Publication

Journal Paper

1. Park Insung, Kokudo Chihiro, Seol Jaehoon, Ishihara Asuka, Zhang Simeng, Uchizawa Akiko, Osumi Haruka, Miyamoto Ryusuke, Horie Kazumasa, Suzuki Chihiro, Suzuki Yoko, Okura Tomohiro, Diaz Javier, Vogt Kaspar E., Tokuyama Kumpei, “Instability of non-REM sleep in older women evaluated by sleep-stage transition and envelope analyses,” Frontiers in Aging Neuroscience, Vol. 14, 12 pages, 2022.

2. Kazumasa Horie, Leo Ota, Ryusuke Miyamoto, Takashi Abe, Yoko Suzuki, FusaeKawana, Toshio Kokubo, Masashi Yanagisawa, and Hiroyuki Kitagawa, “Automated Sleep Stage Scoring Employing a Reasoning Mechanism and Evaluation of its Explainability,” Scientific Reports, nature research, 19 pages, 2022.

3. Tianxiang Gao, Jiayi Li, Yuji Watanabe, Chijung Hung, Akihiro Yamanaka, Kazumasa Horie, Masashi Yanagisawa, Masahiro Ohsawa, Kazuhiko Kume, “GI-SleepNet: A Highly Versatile Image-Based Sleep Classification Using a Deep Learning Algorithm,” Clocks Sleep Vol. 3, No. 4, pp.581-597, 2021.

4. Yamabe, M., Horie, K.*, Shiokawa, H., Funato, M., Yanagisawa, M. and Kitagawa, H.(2019): MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks, Scientific Reports,  9, Article Number 15793, 12 pages. 

5. Ichiba, T., Horie, K., Someno, S., Aki, T. and Morita, M.(2019): Application of the Selective Desensitization Neural Network to Concept Drift Problems, Journal of Signal Processing, 23, 4, 145-149.  (The original is the following conference proceeding, which won the student paper award in NCSP'19. Ichiba, T., Horie, K., Someno, S., Aki, T. and Morita, M.(2019): Application of the Selective Desensitization Neural Network to Concept Drift Problems, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 4 pages, Honolulu.)

6. 染野翔一，堀江和正，森田昌彦(2019): 選択的不感化ニューラルネットによる特徴量の有効性の分析，電子情報通信学会論文誌(D), J102-D, 8, 567-574.

7. 堀江和正，末光厚夫，丹野智博，森田昌彦(2016): 選択的不感化ニューラルネットによる表面筋電位からの手首関節角速度推定， 電子情報通信学会論文誌(D), J99-D, 6, 617-629. 

8. Tanno, T., Horie, K., Kobayashi T. and Morita, M. (2015): Effect of pattern coding on pattern classification neural networks, International Journal of Machine Learning and Computing, 5, 4, 339-343.  

9. Horie, K., Suemitsu, A. and Morita, M. (2014): Direct estimation of hand motion speed from surface electromyograms using a selective desensitization neural network, Journal of Signal Processing, 18, 225-228. (The original is the following conference proceeding, which won the student paper award in NCSP'14. Horie, K., Suemitsu, A. and Morita, M. (2014): Direct estimation of hand motion speed from surface EMG using selective desensitization neural network, 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, No.89, 4 pages, Honolulu.)

Proceedings of International Conferences

1. Harada, R., Kume, K., Horie, K., Nakayama, T., Inagaki, Y., Amagasa, T. (2023): AtLASS: A scheme for end-to-end prediction of splice sites using attention-based bi-LSTM, IPSJ Transactions on Bioinformatics, 8 pages.

2. Ogino, N., Horie, K., and Kitagawa, H. (2020): Semantic Image Synthesis of Complicated Objects using Line-drawing, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 4 pages, Honolulu.

3. Sumiya, Y., Horie, K. and Kitagawa, H. (2019): NR-GAN: Noise Reduction GAN for Mice Electroencephalogram Signals,  2019 4th International Conference on Biomedical Imaging, Signal Processing (ICBSP2019), 8 pages, Nagoya.

4. Someno, S., Horie, K., Ichiba, T., Aki, T. and Morita, M. (2019): Improving time series prediction by the selective desensitization neural network based on synaptic weight analysis, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 4 pages, Honolulu.

5. Tanno, T., Horie, K., Izawa, J. and Morita, M. (2017): Robustness of selective desensitization perceptron against irrelevant and partially relevant features in pattern classification, Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou.

6. Horie, K., Suemitsu, A., Tanno, T. and Morita, M. (2016): Direct estimation of wrist joint angular velocities from surface EMGs by Using an SDNN function approximator, Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), Kyoto.

Awards

1. 堀江和正(2017): 平成28年度 研究科長表彰，筑波大学システム情報工学研究科.

2. Horie, K.(2014): The student paper award of NCSP'14, Research Institute of Signal Processing. 

Grant

1. 堀江和正，(2023-2024): 生体信号認識課題における被験者・計測状況を踏まえた深層学習処理の切替機構の開発，科研若手，計429万円．

2. 北川博之，天笠俊之，塩川浩昭，堀江和正，橋本武彦（Bou Savong），パーベイシブトレーサビリティを実現する複合的ビッグデータ処理基盤，科研基盤B，計1998万円．

3. 北川博之，阿部高志，堀江和正，(2022-2024):睡眠センシングストリーム基盤を用いた睡眠時のリアルタイム情動推定，科研挑戦的研究（萌芽），計499万円．

4. 阿部高志，堀江和正，(2020):レム睡眠中に発生する夢の情動性を脳波から解読する技術の開発，令和2年度共同研究実用化ブーストPJ，計100万円．

5. 北川博之，堀江和正，塩川浩昭(2019-2020): 深層学習による個人特性を反映した生体データの自動生成，科研挑戦的研究（萌芽），計637万円．

6. 堀江和正(2019-2021): 敵対的生成ネットワークを用いたノイズ除去手法の開発と生体信号への応用，科研若手，計429万円．

7. 北川博之，天笠俊之，塩川浩昭，早瀬康裕，堀江和正(2019-2022): 高水準仮想化機能をもつAugmentedリアルビッグデータ利活用基盤の構築，科研基盤B，計1434万円．

8. 森田昌彦，井澤淳，川崎真弘，堀江和正(2018-2022): 浅層ニューラルネットによる状況適応型学習技術の確立と個人支援システム等への応用，科研基盤B，計650万円．

9. 堀江和正(2015-2017): 表面筋電位からの関節角速度推定及び筋電入力インタフェースへの応用，立石科学技術振興財団 研究助成（C），年間50万円.