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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2024)
Search Results: Keywords 'from:2024-06-20 to:2024-06-20'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 10:10 |
Okinawa | OIST | Estimating Proportion of Outliers Based on Alpha-Beta Divergence
-- In the Case of Discrete Distributions -- Masahiro Kobayashi (Toyohashi Tech.)  NC2024-1 IBISML2024-1 |
To avoid the adverse effects of outliers mixed in the data, statistical inference based on divergences has been studied.... [more] | NC2024-1 IBISML2024-1 pp.1-7 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 10:35 |
Okinawa | OIST | Research on 3D Reconstruction of Shellfish Based on Multi-View Images Changxin Lyu, Sikun Wang (FIT), Kazuhiro Tsujino (DUP), Cunwei Lu (FIT) NC2024-2 IBISML2024-2 |
With the increasing popularity of online shopping, 3D models can provide realistic product presentations in comparison t... [more] | NC2024-2 IBISML2024-2 pp.8-13 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 11:10 |
Okinawa | OIST | Random Fourier feature latent variable model for user preference embedding and analysis Kazuaki Takehara (SOKENDAI), Daichi Mochihashi (ISM) NC2024-3 IBISML2024-3 |
We propose a model to visualize and analyze user preferences (degrees of liking or disliking) for items. The proposed m... [more] |
NC2024-3 IBISML2024-3 pp.14-21 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 11:35 |
Okinawa | OIST | Dynamics of the accelerated t-SNE Kyoichi Iwasaki (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2024-4 IBISML2024-4 |
TBA [more] | NC2024-4 IBISML2024-4 pp.22-29 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 13:30 |
Okinawa | OIST | NC2024-5 IBISML2024-5 |
(To be available after the conference date) [more] | NC2024-5 IBISML2024-5 pp.30-36 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 13:55 |
Okinawa | OIST | Evaluation of Transferability for Adversarial Examples Shunichi Kato, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) NC2024-6 IBISML2024-6 |
Adversarial Example (AE) has been reported as a threat to AI. AE is an attack that misclassify prediction results by add... [more] | NC2024-6 IBISML2024-6 pp.37-42 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 14:20 |
Okinawa | OIST | Anomaly Detection in the Frequency Domain with Statistical Reliability Akifumi Yamada, Kouichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2024-7 IBISML2024-7 |
There are many applications of artificial intelligence (AI) in the field of anomaly detection in the frequency domain fo... [more] | NC2024-7 IBISML2024-7 pp.43-50 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:00 |
Okinawa | OIST | Selective Inference for Reliability Quantification of k-Nearest Neighbor Anomoaly Detection Mizuki Niihori, Akihumi Yamada (Nagoya Univ.), Masaya Ikuta (NITech), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) NC2024-8 IBISML2024-8 |
Currently, the $k$-nearest neighbor method is widely used in the field of machine learning anomaly detection. This met... [more] |
NC2024-8 IBISML2024-8 pp.51-59 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:25 |
Okinawa | OIST | Selective Inference for Anomaly Detection using Diffusion Models Teruyuki Katsuoka, Tomohiro Shiraishi (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2024-9 IBISML2024-9 |
In recent years, there has been active research on anomaly detection using diffusion models, which are generative models... [more] | NC2024-9 IBISML2024-9 pp.60-66 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:50 |
Okinawa | OIST | Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.) NC2024-10 IBISML2024-10 |
In machine learning, handling large datasets has been problematic in computational resources. For this issue, safe sampl... [more] | NC2024-10 IBISML2024-10 pp.67-72 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 16:30 |
Okinawa | OIST | Performance Evaluation of Quantized MLP-Mixer Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) NC2024-11 IBISML2024-11 |
MLP-Mixer is an image classification model consisting only of multi-layer perceptrons, and is competitive with the lates... [more] | NC2024-11 IBISML2024-11 pp.73-78 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 16:55 |
Okinawa | OIST | Causal Structure Learning for Zero-Inflated Data Based on Bayes Code Masatoshi Kobayashi, Yuta Kuboki, Shin Matsushima (UTokyo) NC2024-12 IBISML2024-12 |
In this paper, we propose a method for statistically inferring causal relationships between variables in zero-inflated m... [more] | NC2024-12 IBISML2024-12 pp.79-84 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 09:25 |
Okinawa | OIST | NC2024-13 IBISML2024-13 |
(To be available after the conference date) [more] | NC2024-13 IBISML2024-13 pp.85-89 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 09:50 |
Okinawa | OIST | NC2024-14 IBISML2024-14 |
(To be available after the conference date) [more] | NC2024-14 IBISML2024-14 pp.90-93 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 10:15 |
Okinawa | OIST | NC2024-15 IBISML2024-15 |
[more] | NC2024-15 IBISML2024-15 pp.94-97 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 10:55 |
Okinawa | OIST | Analysis of the model selection method sBIC with learning coefficients and its applications Keita Yamazaki, Tomoyasu Ohba, Haru Kobayashi, Kyousuke Shimizu (Nihon Univ.), Daisuke Kaji (DENSO), Miki Aoyagi (Nihon Univ.) NC2024-16 IBISML2024-16 |
In recent years, it has been demonstrated that the asymptotic behaviors of generalization error, empirical error, and fr... [more] | NC2024-16 IBISML2024-16 pp.98-104 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 11:20 |
Okinawa | OIST | Model selection of Gaussian Mixture Model on hyperbolic space based on MDL principle Kota Fukuzawa (UTokyo), Atsushi Suzuki (KCL), Kenji Yamanishi (UTokyo) NC2024-17 IBISML2024-17 |
In recent years, hyperbolic space has garnered attention as a latent space suitable for graph embedding. In this study, ... [more] | NC2024-17 IBISML2024-17 pp.105-112 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 11:45 |
Okinawa | OIST | Analysis of optimal model selection methods for a variety of datasets Arashi Ogata, Kazuki Oikawa (NTT) NC2024-18 IBISML2024-18 |
As the application of AI expands, more and more AI models are being generated for datasets with various domains and comp... [more] | NC2024-18 IBISML2024-18 pp.113-120 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 13:30 |
Okinawa | OIST | Development and Evaluation of a System to Analyze Acceleration and GPS Data for Visualizing the City Bus Behavior by Mapping into the Routes in the Map toward an Extraction of Rules of Decision-Making by Expert Bus Drivers Takahiro Koga, Jargal Davaanyam, Choisuren Purevdorj (Kyutech), Masayuki Fujiwara (Komatsu Univ.), Tomoki Taniguchi, Al Aama Obada, Hakaru Tamukoh, Hiroaki Wagatsuma (Kyutech) NC2024-19 IBISML2024-19 |
In the present study, we designed an experimental procedure to examine skilled bus drivers in fields in real roads and s... [more] | NC2024-19 IBISML2024-19 pp.121-128 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 13:55 |
Okinawa | OIST | An Applicability of the Logit Model to Analyze the Share Ratio Between Railway and Road Transportation in the Logistic Circumstances in Korea Kazuhito Mine, Ahmad Altaweel (Kyutech), Bo-Young Lee, Han-Na Kim, Jang-Sok Yoon (LRK), Hiroaki Wagatsuma (Kyutech) NC2024-20 IBISML2024-20 |
[more] | NC2024-20 IBISML2024-20 pp.129-135 |
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