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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 09:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT)  MI2023-30 |
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] | MI2023-30 pp.1-2 |
| NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa | Okinawa Convention Center | Multimodal Object Recognition Method Using Bayesian Attractor Model For 3D Point Clouds and RGB Images Haruhito Ando, Daichi Kominami, Ryoga Seki, Masayuki Murata, Hideyuki Shimonishi (Osaka Univ.) NS2023-192 |
Beyond 5G/6G, technology is driving the development of digital twins. In recent years, the amount of information that ca... [more] | NS2023-192 pp.119-124 |
| MI | 2023-03-06 17:56 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2022-100 |
In pathological diagnosis of malignant lymphoma, a H&E-staind pathological image is observed to identify the subtype. Ho... [more] | MI2022-100 pp.123-124 |
| 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 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21 |
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] | NC2022-21 IBISML2022-21 pp.149-155 |
| IA, SITE, IPSJ-IOT [detail] | 2022-03-07 10:10 |
Kyoto | Kyoto University, Yoshida Campus (Primary: On-site, Secondary: Online) |
On the detectability of traffic reduction caused by QoS degradation Keisuke Ishibashi (ICU), Takumi Uchida (ComWorth) SITE2021-48 IA2021-61 |
In this paper, we discuss the possibility of detecting the event of traffic reduction due to QoS degradation. This event... [more] | SITE2021-48 IA2021-61 pp.15-18 |
| IN | 2022-01-18 13:00 |
Online | Online | Proposal of a Twitter account usefulness judgment system for job hunting measures for students Yuasa Takeo, Kunieda Yoshitoshi (Ritsumeikan Univ.) IN2021-26 |
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more] | IN2021-26 pp.13-18 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Proposal of classification method based on the usefulness of Twitter account in student job hunting Yuasa Takeo, Kunieda Yositosi (Ritsumeikan Univ) |
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more] | |
| CS, CQ (Joint) |
2021-05-14 11:15 |
Online | On-line | Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka, Kosuke Nogami (NEC) CQ2021-14 |
In order to realize the digital twin, it is desired to instantly identify various objects in the real world through sens... [more] | CQ2021-14 pp.59-64 |
| IBISML | 2021-03-04 14:40 |
Online | Online | IBISML2020-59 |
In the machine learning tasks where the training data is scarce, domain adaptation (DA) is a promising methodology that ... [more] | IBISML2020-59 p.78 |
| IA, IN (Joint) |
2018-12-13 14:45 |
Hiroshima | Hiroshima Univ. | Towards application of network topology information to network log causal anlaysis Satoru Kobayashi (NII), Kazuki Otomo (Univ. Tokyo), Kensuke Fukuda (NII) IA2018-40 |
To detect root causes of failures in large-scale networks, we need to extract contextual information from operational da... [more] | IA2018-40 pp.1-8 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] | IBISML2018-97 pp.397-402 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 10:00 |
Okinawa | Okinawa Institute of Science and Technology | A Supervised Learning Approach to Causal Inference for Bivariate Time Series Yoichi Chikahara, Akinori Fujino (NTT) IBISML2016-2 |
Causal inference in time series is a problem to estimate the underlying causal relationship between time-dependent varia... [more] | IBISML2016-2 pp.189-194 |
| TL | 2013-08-04 17:05 |
Osaka | Kwansei Gakuin University, Osaka Umeda Campus | Temporal distance between the cause and the effect affects the reading of causality sentences
-- Eye-tracking evidence -- Yingyi Luo, Manami Sato, Hiromu Sakai (Hiroshima Univ.) TL2013-40 |
Causal inference, a fundamental cognitive process with relatedness and temporal ordering of the events computed, can be ... [more] | TL2013-40 pp.139-144 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | A Method for Estimating Binary Data Generating Process Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65 |
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] | IBISML2011-65 pp.155-162 |
| SS | 2010-08-05 10:30 |
Hokkaido | Asahikawa Shimin-Bunka-Kaikan (Civic Culture Hall) | A Quantitative Approach for Predicting the Cause-effect Relationships between the Process Performances and the Software Quality in a Software Development Organization Yoshinori Itabashi (Panasonic Corp./JAIST), Koichiro Ochimizu (JAIST) SS2010-16 |
Generally, the empirical and qualitative methods are used to specify the effective processes in order to improve the sof... [more] | SS2010-16 pp.1-4 |
| IBISML | 2010-06-14 11:20 |
Tokyo | Takeda Hall, Univ. Tokyo | [Invited Talk]
Relational Data Mining on Causal Relations Between Variables Takashi Washio (Osaka Univ.) IBISML2010-3 |
Under development of sensing techniques to ease simultaneous measurements of many variables and features on objects, the... [more] | IBISML2010-3 p.5 |
| IBISML | 2010-06-15 15:50 |
Tokyo | Takeda Hall, Univ. Tokyo | Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-22 |
The discovery of non-linear causal relationship under additive non-Gaussian noise models has attracted considerable atte... [more] | IBISML2010-22 pp.147-153 |
| NC, MBE (Joint) |
2009-03-13 13:50 |
Tokyo | Tamagawa Univ. | Consumer Behavior Modeling Based on Large Scale Data and Cognitive Structures Tsukasa Ishigaki, Yoichi Motomura, Hei Chan (National Inst. of Adv Ind Sci and tech.) NC2008-157 |
Large scale data of human behavior records in daily life or shopping such as POS data can be observed by a development o... [more] | NC2008-157 pp.319-324 |
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