Papers - HAMAGAMI Tomoki
about 122-
Discrimination of Ovarian Cancer Types using Vision Transformer in Multi-Modal MRI Images
Wang Mengyu, Osanai Nana, Miyagi Etsuko, Utsunomiya Daisuke, Hamagami Tomoki
電気学会論文誌Ｃ（電子・情報・システム部門誌） 145 ( 5 ) 539 - 547 2025.5
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電気学会 Joint Work
<p>Early detection and precise classification of ovarian cancer types remain significant challenges in clinical practice due to the complexity of MRI image interpretation and limited prior research specifically focused on type differentiation. To address this issue, we propose a Vision Transformer (ViT)-based framework capable of distinguishing ovarian cancer types by extracting both local and global features from MRI images.</p><p>Our approach uniquely leverages spatial relationships across image slices and incorporates multi-modal imaging features, facilitating a more comprehensive analysis. Unlike existing methods that focus primarily on binary classification of malignancy, our model provides fine-grained type discrimination. Experimental results demonstrate the effectiveness of our proposed method, with uni-modal (T2-weighted) imaging achieving an accuracy of 94.71%, while the multi-modal approach (combining T1- and T2-weighted images) achieves a remarkable 99.54% accuracy. This work represents a significant advancement in ovarian cancer diagnosis, with potential for improving early detection and personalized treatment planning.</p>
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Sperm Detection and Tracking Model Using HDE Transformer With Spatio-Temporal Deformable Attention for Sperm Analysis Automation
Shoui Kosuge, Tomoki Hamagami
IEEE Access 2025.3 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Single Work
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Dam Inflow Prediction Model using Self Low Rank Adaptation
Ikuma Sosuke, Jo Tei, Chin Yo, Fukai Hironobu, Takase Nobuaki, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 145 ( 2 ) 207 - 213 2025.2
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
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Soft intelligent systems based on stretchable hybrid devices integrated with machine learning
Isano, Y; Takaya, M; Kurotaki, Y; Matsuda, R; Miyake, Y; Takano, T; Isoda, Y; Hamagami, T; Kuribaya … Show more authors
Isano, Y; Takaya, M; Kurotaki, Y; Matsuda, R; Miyake, Y; Takano, T; Isoda, Y; Hamagami, T; Kuribayashi, K; Ota, H Hide authors
DEVICE 2 ( 9 ) 2024.9
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Estimation of Multi-Expert Sperm Assessments Using Video Recognition Based Model Trained by EMD Loss
Hayato Nakagawa; Takuro Fujii; Yasushi Yumura; and Tomoki Hamagami
IEEE Access 2024.8 [Reviewed]
Authorship：Last author, Corresponding author Language：English Publishing type：Research paper (scientific journal) Joint Work
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Document-to-Document Retrieval Using Self-Retrieval Learning and Automatic Keyword Extraction
Seki, Y; Hamagami, T
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2024.8 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
LUAN THANH TRINH, TOMOKI HAMAGAM
IEEE Access 12 78161 - 78172VOLUME 2024.5 [Reviewed]
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Single Work
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3D Ship Hull Design Direct Optimization Using Generative Adversarial Network
Luan Thanh Trinh, Tomoki Hamagami, and Naoya Okamoto
Journal of Advanced Computational Intelligence and Intelligent Informatics. 28 ( 3 ) 2024.5 [Reviewed]
Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Single Work
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3D Ship Hull Design Direct Optimization Using Generative Adversarial Network
Trinh, LT; Hamagami, T; Okamoto, N
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 28 ( 3 ) 693 - 703 2024.5
DOI Web of Science CiNii Research
Language：English Publishing type：Research paper (scientific journal) Publisher：富士技術出版株式会社 Joint Work
<p>The direct optimization of ship hull designs using deep learning algorithms is increasingly expected, as it proposes optimization directions for designers almost instantaneously, without relying on complex, time-consuming, and expensive hydrodynamic simulations. In this study, we proposed a GAN-based 3D ship hull design optimization method. We eliminated the dependence on hydrodynamic simulations by training a separate model to predict ship performance indicators. Instead of a standard discriminator, we applied a relativistic average discriminator to obtain better feedback regarding the anomalous designs. We add two new loss functions for the generator: one restricts design variability, and the other sets improvement targets using feedback from the performance estimation model. In addition, we propose a new training strategy to improve learning effectiveness and avoid instability during training. The experimental results show that our model can optimize the form factor by 5.251% while limiting the deterioration of other indicators and the variability of the ship hull design.</p>
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Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition
T Fujii, H Nakagawa, T Takeshima, Y Yumura, T Hamagami
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision 2024.1
Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Single Work
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Latent Denoising Diffusion GAN: Faster Sampling, Higher Image Quality
Trinh, LT; Hamagami, T
IEEE ACCESS 12 78161 - 78172 2024
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Motion Recognition System Based on Hard-Soft Hybrid Stretchable Devices and Machine Learning
Isano Yuji, Takaya Maika, Kurotaki Yuta, Matsuda Ryosuke, Miyake Yusuke, Takano Tamami, Isoda Yutak … Show more authors
Isano Yuji, Takaya Maika, Kurotaki Yuta, Matsuda Ryosuke, Miyake Yusuke, Takano Tamami, Isoda Yutaka, Hamagami Tomoki, Kuribayashi Kentaro, Ota Hiroki Hide authors
The Proceedings of Mechanical Engineering Congress, Japan 2024 ( 0 ) J224-03 2024
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：The Japan Society of Mechanical Engineers Joint Work
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Task Head to Reduce Domain Shift with a Noise Imposition Mechanism and Low Dimensional Features Following a Normal Distribution
Takuro FUJII, Tomoki HAMAGAMI
Journal of Information Processing 64 ( 12 ) 1668 - 1677 2023.12 [Reviewed]
Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal) Single Work
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今月の臨床 AIがもたらす産婦人科医療の変革 生殖医療 AIによる精子評価支援システムの開発
湯村 寧, 竹島 徹平, 濱上 知樹
臨床婦人科産科 77 ( 12 ) 1207 - 1215 2023.12
Language：The in addition, foreign language Publishing type：Research paper (scientific journal) Publisher：株式会社医学書院 Joint Work
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Ordinal Regression Based on the Distributional Distance for Tabular Data
Tajima Yoshiyuki, Hamagami Tomoki
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E106D ( 3 ) 357 - 364 2023.3 [Reviewed]
DOI Web of Science CiNii Research
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電子情報通信学会 Joint Work
<p>Ordinal regression is used to classify instances by considering ordinal relation between labels. Existing methods tend to decrease the accuracy when they adhere to the preservation of the ordinal relation. Therefore, we propose a distributional knowledge-based network (DK-net) that considers ordinal relation while maintaining high accuracy. DK-net focuses on image datasets. However, in industrial applications, one can find not only image data but also tabular data. In this study, we propose DK-neural oblivious decision ensemble (NODE), an improved version of DK-net for tabular data. DK-NODE uses NODE for feature extraction. In addition, we propose a method for adjusting the parameter that controls the degree of compliance with the ordinal relation. We experimented with three datasets: WineQuality, Abalone, and Eucalyptus dataset. The experiments showed that the proposed method achieved high accuracy and small MAE on three datasets. Notably, the proposed method had the smallest average MAE on all datasets.</p>
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AIがもたらす産婦人科医療の変革 生殖医療 AIによる精子評価支援システムの開発
湯村 寧, 濱上 知樹
臨床婦人科産科 77 1207 - 1215 2023
Language：The in addition, foreign language Publishing type：Research paper (scientific journal) Joint Work
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A New XGBoost Inference with Boundary Conditions in Real Estate Price Prediction
Iwai Koichi, Hamagami Tomoki
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 17 ( 11 ) 1613 - 1619 2022.7 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Reinforcement Learning for POMDP Environments Using State Representation with Reservoir Computing
Yamashita Kodai, Hamagami Tomoki
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 26 ( 4 ) 562 - 569 2022.7 [Reviewed]
DOI Web of Science CiNii Research
Language：English Publishing type：Research paper (scientific journal) Publisher：富士技術出版株式会社 Joint Work
<p>One of the challenges in reinforcement learning is regarding the partially observable Markov decision process (POMDP). In this case, an agent cannot observe the true state of the environment and perceive different states to be the same. Our proposed method uses the agent’s time-series information to deal with this imperfect perception problem. In particular, the proposed method uses reservoir computing to transform the time-series of observation information into a non-linear state. A typical model of reservoir computing, the echo state network (ESN), transforms raw observations into reservoir states. The proposed method is named dual ESNs reinforcement learning, which uses two ESNs specialized for observation and action information. The experimental results show the effectiveness of the proposed method in environments where imperfect perception problems occur.</p>
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Oishi Nobuya, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 142 ( 1 ) 100 - 107 2022.1 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
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Adversarial Inverse Reinforcement Learning to Estimate Policies from Multiple Experts
Yamashita Kodai, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 141 ( 12 ) 1405 - 1410 2021.12 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
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Learning Transferable Policy in Reinforcement Learning for Vehicle Velocity Tracking Control
Natsu Yukiya, Hamagami Tomoki, Kanke Masayasu, Yoshida Kento, Niwakawa Makoto
IEEJ Transactions on Electronics, Information and Systems 141 ( 12 ) 1492 - 1499 2021.12 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
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Classification Model Considering Misclassification Based on Distributional Distance Between Labels
Tajima Yoshiyuki, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 141 ( 9 ) 1048 - 1054 2021.9 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
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Bayesian Network Oriented Transfer Learning Method for Credit Scoring Model
Iwai Koichi, Akiyoshi Masanori, Hamagami Tomoki
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 16 ( 9 ) 1195 - 1202 2021.9 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Reservoir Computing for Scalable Hardware with Block-Based Neural Network
Lee Kundo, Hamagami Tomoki
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 16 ( 12 ) 1594 - 1602 2021.8 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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IEEJ Transactions on Industry Applications 141 ( 2 ) NL2_8 - NL2_8 2021.2
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Single Work
<p>We are working on intelligent systems engineering with AI for the realization of intelligent social systems and intelligent medical and care support systems. This article introduces these efforts and cases.</p>
Other Link： https://ci.nii.ac.jp/naid/130007979771
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Terms Completion based on Nonnegative Matrix Factorization for Care Planning Support System
Koki Hyodo, Tomoki Hamagami
62 ( 1 ) 369 - 377 2021.1 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
Other Link： http://id.nii.ac.jp/1001/00208905/
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Ordinal Regression Based on the Distributional Distance Between Labels
Tajima Yoshiyuki, Hamagami Tomoki
2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 1482 - 1488 2021 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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連載 FOCUS 〔シリーズ〕産婦人科と先端テクノロジー 人工知能(AI)の生殖補助医療への応用-精子探索・選別支援システムの開発
湯村 寧, 竹島 徹平, 黒田 晋之介, 山本 みずき, 佐々木 勇人, 濱上 知樹
臨床婦人科産科 74 ( 5 ) 505 - 510 2020.5
Language：The in addition, foreign language Publishing type：Research paper (scientific journal) Publisher：株式会社医学書院 Joint Work
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特集 専門医はもういらない? せまりくるAI時代 10.AIによる生殖補助医療
湯村 寧, 竹島 徹平, 黒田 晋之介, 山本 みずき, 佐々木 勇人, 濱上 知樹
産婦人科の実際 69 ( 5 ) 489 - 493 2020.5
Language：The in addition, foreign language Publishing type：Research paper (scientific journal) Publisher：金原出版 Joint Work
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Wave-making Resistance Estimation Through Deep Learning Considering the Distribution of Ship Figure
Li Xin, Arai Hiroshi, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 140 ( 3 ) 391 - 397 2020.3 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
<p>A method for the estimation of wave-making resistance from the hull form and Froude number through deep learning is proposed. At the same time, this research also gives a solution when the data are skewed, which solves the problem of low generalization performance. The reduction of wave-making resistance is an essential issue in hull form design. However, the estimation of wave-making resistance is a time-consuming task that depends on experimental measurements. To enable direct estimation of the wave resistance from hull form, deep learning, which enables end-to-end learning, is an effective approach. The proposed method has two phases. First, auto-encoders, which reduce the dimension of the offset and the profile data, are generated, while performing to the skewed offset data, use an improved sampling method. Subsequently, after the regularization of these data, a deep neural net for regression estimation of wave-making resistance is generated. The results of evaluation experiments show that the proposed method can estimate wave-making resistance with high precision.</p>
Other Link： https://ci.nii.ac.jp/naid/130007804400
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Block-Based Neural Network Optimization with Manageable Problem Space
Lee Kundo, Hamagami Tomoki
電気学会論文誌Ｃ（電子・情報・システム部門誌） 140 ( 1 ) 68 - 74 2020.1 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電気学会 Joint Work
<p>In this paper, a simple method based on Genetic Algorithm (GA) is proposed to evolve Block-Based Neural Network (BbNN) model. A BbNN consists of a 2-D array of memory-based modular component NNs with flexible structures and internal configuration that can be implemented in reconfigurable hardware such as a field programmable gate array (FPGA). The network structure and the weights are encoded in bit strings and globally optimized using the genetic operators. Asynchronous BbNN (ABbNN), which is a new model of BbNN, suggests high-performance BbNN by utilizing parallel computation and pipeline architecture. ABbNN's operating frequency is stable for all scales of the network, while conventional BbNN's is decreasing according to the network size. However, optimization by the genetic algorithm requires more iterations to find a solution with increasing problem space and the memory access in GA operation is one of the causes degrading the performance. ABbNN optimized with the proposed evolutionary algorithm is applied on general classifiers to verify the effectiveness with increasing problem space. The proposed method is confirmed by experimental investigations and compared with the conventional genetic algorithm.</p>
Other Link： https://ci.nii.ac.jp/naid/130007779188
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Structured Feature Derivation for Transfer Learning on Credit Scoring
Iwai Koichi, Akiyoshi Masanori, Hamagami Tomoki
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 818 - 823 2020 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Brock-Based Neural Network High Speed Optimization
Kundo Lee, Tomoki Hamagami
Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Ebolutionary Systemus 12 79 - 92 2019.12 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Sperm Detection with Robustness to Overlap of Distributions by using Adaptive Thresholded Boosting
Sasaki Hayato, Yamamoto Mizuki, Takeshima Teppei, Yumura Yasushi, Hamagami Tomoki
IEEJ Transactions on Electronics, Information and Systems 139 ( 12 ) 1461 - 1467 2019.12 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
<p>Automatic sperm detection is in high demand for supporting Testicular Sperm Extraction (TESE). On the other hand, detection of sperms in samples of TESE is difficult because there are a lot of germ cells resembling sperms. This paper realizes automatic sperm detection for TESE by using Adaptive Thresholded Boosting (ATBoost) which is robust to overlap of feature distributions between positive samples and negative samples. In this paper, we evaluated our sperm detection method in two stages from the view point of robustness to the overlap. First, we quantitatively evaluated the overlap of the feature distributions in TESE in the metric of Bayes error rate. Second, we evaluated robustness of our sperm detection method as for the overlap. These two results show that our sperm detection method is very effective for TESE.</p>
Other Link： https://ci.nii.ac.jp/naid/130007754486
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An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data
Xin Li, Tomoki Hamagami
Symposium on Intelligent and Evolutionary Systems 12 93 - 105 2019.12 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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High performance Block-Based Neural Network Model by pipelined parallel communication
Vol.139 ( 9 ) 1059 - 1065 2019.9 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
Other Link： https://doi.org/10.1541/ieejeiss.139.1059
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注目領域に基づいたCNNの特徴マップに対する正則化
足立一樹, 濱上知樹
電子情報通信学会 和文論文誌 D J102-D ( 3 ) 185 - 193 2019.3 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
DOI: 10.14923/transinfj.2018PDP0023
足立一樹, 濱上知樹
注目領域に基づいたCNNの特徴マップに対する正則化
電子情報通信学会 和文論文誌 D Vol.J102-D, No.3, pp.185-193 (2019.3) -
単語重みを用いたアソシエーション分析に基づく文書分類のための自動的クエリ拡張
安永 翼 , 山田 雄基 , 濱上 知樹
情報処理学会論文誌 60 ( 3 ) 880 - 889 2019.3 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
Permalink http://id.nii.ac.jp/1001/00195320/
安永 翼 , 山田 雄基 , 濱上 知樹
単語重みを用いたアソシエーション分析に基づく文書分類のための自動的クエリ拡張
情報処理学会論文誌,60(3),880-889 (2019-03-15) , 1882-7764 (2019.3)
(3月掲載のためまだDOIがついておらず、Permalinkとなっているが意味は同じ) -
検出率最適化のためのBoostingにおける適応的しきい値調整
佐々木勇人, 濱上知樹
電子情報通信学会論文誌 D J102-D ( 2 ) 68 - 78 2019.2 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
DOI: 10.14923/transinfj.2018JDP7036
佐々木勇人, 濱上知樹
検出率最適化のためのBoostingにおける適応的しきい値調整
電子情報通信学会論文誌 D Vol.J102-D No.2 pp.68-78 (2019.2) -
Improvement in estimation accuracy of impedance with electrical and ultrasonic multiimaging systems
Fumiya Hamatsu Akira Kimoto Tomoki Hamagami
Electronics and Communication in Japan 101 ( 8 ) 11 - 18 2018.8 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Theoretical adaptation of multiple rule-generation in XCS
Masaya Nakata, Will Browne, Tomoki Hamagami
GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference 482 - 489 2018.7 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Development of sperm searching system using artificial intelligence in assisted reproductive technology
Takeshima T., Kuroda S., Yamamoto M., Murase M., Yumura Y., Sasaki H., Hamagami T.
HUMAN REPRODUCTION 33 148 - 148 2018.7
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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電気・超音波マルチイメージングにおけるインピーダンス推定精度の向上
濱津文哉, 木本晃, 濱上知樹
電気学会論文誌Ｅ（センサ・マイクロマシン部門誌） 138 ( 3 ) 93 - 99 2018.3 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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HAMAGAMI Tomoki
The Journal of The Institute of Electrical Engineers of Japan 138 ( 5 ) 280 - 283 2018
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Single Work
Other Link： https://ci.nii.ac.jp/naid/130006729311
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HAMAGAMI Tomoki, OKAZAKI Masaya, KURIHARA Keisuke, YASUNAGA Tsubasa
The Journal of The Institute of Electrical Engineers of Japan 138 ( 3 ) 128 - 131 2018
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan Joint Work
Other Link： https://ci.nii.ac.jp/naid/130006406948
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Performance oriented Block-Based Neural Network Model by parallelized neighbor's communication
Lee Kundo, Hamagami Tomoki
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 1623 - 1628 2018
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Investigation about control of false positive rate for automatic sperm detection in assisted reproductive technology
Sasaki Hayato, Nakata Masaya, Yamamoto Mizuki, Takeshima Teppei, Yumura Yasushi, Hamagami Tomoki
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 1964 - 1969 2018
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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One-class Support Vector Machineを用いたクラス集合逐次作成法による回転機の異常検知
中尾浩二, 外山達斎, 林孝則, 堀貴雅, 濱上知樹
産業応用部門誌 137 ( 12 ) 858 - 865 2017.12 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Publisher：電気学会 Joint Work
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A call triage support system for emergency medical service using multiple random forests
T.Yasuda, Y.Yamada, F.Hamatsu, T.Hamgami
Transactions on Electrical and Electronic Engineering 12 S67 - S73 2017.12 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Effect of Parameter Sharing for Multimodal Deep Autoencoders
H.Sasaki, M.Nakata, F.Hamatsu, T.Hamagami
Proc. of IEEE SMC2017 2017.10
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem
Masaya Nakata and Tomoki Hamagami
Journal of Advanced Computational Intelligence and Intelligent Informatics 21 ( 5 ) 876 - 884 2017.9 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Publisher：Fuji Technology Press Ltd. Joint Work
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A rotating machinery fault sign detection method by using multi-level one-class SVMs
K.Nakao, T.Toyama, T.Hayashi, T.Hamagami
The international conference on electrical and engineering 2017.7
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Extraction of contours in ultrasound images using a particle filter with limited contour presence range
F.Hamatsu, T.Tanaka, T.Hamagami
The international conference on electrical and engineering 2017.7
Language：English Publishing type：Research paper (international conference proceedings) Publisher：F.Hamatsu, T.Tanaka, T.Hamagami Joint Work
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A ResearAbout Anomaly Detection Method for Multidimensional Time Series Data
X.Li, F.Hamatsu, T.Hamagami
Proc. On The international conference on electrical and engineerin 2017.7
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Theoretical XCS parameter settings of learning accurate classifiers
M.Nakata, W.Browne, T. Hamagami, K.Takadama
Proc. of GECCO2017 473 - 480 2017.7
Language：English Publishing type：Research paper (international conference proceedings) Publisher：ACM Joint Work
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Construction of visual codebook to speed up visual-based simultaneous localization and mapping
Hayato Sasaki, Fumiya Hamatsu, Tomoki Hamagami
Journal of International Council on Electrical _ _Engineering 7 2017.6
Language：English Publishing type：Research paper (scientific journal) Joint Work
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準エキスパート集団からのアンサンブル逆強化学習
冨田真司，濱津文哉，濱上知樹
電気学会電子情報システム部門論文誌C 137 ( 4 ) 667 - 673 2017.4 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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深層学習による小袖屏風画像の特徴分析
濱上知樹,澤田和人
人工知能学会誌 32 ( 3 ) 408 - 413 2017.4 [Reviewed] [Invited]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Construction of the severity decision system combining Balanced Random Forest and Decision Tree
Yuki Yamada, Fumiya Hamatsu, Tomoki Hamagami
Proc. of The International Conference on Electrical Engineering 2016 2016 ( 90530 ) 2016.7
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Construction of visual codebook for speeding up visual-based Simultaneous Localization and Mapping
Hayato Sasaki, Fumiya Hamatsu, Tomoki Hamagami
Proc. of The International Conference on Electrical Engineering 2016 2016 2016.7
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Examination of skill-based learning by inverse reinforcement learning using evolutionary process
Hiroaki Tsunekawa, Takuo Suzuki, Tomoki Hamagami
Proceedings of 2015 IEEE 9th International Conference on Intelligent Systems and Control 2015 ( 9 ) 2015.9
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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複雑ネットワークの指標値に基づくソフトウェア品質分析
中村光宏，濱上知樹
電気学会電子情報システム部門論文誌C 135 ( 5 ) 553 - 558 2015.5 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：電気学会 Joint Work
派生開発におけるソフトウェアシステムの品質メトリクスとして，複雑ネットワークの指標を用いた評価方法を提案した。母体となるシステムの複雑性を複数のネットワークメトリクスを組み合わせて評価することで，将来的なバグの発生数とリファクタリングによる改善効果を定量的に把握できるようになる。実際のプロジェクトのコードを用いた評価によって，従来のメトリクスでは評価できなかった改変時の変化をとらえることができるようになった。
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Structural classification and similarity measurement of malware
Hongbo Shi,Tomoki Hamagami, Katsunari Yoshioka,Haoyuan Xu,Kazuhiro Tobe,Shigeki Goto
IEEJ Transactions on Electrical and Electronic Engineering 9 ( 6 ) 621 - 632 2014.11 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Publisher：IEEJ Joint Work
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Context awareness by unit-type evolutionary Petri net for team medical care support
Takuo Suzuki, Tomoki Hamagami
IEEE International Conference on Systems, Man, and Cybernetics 2014 385 - 390 2014.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Intelligent Call Triage System with Algorithm Combining Decision-Tree and SVM
Soft Computing in Machine Learning 273 21 - 31 2014.3 [Reviewed] [Invited]
Language：English Publishing type：Research paper (scientific journal) Publisher：Springer Joint Work
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Fundamental study of inverse reinforcement learning from sub-experts in evolutionary process
Hiroaki Tsunekawa, Tomoki Hamagami
International Symposium on Artificial Life and Robotics 280 - 285 2014.1 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Transfer Learning for Q-learning by Using Similarity of Phase Structure in State Spaces
Masato Takeishi, Tomoki Hamagami
International Symposium on Artificial Life and Robotics GS11 ( 6 ) 2014.1 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Multi-agent base Restoration Algorithm for Power Distribution Network in Multiple Failure Cases
Kaori Tada,Tomoki Hamagami
Proc. of The International Conference on Electrical Engineering FP0597 210 - 215 2013.6 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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A new robust technique for constructing intelligent environment using video image
Naoki Someya, Tomoki Hamagami
The Journal of International Council on Electrical Engineering 3 ( 2 ) 187 - 191 2013.4 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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A Method for Classifying Packets into Network Flows Based on GHSOM
Shi Hongbo, Hamagami Tomoki, Xu Haoyuan, Yu Ping, Wu Yonghe
MOBILE NETWORKS & APPLICATIONS 17 ( 6 ) 730 - 739 2012.12 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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Genetic algorithm sampling the solution space selectively depending on difficulty of power distribution network restoration
Kato Yoshifumi, Hamagami Tomoki
ELECTRONICS AND COMMUNICATIONS IN JAPAN 95 ( 2 ) 16 - 24 2012.2 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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２層型契約ネットプロトコルを用いた配電系統事故復旧の分散処理システム
児玉優
電気学会電子情報システム部門論文誌C 130 ( 2 ) 201 - 208 2010.2 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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複数の位相変化量を用いる複素Profit Sharing
澁谷長史
計測自動制御学会論文誌 45 ( 11 ) 597 - 604 2009.11 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Cross-Layer Routing Method for the SCTPwith Multihoming MIPv6
ICST, Proc. on ACCESSNETS 2009 2009.11 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Multiplied Action Values for Complex-valued Reinforcement Learning
Proceedings of the International Conference on Electrical Engineering 2009 2009.7 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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複素数で表現された行動価値を用いるQ-learning
澁谷長史
電子情報通信学会論文誌D J91-D ( 5 ) 1286 - 1295 2008.5 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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A Method of generalization state space construction for multirobots with sensor configurations
Taksshi SHIBUYA
stitute of Electrical Engineers of Japan 3 ( 4 ) 418 - 424 2008.4 [Reviewed]
Language：English Publishing type：Research paper (scientific journal) Joint Work
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環境の変化に応じた多様性維持を可能にする二倍体遺 伝的アルゴリズム
小南学
電気学会論文誌C 129 ( 3 ) 381 - 387 2008.3 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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知的車椅子ロボットにおける環境パラメータを介した 協調行動の獲得
平田廣則
計測自動制御学会論文集 44 ( 2 ) 191 - 198 2008.2 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Experimental Study of the Eligibility Traces in Complex Valued Reinforcement Learning
IEEE International Conference on SYSTEMS, MAN & CYBERNETICS 2007 2007.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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New Genetic Algorithm with Diploid Chromosomes by Using Probability Decoding for Non-Stationary Function Optimization
IEEE International Conference on SYSTEMS, MAN & CYBERNETICS 2007 2007.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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A new distribution power network restoration system based on the multi-agent under the limitation of computational resources
The International Conference on Electrical Engineering 2007.7 [Reviewed]
Language：English Publishing type：Research paper (other science council materials etc.) Joint Work
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契約ネットプロトコルを用いたマルチエージェントによる自律分散型の配電系統事故復旧方式
児玉淳一，濱上知樹，宍道洋，田邊隆之，舟橋俊久，平田廣則
電気学会論文誌C 128 ( 1 ) 2007.1
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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確率的に表現型が決まる二倍体GAを用いた動的環境下での最適化に関する研究
小南学
情報処理学会,情報科学技術レターズ 181 - 182 2007 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Complex-Valued Reinforcement Learning
Proc of IEEE International Conference on Systems, Man and Cybernetics 3235 - 3530 2006.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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複素評価値を用いた Profit Sharing に関する研究
島田慎吾, 澁谷長史
情報科学技術レターズ（Information Technology Letters） 117 - 119 2006.10 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Autonomous Power Distribution Network Restoration Strategy by Using Multi-agent and the Contract Net Protocol
Proceedings of The International Conference on Electrical Engineering 2006 2006.7 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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マルチエージェントを用いた分散電源の協調制御
児玉淳一，宍道洋，田邊隆之，平田廣則
電気学会論文誌C 125 ( 1 ) 2006.1 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Constructing technique of state space with low dependence on sensor configurations for autonomous mobile robots
The Eleventh International Symposium on Artificial Life and Robotics 2006.1 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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Stochastic Control for Multi Car Elevator by using Learning Automatons
Proceedings of SSS04 2005.11 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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State Space Partitioning and Clustering with Sensor Alignment for Autonomous Robots
Proc. IEEE International Conference on Systems, Man, and Cybernetics 2005 2005.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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知的車椅子のための進化型シミュレータと行動統括機構の開発
今井誠，川戸康司，平田廣則
電気学会論文誌Ｄ 125 ( 1 ) 67 - 75 2005.1 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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学習オートマトンによるマルチカーエレベータ制御
白石和章，小圷成一，平田廣則
電気学会論文誌Ｄ 125 ( 1 ) 91 - 98 2005.1 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Development of Intelligent Wheelchair Acquiring Autonomous, Cooperative, and Collaborative Behavior
Proceedings of SMC04(CD-ROM) 2004.9 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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故障を考慮したブロック構造ニューラルネットワークの進化的構築
高森真仁,小圷成一,平田廣則
電気学会論文誌Ｃ 124 ( 4 ) pp.1004 - 1011 2004.4 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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Method of crowd simulation by using multiagent on cellular automata
Proc. of IEEE /WIC International Conference on Intelligent Agent Technology(IAT2003) 46 - 52 2003.10 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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適応的な状態分割を行うQ-Learningにおける状態数の調整方法
平田廣則
電子情報通信学会論文誌 86-D ( 7 ) 490 - 499 2003.7 [Reviewed]
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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経験的知識に基づく遺伝子操作を導入したGAによる効率的なモジュール構造型ロボットの迷路巡航学習
電気学会論文誌C ( Vol.123 ) No.1, pp.138 - 143 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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フローシステムにおける分岐構造形成の計算機シミュレーション
電気学会論文誌C ( Vol.123 ) No.3, pp.585 - 590 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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マルチエージェントシステムにおけるデザインパターンを用いたフレームワークの設計
電気学会論文誌C ( Vol.123 ) No.4, pp.699 - 706 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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パルスニューラルネットワークにおける破局的な忘却の抑制を考慮したヘブ型学習則
電気学会論文誌C ( Vol.123 ) No.6, pp.1124 - 1133 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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複数環境学習オートマトンによるITS自律走行制御
電気学会論文誌C ( Vol.123-C ) No.7, pp.1285 - 1291 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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知的車椅子における環境適応のための状態空間の構成法
電気学会論文誌D ( Vol.123 ) No.10, pp.1118 - 1124 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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ティーチングとＱ学習を併用した知的車椅子の自律走行
電気学会論文誌D ( Vol.123 ) No.11 ,. pp.1384 - 1385 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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セル上に配置されたマルチエージェントによる群集流のシミュレーション
電気学会論文誌 C ( Vol.123 ) No.11 , pp.2028 - 2035 2003
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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An Adjustment Method of the Number of States on Q-Learning Segmenting State Space Adaptively
Proc. IEEE International Conference on Systems, Man, and Cybernetics pp.3062 - 3067 2003
Language：English Publishing type：Research paper (other science council materials etc.)
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New Crowd Simulation Method by using multiagent on cellular automata
Artifcal Life 2003(Alife2003) Poster proguram, Robots andAutonomous 2003
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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誘因価値に基づいて行動選択確率が変化する強化学習法
電気学会論文誌C ( Vol.122-C ) No.12, pp.2157 - 2164 2002
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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A Multi-start Simulated Annealing Using Immunity-based Operations and its Application to the Quadratic Assignment Problems
Proc. IASTED International Conference on Intelligent Systems and Control pp.144 - 148 2002
Language：English Publishing type：Research paper (other science council materials etc.)
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Reinforcement Learning to Compensate for Perceptual Aliasing Using Dynamic Additional Parameter: Motivational Value
Proc. IEEE International Conference on Systems, Man, and Cybernetics Vol.2 2002
Language：English Publishing type：Research paper (other science council materials etc.)
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遺伝的アルゴリズムに基づく音声合成のためのスペクトルパタン圧縮法
電気学会論文誌 119-C ( 1 ) 143 - 150 1999
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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Spectrum Pattern Compression Method for Speech Synthesis basecl on a Genetic Algorithm.
Trans. IEE of Japan 119-C ( 1 ) 143 - 150 1999
Language：English Publishing type：Research paper (other science council materials etc.)
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深い意味や構造を意識せず抑揚を抑えて発声された音声のFOパターンの分析と合成
電子情報通信学会論文誌 J81-D ( 6 ) 1047 - 1057 1998.6
Language：Japanese Publishing type：Research paper (scientific journal) Joint Work
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音源波形形状を高調波位相により制御する音声合成方式
日本音響学会誌 54 ( 9 ) 623 - 631 1998
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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規則合成におけるパワーパタンの制御方法
日本音響学会誌 54 ( 12 ) 831 - 841 1998
Language：Japanese Publishing type：Research paper (other science council materials etc.)
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FO Pattern Analysis and Synthesis of Suppressed Intonation Speech without Awareness of Deep Meaning and Structure
The Transactions of the Institute of Electronics, Information and Communication Engineers D-(]G0002[) J81-D(]G0002[) ( 6 ) 1047 - 1057 1998
Language：English Publishing type：Research paper (other science council materials etc.)
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Speech synthesis using source wave shape modification technique by harmonic phase control.
The Journal of the Acoustical society of Japan 54 ( 9 ) 623 - 631 1998
Language：English Publishing type：Research paper (other science council materials etc.)
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A power pattern control method for synthesis by rule.
The Journal of the Acoustical Society of Japan 54 ( 12 ) 831 - 841 1998
Language：English Publishing type：Research paper (other science council materials etc.)
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A Method for Estimating Prosody Symbol From Text for Japanese Texr-To-Speech Synthesis
Proc International Conference on Spoken Language 96 1373 - 1376 1996
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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A study On Japanese Prosodic Pattern And Its Modeling In restricted Speech
Proc International Conference on Spoken Language 96 1996
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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The Improved Source Model For High-Quality Synthetic Speech Sound
Proc International Conferece on Spoken Language 90 805 - 808 1990
Language：English Publishing type：Research paper (international conference proceedings) Joint Work
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A New Synthesizer Model for High Quality Synthetic Speech
Proc the ESCA Workshop on Speech Synthesis 59 - 62 1990
Language：English Publishing type：Research paper (international conference proceedings) Joint Work