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Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) (Searched in: 2022)
Search Results: Keywords 'from:2022-06-27 to:2022-06-27'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Transformer-Based Fully Trainable Model for Point Process with Past Sequence-Representative Vector Fumiya Nishizawa, Sujun Hong, Hirotaka Hachiya (Graduate School of System Engineering, Wakayama University)  NC2022-1 IBISML2022-1 |
Recently, a Transformer-based partially trainable point process has been proposed, where a feature vector is extracted f... [more] | NC2022-1 IBISML2022-1 pp.1-5 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2 |
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] | NC2022-2 IBISML2022-2 pp.6-13 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
AI knowledge forgetting based on the importance of model parameters Tomoya Yamashita, Masanori Yamada (NTT) NC2022-3 IBISML2022-3 |
The accuracy of Deep Learning has been greatly improved by the progress of research in computer technology and Deep Lear... [more] | NC2022-3 IBISML2022-3 pp.14-19 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 15:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluating and Enhancing Reliabilities of AI-Powered Tools
-- Adversarial Robustness -- Jingfeng Zhang (RIKEN-AIP) NC2022-4 IBISML2022-4 |
When we deploy models trained by standard training (ST), they work well on natural test data. However, those models cann... [more] | NC2022-4 IBISML2022-4 pp.20-46 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 15:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
NC2022-5 IBISML2022-5 |
(To be available after the conference date) [more] | NC2022-5 IBISML2022-5 pp.47-52 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 16:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Relaxing the Requirement for Decomposition of the Fisher Information Matrix for Simple Softplus Neural Networks Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) NC2022-6 IBISML2022-6 |
(To be available after the conference date) [more] | NC2022-6 IBISML2022-6 pp.53-60 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2022-7 IBISML2022-7 |
In domain adaptation, when there is a large distance between the source and target domains, the prediction performance w... [more] | NC2022-7 IBISML2022-7 pp.61-68 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models Takashi Takekawa (Kogakuin Univ.) NC2022-9 IBISML2022-9 |
Mixture models for multivariate normal distributions (GMM) are widely used for data clustering. To compensate for the s... [more] | NC2022-9 IBISML2022-9 pp.76-79 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 09:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Inside the Ventricle System Immune Cell Network Hypothesis for Language Processing and Intelligence
-- B lymphocytes in the CSF Control Spinal Reflexes and Speech Processing -- Kumon Tokumaru (Researcher) NC2022-10 IBISML2022-10 |
Some patients with idiopathic normal-pressure hydrocephalus develop aphasia or amnesia after shunt operation. This may b... [more] | NC2022-10 IBISML2022-10 pp.80-85 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 09:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Novel Analytical Method for Continual Learning Based on the Ease of Classification in Representation Spaces Kengo Murata, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.) NC2022-11 IBISML2022-11 |
(To be available after the conference date) [more] | NC2022-11 IBISML2022-11 pp.86-93 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 10:05 |
Okinawa | (Primary: On-site, Secondary: Online) |
Learning Attribute Vector Fields in GAN Latent Space Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) NC2022-12 IBISML2022-12 |
Generative Adversarial Networks (GANs) can generate a great variety of high-quality images. Despite their ability to g... [more] |
NC2022-12 IBISML2022-12 pp.94-99 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 10:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Short Paper]
A Pseudo Node Based Graph Convolution Network for Emotion Perception from Gait Shurong Chai, Jiaqing Liu (Ritsumeikan University), Tateyama Tomoko (Fujita Health University), LanFen Lin (Zheda), Yen-Wei Chen (Ritsumeikan University) NC2022-13 IBISML2022-13 |
[more] | NC2022-13 IBISML2022-13 pp.100-102 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 11:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling
-- Verification of Robustness for Road Surface Conditions -- Tatsuya Kai (Tokyo Univ. of Science), Kazuki Fukawa (DENSO) NC2022-14 IBISML2022-14 |
[more] | NC2022-14 IBISML2022-14 pp.103-108 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 11:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
NC2022-15 IBISML2022-15 |
The air conditioner is filled with a refrigerant, which is a heat transport medium for cooling and heating air and water... [more] | NC2022-15 IBISML2022-15 pp.109-114 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) NC2022-16 IBISML2022-16 |
Hundreds of contiguous bands of remotely sensed hyperspectral image (HSI) capture the spectral signatures of observed ob... [more] | NC2022-16 IBISML2022-16 pp.115-122 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Feature selection in prediction model by LiNGAM Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17 |
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] | NC2022-17 IBISML2022-17 pp.123-128 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 14:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
On DC Relaxation of Information-directed Sampling in Combinatorial Multi-armed Bandit Problem Junta Fujinaga (Kyoto Univ.), Taira Tsuchiya, Junya Honda (Kyoto Univ./RIKEN) NC2022-18 IBISML2022-18 |
[more] | NC2022-18 IBISML2022-18 pp.129-136 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Learning DAG Graph Models without Identifiability from Sparse Inverse Covariance Ziyu Guo, Shin Matsushima (UTokyo) NC2022-19 IBISML2022-19 |
[more] | NC2022-19 IBISML2022-19 pp.137-142 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search Kota Misaki, Shin Matsushima (UTokyo) NC2022-20 IBISML2022-20 |
There is a high demand for understanding causal relationships among multiple factors in the social and natural sciences.... [more] | NC2022-20 IBISML2022-20 pp.143-148 |
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