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2020 – today
- 2024
[j65]Hangyu Deng
, Jinglu Hu:
SSE4Rec: Sequential recommendation with subsequence extraction. Knowl. Based Syst. 285: 111364 (2024)- [i4]Yonghao Yu, Shunan Zhu, Jinglu Hu:
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures. CoRR abs/2401.17746 (2024) - 2023
- [j64]Bo Zhou, Benhui Chen, Jinglu Hu:
Authors' Reply to the Comments by Kamata et al. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(11): 1446-1449 (2023) - [j63]Xiao Fu, Hangyu Deng, Xin Yuan, Jinglu Hu:
Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search. IEEE Trans. Multim. 25: 3763-3772 (2023) - [c157]Na Wang, Gaofei Wu, Jingfeng Rong, Zheng Yan, Qiuling Yue, Jinglu Hu, Yuqing Zhang:
Cross-Border Data Security from the Perspective of Risk Assessment. ISPEC 2023: 91-104 - [c156]Ying Li, Yuhao Lin, Yongchao Zhong, Qiuling Yue, Jinglu Hu, Wenjie Wang, Huiyang Shi, Yuqing Zhang:
Multimodal Software Defect Severity Prediction Based on Sentiment Probability. ISPEC 2023: 250-265 - 2022
- [j62]Jiaying Wu, Jinglu Hu:
Redefining prior feature space via finetuning a triplet network for few-shot learning. IET Comput. Vis. 16(6): 514-524 (2022) - [j61]Jiaying Wu, Jinglu Hu:
Improved prior selection using semantics in maximum a posteriori for few-shot learning. Knowl. Based Syst. 237: 107688 (2022) - [j60]Fangzhou Xu, Jincheng Li, Gege Dong, Jianfei Li, Xinyi Chen, Jianqun Zhu, Jinglu Hu, Yang Zhang, Shouwei Yue, Dong Wen, Jiancai Leng:
EEG decoding method based on multi-feature information fusion for spinal cord injury. Neural Networks 156: 135-151 (2022) - [c155]Yuhao Lin, Ying Li, Mianxue Gu, Hongyu Sun, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang:
Vulnerability Dataset Construction Methods Applied To Vulnerability Detection: A Survey. DSN Workshops 2022: 141-146 - [c154]Jiaying Wu, Jinglu Hu:
Learning a Latent Space with Triplet Network for Few-Shot Image Classification. ICPR 2022: 5038-5044 - [c153]Hangyu Deng, Jinglu Hu:
Improving Sequential Recommendation via Subsequence Extraction. IJCNN 2022: 1-8 - [c152]Mianxue Gu, Hantao Feng, Hongyu Sun, Peng Liu, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang:
Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection. INFOCOM Workshops 2022: 1-6 - [c151]Xiao Fu, Xin Yuan, Jinglu Hu:
HSD: A hierarchical singing annotation dataset. ISM 2022: 245-246 - [i3]Xiao Fu, Xin Yuan, Jinglu Hu:
HSD: A hierarchical singing annotation dataset. CoRR abs/2209.15640 (2022) - 2021
- [j59]Jiaying Wu, Ning Dong, Fan Liu, Sai Yang, Jinglu Hu:
Feature hallucination via Maximum A Posteriori for few-shot learning. Knowl. Based Syst. 225: 107129 (2021) - [c150]Hansong Ren, Xuejun Li, Liao Lei, Guoliang Ou, Hongyu Sun, Gaofei Wu, Xiao Tian, Jinglu Hu, Yuqing Zhang:
Detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports. FCS 2021: 78-99 - [c149]Na Wang, Gaofei Wu, Qiuling Yue, Jinglu Hu, Yuqing Zhang:
Research on Security Assessment of Cross Border Data Flow. FCS 2021: 327-341 - [c148]Ying Li, Mianxue Gu, Hongyu Sun, Yuhao Lin, Qiuling Yue, Zhen Guo, Jinglu Hu, He Wang, Yuqing Zhang:
A Review of Data Representation Methods for Vulnerability Mining Using Deep Learning. FCS 2021: 342-351 - [c147]Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu:
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map. ICIP 2021: 689-693 - [c146]Hangyu Deng, Jia Luo, Jinglu Hu:
Attentive Relation Network for Object based Video Games. IJCNN 2021: 1-6 - [c145]Xin Yuan, Hangyu Deng, Jinglu Hu:
Deep Transfer Learning Based PPI Prediction for Protein Complex Detection. SMC 2021: 321-326 - [c144]Huilin Zhu, Yanni Ren, Jinglu Hu:
Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges. SMC 2021: 1705-1710 - [c143]Yanni Ren, Hangyu Deng, Hao Jiang, Huilin Zhu, Jinglu Hu:
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy. SMC 2021: 2973-2978 - [i2]Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu:
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy. CoRR abs/2104.06593 (2021) - [i1]Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu:
SGE net: Video object detection with squeezed GRU and information entropy map. CoRR abs/2106.07224 (2021) - 2020
- [j58]Jia Luo, Didier El Baz, Rui Xue, Jinglu Hu:
Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm. Future Gener. Comput. Syst. 108: 119-134 (2020) - [c142]Yanzhi Yi, Hangyu Deng, Jinglu Hu:
Improving Image Captioning Evaluation by Considering Inter References Variance. ACL 2020: 985-994 - [c141]Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu:
SAN: Sampling Adversarial Networks for Zero-Shot Learning. ICONIP (2) 2020: 626-638 - [c140]Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu:
Similitude Attentive Relation Network for Click-Through Rate Prediction. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j57]Yanling Tian, Qieshi Zhang, Ziliang Ren, Fuxiang Wu, Pengyi Hao, Jinglu Hu:
Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. IEEE Access 7: 185179-185188 (2019) - [c139]Xin Yuan, Weite Li, Kui Lin, Jinglu Hu:
A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction. CITS 2019: 1-5 - [c138]Huilin Zhu, Jinglu Hu:
Air Quality Forecasting Using SVR with Quasi-Linear Kernel. CITS 2019: 1-5 - [c137]Tong Liu, Shan Liang, Jinglu Hu:
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. ECC 2019: 3619-3624 - [c136]Yanni Ren, Weite Li, Jinglu Hu:
A Semi-supervised Classification Using Gated Linear Model. IJCNN 2019: 1-7 - 2018
- [c135]Lester James V. Miranda, Jinglu Hu:
A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction. COMPSAC (1) 2018: 480-485 - [c134]Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu:
A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. ICPR 2018: 746-751 - [c133]Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin:
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN 2018: 1-6 - [c132]Yiping Sun, Yu Cui, Jinglu Hu, Weijia Jia:
Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection. KSEM (1) 2018: 514-522 - [c131]Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu:
One-Class Classification Using Quasi-Linear Support Vector Machine. SMC 2018: 662-667 - [c130]Lester James V. Miranda, Jinglu Hu:
Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction. SMC 2018: 1337-1342 - [c129]Peifeng Liang, Xueqin Yao, Jinglu Hu:
A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM. SMC 2018: 1641-1646 - [c128]Yu Cui, Yiping Sun, Jinglu Hu, Gehao Sheng:
A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs. SMC 2018: 3057-3062 - [c127]Jia Luo, Didier El Baz, Jinglu Hu:
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem. SNPD 2018: 117-122 - 2017
- [j56]Lan Wang, Yu Cheng, Jinglu Hu, Jinling Liang, Abdullah M. Dobaie:
Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme. Complex. 2017: 8197602:1-8197602:12 (2017) - [c126]Weite Li, Jinglu Hu:
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. IJCNN 2017: 140-146 - [c125]Wenquan Wang, Ya Zhang, Jinglu Hu:
Distance metric learning with eigenvalue fine tuning. IJCNN 2017: 502-509 - [c124]Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu:
Large-scale image classification using fast SVM with deep quasi-linear kernel. IJCNN 2017: 1064-1071 - [c123]Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu:
Non-local information for a mixture of multiple linear classifiers. IJCNN 2017: 3741-3746 - [c122]Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu:
A mixture of multiple linear classifiers with sample weight and manifold regularization. IJCNN 2017: 3747-3752 - 2016
- [j55]Jun Zhang, Jinglu Hu:
Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2539-2546 (2016) - [j54]Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu:
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2558-2565 (2016) - [c121]Jun Zhang, Jinglu Hu:
A novel registration method based on coevolutionary strategy. CEC 2016: 2375-2380 - [c120]Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu:
Enhancing multi-label classification based on local label constraints and classifier chains. IJCNN 2016: 1458-1463 - [c119]Weite Li, Jinglu Hu, Benhui Chen:
A deep quasi-linear kernel composition method for support vector machines. IJCNN 2016: 1639-1645 - [c118]Weite Li, Bo Zhou, Jinglu Hu:
A kernel level composition of multiple local classifiers for nonlinear classification. IJCNN 2016: 3845-3850 - [c117]Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto:
A Lyapunov based switching control to track maximum power point of WECS. IJCNN 2016: 3883-3888 - 2015
- [j53]Jun Zhang, Jinglu Hu:
Context-Based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(5): 1114-1121 (2015) - [c116]Chao Dong, Bo Zhou, Jinglu Hu:
A hierarchical SVM based multiclass classification by using similarity clustering. IJCNN 2015: 1-6 - [c115]Di Fu, Bo Zhou, Jinglu Hu:
Improving SVM based multi-label classification by using label relationship. IJCNN 2015: 1-6 - [c114]Weite Li, Jinglu Hu:
Geometric approach of quasi-linear kernel composition for support vector machine. IJCNN 2015: 1-7 - [c113]Bo Zhou, Di Fu, Chao Dong, Jinglu Hu:
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification. IJCNN 2015: 1-7 - 2014
- [j52]Imam Sutrisno, Mohammad Abu Jami'in, Jinglu Hu:
Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network. Artif. Life Robotics 19(1): 22-26 (2014) - [j51]Imam Sutrisno, Chi Che, Jinglu Hu:
An improved adaptive switching control based on quasi-ARX neural network for nonlinear systems. Artif. Life Robotics 19(4): 347-353 (2014) - [j50]Bo Zhou, Benhui Chen, Jinglu Hu:
Quasi-Linear Support Vector Machine for Nonlinear Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(7): 1587-1594 (2014) - [c112]Yongxin Luo, Sheng Huang, Jinglu Hu:
A niching two-layered differential evolution with self-adaptive control parameters. IEEE Congress on Evolutionary Computation 2014: 1405-1412 - [c111]Peifeng Liang, Yancong Zhang, Kui Lin, Jinglu Hu:
A fast sequence assembly method based on compressed data structures. EMBC 2014: 326-329 - [c110]Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu, Norman Bin Mariun, Mohammad Hamiruce Marhaban:
An adaptive predictive control based on a quasi-ARX neural network model. ICARCV 2014: 253-258 - [c109]Juanxi Lin, Mengnan Song, Jinglu Hu:
An SMO Approach to Fast SVM for Classification of Large Scale Data. ICITCS 2014: 1-4 - [c108]Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu:
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification. IJCNN 2014: 1409-1415 - [c107]Chenlong Hu, Bo Zhou, Jinglu Hu:
Fast Support Vector Data Description training using edge detection on large datasets. IJCNN 2014: 2176-2182 - [c106]Wenxiang Dou, Jinglu Hu:
A half-split grid clustering algorithm by simulating cell division. IJCNN 2014: 2183-2189 - [c105]Yuling Lin, Yong Fu, Jinglu Hu:
Support vector machine with SOM-based quasi-linear kernel for nonlinear classification. IJCNN 2014: 3783-3789 - 2013
- [j49]Zhan Shi, Jinglu Hu:
A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(6): 1460-1467 (2013) - [j48]Yuling Lin, Wurong Shih, Jinglu Hu:
Development of Stock Evaluation System based on Quasi-Linear Regression Model. Int. J. Electron. Bus. Manag. 11(1) (2013) - [j47]Jinling Li, Haixiang Guo, Kejun Zhu, Deyun Wang, Jinglu Hu:
Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir. J. Digit. Inf. Manag. 11(6): 435-440 (2013) - [c104]Benhui Chen, Xuefen Hong, Lihua Duan, Jinglu Hu:
Improving multi-label classification performance by label constraints. IJCNN 2013: 1-5 - [c103]Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu:
Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network. IJCNN 2013: 1-5 - [c102]Yuling Lin, Haixiang Guo, Jinglu Hu:
An SVM-based approach for stock market trend prediction. IJCNN 2013: 1-7 - [c101]Bo Zhou, Cheng Yang, Haixiang Guo, Jinglu Hu:
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification. IJCNN 2013: 1-7 - 2012
- [j46]Han Sun, Haixiang Guo, Jinglu Hu, Kejun Zhu:
Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method. Appl. Soft Comput. 12(8): 2106-2113 (2012) - [j45]Haixiang Guo, Jinglu Hu, Shiwei Yu, Han Sun, Yuyan Chen:
Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions. Expert Syst. Appl. 39(10): 8514-8521 (2012) - [j44]Yu Cheng, Lan Wang, Jinglu Hu:
Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(5): 876-883 (2012) - [c100]Wenxiang Dou, Jinglu Hu:
Automated Web Data Mining Using Semantic Analysis. ADMA 2012: 539-551 - [c99]Benhui Chen, Lihua Duan, Jinglu Hu:
Composite kernel based SVM for hierarchical multi-label gene function classification. IJCNN 2012: 1-6 - [c98]Yu Cheng, Jinglu Hu:
Nonlinear system identification based on SVR with quasi-linear kernel. IJCNN 2012: 1-8 - [c97]Zhan Shi, Jinglu Hu:
Local linear discriminant analysis with composite kernel for face recognition. IJCNN 2012: 1-5 - [c96]Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu:
Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system. SMC 2012: 3147-3152 - 2011
- [j43]Yu Cheng, Lan Wang, Miao Yu, Jinglu Hu:
An efficient identification scheme for a nonlinear polynomial NARX model. Artif. Life Robotics 16(1): 70-73 (2011) - [j42]Yang Chen, Jinglu Hu:
Accurate Reconstruction for DNA Sequencing by Hybridization Based on a Constructive Heuristic. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 1134-1140 (2011) - [c95]Yu Cheng, Lan Wang, Jinglu Hu:
A Quasi-linear Approach for Microarray Missing Value Imputation. ICONIP (1) 2011: 233-240 - [c94]Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu:
Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection. SMC 2011: 1585-1590 - 2010
- [j41]Benhui Chen, Jinglu Hu:
An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(10): 1792-1799 (2010) - [j40]Benhui Chen, Weifeng Gu, Jinglu Hu:
An improved multi-label classification method and its application to functional genomics. Int. J. Comput. Biol. Drug Des. 3(2): 133-145 (2010) - [j39]Jun Zhang, Jinglu Hu:
Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning. J. Adv. Comput. Intell. Intell. Informatics 14(4): 375-381 (2010) - [c93]Yang Chen, Jinglu Hu:
eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization. BIBE 2010: 124-129 - [c92]Benhui Chen, Jinglu Hu:
An adaptive niching EDA based on clustering analysis. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c91]Jun Zhang, Jinglu Hu, Hong Zhu:
Glomeruli extraction by canny operator with a feedback strategy. ICDIP 2010: 75462M - [c90]Jun Zhang, Jinglu Hu:
A Hierarchical Clustering Method for Color Quantization. ICPR 2010: 786-789 - [c89]Benhui Chen, Weifeng Gu, Jinglu Hu:
An improved multi-label classification based on label ranking and delicate boundary SVM. IJCNN 2010: 1-6 - [c88]Gufei Sun, Jinglu Hu, Gengfeng Wu:
A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface. IJCNN 2010: 1-6 - [c87]Lan Wang, Yu Cheng, Jinglu Hu:
Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. IJCNN 2010: 1-7 - [c86]Benhui Chen, Jinglu Hu:
Hierarchical Multi-label Classification incorporating prior information for gene function prediction. ISDA 2010: 231-236 - [c85]Zhan Shi, Jinglu Hu:
Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism. ISDA 2010: 330-335 - [c84]Benhui Chen, Feiran Sun, Jinglu Hu:
Local linear multi-SVM method for gene function classification. NaBIC 2010: 183-188 - [c83]Zhan Shi, Jinglu Hu:
An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. NaBIC 2010: 233-238 - [c82]Weifeng Gu, Benhui Chen, Jinglu Hu:
Combining binary-SVM and pairwise label constraints for multi-label classification. SMC 2010: 4176-4181
2000 – 2009
- 2009
- [j38]Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Study of multi-branch structure of Universal Learning Networks. Appl. Soft Comput. 9(1): 393-403 (2009) - [j37]Weishui Wan, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Enhancing the generalization ability of neural networks through controlling the hidden layers. Appl. Soft Comput. 9(1): 404-414 (2009) - [j36]Benhui Chen, Jinglu Hu, Lihua Duan, Yinglong Gu:
Network Administrator Assistance System Based on Fuzzy C-means Analysis. J. Adv. Comput. Intell. Intell. Informatics 13(2): 91-96 (2009) - [j35]Qiangwei Wang, Boyang Li, Jinglu Hu:
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine. J. Adv. Comput. Intell. Intell. Informatics 13(4): 407-415 (2009) - [c81]Benhui Chen, Long Li, Jinglu Hu:
A novel EDAs based method for HP model protein folding. IEEE Congress on Evolutionary Computation 2009: 309-315 - [c80]Jiaxin Ma, Jingqiao Zhang, Jinglu Hu:
Glomerulus extraction by using genetic algorithm for edge patching. IEEE Congress on Evolutionary Computation 2009: 2474-2479 - [c79]Boyang Li, Qiangwei Wang, Jinglu Hu:
A fast SVM training method for very large datasets. IJCNN 2009: 1784-1789 - [c78]Jun Zhang, Jinglu Hu:
An automatic segmentation technique for color images based on SOFM neural network. IJCNN 2009: 3528-3533 - [c77]Qiangwei Wang, Boyang Li, Jinglu Hu:
Feature Selection for Human Resource Selection based on Affinity Propagation and SVM Sensitivity Analysis. NaBIC 2009: 31-36 - [c76]Yu Cheng, Lan Wang, Jinglu Hu:
A Two-step Method for Nonlinear Polynomial Model Identification based on Evolutionary Optimization. NaBIC 2009: 613-618 - [c75]Benhui Chen, Jinglu Hu:
A Novel Clustering based Niching EDA for Protein Folding. NaBIC 2009: 748-753 - [c74]Lan Wang, Yu Cheng, Jinglu Hu:
Adaptive Control for Nonlinear Systems based on quasi-ARX Neural Network. NaBIC 2009: 1548-1551 - [c73]Bo Zhou, Jinglu Hu:
A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series. NaBIC 2009: 1552-1555 - 2008
- [j34]Haiying Wang, Huiru Zheng, Jinglu Hu:
Poisson approach to clustering analysis of regulatory sequences. Int. J. Comput. Biol. Drug Des. 1(2): 141-157 (2008) - [j33]Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology. J. Adv. Comput. Intell. Intell. Informatics 12(1): 63-76 (2008) - [j32]DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
A Global Optimization Method RasID-GA for Neural Network Training. J. Adv. Comput. Intell. Intell. Informatics 12(1): 85-93 (2008) - [j31]Boyang Li, Jinglu Hu, Kotaro Hirasawa:
Support Vector Machine Classifier with WHM Offset for Unbalanced Data. J. Adv. Comput. Intell. Intell. Informatics 12(1): 94-101 (2008) - [j30]Kotaro Hirasawa, Toru Eguchi, Jin Zhou, Lu Yu, Jinglu Hu, Sandor Markon:
A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming. IEEE Trans. Syst. Man Cybern. Part C 38(4): 535-550 (2008) - [c72]Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng Wu:
Distributed multi-relational data mining based on genetic algorithm. IEEE Congress on Evolutionary Computation 2008: 744-750 - [c71]Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
Solving deceptive problems using a genetic algorithm with reserve selection. IEEE Congress on Evolutionary Computation 2008: 884-889 - [c70]Jun Zhang, Jinglu Hu:
Image Segmentation Based on 2D Otsu Method with Histogram Analysis. CSSE (6) 2008: 105-108 - [c69]Jun Zhang, Jinglu Hu:
Nuclei Extraction Based on Multi-channel Information. DICTA 2008: 59-64 - [c68]Yiheng Xu, Qiangwei Wang, Jinglu Hu:
An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms. IAT 2008: 79-82 - [c67]Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection. ICNSC 2008: 1511-1516 - [c66]Boyang Li, Jinglu Hu, Kotaro Hirasawa:
Financial time series prediction using a support vector regression network. IJCNN 2008: 621-627 - [c65]Jun Zhang, Jinglu Hu:
Curvilinear thresholding method for noisy images based on 2D histogram. ROBIO 2008: 1014-1019 - 2007
- [j29]Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu Hu:
An approximate stability analysis of nonlinear systems described by Universal Learning Networks. Appl. Soft Comput. 7(3): 642-651 (2007) - [j28]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning. Evol. Comput. 15(3): 369-398 (2007) - [j27]Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Actor-Critic. J. Adv. Comput. Intell. Intell. Informatics 11(1): 79-86 (2007) - [j26]Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules. J. Adv. Comput. Intell. Intell. Informatics 11(3): 343-353 (2007) - [j25]DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Optimization Method RasID-GA for Numerical Constrained Optimization Problems. J. Adv. Comput. Intell. Intell. Informatics 11(5): 469-477 (2007) - [j24]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation. J. Adv. Comput. Intell. Intell. Informatics 11(9): 1149-1158 (2007) - [c64]Huiru Zheng, Haiying Wang, Jinglu Hu:
Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure. BIBE 2007: 1220-1224 - [c63]Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with sarsa learning and its application to creating stock trading rules. IEEE Congress on Evolutionary Computation 2007: 220-227 - [c62]Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Stock trading rules using genetic network programming with actor-critic. IEEE Congress on Evolutionary Computation 2007: 508-515 - [c61]Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. IEEE Congress on Evolutionary Computation 2007: 705-712 - [c60]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. IEEE Congress on Evolutionary Computation 2007: 1015-1022 - [c59]Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining association rules from databases with continuous attributes using genetic network programming. IEEE Congress on Evolutionary Computation 2007: 1311-1317 - [c58]Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck elevator systems using Genetic Network Programming with reinforcement learning. IEEE Congress on Evolutionary Computation 2007: 2025-2031 - [c57]DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Training of Multi-Branch Neural Networks using RasID-GA. IEEE Congress on Evolutionary Computation 2007: 2064-2070 - [c56]Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
Performance tuning of genetic algorithms with reserve selection. IEEE Congress on Evolutionary Computation 2007: 2202-2209 - [c55]Eloy Gonzales, Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Class association rule mining for large and dense databases with parallel processing of genetic network programming. IEEE Congress on Evolutionary Computation 2007: 4615-4622 - [c54]Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
GARS: an improved genetic algorithm with reserve selection for global optimization. GECCO 2007: 1173-1178 - [c53]Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. GECCO 2007: 1476-1483 - [c52]Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Trading rules on stock markets using genetic network programming with sarsa learning. GECCO 2007: 1503 - [c51]Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with parallel processing for association rule mining in large and dense databases. GECCO 2007: 1512 - [c50]Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Association rule mining for continuous attributes using genetic network programming. GECCO 2007: 1758 - [c49]Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with actor-critic and its application to stock trading model. GECCO 2007: 2263 - [c48]Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Huiru Zheng:
A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning. ISNN (1) 2007: 403-412 - 2006
- [j23]Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Acquisition Mechanisms of Association Rules. J. Adv. Comput. Intell. Intell. Informatics 10(1): 102-111 (2006) - [j22]Toru Eguchi, Jin Zhou, Shinji Eto, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization. J. Adv. Comput. Intell. Intell. Informatics 10(3): 385-394 (2006) - [j21]Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Realizing Functional Localization Using Genetic Network Programming with Importance Index. J. Adv. Comput. Intell. Intell. Informatics 10(4): 555-566 (2006) - [j20]DongKyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm. J. Adv. Comput. Intell. Intell. Informatics 10(6): 921-930 (2006) - [j19]Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families. J. Adv. Comput. Intell. Intell. Informatics 10(6): 954-963 (2006) - [j18]Kotaro Hirasawa, Shingo Mabu, Jinglu Hu:
Propagation and control of stochastic signals through universal learning networks. Neural Networks 19(4): 487-499 (2006) - [j17]Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Nathan Ota:
A study of evolutionary multiagent models based on symbiosis. IEEE Trans. Syst. Man Cybern. Part B 36(1): 179-193 (2006) - [c47]Shingo Mabu, Hiroyuki Hatakeyama, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm. IEEE Congress on Evolutionary Computation 2006: 463-469 - [c46]Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic. IEEE Congress on Evolutionary Computation 2006: 1537-1543 - [c45]DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
RasID-GA with Simplex Crossover(SPX) for Optimization problems. IEEE Congress on Evolutionary Computation 2006: 3021-3028 - [c44]Jin Zhou, Toru Eguchi, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System. IEEE Congress on Evolutionary Computation 2006: 3035-3041 - [c43]Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth A. Marko:
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. IJCNN 2006: 587-592 - [c42]Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kotaro Hirasawa:
Effective Training Methods for Function Localization Neural Networks. IJCNN 2006: 4785-4790 - [c41]Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming. ICDM 2006: 202-216 - [c40]Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming. SMC 2006: 5338-5344 - 2005
- [j16]Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, Jinglu Hu:
Genetic Network Programming for Automatic Program Generation. J. Adv. Comput. Intell. Intell. Informatics 9(4): 430-436 (2005) - [c39]Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Elevator group supervisory control system using genetic network programming with functional localization. Congress on Evolutionary Computation 2005: 328-335 - [c38]Jin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Elevator group supervisory control system using genetic network programming with reinforcement learning. Congress on Evolutionary Computation 2005: 336-342 - [c37]DongKyu Sohn, Kotaro Hirasawa, Jinglu Hu:
Adaptive random search with intensification and diversification combined with genetic algorithm. Congress on Evolutionary Computation 2005: 1462-1469 - [c36]Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database. CIMCA/IAWTIC 2005: 47-54 - [c35]Shinji Eto, Kotaro Hirasawa, Jinglu Hu:
Switching for functional localization of genetic network programming. ICMLA 2005 - [c34]Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu:
Multi-branch Neural Networks and Its Application to Stock Price Prediction. KES (1) 2005: 1-7 - 2004
- [c33]Shinji Eto, Kotaro Hirasawa, Jinglu Hu:
Functional localization of genetic network programming and its application to a pursuit problem. IEEE Congress on Evolutionary Computation 2004: 683-690 - [c32]Hiroshi Nakagoe, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with automatically generated variable size macro nodes. IEEE Congress on Evolutionary Computation 2004: 713-719 - [c31]Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Elevator group supervisory control systems using genetic network programming. IEEE Congress on Evolutionary Computation 2004: 1661-1667 - [c30]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. GECCO (2) 2004: 710-711 - 2003
- [j15]Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
A functions localized neural network with branch gates. Neural Networks 16(10): 1461-1481 (2003) - [c29]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with learning and evolution for adapting to dynamical environments. IEEE Congress on Evolutionary Computation 2003: 69-76 - [c28]Toru Eguchi, Kotaro Hirasawa, Jinglu Hu:
Symbiotic evolutional models in multiagent systems. IEEE Congress on Evolutionary Computation 2003: 739-746 - [c27]Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu:
Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. ESANN 2003: 173-178 - [c26]Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu:
Multi-branch neural networks with Branch Control. SMC 2003: 756-761 - 2002
- [c25]Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Online learning of genetic network programming (GNP). IEEE Congress on Evolutionary Computation 2002: 321-326 - [c24]Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming. GECCO Late Breaking Papers 2002: 130-137 - [c23]Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem. GECCO Late Breaking Papers 2002: 279-286 - [c22]Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language. GECCO Late Breaking Papers 2002: 412-418 - [c21]Jiangming Mao, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Increasing Robustness Of Genetic Algorithm. GECCO 2002: 456-462 - [c20]Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
A New Model To Realize Variable Size Genetic Network Programming. GECCO 2002: 890 - 2001
- [j14]Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru:
A homotopy approach to improving PEM identification of ARMAX models. Autom. 37(9): 1323-1334 (2001) - [j13]Kotaro Hirasawa, Sung-Ho Kim, Jinglu Hu, Junichi Murata, Min Han, Chunzhi Jin:
Improvement of generalization ability for identifying dynamical systems by using universal learning networks. Neural Networks 14(10): 1389-1404 (2001) - [j12]Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin:
A new control method of nonlinear systems based on impulse responses of universal learning networks. IEEE Trans. Syst. Man Cybern. Part B 31(3): 362-372 (2001) - [c19]Jinglu Hu, Kotaro Hirasawa:
A Hierarchical Method for Training Embedded Sigmoidal Neural Networks. ICANN 2001: 937-942 - [c18]Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Comparative study between functions distributed network and ordinary neural network. SMC 2001: 1548-1553 - 2000
- [j11]Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin:
Universal learning network and its application to chaos control. Neural Networks 13(2): 239-253 (2000) - [j10]Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin:
Chaos control on universal learning networks. IEEE Trans. Syst. Man Cybern. Part C 30(1): 95-104 (2000) - [j9]Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin:
Universal learning network and its application to robust control. IEEE Trans. Syst. Man Cybern. Part B 30(3): 419-430 (2000) - [c17]Kotaro Hirasawa, Y. Ishikawa, Jinglu Hu, J. Murata, Jiangming Mao:
Genetic symbiosis algorithm. CEC 2000: 1377-1384 - [c16]Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi:
Universal Learning Networks with Branch Control. IJCNN (3) 2000: 97-102 - [c15]Jinglu Hu, Kotaro Hirasawa:
Overlapped Multi-Neural-Network: A Case Study. IJCNN (1) 2000: 120-125 - [c14]Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Min Max Control of Nonlinear Systems Using Universal Learning Networks. IJCNN (1) 2000: 242-247 - [c13]Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin:
A New Method to Prune the Neural Network. IJCNN (6) 2000: 449-454 - [c12]Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Self-organization in probabilistic neural networks. SMC 2000: 2533-2538 - [c11]Jonas B. Waller, Jinglu Hu, Kotaro Kirasawa:
Nonlinear model predictive control utilizing a neuro-fuzzy predictor. SMC 2000: 3459-3464 - [c10]Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming - application to intelligent agents. SMC 2000: 3829-3834
1990 – 1999
- 1999
- [j8]Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru:
LimNet-Flexible Learning Network Containing Linear Properties. J. Adv. Comput. Intell. Intell. Informatics 3(4): 303-311 (1999) - [j7]Kotaro Hirasawa, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin, Yurio Eki:
Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory. J. Adv. Comput. Intell. Intell. Informatics 3(4): 312-319 (1999) - [j6]Jinglu Hu, Kotaro Hirasawa, Junichi Murata, Chunzhi Jin, Takuya Matsuoka:
Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems. J. Adv. Comput. Intell. Intell. Informatics 3(6): 485-490 (1999) - [j5]Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru:
Neurofuzzy Approach to Fault Detection of Nonlinear Systems. J. Adv. Comput. Intell. Intell. Informatics 3(6): 524-531 (1999) - [c9]Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru:
Adaptive predictor for control of nonlinear systems based on neurofuzzy models. ECC 1999: 4337-4342 - [c8]Jinglu Hu, Kotaro Hirasawa:
Object oriented learning network and its applications. IJCNN 1999: 1298-1301 - [c7]Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Hironobu Etoh, Hironobu Katagiri:
Universal learning networks with varying parameters. IJCNN 1999: 1302-1307 - [c6]Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Kazuaki Yotsumoto, Hironobu Katagiri:
Identification of nonlinear dynamic systems by using probabilistic universal learning networks. IJCNN 1999: 2123-2128 - 1998
- [j4]Kotaro Hirasawa, Jinglu Hu, Masanao Ohbayashi, Junichi Murata:
Computing Higher Order Derivatives in Universal Learning Networks. J. Adv. Comput. Intell. Intell. Informatics 2(2): 47-53 (1998) - [j3]Jinglu Hu, Kotaro Hirasawa, Junichi Murata:
RasID - Random Search for Neural Network Training. J. Adv. Comput. Intell. Intell. Informatics 2(4): 134-141 (1998) - [j2]Kotaro Hirasawa, Junichiro Misawa, Jinglu Hu, Junichi Murata, Masanao Ohbayashi, Yurio Eki:
Chaos Universal Learning Network Clustering Control. J. Robotics Mechatronics 10(4): 305-310 (1998) - [j1]Kotaro Hirasawa, Masanao Ohbayashi, Singo Sakai, Jinglu Hu:
Learning Petri network and its application to nonlinear system control. IEEE Trans. Syst. Man Cybern. Part B 28(6): 781-789 (1998) - [c5]Naohiro Kusumi, Kotaro Hirasawa, Jinglu Hu, Masaaki Takesue:
A new modeling method for symbiosis phenomena. SMC 1998: 1335-1340 - [c4]Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu:
Chaos control using maximum Lyapunov number of universal learning network. SMC 1998: 1702-1707 - [c3]Min Han, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Generalization ability of universal learning network by using second order derivatives. SMC 1998: 1818-1823 - [c2]Kotaro Hirasawa, Masanao Ohbayashi, Masayuki Hashimoto, Jinglu Hu, Junichi Murata:
A new nonlinear system control method using second order derivatives of universal learning network. SMC 1998: 3775-3780 - 1997
- [c1]Min Han, Masanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Jinglu Hu:
Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay. ICONIP (1) 1997: 371-374
Coauthor Index
[j38] [j37] [j33] [j32] [j31] [j30] [c72] [c71] [c67] [c66] [j29] [j28] [j27] [j26] [j25] [j24] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [j16] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [j15] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j14] [j13] [j12] [c19] [c18] [j11] [j10] [j9] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [j8] [j7] [j6] [j5] [c9] [c8] [c7] [c6] [j4] [j3] [j2] [j1] [c5] [c4] [c3] [c2] [c1]
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