International conference proceedings - Okada Yoshifumi

1. A hybrid model for arrhythmia classification based on Convolutional Neural Network and Extreme Learning Machine without ECG preprocessing

   Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato, Yoshifumi Okada，Proc. of AROB 30th 2025，2025.01

   

2. Tomato Phenotyping from Daily Video Footage Using 3D Reconstruction Point Cloud and Growth Status Assessment

   Warut Timprae, Stefan Baar, Satoshi Kondo, Yoshifumi Okada, Kazuhiko Sato, Shinya Watanabe，Proc. of AROB 30th 2025，2025.01

   

3. Filtrate Estimation from Filter Press Process in a Water Treatment Facility based on Image Analysis

   Poltak Sandro Rumahorbo, Stefan Baar, Satoshi Kondo, Nobuhiro Yazawa, Hiroki Ito, Jun Sugimoto, Yoshifumi Okada, Kazuhiko Sato, Shinya Watanabe，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，2024.11

   

4. Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model

   Kaiji Sugimoto, Saerom Lee, and Yoshifumi Okada，Proc. of IMECS2019，(p.184 ～ 187)，2019.03

   

5. Deep Learning-based Detection of Periodic Abnormal Waves in ECG Data

   Kaiji Sugimoto, Saerom Lee and Yoshifumi Okada，Proc of IMECS2018，2018.03，Hong Kong

   

6. Classification of Anger Emotion using Japanese Vowel

   Kaiji Sugimoto, Saerom Lee and Yoshifumi Okada，Proc. of ICBAKE2017，(p.33 ～ 36)，2017.09，Kyoto, Japan

   

7. Detection of Abnormal ECG Waveform Based on Linkage Pattern Mining

   Saerom Lee, Kaiji Sugimoto and Yoshifumi Okada，Proc. of ICBAKE2017，(p.37 ～ 41)，2017.09，Kyoto, Japan

   

8. Analyzing Relationship between Upper Body Poses and Emotions Using Multiple Regression Analysis

   Misaki Ogawa, Saerom Lee, and Yoshifumi Okada，Proc of IMECS2017，(p.157 ～ 160)，2017.03

   

9. Analysis of Individual Characteristics in Vowel Spectral Envelopes

   Renta Goto, Keita Misawa, and Yoshifumi Okada，Proc of IMECS2017，(p.113 ～ 116)，2017.03

   

10. Investigation of the Relationship between Upper Body Poses and Emotions Using the Evaluation Grid Method

    Misaki Ogawa, Saerom Lee, and Yoshifumi Okada，Proc of SCIS&ISIS2016，(p.200 ～ 203)，2016.08，北海道・札幌

    

11. Linkage Pattern Mining based on Causal Relationship

    Yusuke Okubo, Saerom Lee and Yoshifumi Okada，Proc. of IMECS2016，(p.69 ～ 72)，International Association of Engineers，2016.03，Hong Kong

    

12. Simultaneous Selection Method of Query Items and Neighbors in a Recommender System

    Koki Miura, Mitsuru Takeuchi, and Yoshifumi Okada，Proc. of IMECS2016，(p.36 ～ 39)，International Association of Engineers，2016.03，Hong Kong

    

13. Performance Evaluation of Linkage Pattern Mining Method

    Saerom Lee, Yusuke Okubo and Yoshifumi Okada，Proc. of the Int. Conf. on Electronics and Software Science，(p.27 ～ 34)，SDIWC Organization，2015.07，Takamatsu

    

14. A New Method for Improving the Performance of Linkage Pattern Mining

    Saerom Lee, Takahiro Miura and Yoshifumi Okada，Proc. of IMECS 2014，(p.36 ～ 40)，International Association of Engineers，2014.03，Hong Kong

    

15. On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis

    Yasuo Kudo, Yoshifumi Okada, and Tetsuya Murai，Brain and Health Informatics，(p.379 ～ 388)，Springer International Publishing，2013.10，Maebashi

    

16. Bicluster-Network Method and Its Application to Movie Recommendation

    Tatsuya Saito and Yoshifumi Okada，Proc. of 15th Int. Conf. KSE2013, Vol.2 Advances in Intelligent Systems and Computing Volume 245，vol.2，(p.147 ～ 153)，Springer International Publishing，2013.10，Hanoi

    

17. Item Recommendation by Query-based Biclustering Method

    Naoya Yokoyama and Yoshifumi Okada，Proc. of 15th Int. Conf. KSE2013, Vol.2，vol.2，(p.155 ～ 162)，Springer International Publishing，2013.10，Hanoi

    

18. Biclustering and its applications

    Yoshifumi Okada，Proc. of Optimization, Data Mining and Industrial Applications Using Soft Computing，(p.64 ～ 70)，Muroran Institute of Technology，2013.06，Muroran

    

19. Recommendation Method based on Rough set for Sequential Data

    Daisuke Nagakubo, Yasuo Kudo and Yoshifumi Okada，Proc. of IMECS 2013，(p.48 ～ 50)，International Association of Engineers，2013.03，Hong Kong

    

20. Recommendation Method Using Bicluster Network Method

    Tatsuya Saito and Yoshifumi Okada，Proc. of IMECS 2013，(p.85 ～ 88)，International Association of Engineers，2013.03，Hong Kong