Yusuke Nojima

2008
19	EE	Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Evolutionary Multi-objective Rule Selection for Classification Rule Mining. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 47-70
2007
18	EE	Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara: Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. GECCO 2007: 829-836
17	EE	Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection. KES (2) 2007: 509-516
16	EE	Hisao Ishibuchi, Yusuke Nojima: Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reasoning 44(1): 4-31 (2007)
15	EE	Yusuke Nojima, Hisao Ishibuchi: Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design. Int. J. Hybrid Intell. Syst. 4(3): 157-169 (2007)
2006
14	EE	Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO 2006: 51-65
13	EE	Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO 2006: 1591-1592
12	EE	Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi: Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742
11	EE	Yusuke Nojima, Hisao Ishibuchi: Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS 2006: 59
10	EE	Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) 2006: 86-93
9	EE	Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN 2006: 493-502
8	EE	Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN 2006: 949-958
7	EE	Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning 2006: 507-530
6	EE	Hisao Ishibuchi, Yusuke Nojima: Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers. Int. J. Hybrid Intell. Syst. 3(3): 129-145 (2006)
5	EE	Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda: Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot. Soft Comput. 10(10): 891-901 (2006)
2005
4	EE	Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi: Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. EMO 2005: 341-354
3	EE	Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima: An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824
2	EE	Hisao Ishibuchi, Yusuke Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS 2005: 271-276
2000
1	EE	Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda: Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks. IJCNN (6) 2000: 311-316

Coauthor Index

1	Tsutomu Doi	[8] [9] [12]
2	Toshio Fukuda	[1] [5]
3	Hisao Ishibuchi	[2] [3] [4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19]
4	Shiori Kaige	[4]
5	Fumio Kojima	[1] [5]
6	Naoyuki Kubota	[1] [5]
7	Isao Kuwajima	[10] [13] [17] [19]
8	Kaname Narukawa	[3] [4] [12]
9	Ken Ohara	[18]
10	Noritaka Tsukamoto	[18]

Colors in the list of coauthors