-62 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Exploring GB Energies using Gaussian Process Masayuki Karasuyama (NIT/NIMS/JST Sakigake), Tomoyuki Tamura, Ryo Kobayashi, Ichiro Takeuchi, Masanobu Nakayama (NIT/NIMS) IBISML2016-67 |
[more] | IBISML2016-67 pp.151-154 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Estimating Proton Conductivity in Crystals by using Guassian Process and Dynamic Programming Kenta Kanamori (NITech), Kazuaki Toyoura (Kyoto Univ.), Shinichi Nakajima (TU Berlin), Atsuto Seko (Kyoto Univ.), Masayuki Karasuyama (NITech), Akihide Kuwabara (JFCC), Junya Honda (Tokyo Univ.), Kazuki Shitara (JFCC), Motoki Shiga (Gifu Univ.), Ichiro Takeuchi (NITech) IBISML2016-73 |
In material science, $proton conductivity$ is very important property for designing new battery and it is defined as max... [more] | IBISML2016-73 pp.191-198 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 15:45 |
Toyama | Sparse learning for pattern mining problem by using Safe Pattern Pruning method Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama (NIT), Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (NIT) PRMU2016-70 IBISML2016-25 |
In this paper we study predictive pattern mining problems where the goal is to construct a predictive model based on a s... [more] | PRMU2016-70 IBISML2016-25 pp.127-134 |
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