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Makoto Ohki
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2020 – today
- 2021
- [j8]Kotaro Nagai, Daisuke Kanemoto, Makoto Ohki:
Applying K-SVD Dictionary Learning for EEG Compressed Sensing Framework with Outlier Detection and Independent Component Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(9): 1375-1378 (2021) - [c29]Makoto Ohki:
A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs. SISY 2021: 27-32 - 2020
- [j7]Daisuke Kanemoto, Shun Katsumata, Masao Aihara, Makoto Ohki:
Compressed Sensing Framework Applying Independent Component Analysis after Undersampling for Reconstructing Electroencephalogram Signals. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1647-1654 (2020) - [c28]Makoto Ohki:
Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling. CoDIT 2020: 581-586 - [c27]Makoto Ohki:
Verification of Applicability of MOEAs to Many-Objective GP Problem. CoDIT 2020: 837-842 - [c26]Makoto Ohki:
A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set. GECCO Companion 2020: 1915-1922
2010 – 2019
- 2019
- [c25]Shun Katsumata, Daisuke Kanemoto, Makoto Ohki:
Applying Outlier Detection and Independent Component Analysis for Compressed Sensing EEG Measurement Framework. BioCAS 2019: 1-4 - 2018
- [c24]Daisuke Kanemoto, Shun Katsumata, Masao Aihara, Makoto Ohki:
Framework of Applying Independent Component Analysis After Compressed Sensing for Electroencephalogram Signals. BioCAS 2018: 1-4 - [c23]Makoto Ohki:
Partial Sampling Operator and Structural Distance Ranking for Multi-Objective GP. ICCA 2018: 303-308 - [c22]Makoto Ohki:
Linear Subset Size Scheduling for Many-objective Optimization using NSGA-II based on Pareto Partial Dominance. ICINCO (1) 2018: 287-293 - [c21]Makoto Ohki:
Partial Sampling Operator and Tree-structural Distance for Multi-objective Genetic Programming. IJCCI 2018: 110-117 - [c20]Makoto Ohki:
Many-Objective Nurse Scheduling using NSGA-II based on Pareto Partial Dominance with Linear Subset-size Scheduling. IJCCI 2018: 118-125 - 2017
- [c19]Taiki Nishijima, Aoi Honda, Makoto Ohki:
Proposal of an efficient rank-ordering method based on subjectivity. FedCSIS (Communication Papers) 2017: 353-356 - 2015
- [c18]Makoto Ohki:
An approach to measure "the consensus degree of a purpose" on a group decision making. FUZZ-IEEE 2015: 1-6 - [c17]Makoto Ohki:
A parameter free nurse scheduling. FUZZ-IEEE 2015: 1-7 - 2014
- [j6]Makoto Ohki:
Nurse Scheduling by Cooperative GA with Effective Virus Operator. Int. J. Appl. Evol. Comput. 5(1): 19-29 (2014) - [c16]Makoto Ohki, Satoru Kishida:
An Effective Nurse Scheduling by a Parameter Free Cooperative GA. EvoApplications 2014: 955-966 - [c15]Matashige Oyabu, Heizo Tokutaka, Masaaki Ohkita, M. Seno, Makoto Ohki:
The new proposal of the calculation for the significance degree by once SOM learning - Using iris, gene, and Tof-SIMS data. SCIS&ISIS 2014: 1114-1119 - 2013
- [c14]Makoto Ohki, Satoru Kishida:
A parameter free algorithm of cooperative genetic algorithm for nurse scheduling problem. ICACCI 2013: 1201-1206 - [c13]Masataka Tozuka, Kunihiko Takano, Koki Sato, Makoto Ohki:
Digital space transmission of an interference fringe-type computer-generated hologram using IrSimple. Kaleidoscope 2013: 1-6 - 2012
- [j5]Makoto Ohki:
Nurse Scheduling by Cooperative GA with Effective Mutation Operator. IEICE Trans. Inf. Syst. 95-D(7): 1830-1838 (2012) - [j4]Makoto Ohki:
Periodic Mutation Operator for Nurse Scheduling by Using Cooperative GA. Int. J. Appl. Evol. Comput. 3(3): 1-16 (2012) - [j3]Makoto Ohki:
Effective operators using parallel processing for nurse scheduling by cooperative genetic algorithm. Int. J. Data Min. Model. Manag. 4(1): 57-73 (2012) - [c12]Makoto Ohki, Toshiaki Murofushi:
A ranking methodology using a new dispersion criterion on a group decision making. SCIS&ISIS 2012: 1649-1653 - [c11]Masaaki Ohkita, Heizo Tokutaka, Makoto Ohki, Matashige Oyabu, Kikuo Fujimura:
Classification of Chain-Link and Other Data with Spherical SOM. WSOM 2012: 35-44 - [c10]Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa, Makoto Ohki:
Verification of Metabolic Syndrome Checkup Data with a Self-Organizing Map (SOM): Towards a Simple Judging Tool. WSOM 2012: 275-284 - 2011
- [c9]Makoto Ohki, Hideaki Kinjo:
Nurse Scheduling by Cooperative GA with Penalty Coefficient Adjustment. IJCCI (ECTA-FCTA) 2011: 255-258 - [c8]Makoto Ohki, Hideaki Kinjo:
Penalty weight adjustment in cooperative GA for nurse scheduling. NaBIC 2011: 75-80 - 2010
- [c7]Koki Sato, Masataka Tozuka, Makoto Ohki, Kunihiko Takano:
Three-Dimensional TV Using Holographic Stereogram. ACIS-ICIS 2010: 836-839 - [c6]Kunihiko Takano, Hideto Ishii, Asuka Watanabe, Tomoyuki Seino, Koki Sato, Makoto Ohki, Kikuo Asai:
Examination about Expansion of Displaying Volume in Projection Type Electro-holography (II). ACIS-ICIS 2010: 840-845
2000 – 2009
- 2008
- [c5]Shin-ya Uneme, Hikaru Kawano, Makoto Ohki:
Nurse Scheduling by Cooperative GA with Variable Mutation Operator. ICEIS (2) 2008: 249-252 - 2007
- [c4]Makoto Ohki, Shin-ya Uneme, Shigeto Hayashi, Masaaki Ohkita:
Effective genetic operators of cooperative genetic algorithm for nurse scheduling. ICINCO-ICSO 2007: 347-350 - 2002
- [c3]George Nyauma Nyakoe, Makoto Ohki, Suichiro Tabuchi, Masaaki Ohkita:
Optimization of Pulse Pattern for a Multi-robot Sonar System Using Genetic Algorithm. IEA/AIE 2002: 179-189 - [c2]George Nyauma Nyakoe, Makoto Ohki, Suichiro Tabuchi:
Acquisition of modulation pulses for a multi-robot system using genetic algorithm. SAC 2002: 568-573 - 2000
- [j2]Makoto Ohki, Syuhei Hayashi, Masaaki Ohkita:
A fast computational algorithm of a fuzzy reasoning using the product-sum-gravity method. Syst. Comput. Jpn. 31(3): 40-48 (2000)
1990 – 1999
- 1999
- [j1]Makoto Ohki, Toshiaki Moriyama, Masaaki Ohkita:
Optimization of fuzzy reasoning by genetic algorithm using variable bit-selection probability. Syst. Comput. Jpn. 30(6): 54-63 (1999) - 1991
- [c1]Makoto Ohki, Sumihisa Hashiguchi:
A new 2-D LMS adaptive algorithm. ICASSP 1991: 2113-2116
Coauthor Index
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