Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, and Youhei Akimoto: Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm, Evolutionary Computation, Vol. 33, Issue 2, pp. 141-189, Jun. (2025).（Q1, IF=14.3, TOP 10% Journal)
Keisuke Korogi, Ryoji Tanabe: Speeding Up Local Search for the Indicator-Based Subset Selection Problem by a Candidate List Strategy. IEEE Transactions on Evolutionary Computation, 30(1): 156-170 (2026) (Q1, IF=14.3, TOP 10% Journal）
K S Geetha, Reka S. Sofana, Keisuke Shima, and Venugopal Prakash: EMG controlled mobile robot equipped with gripper mechanism for fine motor skills training in rehabilitation, Results in Engineering, Vol.26, No.6, 104563, Jun 1st 2025 (Q1,IF=7.9, TOP 10% Journal)
Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, and Masaya Nakata: Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems, IEEE Transactions on Evolutionary Computation, Vol. 30, No. 1, pp. 363-377, Feb. 2026, IEEE (Q1, IF=12.0).
Takashi Ikeguchi, Kei Nishihara, Yo Kawauchi, Yuji Koguma, and Masaya Nakata: A surrogate-assisted memetic algorithm for permutation-based combinatorial optimization problems, Swarm and Evolutionary Computation, October 2025, Vel. 98, 102060 (2025). (Q1, IF=8.5)
Hiroki Shiraishi, Hisao Ishibuchi, and Masaya Nakata, A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems, ACM Transactions on Evolutionary Learning and Optimization, ACM, Vol. 6, Issue 1, Article 4, February (2026). (Q1, IF=4.66)
Masahiko Yamakawa, Katsunori Okajima, John S. Werner: Melanopsin stimulation modulates blackness induction, Color Research & Application, 51(1), e70051 (2026) (Q2, IF=1.4)
M Yamauchi, Y Kitamura, C Tada, R Kato, H Gotoh: Kinetic and thermodynamic evaluation of antioxidant reactions:factors influencing the radical scavenging properties of phenolic compounds in foods, Journal of the Science of Food and Agriculture, 105 (14), 8186-8195 1(2025). (Q2, IF=3.5)
T Nishii, K Ichizawa, H Nagano, H Mukai, D Sakaguchi, H Gotoh: Predicting substrate reactivity in oxidative homocoupling of phenols using positive and unlabeled machine learning, ACS omega, 10 (42), 49805-49815 1 (2025).(Q1, IF=4.3)
D Sakaguchi, M Shimono, H Gotoh: Analysis of Asymmetric Reduction of Ketones Using Three-Dimensional Electronic States, The Journal of Physical Chemistry, A 129 (39), 8945-8958(2025).(Q2, IF=2.8)
E Lee, T Sekizawa, Y Kobayashi-Miyajima, T Hirose, S Himori, A Yamada, H Gotoh et al.: Silyloxy-substituted anthraquinones as Type I photoinitiators for visible light-induced radical polymerization, Polymer Journal, 57 (5), 513-526 2 (2025).(Q2, IF=3.0)
T Homma, C Tada, M Yamauchi, Y Matsumoto, S Matsunaga, S Akai, H Gotoh et al.: Identification of a novel tetrahydroxynaphthalene derivative by chemical screening with ferroptosis inhibitory activity and promising therapeutic potential, Free Radical Research, 59 (4), 321-331 (2025).(Q2, IF=3.6)
Naoki Takada and Tatsunori Mori. Rethinking Dialogue Disentanglement for LLMs via Dialogue-Level Assignment and Subsequent Context. Proc. of The 10th Linguistic and Cognitive Approaches to Dialog Agents Workshop at the 40th AAAI conference (2026).(Q1)
Nagi Eto, Yuto Mizuta, Toshihiko Shiraishi: Frequency-dependent regulation of osteogenesis by nuclear displacement in osteoblasts under mechanical vibrations, Journal of Biomechanics, 189, 112838 (2025).(Q1, IF=2.4)
C. Taguchi and M. Kuroki (2025). Variance-based Difference between Graphical Identification Conditions of Causal effects in Gaussian linear structural equation models, Statistics and Probability Letters, 228, 110561.(Q3, IF=1.2)
Wang Mengyu, Osanai Nana, Miyagi Etsuko, Utsunomiya Daisuke, Hamagami Tomoki: Discrimination of Ovarian Cancer Types using Vision Transformer in Multi-Modal MRI Images, Transactions on Electrical and Electronic Engineering, １４５（５）pp.539-547 May. 2025 (2025).(Q3,IF=1.1)
Kanako Nose, Toshihiko Shiraishi: Strain-induced Calcium Response and Chromatin Condensation of Osteoblasts via Direct Vibration of Focal Adhesion Sites Using Magnetic Micropillars, ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 9(2), 021006 (2026). (Qなし，IF=0.493)
International Conference Papers
Ryusei Shingaki, Haruka Yoshida, Manabu Kuroki: Identification and Estimation of “Probabilities of Causation”in the Presence of Confounding and Selection Bias, The 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026)（CR(CORE Ranking):A, TOP 10% Rank)
Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, and Shinichi Shirakawa: Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers, Findings of the Association for Computational Linguistics (ACL 2025 Findings), pp.20799-20817 (2025).(CR:A*)
Hiroki Shiraishi, Hisao Ishibuchi, and Masaya Nakata, X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning, 34th International Joint Conference on Artificial Intelligence (IJCAI2025)(CR:A*)
Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami, "Test-time Adaptation for Regression by Subspace Alignment", The International Conference on Learning Representations (ICLR2025) https://arxiv.org/html/2410.03263v1, Apr.2025 (2025).(CR:A*)
Yuma Horaguchi, Kei Nishihara and Masaya Nakata, Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO'25), The Genetic and Evolutionary Computation Conference (GECCO) 2025 (companion), pp.33-34. (CR:A)
Yuma Horaguchi and Masaya Nakata, High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm, The Genetic and Evolutionary Computation Conference (GECCO) 2025, pp.572-580. (CR:A)
Hiroki Shiraishi, Hisao Ishibuchi and Masaya Nakata, Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers, 2025 International Conference on Fuzzy Systems (FUZZ-IEEE).(CR:A)
Yuta Sekino, Yohei Watanabe, Kento Uchida, and Shinichi Shirakawa: Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), pp. 764-772 (2025).(CR:A)
Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, and Shinichi Shirakawa: CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), pp.737-745 (2025). (CR:A)
Takumi Matsuo, Kento Uchida, and Shinichi Shirakawa: Elitist Evolutionary Algorithm for Optimization on Sets of Points, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), pp. 258-266 (2025). (CR:A)
Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, and Shinichi Shirakawa: Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality, Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2025, Poster Paper), pp.491-494 (2025). (CR:A)
Kento Uchida, Yohei Watanabe, Ryoki Hamano, and Shinichi Shirakawa: Search Space Selection Using Constrained Mixed-Integer Optimization Method, Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2025, Poster Paper), pp.511-514 (2025). (CR:A)
Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, and Masaya Nakata, Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning, The Genetic and Evolutionary Computation Conference (GECCO) 2025 (companion), pp.71-72. (CR:A)
Hiroki Shiraishi, Hisao Ishibuchi, and Masaya Nakata, Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty, The Genetic and Evolutionary Computation Conference (GECCO) 2025 (companion), pp. 69-70. (CR:A)
Keisuke Korogi, Ryoji Tanabe: Analyzing the Landscape of the Indicator-based Subset Selection Problem. GECCO 2025: 590-599 (CR:A)
Keisuke Sugawara, Kento Uchida, and Shinichi Shirakawa: Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift, Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025) (2025).(CR:B)
Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu, Kento Uchida, and Shinichi Shirakawa: OnDeFog: Online Decision Transformer under Frame Dropping, Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025) (2025).(CR:B)
Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, and Shinichi Shirakawa: Uncertainty-Aware Self-Localization for Bulldozers Using Machine Learning with Internal Sensor Data, The 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025) (2025).(CR:B)
Rio Akizuki, Yuya Kudo, Nozomu Yoshinari, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, and Shinichi Shirakawa: Surrogate Benchmarks for Model Merging Optimization, International Conference on Automated Machine Learning (AutoML 2025), Non-Archival Content Track (2025).
M. Melgosa, S. Okuda, K. Okajima, M. Nagata, A. Alvarez, D. Vazquez: Color rendering indexes for white light sources, Proc. National Lighting Symposium (2025).
N.Osaki, S.Okuda, K.Okajima: Lighting Color Conditions That Make Dish Look Delicious, Proc. CIE2025, ID258 (2025).
A. Kagimoto, Y. Kodama, S. Okuda, K. Okajima: Preferable lighting conditions for cooking hamburger steak, Proc. AIC2025, 246-249 (2025).
Xue Ni, Katsunori Okajima, Satoko Taguchi：Toward Safeguarding the Traditional Dyed Textile “Liangbu” of the Dong People: A Comparison of Colors and Materials between Traditional Handicrafts and Commercial Imitations，2025 East Asian Cultural Heritage Conservation Forum. (2025).
Hijiri Okumura, Katsunori Okajima: Visual perception of mobile displays depending on the combination of the luminance of the display and the lighting conditions, Proc. Electric Imaging (EI2026).
Kaito Ito, Katsunori Okajima: VR Dance Learning by Decoupling Motion Trajectories from Temporal Constraints, Proc. Augmented Humans 2026 (AHs2026).
Yuma Horaguchi and Masaya Nakata, Hypervolume-based Fitness Approximation for High-Dimensional Expensive Multiobjective Optimization, The 26th International Symposium on Advanced Intelligent Systems (ISIS2025).
Yuma Yamaguchi, Tsubasa Shimura, Tadakuni Tsubota, Osamu Uehara, Taro Fukue, Tomoyuki Shimono, and Masaya Nakata, Multi-Input Deep Learning for Dementia Prediction via Integration of Drawing Images and Time from the Trail Making Test, The 26th International Symposium on Advanced Intelligent Systems (ISIS2025).
Haruhisa Tokuue, Yuma Yamaguchi and Masaya Nakata, Surrogate-assisted Multiobjective Evolutionary Algorithm using Zero-shot Neural Architecture Search, The 26th International Symposium on Advanced Intelligent Systems (ISIS2025), pp. 360-364, November 2025.
Ryo Fukami and Masaya Nakata, Improved Infill Criteria for Evolutionary Surrogate-Assisted Optimization of Highly Expensive Multiobjective Problems, SICE FES 2025, pp.1005-1012, SICE, September.
Takuro Tanaka and Masaya Nakata, Comparison of Performance Indicators for Robust Multi-Objective Optimization: A Case Study Using Evolutionary Approaches, SICE FES 2025, pp.720-726, SICE, September.
Chengguang Gan, Qinghao Zhang and Tatsunori Mori. USA Model: Japanese Universal Sentiment Analysis Model and Construction of Japanese Sentiment Text Classification and Part of Speech Dataset. The 39th Pacific Asia Conference on Language, Information and Computation (PACLIC 39) (2025).
Ryudai Kato and Masaya Nakata, An Improvement of RVEA Using the Inverted Approach, 2025 9th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2025).
Hibiki Murase, Kei Hiroshima, Kento Uchida, Mizuki Ohashi, Naoki Kashihara, Anthony Viera, Hiroyuki Daida, Shinichi Shirakawa, and Yuichiro Yano: Enhancing atherosclerosis risk prediction with strategic feature and case selections in large language model, ESC Congress 2025 (2025).
Fusion of transition state analysis and data-driven approach for stereoselectivity prediction in asymmetric ketone reduction, Daimon Sakaguchi, Masaki Shimono, Hiroaki Gotoh Pacifichem (2025).
Fingerprint embeddings from molecular structures and descriptions by natural language processing and their evaluation of interpretability and extrapolability, Matsumoto Yuto, Koide Yuya, Gotoh Hiroaki, Pacifichem (2025).
Masataka Nakajima, Yi Liu, Takashi Tomii, "Location-Based Time and Energy Consumption Visualization System Using EV Lifelog Data", 2025 9th International Conference on New Energy and Applications (ICNEA 2025)/December 28-30, 2025/Tokyo, Japan (2025)
Mengyu Wang, Takahiro Iida, Kozo Okada, Takafumi Goto, Natsuko Jinba, Hiroki Yamaya, Kiyoshi Hibi, Tomoki Hamagami,"RelationalGAFNet: Attention-based 12-lead ECG Diagnosis with GADF Transformation", The 11th International Conference on Systems and Informatics (ICSAI 2025) PmA_3 1112 Dec.2025 (2025).
Longo,C. and Yasumoto, M.(2025) Determinants of firms' technology portfolio composition: Investigating patents strategy in 3GPP standardization, 29th EURAS（European Academy of Standardisation） Annual Standardisation Conference (Jun. 2025, Madrid, ESP).
Longo, C. and Yasumoto, M.(2025) The role of patent strategies on standard-related technology portfolio: Investigating the 3GPP case, R&D Management Conference 2025 (Jun. 2025, Pisa, ITA).
Shiu, J.-M., Yasumoto, M., Cheng, J.-Z., and Dallas, M. (2026) Informal Authority in Standard-Setting Organizations: Evidence from the Selection of Rapporteurs in 3GPP, submitted to 86th AOM (Academy of Management) Annual Meeting 2026 (Aug. 2026, Philadelphia, USA).
Dallas, M., Shiu, J.-M., Cheng, J.-Z., and Yasumoto, M. (2026) Institutional geopolitics: Firms coalition fprmation and the US-China tech war in global telecommunications standard-setting, submitted to 86th AOM (Academy of Management) Annual Meeting 2026 (Aug. 2026, Philadelphia, USA).
Ryogo Hayashi, Takayuki Mukaeda, Keigo Tomihama, Yukiko Tsugue, Yuko Sasajima, Toshio Kumaoh, Shigenobu Minami, and Keisuke Shima: Domain-adaptive Emotion Estimation through Lightweight Fine-Tuning, Proceedings of 2025 IEEE International Conference on Systems, Man and Cybernetics (SMC2025), We-S4-T10.5, Vienna, Austria, 5-8 October, 2025
Sougo Horimatsu, Kensuke Takenaka, Takayuki Mukaeda, and Keisuke Shima: Estimating Wrist Joint Angle Using Electromyography and Cepstral Coefficients, Proceedings of the 2026 IEEE/SICE International Symposium on System Integration (SII2026), pp. 155-160, Cancun, Mexico, 21-24 January, 2025
2024
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)
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)
'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)
Involving lead-users in firm’s standardization strategy within action groups, Europenan Journal of Innovation Management (co-author, accepted)
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).
堀松 壮吾, 竹中 健祐, 布野 大樹, 迎田 隆幸, 島 圭介,時系列情報を考慮した未学習クラス推定法に基づく5指複合動作によるロボットハンドの制御, 計測自動制御学会論文集, Vol. 60, No. 12, pp. 656-664, Dec 2024.
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
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
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.
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, Sebastien Verel: 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)
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)
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).
黒木学：2024年11月．第53年度日本品質管理学会最優秀論文賞
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
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.
2023
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)
米国特許取得 - 長尾智晴，柳元美玖：浸透学習法，US 11,604,983, Mar. 14 (2023)
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)
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)
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).
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
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
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
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
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.
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
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)
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).
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
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.
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)
日本特許取得 -長尾智晴，柳元美玖：浸透学習法，特許第7044398号, 3月22日 (2022)
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)
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)
Uncovering the roles of core and complementary technologies in controlling open technology platforms, paper presented at AOM Annual Meeting 2022(co-author)
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).
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
島谷 康司，島 圭介，坂田茉実, 浮遊する風船の紐を把持した子どもの姿勢制御$2212乳幼児の歩行獲得支援の試み, ベビーサイエンス, Vol. 21, pp. 40-48, 2022年3月
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
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
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.
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.
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 bezier simplex-based interpolation method for computationally expensive multi-objective optimization. Genetic and Evolutionary Computation Conference (GECCO2022): 601-610
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)
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），
Manabu Kuroki: ANQ（Asian Network for Quality）Congress 2022 Best Paper Award
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
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)
Some effects of LED light prototypes recommended by the CIE on the visual appearance of museum exhibits. Proc. XLVII National Lighting Symposium (2021)
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).
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
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
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
Ryoji Tanabe: Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. Genetic and Evolutionary Computation Conference (GECCO2021): 546-555
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．
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
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.
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