International conference proceedings - Okada Yoshifumi

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  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

  21. Extraction of Frequent Association Patterns Co-occurring across Multi-sequence Data

    Takahiro Miura and Yoshifumi Okada，Proc. of IMECS 2012，(p.452 ～ 455)，International Association of Engineers，2012.03，Hong Kong

  22. Iterative forward selection method based on cross-validation approach and its application to infant cry classification

    Yoshifumi Okada, Kentaro Fukuta and Tomomasa Nagashima，Proc. of the IMECS2011，vol.I，(p.49 ～ 52)，International Association for the Engineers，2011.03，Hong Kong

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

    Kentaro Fukuta and Yoshifumi Okada，Proc. of the IMECS2011，vol.I，(p.175 ～ 180)，International Association for the Engineers，2011.03，Hong Kong

  24. Gene Expression Data Analysis Using Heuristic Attribute Reduction in Rough Set Theory

    Yasuo Kudo and Yoshifumi Okada，Proc. of SCIS&ISIS 2010，(p.1574 ～ 1578)，Okayama university，2010.12，Okayama

  25. A novel biomarker mining method for identifying cancer genetic networks in gene expression data

    Kentaro Fukuta, Takashi Uozumi and YoshifumiOkada，Proc of the 2009 Int. Conf. on Humanized Systsems，vol.4，2010.10，Kyoto

  26. Audio classification based on a closed itemset mining algorithm

    Yoshifumi Okada, Takahiro Tada, Kentarou Fukuta and Tomomasa Nagashima，Proc. of the Computer Information Systems and Industrial Management Applications，(p.CD-ROM ～ )，2010.10，Krakow

  27. Gene analysis Framework for a Biomarker Mining

    Kentaro Fukuta, Tomomasa Nagashima, Takashi Uozumi and Yoshifumi Okada，Proc. of the Computer Information Systems and Industrial Management Applications，(p.CD-ROM ～ )，2010.10，Krakow

  28. An Efficient Method for Relating Various Human Impressions to Physical Features

    Masahiro Sawai, Yoshifumi Okada and Tomomasa Nagashima，Proc. of the Computer Information Systems and Industrial Management Applications，(p.CD-ROM ～ )，2010.10，Krakow

  29. LEAF: leave-one-out forward selection method for cancer classification using gene expression data

    Kentaro Fukuta, Yoshifumi Okada and Tomomasa Nagashima，Proc. of 9th IEEE/ACIS Int. Conf. on Computer and Information Science，(p.31 ～ 36)，2010.08，Yamagata

  30. Rule-based Classification for Audio Data Based on Closed Itemset Mining

    Takahiro Tada, Tomomasa Nagashima and Yoshifumi Okada，Proc. of IMECS2010，vol.CD-ROM，(p.163 ～ 167)，International Association for the Engineers，2010.03，Hong Kong

  31. Detection of Differentially Expressed Gene Modules in Humana Cancer

    Terufumi Inoue, Tomomasa Nagashima and Yoshifumi Okada，Proc. of 2009 Int. Symp. on Nonlinear Theory and its Applications，(p.608 ～ 611)，IEICE Japan，2009.10，Sapporo

  32. Effects of Odors on the Respiratory Metabolism during the Moderate Exercise by graphical modeling

    Hironobu Kamimura, Noriaki Kaneki, Kohji Shimada, Yoshifumi Okada,　Haruki Sasaki and Hiroshi Yamada，Proc. of 2009 Int. Conf. on Humanized Systems，(p.48 ～ 51)，Yonsei University，2009.10，Seoul

  33. Application of F-value to classification problems with numerous numbers of explanatory variables

    Tomomasa Nagashima, Yoshifumi Okada and Masahiro Sawai，Proc. of 2009 Int. Symp. on Nonlinear Theory and its Applications，(p.612 ～ 614)，IEICE Japan，2009.10，Sapporo

  34. Inferring Intention of Baby Through Cry - Characterization of Painful Cry

    T. Nagashima, X. Wang, K. Fukuta, M. Sawaiand Y. Okada，Proc. of 2009 Int. Conf. on Humanized Systems，(p.52 ～ 53)，Yonsei University，2009.10，Seoul

  35. Discriminative Gene Module Analysis for Two-Class DNA Microarray Data and Its Application to Cancer Datasets

    Yoshifumi Okada, Terufumi Inoue and Tomomasa Nagashima，Proc. of 2009 Int. Conf. on Humanized Systems，(p.73 ～ 76)，Yonsei University，2009.10，Seoul

  36. Extraction of Discriminative Gene Modules between Two-Class DNA Microarray Data and Its Application to Chronic Loneliness Patients' Dataset

    Yoshifumi Okada, Terufumi Inoue and Tomomasa Nagashima，Proc. of 2009 International Conference on Biometrics and Kansei Engineering，(p.CD-ROM ～ )，The Inst. of Electrical and Electronics Engineers，2009.06，Cieszyn

  37. Applicability of F-value to Classification Problems with a Numerous Number of Explanatory Variables: Toward Classification Problems in Biometric and Kansei Engineering

    Tomomasa Nagashima, Xinping Wang, Yoshifumi Okada and Masahiro Sawai，Proc. of 2009 International Conference on Biometrics and Kansei Engineering，(p.CD-ROM ～ )，The Inst. of Electrical and Electronics Engineers，2009.06，Cieszyn

  38. A Study about Recommendation Based on Underlying Desires

    Masahiro Sawai, Yoshifumi Okada, Tomomasa Nagashima and Hiroshi Kubo，Proc. of 2009 International Conference on Biometrics and Kansei Engineering，vol.CD-ROM，The Inst. of Electrical and Electronics Engineers，2009.06，Cieszyn

  39. Automatic construction of relation between physical characteristics and impressions using text mining

    Masahiro Sawai, Hiroshi Kubo, Tomomasa Nagashima and Yoshifumi Okada，Proc. of th 2nd Int. Conf. on Kansei Engineering and Affective Systems，vol.2，(p.153 ～ 156)，Nagaoka Univ. of Tech.，2008.11，Nigata

  40. Frame of Mind and Genetic Response: Approach from Bioinformatics toward Exploring Functional Genes Induced by Chronic Loneliness

    Yoshifumi Okada and Masahiro Sawai，Proc. of th 2nd Int. Conf. on Kansei Engineering and Affective Systems，vol.2，(p.213 ～ 218)，Nagaoka Univ. of Tech.，2008.11，Nigata

  41. Anatomical Study of Images: Similarity of Images to Pattern- Recognition and Evaluation - Some consideration of on the foundation of Kansei Informatics

    Tomomasa Nagashima and Yoshifumi Okada，Proc. of 2008 Int. Conf. on Humanized Systems，(p.11 ～ 12)，Posts&Telecom Press，2008.10，Beijing

  42. A new approach for rlationship analysis between physical characteristics of sound and impressions

    Yoshifumi Okada, Masahiro Sawai, Hiroshi Kubo and Tomomasa Nagashima，Proc. of 2008 Int. Conf. on Humanized Systems，(p.47 ～ 50)，Posts&Telecom Press，2008.10，Beijing

  43. SAMURAI: a tool for gene expression module mining

    Yoshifumi Okada・Wataru Fujibuchi，Proc. of the 2007 Annual Conference of Japancese Society for Bioinformatics，Japancese Society for Bioinformatics，2007.12，Tokyo

  44. Global and local similarity searches of gene expression data

    Wataru Fujibuchi・Yoshifumi Okada・Paul Horton，Proc. of the 2007 Annual Conference of Japancese Society for Bioinformatics，Japanese Society for Bioinformatics，2007.12，Tokyo

  45. Mining a large-scale microarray database for similar gene expression modules to find distant relations between Down syndrome and Huntington disease

    Yoshifumi Okada・Wataru Fujibuchi，Proc. of the 7th Int. Conf. for the Critical Assessment of Microarray Data Analysis (CAMDA 2007)，2007.09，Valencia

  46. Exhaustive search of maximal biclusters in gene expression data

    Yoshifumi Okada・Wataru Fujibuchi・Paul Horton，Proc. of the 2007 IAENG Int. Conf. on Bioinformatics，(p.CD-ROM ～ )，International Association of Engineers，2007.03，Hong Kong

  47. Cell typing by expression profile: A new look at an old problem

    Larisa Kiseleva・Yoshifumi Okada・Wataru Fujibuchi・Paul Horton，Proc. of the 10th annual Int. Conf. on Research in Computational Molecular Biology (RECOMB)，2006，Venice Lido

  48. Module discovery in gene expression data using closed itemset mining algorithm

    Yoshifumi Okada・Wataru Fujibuchi・Paul Horton，Proc. of the 17th Int. Conf. on Genome Informatics，vol.17，(2)，(p.21 ～ 22)，Universal Academy Press，2006，Yokohama

  49. Identification of genes specific for morphologically and embryologically distinct tissues

    Yoshifumi Okada・Larisa Kiseleva・Wataru Fujibuchi・Paul Horton，CSHL meeting on Systems Biology: Global Regulation of Gene Expression，Cold Spring Harbor Laboratory，2006，New York

  50. Detection of cluster boundary in microarray data by reference to MIPSfunctional catalogue database

    Yoshifumi Okada・Takehiko Sahara・Satoru Ohgiya・Tomomasa Nagashima，Proc. of The 16th Int. Conf. on Genome Informatics，vol.16，(2)，(p.57(1)1-57(2) ～ )，Japanese Society for Bioinformatics，2005，Yokohama

  51. Recommendation system based on association rules reflecting user's preference

    Masahiro Sawai・Yoshifumi Okada・Tomomasa Nagashima，Proc. of the Int. Symp. on Humanized Systems，2005，Wukan

  52. Computer analysis of the genetic responses to environmental stresses based on DNA microarray data

    Yoshifumi Okada・Shingo Hirose・Shinya Yoshihara・Tomomasa Nagashima，Proc. of the 8th world multi-conference on Systematics， Cybernetics and Informatics，(p.CD-ROM ～ )，2004，Orland

  53. Music artist retrieval system based on user's taste

    Yoshifumi Okada・Masahiro Sawai・Jun-ichi Yatsuyanagi・Tatsuya Tamaru・Yoshiyuki Kusunoki・Tomomasa Nagashima，Proc. of the 6th Asian design Int. Conf. on Integration of Knowledge，Kansei， and Industrial Power，vol.1，(p.CD-ROM ～ )，Asian Society for the Science of Design，2003，Tsukuba

  54. Intelligent document retrieval systemenabling to extract dominant sentences in any system-generated clustered documents

    Yoshifumi Okada・Manabu Matsumura・Shusaku Nomura・Tomomasa Nagashima，Proc. of the Int. Symp. Toward a Development of KANSEI Technology，(p.203 ～ 206)，SVBL Muroran Institute of Technology，2001，Muroran

  55. Effects of manipulating sleep-wake cycle to sleep consolidation

    Shusaku Nomura・Yoshiyuki Kusunoki・Hiroshi Ono・Yoshifumi Okada・Tomomasa Nagashima，Proc. of the Int. Symp. Toward a Development of KANSEI Technology，vol.1，(1)，(p.87 ～ 90)，SVBL Muroran Institute of Technology，2001，Muroran

  56. Automatic collection of functional sequence based on annotations in the GenBank entry

    Yoshifumi Okada・Tomomasa Nagashima，Proc. of the 11th Int. Conf. on Genome Informatics (GIW2000)，vol.11，(1)，(p.438 ～ 439)，Japancese Society for Bioinformatics，2000，Tokyo

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