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2017年9月17日～20日に中国 北京で開催されるIEEE ICIP2017に当研究室から以下の6件の発表が採択されました。
(1) Susumu Genma, Takahiro Ogawa, Miki Haseyama, “IMAGE RETRIEVAL BASED ON LRGA ALGORITHM AND RELEVANCE FEEDBACK FOR INSECT IDENTIFICATION”
(2) Akira Toyoda, Takahiro Ogawa, Miki Haseyama, “MVLFDA-BASED VIDEO PREFERENCE ESTIMATION USING COMPLEMENTARY PROPERTIES OF FEATURES”
(3) Shota Hamano, Takahiro Ogawa, Miki Haseyama, “TAG REFINEMENT BASED ON MULTILINGUAL TAG HIERARCHIES EXTRACTED FROM IMAGE FOLKSONOMY”
(4) Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “AUTOMATIC MARTIAN DUST STORM DETECTION VIA DECISION LEVEL FUSION BASED ON DEEP EXTREME LEARNING MACHINE”
(5) Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “AUTOMATIC ESTIMATION OF DETERIORATION LEVEL ON TRANSMISSION TOWERS VIA DEEP EXTREME LEARNING MACHINE BASED ON LOCAL RECEPTIVE FIELD”
(6) Kenta Ishihara, Takahiro Ogawa, Miki Haseyama, “DETECTION OF GASTRIC CANCER RISK FROM X-RAY IMAGES VIA PATCH-BASED CONVOLUTIONAL NEURAL NETWORK”
http://2017.ieeeicip.org/

2017年7月2日～5日に韓国釜山で開催のThe 32nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2017)に当研究室から投稿の以下の発表が採択されました。
(1) Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “Deterioration Level Estimation on Transmission Towers via Extreme Learning Machine based on Combination Use of Local Receptive Field and Principal Component Analysis”
(2) Naoki Saito, Takahiro Ogawa, Miki Haseyama, “Identification of Reliable Results for Rubber Material Property Estimation Using Scanning Electron Microscope Images and Mix Proportions”
(3) Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama, “Effectiveness Evaluation of Imaging Direction for Estimation of Gastritis Regions on Gastric X-ray Images”
(4) Kenta Ishihara, Takahiro Ogawa, Miki Haseyama, “Detection of Gastric Cancer Risk from X-ray Images via Soft Voting”
http://www.itc-cscc2017.org/

本年度4月より、当研究室長谷山教授が北海道大学 総長補佐(企画・経営室)に着任しました。
加えて、北海道大学院財育成本部 女性研究者支援室の室長に着任しました。
http://www.hokudai.ac.jp/introduction/gov/yakuin-hosa-meibo.html

土木工学及び建築工学のための情報科学に関する国際会議International Conference on Civil and Building Engineering Informatics (ICCBEI 2017)（開催日：April19-21, 2017, 開催地：台湾・台北）にて当研究室から以下3件の発表を行いました．
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Distress Classification of Class Imbalanced Data for Maintenance Inspection of Road Structures in Expressway
Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Retrieval of Similar Inspection Records using Deep Learning based Image Features in Expressway
Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Retrieval System of Similar Inspection Records for Support of Maintenance Inspection in Expressway and Discussions of Evaluation by Experienced Inspectors
なお，今年のICCBEIは「2017 Conference on Computer Applications in Civil and Hydraulic Engineering (CCACHE 2017)」との共催になっています

当研究室よりMULTIMEDIA TOOLS AND APPLICATIONS(IF=1.3311)に投稿していた、下の論文が採択されました。
Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama,
“Extracting Hierarchical Structure of Content Groups from Different Social Media Platforms Using Multiple Social Metadata,”
MULTIMEDIA TOOLS AND APPLICATIONS (Accepted for publication)
http://link.springer.com/journal/11042

当研究室より投稿し、採録が決定していた下記の論文がITE Transactions on Media Technology and Applicationsに掲載されました。
Sho Takahashi, Miki Haseyama: “A Method of Important Player Extraction Based on Link Analysis in Soccer Videos,” ITE Transactions on Media Technology and Applications, vol. 5, no.2, pp. 42-48, 2017.
https://www.jstage.jst.go.jp/browse/mta