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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-15
15:15
Online Online Deep State-Space Modeling of FMRI Images with Disentangle Attributes
Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-59
As well as the disorder and other targets, nuisance attributes such as age, gender, and scanner specifications underlie ... [more] MI2020-59
pp.56-61
MI 2021-03-17
13:45
Online Online Medical Image Style Translation by Adversarial Training with Paired Inputs
Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-96
Medical image diagnosis by artificial intelligence requires a large amount of data for learning. However, preparing such... [more] MI2020-96
pp.212-217
IBISML 2020-10-20
10:25
Online Online Few-shot Anomaly Detection by Extracting Common Feature of Set Data
Kazuki Sato (Kobe Univ.), Satoshi Nakata (The KAITEKI Institute), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) IBISML2020-9
 [more] IBISML2020-9
pp.8-13
IN, CCS
(Joint)
2020-08-03
15:35
Online Online [Invited Talk] Current Status and Future Prospects for Image-Based Anomaly Detection
Kazuki Sato (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) CCS2020-12
 [more] CCS2020-12
pp.1-4
IBISML 2020-03-11
09:45
Kyoto Kyoto University
(Cancelled but technical report was issued)
Knowledge Graph Completion by Separating Transition and Score Functions
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-41
A knowledge graph is represented by a set of two entities and the relations, and used for various tasks such as informat... [more] IBISML2019-41
pp.59-62
IBISML 2020-03-11
15:10
Kyoto Kyoto University
(Cancelled but technical report was issued)
Fairness Causes Vulnerability to Adversarial Attacks
Koki Wataoka, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-48
When using machine learning models in society, it is essential to be ensure classifiers are fair to race and gender. In ... [more] IBISML2019-48
pp.101-105
CCS 2019-11-14
13:25
Hyogo Kobe Univ. Calibration of Confidence in Deep Learning under Dataset Shift
Kazuki Yoshida, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-25
Calibration of confidence is important when you want to obtain not only the prediction class of unknown data but also th... [more] CCS2019-25
pp.5-8
CCS 2019-11-15
10:45
Hyogo Kobe Univ. Deep Unsupervised Defect Segmentation Robust to Aleatoric Uncertainty
Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-32
 [more] CCS2019-32
pp.37-40
CCS 2019-11-15
11:10
Hyogo Kobe Univ. Mental Disorder Diagnosis Based on fMRI Images by Deep Generative Model Using Attribute
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-33
 [more] CCS2019-33
pp.41-44
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:00
Okinawa Okinawa Institute of Science and Technology Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] IBISML2019-1
pp.1-8
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:25
Okinawa Okinawa Institute of Science and Technology Adversarial Day-to-Night Conversion Supporting Object Detection for Autonomous Driving
Kazuki Fujioka (Kobe Univ.), Takashi Machida (Toyota CRDL), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-2
 [more] IBISML2019-2
pp.9-14
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:50
Okinawa Okinawa Institute of Science and Technology Aleatoric Uncertainty-Aware Score for Deep Unsupervised Anomaly Segmentation
Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-3
 [more] IBISML2019-3
pp.15-20
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
17:35
Okinawa Okinawa Institute of Science and Technology Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) NC2019-12
Machine learning-based accurate diagnosis of mental disorders is expected to support finding their biomarkers and unders... [more] NC2019-12
pp.45-50
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:30
Okinawa Okinawa Institute of Science and Technology Hybrid Reinforcement and Imitation Learning for Human-Like Agents
Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] NC2019-16 IBISML2019-14
pp.69-74(NC), pp.91-96(IBISML)
CCS 2018-11-23
10:50
Hyogo Kobe Univ. A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] CCS2018-41
pp.45-50
CCS 2018-11-23
14:55
Hyogo Kobe Univ. Hypernetwork-based Implicit Posterior Estimation of CNN
Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] CCS2018-45
pp.67-72
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:50
Fukuoka   Image-Caption Retrieval by Embedding to Gaussian Distribution
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) PRMU2018-38 IBISML2018-15
To get distributed representations of words, one has typically embedded words to points.
Recent studies successfully... [more]
PRMU2018-38 IBISML2018-15
pp.17-20
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:40
Fukuoka   Image Patchwork Data Augmentation
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) PRMU2018-43 IBISML2018-20
Deep convolutional neural networks (CNNs) have demonstrated remarkable results thanks to their numerous parameters.
How... [more]
PRMU2018-43 IBISML2018-20
pp.47-54
IN, CCS
(Joint)
2018-08-02
13:50
Hokkaido Kitayuzawa Mori-no-Soraniwa Deep Generative Model Structured for Feature Extraction of fMRI Images
Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kove Univ.) CCS2018-32
 [more] CCS2018-32
pp.29-32
IN, ICTSSL, NWS
(Joint)
2016-10-20
11:25
Osaka Osaka Uinv. Reasoning daily activities of single life using environment sensing and indoor location
Long Niu, Seiji Sakakibara, Seiki Tokunaga, Sachio Saiki, Takashi Matsubara, Masahide Nakamura, Kuniaki Uehara (Kobe Univ.) IN2016-49
 [more] IN2016-49
pp.7-8
 Results 1 - 20 of 46  /  [Next]  
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