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Kazutoshi Sakakibara
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2020 – today
- 2024
- [j6]Jin Matsuzaki, Kazutoshi Sakakibara, Masaki Nakamura, Shinya Watanabe:
Large neighborhood local search method with MIP techniques for large-scale machining scheduling with many constraints. J. Supercomput. 80(9): 12297-12312 (2024) - 2023
- [c32]Yifan Wang, Masaki Nakamura, Kazutoshi Sakakibara, Yuki Okura:
Formal Specification and Verification of an Autonomous Vehicle Control System by the OTS/CafeOBJ method (S). SEKE 2023: 363-366 - 2022
- [j5]Masaki Nakamura, Shuki Higashi, Kazutoshi Sakakibara, Kazuhiro Ogata:
Specification and Verification of Multitask Real-Time Systems Using the OTS/CafeOBJ Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(5): 823-832 (2022) - [c31]Yuki Kitahara, Masaki Nakamura, Kazutoshi Sakakibara:
An Investigation of Formal Verification of Control Policy of Multi-Car Elevator Systems Using Statistical Model Checking. ICMLC 2022: 118-193 - [c30]Shogo Kotani, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuo Motoyoshi, Keisuke Hoshikawa:
Toward Prediction of Traffic Accidents Using Formal Concept Analysis of Actual Accidents and Related Data. ICMLC 2022: 209-214 - [c29]Kodai Suzuki, Kazutoshi Sakakibara, Masaki Nakamura, Suguru Shinoda, Yasuhisa Asano:
Machine Learning for Protein Solubility Prediction. ICMLC 2022: 237-241 - [c28]Jin Matsuzaki, Kazutoshi Sakakibara, Masaki Nakamura:
The MIP-Based Large Neighborhood Local Search Method for Large-Scale Optimization Problems with Many Constraints: Application to the Machining Scheduling. ICMLC 2022: 242-247 - [c27]Tatsuya Igarashi, Masaki Nakamura, Kazutoshi Sakakibara:
Formal Verification of the Lim-Jeong-Park-Lee Autonomous Vehicle Control Protocol using the OTS/CafeOBJ Method. SEKE 2022: 574-579 - 2021
- [j4]Masaki Nakamura, Kazutoshi Sakakibara, Yuki Okura, Kazuhiro Ogata:
Formal Verification of Multitask Hybrid Systems by the OTS/CafeOBJ Method. Int. J. Softw. Eng. Knowl. Eng. 31(11&12): 1541-1559 (2021) - [c26]Masaki Nakamura, Kazutoshi Sakakibara, Yuki Okura, Kazuhiro Ogata:
Formal verification of multitask hybrid systems by the OTS/CafeOBJ method. SEKE 2021: 114-119 - 2020
- [c25]Masaki Nakamura, Shuki Higashi, Kazutoshi Sakakibara, Kazuhiro Ogata:
Formal verification of Fischer's real-time mutual exclusion protocol by the OTS/CafeOBJ method. SICE 2020: 1210-1215 - [i1]Masaki Nakamura, Kazutoshi Sakakibara, Kazuhiro Ogata:
Specification description and verification of multitask hybrid systems in the OTS/CafeOBJ method. CoRR abs/2010.15280 (2020)
2010 – 2019
- 2019
- [c24]Masaki Nakamura, Kazutoshi Sakakibara:
Formal Verification and Mathematical Optimization for Autonomous Vehicle Group Controllers. MoDELS (Companion) 2019: 732-733 - 2018
- [c23]Yuya Morinaga, Kazutoshi Sakakibara, Takuya Matsumoto, Makoto Ohara, Ittetsu Taniguchi
, Hisashi Tamaki:
Control of Thermal Grid Systems by Machine Learning Techniques Incorporating Mathematical Programming. IIAI-AAI 2018: 718-723 - [c22]Kazutoshi Sakakibara:
Validation of Usability of Bridges in Urban Districts by Multi-Agent Simulation Techniques. Intelligent Environments (Workshops) 2018: 206-215 - [c21]Takeshi Oyama, Kazutoshi Sakakibara, Junzo Tachibana, Takuya Matsumoto, Makoto Ohara, Hisashi Tamaki:
Multi-Agent Simulation Using Scenarios for Bridges Assessment. SCIS&ISIS 2018: 1315-1319 - 2017
- [j3]Masato Nagayoshi, Simon J. H. Elderton, Kazutoshi Sakakibara, Hisashi Tamaki:
Reinforcement Learning Approach for Adaptive Negotiation-Rules Acquisition in AGV Transportation Systems. J. Adv. Comput. Intell. Intell. Informatics 21(5): 948-957 (2017) - 2016
- [c20]Katsuhiro Sakato, Ittetsu Taniguchi
Optimal power distribution for decentralized electric energy network with electric vehicles. ETFA 2016: 1-4 - [c19]Takuya Matsumoto, Kazutoshi Sakakibara, Makoto Ohara, Hisashi Tamaki:
Multi-agent Simulation with Mathematical Optimization of Urban Traffic Using Open Geographic Data. IIAI-AAI 2016: 1109-1113 - 2015
- [c18]Hiroto Komaki, Shunsuke Shimazaki, Kazutoshi Sakakibara, Takuya Matsumoto:
Interactive optimization techniques based on a column generation model for timetabling problems of university makeup courses. IWCIA 2015: 127-130 - [c17]Shinya Watanabe, Masashi Ito, Kazutoshi Sakakibara:
A proposal on a decomposition-based evolutionary multiobjective optimization for large scale vehicle routing problems. CEC 2015: 2581-2588 - 2014
- [c16]Takuya Matsumoto, Kazutoshi Sakakibara, Hisashi Tamaki:
Multi-agent simulation model of urban traffic behavior of inhabitants applying optimization techniques. SCIS&ISIS 2014: 348-352 - [c15]Kazutoshi Sakakibara, Takuya Matsumoto, Ittetsu Taniguchi
Optimization of design of decentralized energy networks by mathematical programming techniques. SCIS&ISIS 2014: 359-364 - 2013
- [j2]Ittetsu Taniguchi
Network Topology and Battery Size Exploration for Decentralized Energy Network with MIP Base Power Flow Optimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(7): 1617-1624 (2013) - [c14]Kazutoshi Sakakibara:
Adaptive optimization by dynamic programming heuristics for logistics planning in dynamic environments. SII 2013: 472-476 - 2012
- [c13]Shinya Kato, Ittetsu Taniguchi
A battery degradation aware optimal power distribution on decentralized energy network. NEWCAS 2012: 409-412 - [c12]Shinya Kato, Hide Nishihara, Ittetsu Taniguchi
Analysis on battery storage utilization in decentralized solar energy networks based on a mathematical programming model. SCIS&ISIS 2012: 651-656
2000 – 2009
- 2009
- [c11]Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa:
Prediction of the O-glycosylation by Support Vector Machines and Characteristics of the Crowded and Isolated O-glycosylation Sites. IIH-MSP 2009: 1209-1212 - 2008
- [c10]Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa:
Prediction of the O-Glycosylation by Support Vector Machines and Semi-supervised Learning. ICONIP (1) 2008: 986-994 - [c9]Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa:
Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System. ISDA (3) 2008: 115-120 - [c8]Keita Hamahata, Tadahiro Taniguchi, Kazutoshi Sakakibara, Ikuko Nishikawa, Kazuma Tabuchi, Tetsuo Sawaragi:
Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward. ISDA (3) 2008: 121-126 - 2007
- [c7]Shinya Watanabe, Kazutoshi Sakakibara:
A Multiobjectivization Approach for Vehicle Routing Problems. EMO 2007: 660-672 - [c6]Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara:
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. IJCNN 2007: 327-332 - [c5]Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Kazutoshi Sakakibara, Masahiro Ito:
Prediction of the O -Glycosylation with Secondary Structure Information by Support Vector Machines. KES (2) 2007: 335-343 - 2006
- [c4]Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara:
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. IJCNN 2006: 459-464 - [c3]Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Takeshi Iritani, Kazutoshi Sakakibara, Masahiro Ito:
Prediction of the O-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines. KES (2) 2006: 953-960 - 2005
- [j1]Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara, Yasuaki Kuroe:
Phase dynamics of complex-valued neural networks and its application to traffic signal control. Int. J. Neural Syst. 15(1-2): 111-120 (2005) - [c2]Shinya Watanabe, Kazutoshi Sakakibara:
Multi-objective approaches in a single-objective optimization environment. Congress on Evolutionary Computation 2005: 1714-1721 - [c1]Shinya Watanabe, Kazutoshi Sakakibara:
The effectiveness of multiobjective optimizer in single-objective optimization enviroment. GECCO 2005: 829-830
Coauthor Index
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