Papers - Okada Yoshifumi

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  1. Cake Moisture Estimation Based on Image Analysis and Regression Model for Controlling the Compression Time of Filter Press in Sludge Dewatering

    Poltak Sandro Rumahorbo, Nobuhiro Yazawa, Hiroki Ito, Jun Sugimoto, Satoshi Kondo, Yoshifumi Okada, Kazuhiko Sato, Warut Timprae, Shinya Watanabe，Processes，vol.13，(6)，Article Number:1919，2025.06

  2. CNDD-Net: A Lightweight Attention-Based Convolutional Neural Network for Classifying Corn Nutritional Deficiencies and Leaf Diseases

    Suresh Timilsina, Sandhya Sharma, Samir Gnawali, Kazuhiko Sato, Yoshifumi Okada, Shinya Watanabe, Satoshi Kondo，electronics，vol.14，(7)，2025.04

  3. Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images

    Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, and Yoshifumi Okada，Technologies，vol.13，(4)，2025.03

  4. Toward Personal Identification Using Multi-Angle-Captured Ear Images: A Feasibility Study

    Ryuhi Fukuda, Yuto Yokoyanagi, Chotirose Prathom, and Yoshifumi Okada，Applied Sciences，vol.15，(6)，2025.03

  5. Development of Efficient and Robust Linkage Pattern Mining for Multiple Sequential Data

    Kyosuke Maeda, Issei Yokota, Yoshifumi Okada, and Saerom Lee，IAENG International Journal of Computer Science，vol.52，(1)，(p.223 ～ 232)，2025.01

  6. Developing an Alert System for Agricultural Protection: Sika Deer Detection Using Raspberry Pi

    Sandhya Sharma, Buchaputara Pansri, Suresh Timilsina, Bishnu Prasad Gautam, Yoshifumi Okada, Shinya Watanabe,Satoshi Kondo, Kazuhiko Sato，electronics，vol.13，(23)，2024.12

  7. Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPS

    Itsuki Toyoshima, Yoshifumi Okada, Momoko Ishimaru, Ryunosuke Uchiyama, and Mayu Tada，Sensors，vol.23，(3)，2023.02

  8. A New Regression Model for Depression Severity Prediction Based on Correlation among Audio Features Using a Graph Convolutional Neural Network

    1) Momoko Ishimaru, Yoshifumi Okada, Ryunosuke Uchiyama, Ryo Horiguchi, and Itsuki Toyoshima，Diagnostics，vol.13，(4)，2023.02

  9. Classification of Depression and Its Severity Based on Multiple Audio Features Using a Graphical Convolutional Neural Network

    Momoko Ishimaru, Yoshifumi Okada, Ryunosuke Uchiyama, Ryo Horiguchi, Itsuki Toyoshima，International Journal of Environmental Research and Public Health，vol.20，(2)，2023.01

  10. Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review

    Vivat Thongchotchat, Yasuo Kudo, Yoshifumi Okada, and Kazuhiko Sato，IEEE Access，vol.11，(p.8988 ～ 8999)，2023.01

  11. End-to-End Convolutional Neural Network Model to Detect and Localize Myocardial Infarction Using 12-Lead ECG Images without Preprocessing

    Ryunosuke Uchiyama, Yoshifumi Okada, Ryuya Kakizaki and Sekito Tomioka，Bioengineering-Basel，vol.9，(9)，2022.09

  12. Identifying Voice Individuality Unaffected by Age-Related Voice Changes during Adolescence

    Natsumi Suzuki, Momoko Ishimaru, Itsuki Toyoshima, and Yoshifumi Okada. ，Sensors，vol.22，(4)，2022.02

  13. Missing Value Imputation Method for Multiclass Matrix Data Based on Closed Itemset

    Mayu Tada, Natsumi Suzuki, and Yoshifumi Okada，Entropy，vol.24，(2)，2022.02

  14. An Association Analysis of Shop Owners' Mental Factors for Introducing Mobile Payment Systems

    Zijie Zhang, Tanapun Srichanthamit, Ponnapa Musikapun, Yoshifumi Okada, Hidetsugu Suto，The Transactions of Human Interface Society，vol.23，(4)，(p.481 ～ 488)，2021.11

  15. Linkage Pattern Mining using Interval and Order of Pattern Appearance

    Saerom Lee, Kaiji Sugimoto, and Yoshifumi Okada，IAENG International Journal of Computer Science，vol.46，(4)，(p.691 ～ 698)，2019.11

  16. Detection and localization of myocardial infarction based on a convolutional autoencoder

    Kaiji Sugimoto, Yudai Kon, Saerom Lee, and Yoshifumi Okada，Knowledge-based systems，vol.178，(p.123 ～ 131)，2019.08

  17. A Recommender System based on an Improved Simultaneous Selection Method of Query Items and Neighbors

    Koki Miura, Mitsuru Takeuchi, and Yoshifumi Okada， IAENG International Journal of Computer Science，vol.43，(4)，(p.406 ～ 410)，2016.11

  18. Linkage Pattern Mining Method for Multiple Sequential Data with Noise

    Saerom Lee, Takahiro Miura, Yusuke Okubo, and Yoshifumi Okada，IAENG International journal of computer science，vol.42，(4)，(p.361 ～ 367)，2015.11

  19. 主体的学習を促す「与えない」演習の実践

    佐藤和彦，倉重健太郎，寺本渉，岡田吉史，工藤康生，佐賀聡人，工学教育，vol.61，(3)，(p.56 ～ 61)，2013.05

  20. Detection of Linkage Patterns Repeating across Multiple Sequential Data

    Takahiro Miura and Yoshifumi Okada，International journal of computer applications，vol.63，(3)，(p.14 ～ 17)，2013.02

  21. A Virtual Reality Atelier for VR Software Development and Its Application to Problem-Based Learning

    佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人，Japan Society for Educational Technology，vol.35，(4)，(p.389 ～ 398)，2012.03

  22. Implementation and evaluation of visualized software development exercising to increase student's motivation

    佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人，Computer&Education，vol.31，(p.94 ～ 99)，2011.12

  23. LEAF: Leave-one-out Forward Selection Method for Informative Gene Discovery in DNA Microarray Data

    Kentaro Fukuta and Yoshifumi Okada，IAENG International Journalof Computer Science，vol.38，(2)，(p.160 ～ 167)，2011.07

  24. Heuristic method for discovering biomarker candidates based on rough set theory

    Yasuo Kudo and Yoshifumi Okada，Bioinformation，vol.6，(5)，(p.200 ～ 203)，2011.06

  25. A Novel Gene Analysis Method for Biomarker Mining in DNA Microarray Data

    Kentaro Fukuta, Tomomasa Nagashima, Takashi Uozumi and Yoshifumi Okada，International Journal of Computer Information Systems and Industrial Management Applications，vol.3，(p.256 ～ 263)，2011.03

  26. Audio Classification Based on Closed Itemset Mining Algorithm

    Yoshifumi Okada, Takahiro Tada, Kentaro Fukuta and Tomomasa Nagashima，International Journal of Computer Information Systems and Industrial Management Applications，vol.3，(p.159 ～ 164)，2011.03

  27. An Efficient Method for Relating Various HumanImpressions to Physical Features, International Journal of Computer Information Systems and Industrial Management

    Masahiro Sawai, Yoshifumi Okada, Tomomasa Nagashima，International Journal of Computer Information Systems and Industrial Management Applications，vol.3，(p.137 ～ 142)，2011.03

  28. A New Approach toAssociating Human Impressions with Physical Features

    Masahiro Sawai, Yoshifumi Okada and Tomomasa Nagashima，International Journal of Computer Applications，vol.6，(2)，(p.26 ～ 29)，2010.09

  29. Statistical method for classifying cries of baby based on pattern recognition of power spectrum

    Xinping Wang, Tomomasa Nagashima, Kentarou Fukuta, Yoshifumi Okada, Masahiro Sawai, Hidenori Tanaka and Takashi Uozumi，International Journal of Biometrics，vol.2，(2)，(p.113 ～ 123)，2010.03

  30. Identification of differentially expressed gene modules between two-class DNA microarray data

    Yoshifumi Okada and Terufumi Inoue，Bioinformation，vol.4，(4)，(p.134 ～ 137)，2009.10

  31. GEMIND: gene expression module database for human mentality

    Yoshifumi Okada and Masahiro Sawai，The Journal of Three Dimensional Images，vol.23，(3)，(p.30 ～ 35)，2009.10

  32. High-Performance Gene Expression Module Analysis Tool and Its Application to Chemical Toxicity Data

    Wataru Fujibuchi, Hyeryung Kim, Yoshifumi Okada, Takeaki Taniguchi, and Hideko Sone，Methods in Molecular Biology，vol.577，(p.55 ～ 65)，2009.09

  33. Accurate and robust gene selection for disease classification using a simple statistic

    Hikaru Mutsubayashi, Seiichiro Aso, Tomomasa Nagashima and Yoshifumi Okada，Bioinformation，vol.3，(2)，(p.68 ～ 71)，2008.10

  34. Exhaustive Search Method of Gene Expression Modules and Its Application to Human TissueData

    Yoshifumi Okada・Wataru Fujibuchi，IAENG International Journal of Computer Science，vol.34，(Issue 1)，(p.119 ～ 126)，2007.08

  35. Preference description system using evaluation documents on Web

    澤井政宏・岡田吉史・長島知正，Japan Society of Kansei Engineering，vol.7，(1)，(p.127 ～ 135)，2007.05

  36. A biclustering method for gene expression module discovery using closed itemset enumeration algorithm

    Yoshifumi Okada・Wataru Fujibuchi・Paul Horton，IPSJ Transactions on Bioinformatics，vol.48，(SIG 5(TBIO2))，(p.39 ～ 48)，2007.05

  37. Music artist recommendation system based on user's tastes

    岡田吉史・澤井政宏・楠芳之・長島知正，Journal of Japan Society of Information and knowledge，vol.15，(3)，(p.59 ～ 70)，2005

  38. Knowledge-assisted recognition of cluster boundaries in gene expression data

    Yoshifumi Okada・Takehiko Sahara・Hikaru Mitsubayashi・Satoru Ohgiya・Tomomasa Nagashima，Artificial Intelligence in Medicine，vol.35，(Issue 1-2)，(p.171 ～ 183)，2005

  39. Intelligent document retrieval system utilizing visualization of relations among scientific abstracts

    岡田吉史・野村収作・長島知正，Japan Society of Kansei Engineering，vol.2，(1)，(p.51 ～ 58)，2002

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