Satoshi Arai, Shinichi Shirakawa, and Tomoharu Nagao: BINN-DT: Towards Better Interpretability of Multidimensional Decision Rules via Bivariate Nonlinear Node Decision Trees, Proc. of IEEE SMC-2024 (2024)
村上 聡，長尾智晴：マンガ書籍中の不適切な画像検出システム，人工知能学会論文誌，Vol.39，No.1，pp.A-N76_1-11, January 2024 (2024)
Satoshi Murakami and Tomoharu Nagao: Manga Frame Extraction and its Application to Detecting Inappropriate Images in Manga Books, Proceedings of International Workshop on Advanced Image Technology (IWAIT 2024), Langkawi, Malaysia, January 7-8 (2024)
招待講演 長尾智晴：説明可能 AI(XAI) から人と共に進化する AI へ，日本応用数理学会 (2024)
Hiroyuki Okumura and Tomoharu Nagao: MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification, Proceedings of 32nd International Conference on Artificial Neural Networks (ICANN 2023), Crete, Greece, September 26-29 (2023)
Masayuki Kobayashi, Shinichi Shirakawa and Tomoharu Nagao: Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance, Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Vienna, Austria, 3-5 Feb (2022)
Naoki Kuzuya and Tomoharu Nagao: Designing B-spline-based Highly Efficient Neural Networks for IoT Applications on Edge Platforms, Proceedings of 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022), Clarion Congress Hotel Prague, Czech Republic October 9-12 (2022)
Satoshi Arai, Shinichi Shirakawa and Tomoharu Nagao: Non-strict Attentional Region Annotation to Improve Image Classification Accuracy, Proceedings of 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, Australia, October 17-20 (2021)
Masayuki Kobayashi and Tomoharu Nagao: An Evolution based Approach for Efficient Differentiable Architecture Search, Proceedings of the Genetic and Evolutionary Computation Conference Companion 2020, Cancun, Mexico, Jul. 8 12 (2020)
Masayuki Kobayashi and Tomoharu Nagao: A Multi objective Architecture Search for Generative Adversarial Networks , Proceedings of the Genetic and Evolutionary Computation Conference Companion 2020, Cancun, Mexico, Jul. 8 12 (2020)
森 辰則
2024
Chengguang Gan, Qinghao Zhang, and Tatsunori Mori. Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening. Journal of Information Processing, Vol. 32, pp. 881-893 (2024)
Chengguang Gan, Qinghao Zhang, and Tatsunori Mori. Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification. In Proceedings of the 29th International Conference on Applications of Natural Language to Information Systems (NLDB 2024), LNCS Vol. 14763, pp. 43-55. Springer, Cham (2024)
福岡康大, 東明幸太, 森辰則, 伊藤拓海. 事故事例文章構造化システムの構築. 言語処理学会第30回年次大会発表論文集, pp. 778-782 (2024)
Chengguang Gan and Tatsunori Mori. Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 2023), pp. 1-11 (2023)
Chengguang Gan, Qinghao Zhang, and Tatsunori Mori. Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition. In Proceedings of the 28th International Conference on Applications of Natural Language to Information Systems (NLDB 2023), LNCS Vol. 13913 , pp. 257-270. Springer, Cham (2023)
Chengguang Gan and Tatsunori Mori. A Few-Shot Approach to Resume Information Extraction via Prompts. In Proceedings of the 28th International Conference on Applications of Natural Language to Information Systems (NLDB 2023), LNCS Vol. 13913, pp. 445-455. Springer, Cham (2023)
Daiki Iwayama, Hideyuki Shibuki, and Tatsunori Mori. Forst: A Challenge to the NTCIR-17 QA Lab-PoliInfo-4 Task. In Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies, pp. 244-249 (2023)
Naoki Igarashi, Daiki Iwayama, Hideyuki Shibuki, and Tatsunori Mori. Forst: A Challenge to the NTCIR-16 QA Lab-PoliInfo-3 Task. In Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, pp. 202-206 (2022)
Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Madoka Ishioroshi, Masaharu Yoshioka, Tomoyoshi Akiba, Yasuhiro Ogawa, Minoru Sasaki, Kenichi Yokote, Kazuma Kadowaki, Tatsunori Mori, Kenji Araki, Teruko Mitamura, and Satoshi Sekine. Overview of the NTCIR-16 QA Lab-PoliInfo-3 Task. In Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, pp. 156-174 (2022)
Hiromu Onogi, Kiichi Kondo, Younghun Lim, Xinnan Shen, Madoka Ishioroshi, Hideyuki Shibuki, Tatsunori Mori, and Noriko Kando. Forst: A Challenge to the NTCIR-15 QA Lab-PoliInfo-2 Task. In Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, pp. 161-167 (2020)
Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Madoka Ishioroshi, Teruko Mitamura, Masaharu Yoshioka, Tomoyoshi Akiba, Yasuhiro Ogawa, Minoru Sasaki, Kenichi Yokote, Tatsunori Mori, Kenji Araki, Satoshi Sekine, and Noriko Kando. Overview of the NTCIR-15 QA Lab-PoliInfo-2 Task. In Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, pp. 101-112 (2020)
岩崎慧悟, 阪本浩太郎, 渋木英潔, 森辰則. 入れ子構造を持つ固有表現の階層的抽出. 言語処理学会第26回年次大会発表論文集, pp. 732-735 (2020)
岡嶋 克典
2024
'Hot Stuff': Making Food More Desirable with Animated Temperature Cues. Food Quality and Preference, 120, No.11, #105233 (2024)
Effect of observer’s cultural background and masking condition of target face on facial expression recognition for machine-learning dataset. PLOS ONE 19(10): e0313029 (2024)
Lighting preferences in Iberian sausages for Japanese and Spanish observers. Proc. AOP2024 (Applications of Optics and Photonics) 305, #26, 1-4 (2024)
Blackness perception is affected by the stimulation of melanopsin cells. The 27th Symposium of the International Colour Vision Society (ICVS), 153 (2024)
2023
感覚知覚の心理学（共著）. 朝倉書店 (2023年4月5日刊行)
Melanopsin stimulation affects discomfort glare in lighting environment. Journal of Science and Technology in Lighting, Vol.47, 17-27 (2023)
Influence of lighting colour on visual evaluation of landscape paintings - Focus on some Claude Monet's artworks. Proc. International Association of Societies of Design Research (IASDR2023), #625 (2023)
Daylights with high melanopsin stimulation appear reddish in fovea and greenish in periphery. PLOS ONE, 18(4): e0285053 (2023)
2022
味以外のおいしさの科学.（共著） エヌ・ティー・エス(2022年11月11日刊行)
図説 視覚の事典（日本視覚学会編：共著）朝倉書店 (2022年11月１日刊行)
Color Materials and Techniques in John Gould's "Folio Bird Books - A Comparison with R.P.Lesson's "Histoire Naturelle des Oiseaux Mouches. Proc. AIC2022 (Int'l Colour Assoc.), 47-52 (2022)
Color appearance match can be performed among custom-made five-dimensional metamers. Journal of Vision, 22, 3402 (2022)
Some effects of LED light prototypes recommended by the CIE on the visual appearance of museum exhibits. Proc. XLVII National Lighting Symposium (2021)
Hemodynamic responses related to intrinsically photosensitive retinal ganglion cells in migraine. NeuroScience Research, Vol.160, 57-64 (2020)
Perfect Appearance Match between Self-luminous and Surface Colors Can be Performed with Isomeric Spectra. Scientific Reports, 10, #18350 (2020)
Effects of varying the standard deviation of the luminance on the appearance of food, flavour expectations, and taste/flavour perception. Scientific Reports, 10, #16175 (2020)
Firm’s standardization strategies within action groups, paper presented at EURAS 2024 (co-author)
2023
『オープン技術のガバナンス戦略 ：知識のマネジメントの視点からのアプローチ』, 有斐閣
統合能力、アーキテクチャコントロール、多様性, 『技術マネジメント研究』22(共著）
2022
Uncovering the roles of core and complementary technologies in controlling open technology platforms, paper presented at AOM Annual Meeting 2022(co-author)
Liu, Y., Soga, S., He, X., Tanaka, Y., Tomii, T. (2024). Design of an Electric Vehicles’ Energy Baseline Map and Application for Energy Consumption Analysis. In: Onizuka, M., et al. Database Systems for Advanced Applications. DASFAA 2024. Lecture Notes in Computer Science, vol 14856. Springer, Singapore. https://doi.org/10.1007/978-981-97-5575-2_9
Toshihiko Shiraishi, Katsuya Sato, Real-time imaging of intracellular deformation dynamics in vibrated adherent cell cultures, Biotechnology and Bioengineering, 121(10), 3034-3046 (2024).
Rieko Yamamoto, Sho Itami, Masashi Kawabata, Kohei Morimura, Toshihiko Shiraishi, Assistive Technology for Real-Time Fall Prevention during Walking: Evaluation of the Effect of an Intelligent Foot Orthosis, ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 8(1), 011005-1-011005-11 (2024).
Yura WATANABE, Toshihiko SHIRAISHI, Effects of mechanical vibrations on chondrocytes in monolayer culture for regenerative cartilage, Mechanical Engineering Journal, 11(5), 24-00102-1-24-00102-12 (2024).
Hiroki Tanabe, Toshihiko Shiraishi, Haruhiko Sato, Misato Nihei, Takenobu Inoue, Chika Kuwabara, A concept for emotion recognition systems for children with profound intellectual and multiple disabilities based on artificial intelligence using physiological and motion signals, Disability and Rehabilitation: Assistive Technology, 19(4), 1319–1326 (2023).
Kohei Takahashi, Toshihiko Shiraishi, Deep Encoder and Decoder for Time-domain Speech Separation, Mechanical Engineering Journal, 10(5), 23-00124-1–23-00124-12 (2023).
Shiraishi Toshihiko, Nagamatsu Shuto, Misaki Hirotaka, High dynamic range and high dispersion stability of a magnetorheological grease damper for semi-active vibration suppression, JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 33(3), 419–431 (2022).
Nagamatsu Shuto, Shiraishi Toshihiko, A simple and novel control strategy for semi-active vibration suppression by a magnetorheological damper, JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 33(6), 811–821 (2022).
Morimura Kohei, Yamamoto Rieko, Shiraishi Toshihiko, Orthosis with a controllable plantar height for fall prevention using a compact magnetorheological fluid brake, JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 33(7), 928–941 (2022).
Rieko Yamamoto, Sho Itami, Masashi Kawabata, Toshihiko Shiraishi, Effectiveness of an Intelligent Foot Orthosis in Lateral Fall Prevention, ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 5(4), 041009-1–041009-10 (2022).
Shuto Nagamatsu, Toshihiko Shiraishi, Semi-active Vibration Suppression of a Structure by a Shear-Type Damper Using Magnetorheological Grease, Vibration Engineering for a Sustainable Future, 1, 241–247 (2021).
Rieko YAMAMOTO, Kohei MORIMURA, Toshihiko SHIRAISHI, A Feasibility Study of an Intelligent Fall Prevention System: A Sideways Fall Dynamic Model and the Effect of Lateral Insole, World Physiotherapy Congress 2021, PO-00361-PO-00361 (2021).
MORIMURA Kohei, YAMAMOTO Rieko, SHIRAISHI Toshihiko, Control of plantar height by an MR fluid brake for fall prevention of patients with walking disabilities, The Proceedings of the International Conference on Motion and Vibration Control, 10067-1-10067-8 (2020).
NAGAMATSU Shuto, SHIRAISHI Toshihiko, Semi-active vibration suppression using skyhook-based control by a shear-type MR grease damper, The Proceedings of the International Conference on Motion and Vibration Control, 10030-1-10030-10 (2020).
Katsuya Sato, Toshihiko Shiraishi, MEASUREMENT OF MODES OF VIBRATION OF A CULTURED CELL FOR ITS MECHANOSENSING MECHANISMS, Proceedings of the ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE2020-23697-1-IMECE2020-23697-5 (2020).
Tianyi Wang, Wenxu Sun, and Keisuke Shima
Short Communication: Continuous body movement-robust respiration rate detection using Frequency-Modulated Continuous Wave millimeter wave radar based on non-negative matrix factorization algorithm
Biomedical Signal Processing and Control, Vol. 102, Dec 2024
DOI: 10.1016/j.bspc.2024.107243
Kensuke Takenaka, Keisuke Shima and Koji Shimatani
Investigation of Motor Learning Effects Using a Hybrid Rehabilitation System Based on Motion Estimation
Sensors, Vol. 24, No. 11, 3496, 29th May 2024
DOI: 10.3390/s24113496
Shun Sawai, Shin Murata, Shoya Fujikawa, Ryosuke Yamamoto, Keisuke Shima, and Hideki Nakano
Effects of Neurofeedback Training Combined with Transcranial Direct Current Stimulation on Motor Imagery: A Randomized Controlled Trial
Frontiers in Neuroscience, section Neuroprosthetics, Vol. 17, 1148336, 2 March 2023
DOI: 10.3389/fnins.2023.1148336
Shun Sawai, Shoya Fujikawa, Chihiro Ohsumi, Ryu Ushio, Kosuke Tamura, Ryosuke Yamamoto, Yoshihiro Kai, Shin Murata, Keisuke Shima, and Hideki Nakano
Effects of Neurofeedback on Standing Postural Control Task with Combined Imagined and Executed Movements
Frontiers in Neuroscience, Vol. 17, 1199398, 7 July 2023
DOI: 10.3389/fnins.2023.1199398
Takayuki Mukaeda and Keisuke Shima
Open-set motion recognition and adaptive structure modification of classifier based on clustering of unknown motions
Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4307-4312, Hawaii, 1-4th October 2023
DOI:10.1109/SMC53992.2023.10394622
Kensuke Takenaka, Keisuke Shima, and Koji Shimatani
Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals
Proceedings of 2023 IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 1-6, Singapore, 24-28th September 2023
DOI:10.1109/ICORR58425.2023.10304746
2022
Hayato Mikami, Mami Sakata, Keisuke Shima, Tomoyuki Nagara, Makiko Yamashita, and Koji Shimatani
A single-leg standing test evaluation system for fall prevention in workers
Advanced Robotics, Vol. 36, No. 24, pp. 1365–1375, 31 October 2022
DOI: 10.1080/01691864.2022.2132833
Prasetia Utama Putra, Keisuke Shima, and Koji Shimatani
A deep neural network model for multi-view human activity recognition
PLOS ONE Vol. 17, No. 1, e0262181, 7 January 2022
DOI: 10.1371/journal.pone.0262181
Ryotaro Watanabe, Keisuke Shima, Taiki Horiuchi, Takeshi SHIMIZU, Takayuki Mukaeda and Koji Shimatani
A System for Wound Evaluation Support Using Depth and Image Sensors
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), pp. 3709-3712, Guadalajara, Mexico (virtual), November 1-5, 2021
DOI: 10.1109/EMBC46164.2021.9629922
Prasetia Utama Putra, Keisuke Shima, Sayaka Hotchi and Koji Shimatani
Markerless Behavior Monitoring System for Diagnosis Support of Developmental Disorder Symptoms in Children
Proceedings of 2021 21st International Conference on Control, Automation and Systems (ICCAS), pp 1784-1787, Korea (online), 12-15th October, 2021.
DOI: 10.1109/EMBC46164.2021.9629922
2021
小宮山 翼，迎田 隆幸，島 圭介
混合余事象分布を内包した確率ニューラルネットに基づく5指駆動型ロボットハンドのEMG制御
計測自動制御学会論文集，Vol. 57, No. 12, pp. 504-510, December 2021
DOI: 10.9746/SICETR.57.504
Prasetia Utama Putra, Keisuke Shima, Sergio A. Alvarez, and Koji Shimatani
Identifying Autism Spectrum Disorder Symptoms Using Response and Gaze Behavior during the Go/NoGo Game CatChicken
Scientific Reports, Vol. 11, No. 22012, 10 November 2021
DOI: 10.1038/s41598-021-01050-7
Keisuke Shima, Koji Shimatani and Mami Sakata
A wearable light-touch contact device for human balance support
Scientific Reports，Vol. 11, No. 7324, 1 April 2021
DOI: 10.1038/s41598-021-85687-4
Takeshi Shimizu, Keisuke Shima, Takayuki Mukaeda, Shu Muraji, Juntaro Matsuo and Masayoshi Horiue
Real-time evaluation of driver cognitive loads based on multivariate biosignal analysis
Proceedings in 2020 IEEE International Conference on Systems,on multivariate biosignal analysis Man, and Cybernetics (SMC), pp. 623-628, 11-14 Oct. 2020
DOI: 10.1109/SMC42975.2020.9282983
Takayuki Mukaeda, Keisuke Shima, Saori Miyajima, Yuki Hashimoto, Takayuki Tanaka, Naomichi Tani and Hiroyuki Izumi
Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020, pp. 1270–1275, 12-15 Jan. 2020
DOI:10.1109/SII46433.2020.9026303
2020
迎田 隆幸，島 圭介
混合余事象分布に基づく未学習クラス推定確率ニューラルネット
計測自動制御学会論文集，Vol. 54, No. 1, pp. 9-15, December 2020
DOI: 10.9746/sicetr.56.532 ※2021年度計測自動制御学会論文賞・友田賞受賞
上條 冬矢，坂田 茉実，島 圭介，島谷 康司
身体揺らぎに基づく振動刺激制御による仮想ライトタッチ現象の評価
生体医工学，Vol. 58, No. 1, pp. 39-46, 10 March 2020
DOI: 10.11239/jsmbe.58.39
Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui1, Taro Shibanoki, Keisuke Shima and Koji Shimatani
Markerless Measurement and evaluation of General Movements in infants
Scientific Reports, Vol. 10, No. 1422, 29 Janualy 2020
DOI: 10.1038/s41598-020-57580-z
Keisuke Shima, Mami Sakata and Koji Shimatani
Light touch-based walking support device for fall prevention
Proceedings of the SICE Annual Conference 2019, pp. 1137-1138, Hiroshima Japan, September 10-13, 2019
Ryoma Mitani, Koji Shimatani, Mami Sakata, Takayuki Mukaeda and Keisuke Shima
Effects of somatosensory information provision to fingertips for mitigation of postural sway and promotion of muscle coactivation in an upright posture
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), pp. 5096-5099, Berlin, Germany, July 23–27, July 23-27, 2019
DOI: 10.1109/EMBC.2019.8856942
白川 真一
2024
Ryoki Hamano, Shota Saito, Masahiro Nomura, and Shinichi Shirakawa: Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization, ACM Transactions on Evolutionary Learning and Optimization, Vol. 4, Issue.2, Article No.: 10, Jun. 2024.
Takuya Matsuda, Kento Uchida, Shota Saito, and Shinichi Shirakawa: HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network, Knowledge-Based Systems, Vol. 284, 111293, Jan. 2024.
2023
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, and Hideitsu Hino: ATNAS: Automatic Termination for Neural Architecture Search, Neural Networks, Vol. 166, pp. 446-458, Sep. 2023.
2022
Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, and Shinichi Shirakawa: Generation of microscopic structure of solder material with desirable characteristics based on deep learning, Knowledge-Based Systems, Vol. 258, 110017, Dec. 2022.
Shoma Shimizu, Kenta Nishihara, Yoshiki Miyauchi, Kouki Wakita, Rin Suyama, Atsuo Maki, and Shinichi Shirakawa: Automatic berthing using supervised learning and reinforcement learning, Ocean Engineering, Vol. 265, 112553, Dec. 2022.
Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, and Shinichi Shirakawa: Evaluation of text-to-gesture generation model using convolutional neural network, Neural Networks, Vol. 151, pp. 365-375, Jul. 2022.
2020
Minami Masumoto, Ittetsu Fukuda, Suguru Furihata, Takahiro Arai, Tatsuto Kageyama, Kiyomi Ohmori, Shinichi Shirakawa, and Junji Fukuda: Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay, Scientific Reports, volume 11, Article number: 23344, Dec. 2021.
Kento Uchida, Shinichi Shirakawa, and Youhei Akimoto: Finite-Sample Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution on Convex Quadratic Functions, IEEE Transactions on Evolutionary Computation, Vol. 24, Issue 6, pp. 1035-1049, Dec. 2020.
Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, and Tomoharu Nagao: Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming, Evolutionary Computation, Vol. 28, Issue 1, pp. 141-163, Mar. 2020.
Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, and Toshihiko Baba: Optimization of an H0 photonic crystal nanocavity using machine learning, Optics Letters, Vol. 45, Issue 2, pp. 319-322, Jan. 2020.
田邊 遼司
2024
Ryoji Tanabe, Ke Li: Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis. IEEE Transactions on Evolutionary Computation (in press)
Ryoji Tanabe: Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. Genetic and Evolutionary Computation Conference (GECCO2024)
Arnaud Liefooghe, Ryoji Tanabe, Sébastien Vérel: Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. Parallel Problem Solving from Nature (PPSN 2024): 360-376
Ryoji Tanabe: Investigating normalization in preference-based evolutionary multi-objective optimization using a reference point. Applied Soft Computing 159: 111646 (2024)
2023
Ryoji Tanabe: On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. Genetic and Evolutionary Computation Conference (GECCO2023): 749-758
2022
Ryoji Tanabe: Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization. IEEE Transactions on Evolutionary Computation 26(6): 1321-1335 (2022)
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada: A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. Genetic and Evolutionary Computation Conference (GECCO2022): 601-610
2021
Ryoji Tanabe: Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. Genetic and Evolutionary Computation Conference (GECCO2021): 546-555
2020
Ryoji Tanabe, Alex Fukunaga: Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. IEEE Transactions on Cybernetics 50(3): 1170-1184 (2020)
Ryoji Tanabe, Hisao Ishibuchi: A Review of Evolutionary Multimodal Multiobjective Optimization. IEEE Transactions on Evolutionary Computation 24(1): 193-200 (2020)
Ryoji Tanabe, Hisao Ishibuchi: A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation 24(4): 720-734 (2020)
Ryoji Tanabe, Hisao Ishibuchi: An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space. IEEE Transactions on Evolutionary Computation 24(5): 853-867 (2020)
Ryoji Tanabe: Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution. Genetic and Evolutionary Computation Conference (GECCO2020): 645-653
濱上 知樹
2024
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 Vol.12 2702-2713 (2024.8)
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)
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)
Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition, Fujii,T and Hamagami,T, IEEE/CVF Winter Conference on Applications of Computer Vison (2024.1)
2023
Ordinal Regression Based on the Distributional Distance for Tabular Data
Tajima Yoshiyuki, Hamagami Tomoki
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E106D(3) 357-364 (2023.1)
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
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)
黒木 学
2024
H．Yoshida，M．Kuroki（2024）．Proportion-based sensitivity analysis of uncontrolled confounding bias in causal inference. The 33rd International Joint Conference on Artificial Intelligence （IJCAI-2024).
Y．Kawakami．，M．Kuroki．and Tian，J．（2024）．Probabilities of causation for continuous and vector variables. The 39th Conference on Uncertainty in Artificial Intelligence（UAI-2024）.
Y．Kawakami．，M．Kuroki．and Tian，J．（2024）．Identification and estimation of conditional average partial causal effects，The 39th Conference on Uncertainty in Artificial Intelligence（UAI-2024）.
R．Shingaki and M．Kuroki（2024）．Identification and estimation of ``causes of effects'' using covariate-mediator information．The 27th International Conference on Artificial Intelligence and Statistics （AISTATS-2024).
2024年11月．第53年度日本品質管理学会最優秀論文賞
2023
Y．Kawakami．M．Kuroki．and J. Tian（2023）．Instrumental variable estimation of average partial causal effects．The 40th International Conference on Machine Learning （ICML-2023）．
R. Shingaki and M．Kuroki（2023）．Probabilities of potential outcome types in experimental studies: identification and estimation based on proxy covariate information，The 37th AAAI Conference on Artificial Intelligence （AAAI-2023).
Y．Kawakami，R. Shingaki and M．Kuroki（2023）．Identification and estimation of the probabilities of potential outcome types using covariate information in studies with non-compliance，The 37th AAAI Conference on Artificial Intelligence （AAAI-2023).
H．Nanmo and M．Kuroki（2022）．Partially adaptive regularized multiple regression for estimating linear causal effects．The 38th Conference on Uncertainty in Artificial Intelligence（UAI-2022），
ANQ（Asian Network for Quality）Congress 2022 Best Paper Award
2021
R. Shingaki and M．Kuroki（2021）．Identification and estimation of joint probabilities of potential outcomes in observational studies with covariate information，The 35 th Annual Conference on Neural Information Processing Systems （NeurIPS-2021),
H．Nanmo and M．Kuroki（2021）．Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models．Journal of Multivariate Analysis，DOI：10.1016/j.jmva.2021.104766．
M．Kuroki．，R．Shingaki，and Y，Qu（2021）．Proportion of treatment effect mediated by surrogate endpoints．Biometrical Journal，63，105-121．
2020
R．Shingaki，H．Kanda．and M．Kuroki（2020）．Selection and integration of generalized instrumental variables for estimating total effects．Statistical Papers，62，2355–2381．
M．Kuroki．and H．Nanmo．（2020）．Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models．AStA Advances in Statistical Analysis，104，667-685．
ANQ（Asian Network for Quality）Congress 2020 Best Paper Award
杉本 千佳
2024
Ryota Nakamura, Chika Sugimoto, Generic Feature Extraction From Multiple Biological Data Using Self-Supervised Contrastive Learning, IEEE 13th Global Conference on Consumer Electronics (GCCE 2024), pp.854-855, 2024
杉本千佳，Basics of Biological Information Sensing, Data Utilization, and Its Application Development，PHARM STAGE Vol.24, No.2，pp.1-5, 2024
2023
Chika Sugimoto, Yuta Wakabayashi, Masticatory Ability Evaluation Based on Moving Images of Face during Chewing Using Deep Learning, 45th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2023), 2023
2022
Tanaka Y., Nagata T., Sugimoto, C., Ogino T, Development of AFM-based G-quadruplex DNA detection method using data science technology, 15th International Symposium on Nanomedicine (ISNM2022), 2022
Yuko Okazaki, Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno, Stress and Comfort Estimation of Patients Listening a Music while Rehabilitation Training by Machine Learning with Pre-processed Electrocardiogram, 15th International Symposium on Medical Information and Communication Technology (ISMICT), pp. 206-210, 2021
2020
Yoshitomo Sakuma, Kento Takabayashi, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno Learning Scheme Based on Stability Analysis for Prediction Model of Anesthetic Effect Using Recurrent Neural Network, International Journal of Trend in Research and Development, Vo.7, Issue.2, pp.199-204, 2020
Yuma Horaguchi, Kei Nishihara and Masaya Nakata, Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems, Swarm and Evolutionary Computation, Elsevier, April 2024, Vol. 86, 101516.
Kei Nishihara and Masaya Nakata, Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems, Vol. 10, pp.3633–3656, Complex & Intelligent Systems, Springer, 2024.
2022
Takumi Sonoda and Masaya Nakata, Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems, IEEE Transactions on Evolutionary Computation, Vol.26, No.6, pp.1581-1595, IEEE, March 2022.
2021
Masaya Nakata and Will N. Browne, Learning Optimality Theory for Accuracy-based Learning Classifier System, IEEE Transactions on Evolutionary Computation, Vol.25, No.1, pp.61-74, IEEE, February 2021.
Ryo Shiratori, Masaya Nakata, Kosuke Hayashi, and Toshihiko Baba, Particle swarm optimization of silicon photonic crystal waveguide transition, Optics Letters, Vol.46, No.8, pp.1904-1907, Optical Society of America, 2021.
2020
Horiuchi, Motoki and Nakata, Masaya,Self-adaptation of XCS learning parameters based on Learning theory,Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.342-349, 2020.
