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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 71  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-30
10:00
Okinawa OKINAWAKEN SEINENKAIKAN Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition
Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech) MI2019-99
In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] MI2019-99
pp.151-154
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN Extracting and Visualization of Essential Features for Staining Translation of Pathological Images
Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116
In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] MI2019-116
pp.215-218
EMCJ, MW, EST, IEE-EMC [detail] 2019-10-25
14:45
Miyagi Tohoku Gakuin University(Conf. Room 2, Eng. Bldg. 1) Estimation of Heat Stroke Patients in the Three Prefectures of Japan
Taku Nishimura, Kazuma Hasegawa, Ichiro Takeuchi (NITech), Ryusuke Egawa (Tohoku Univ.), Akimasa Hirata (NITech) EMCJ2019-64 MW2019-93 EST2019-72
The morbidity of heat-related illness increases in recent years, especially elderly patients occupy almost half of the a... [more] EMCJ2019-64 MW2019-93 EST2019-72
pp.157-162
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:20
Okayama   Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma
Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS) PRMU2019-15 MI2019-34
We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input ... [more] PRMU2019-15 MI2019-34
pp.19-24
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
EST 2019-05-17
16:25
Aichi Nagoya Inst. Tech. [Invited Talk] Integration of simulation and data science approaches in the field of biomedical and material science.
Ichiro Takeuchi (NITech/RIKEN)
 [more]
MI 2019-01-22
15:05
Okinawa   [Short Paper] Study on subtype classification of malignant lymphoma using immunostaining information
Noriaki Hashimoto, Kaho Ko, Daisuke Fukushima, Tatsuya Yokota (Nagoya Inst. of Tech.), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani (Nagoya Inst. of Tech.) MI2018-83
 [more] MI2018-83
pp.95-96
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
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Selective Inference for Feature Selection after Hierarchical Clustering
Kenta Suzuki, Shigenori Inoue, Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-70
It is important to find characteristic features behind the data from, e.g., gene expression level or customer's purchase... [more] IBISML2018-70
pp.197-204
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Statistical test for extracting discriminative patterns from trajectory data
Takuto Sakuma (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN) IBISML2018-72
In this paper, we propose a statistical test method for extracting characteristic subsequences (patterns) from trajector... [more] IBISML2018-72
pp.213-220
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Selective Inference for Dynamic Programming-based Sequence Segmentation
Hiroki Toda, Yuta Umezu, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-81
Recently, a large number of sensor devices have enabled us to collect various kind of sequence data easily. Sequence seg... [more] IBISML2018-81
pp.279-286
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Active learning for identifying local minimum points based on the derivative of Gaussian process
Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94
In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] IBISML2018-94
pp.373-380
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Active Learning in Sparse Linear Regression Models via Selective Inference
Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-95
In order to efficiently estimate interested parameter, one can design sampling strategy by defining some criterion on th... [more] IBISML2018-95
pp.381-388
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
10:50
Okinawa Okinawa Institute of Science and Technology Post Clustering Inference, with Application to Single Cell Analysis
Shigenori Inoue, Yuta Umezu (NIT), Shouma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) IBISML2018-3
There are many data with several subgroups, such as customer data and gene expression data and so on. One way to analyze... [more] IBISML2018-3
pp.15-22
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
11:15
Okinawa Okinawa Institute of Science and Technology Selective Inference for Predictive Sequence Mining and Its Applications to Trajectory Data Analysis
Kazuya Nishi, Takuto Sakuma, Yuta Umezu, Shinsuke Kajioka, Ichiro Takeuchi (NIT) IBISML2018-4
 [more] IBISML2018-4
pp.23-29
IBISML 2018-03-06
10:00
Fukuoka Nishijin Plaza, Kyushu University Learning rule-base model by Safe Pattern Pruning
Hiroki Kato, Hiroyuki Hanada (Nagoya Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS) IBISML2017-98
We consider learning the prediction model called ''rule-base model''. Rule-base model is the model which uses ''rules'' ... [more] IBISML2017-98
pp.55-62
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 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Post Clustering Inference for Heterogeneous Data
Shigenori Inoue, Yuta Umezu (NIT), Shoma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) IBISML2017-44
Along with the prevalence of Precision Medicine, the demand for analytical methods on heterogeneous data is increasing. ... [more] IBISML2017-44
pp.69-76
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
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