KIMIAKI SHIRAHAMA

シラハマキミアキ | KIMIAKI SHIRAHAMA

Affiliation and department：
Job title： Assistant Professor
Homepage URL (2)： https://ccilab.doshisha.ac.jp/shirahama/ , https://ccilab.doshisha.ac.jp/shirahama/index_en.html

Research field (5)： Database science , Perceptual information processing , Perceptual information processing , Database science , Database science

Research keywords (4)： Sensor-based Human Activity Recognition , Data Mining , Machine Learning , Multimedia Information Processing

Research theme for competitive and other funds (8)：

2019 - 2023 Development of Multimodal Data Retrieval Engine Based on Human Cognitive System
2019 - 2022 Building a Video Search Engine based on the Perception of Spatio-temporal Relations
2015 - 2018 Cognitive Village: Adaptively Learning Technical Support System for Elderly
2014 - 2016 Development of Video Retrieval Engine by Using a Large-scale Video Corpus
2013 - 2015 High-level Motion Recognition Using Virtual Examples Created by Virtual Reality Technique

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Papers (91)：

Muhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, Xinyu Huang, Marcin Grzegorzek. A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. Sensors. 2023. 23. 19. 8234-8234
Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama. Embedding-Based Music Emotion Recognition Using Composite Loss. IEEE Access. 2023. 11. 36579-36604
Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet, Marcin Grzegorzek. Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. Sensors. 2023. 23. 7. 3446-3446
Philip Gouverneur, Frédéric Li, Kimiaki Shirahama, Luisa Luebke, Wacław M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek. Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. Sensors. 2023. 23. 4. 1959-1959
Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov. Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomedical Signal Processing and Control. 2023. 79. 104168-104168

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MISC (2)：

SHIRAHAMA KIMIAKI. Analyzing Economic Data Using Value-Based and Shape-Based Time-Series Similarity Measures. Journal of economics and business administration. 2011. 204. 5. 71-79
白浜公章. 時系列間の類似度測定に基づく経済データからの知識発見. 国民経済雑誌. 2009. 200. 6. 125-140

Books (3)：

Multimedia Data Mining and Knowledge Discovery (Valery A. Petrushin and Latifur Khan eds.)
Springer International Publishing 2015
A Time-constrained Sequential Pattern Mining for Extracting Semantic Events in Videos
Springer 2006
Mining Semantic Structures in Movies
Springer 2005

Lectures and oral presentations (66)：

CELP音声合成器とプロトタイプ分類器に基づく音声認識手法の小規模データに対する性能評価:子供音声への適用
(2024年電子情報通信学会総合大会情報・システムソサイエティ特別企画ジュニア&学生ポスターセッション 2024)
Model-based Reinforcement Learning by Predicting Various States through Latent Variable Editing
(The 2024 IEICE General Conference 2024)
Application of an Image Generative Model to the Visualization of Person’s Emotion Change in a Movie
(The 2024 IEICE General Conference 2024)
Improving Counterfactual Image Generation Using Perceptual Loss
(The 2024 IEICE General Conference 2024)
Counterfactual Image Generation by Detecting Question-critical Regions with Attention Mechanism
(2023)

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Education (4)：

2009 - 2011 Kobe University Graduate School of Engineering Doctor Course (External Student)
2005 - 2007 Kobe University Graduate School of Science and Technology Doctor Course
2003 - 2005 Kobe University Graduate School of Science and Technology Master Course
1998 - 2003 Kobe University Faculty of Engineering Department of Computer Science and Systems Engineering

Professional career (1)：

Doctor of Engineering (Kobe University)

Work history (7)：

2023/04 - 現在 Doshisha University Faculty of Science and Engineering Department of Information Systems Design Associate Professor
2022/04 - 2023/03 Kindai University Faculty of Informatics Department of Informatics Associate Professor
2018/04 - 2022/03 Kindai University Department of Informatics Associate Professor
2015/06 - 2018/03 University of Siegen Pattern Recognition Group Experienced Postdoc Researcher
2013/06 - 2015/05 Japan Society for the Promotion of Science (JSPS) JSPS Postdoctoral Fellowships for Research Abroad

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Committee career (5)：

2018/06 - 2018/06 The Sixth International Conference on Information Technology in Biomedicine (ITIB 2018) Program Committee
2016/06 - 2016/06 The 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016) Program Committee
2016/02 - 2016/02 The Eighth International Conferences on Advances in Multimedia (MMEDIA 2016) Technical Program Committee
2015/04 - 2015/04 The Seventh International Conferences on Advances in Multimedia (MMEDIA 2015) Technical Program Committee
2012/12 - 2012/12 The 2010 International Conference on Science & Social Science Research (CSSR 2010) Program Committee

Awards (7)：

2023/11 - National Institute of Standards and Technology (NIST) Top performance at TRECVID 2023 Medical Instructional Question Generation (MIQG) task
2019/05 - Computers in Biology and Medicine journal CBM Honors Paper 2018 A general framework for sensor-based human activity recognition
2016/11 - National Institute of Standards and Technology (NIST) Second place at TRECVID 2016 Ad-hoc Video Search (AVS) task (manually-assisted)
2015/04 - International Academy, Research, and Industry Association (IARIA) Top paper Empowering Semantic Indexing with Focus of Attention
2014/04 - The Forth ACM International Conference on Multimedia Retrieval (ICMR 2014) Top paper Multimedia Event Detection Using Hidden Conditional Random Fields

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Association Membership(s) (5)：

ACM Special Interest Group on Multimedia (SIGMM) , ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) , THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS , INFORMATION PROCESSING SOCIETY OF JAPAN , THE INSTITUTE OF IMAGE INFORMATION AND TELEVISION ENGINEERS

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