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ORCIDInternational Journal of Computational Intelligence Studies, Volume 7
Volume 7, Number 1, 2018
- Mrutyunjaya Panda:
Combining multi-objective evolutionary algorithm with averaged one-dependence estimators for big data analytics. 1-18 - Shiva Rahbar Arabani, Mohammad Reza Reshadinezhad, Majid Haghparast:
Design of a parity preserving reversible full adder/subtractor circuit. 19-32 - S. V. Aruna Kumar, B. S. Harish, P. Shivakumara:
A novel fuzzy clustering based system for medical image segmentation. 33-66 - Khaled E. Ali, Sherif A. Mazen, Ehab Hassanein:
Assessment of cloud computing adoption models in e-government environment. 67-92
Volume 7, Number 2, 2018
- Rodica Ioana Lung:
Adaptive artificial chemistry for Nash equilibria approximation. 93-102 - Nikolaos D. Almalis, George A. Tsihrintzis, Evangelos Kyritsis:
A constraint-based job recommender system integrating FoDRA. 103-123 - Jasleen Kaur, Jatinderkumar R. Saini:
Automatic classification of Punjabi poetries using poetic features. 124-137 - Antonis Agrios, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Computer aided breast cancer diagnosis: an SVM-based mammogram classification approach. 138-163
Volume 7, Numbers 3/4, 2018
- Shin Kamada, Takumi Ichimura:
Fast training of adaptive structural learning method of deep learning for multi modal data. 169-191 - Keiichi Tamura, Takumi Ichimura:
Time series classification using MACD-histogram-based recurrence plot. 192-213 - Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao:
A generative model approach for visualising convolutional neural networks. 214-230 - Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Search performance analysis of qubit convergence measure for quantum-inspired evolutionary algorithm introducing on maximum cut problem. 231-252 - SeungYong Yoon, Hirohisa Seki:
Mining non-redundant recurrent rules from a sequence database. 253-269 - Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Acquisition of characteristic sets of block preserving outerplanar graph patterns by a two-stage evolutionary learning method for graph pattern sets. 270-288 - Motonobu Hattori, Shunta Nakano:
Characteristics of contrastive Hebbian learning with pseudorehearsal for multilayer neural networks on reduction of catastrophic forgetting. 289-311
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