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ORCIDInternational Journal of Machine Learning and Cybernetics, Volume 12
Volume 12, Number 1, January 2021
- You Li, Huaxiong Li, Bo Wang
, Min Zhou, Mei Jin:
Multi-objective unit commitment optimization with ultra-low emissions under stochastic and fuzzy uncertainties. 1-15 - Chengxiang Hu, Li Zhang:
Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data. 17-38 - Jinkun Chen, Jusheng Mi, Bin Xie, Yaojin Lin:
Attribute reduction in formal decision contexts and its application to finite topological spaces. 39-52 - Gizem Nur Karagoz, Adnan Yazici, Tansel Dökeroglu, Ahmet Cosar:
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data. 53-71 - Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao:
Fine-grained pornographic image recognition with multiple feature fusion transfer learning. 73-86 - Hangxu Ji, Gang Wu, Guoren Wang:
Accelerating ELM training over data streams. 87-102 - Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng:
Causative label flip attack detection with data complexity measures. 103-116 - Shanshan Liu, Wenjie Nie, Dongfa Gao, Hao Yang, Jun Yan, Tianyong Hao:
Clinical quantitative information recognition and entity-quantity association from Chinese electronic medical records. 117-130 - Andrea H. del Río, Itzel Aranguren, Diego Oliva, Mohamed E. Abd Elaziz, Erik Cuevas:
Efficient image segmentation through 2D histograms and an improved owl search algorithm. 131-150 - Bo Li, Zeshui Xu, Yixin Zhang:
Two-stage multi-sided matching dispatching models based on improved BPR function with probabilistic linguistic term sets. 151-169 - Oualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
A weighted exponential discriminant analysis through side-information for face and kinship verification using statistical binarized image features. 171-185 - Qianqian Wang, Haitao Zhao, Zhengwei Hu, Yuru Chen, Yuqi Li:
Discrete convolutional CRF networks for depth estimation from monocular infrared images. 187-200 - Zewen Li, Yichao He, Ya Li, Xiaohu Guo:
A hybrid grey wolf optimizer for solving the product knapsack problem. 201-222 - Xin Yuan, Michael John Liebelt, Peng Shi, Braden J. Phillips:
Creating rule-based agents for artificial general intelligence using association rules mining. 223-230 - Adolfo Perrusquía, Wen Yu, Xiaoou Li:
Multi-agent reinforcement learning for redundant robot control in task-space. 231-241 - Weikang Li, Jinjin Li, Jianxin Huang, Weizhong Dai, Xiaoping Zhang:
A new rough set model based on multi-scale covering. 243-256 - Zhongwu Xie, Weipeng Cao, Zhong Ming:
A further study on biologically inspired feature enhancement in zero-shot learning. 257-269 - Chunkai Zhang, Wei Zuo, Ao Yin, Xuan Wang, Chuanyi Liu:
ADET: anomaly detection in time series with linear time. 271-280
Volume 12, Number 2, February 2021
- Yunlong Cheng, Qinghua Zhang, Guoyin Wang:
Optimal scale combination selection for multi-scale decision tables based on three-way decision. 281-301 - Mohammad Masoud Javidi:
Feature selection schema based on game theory and biology migration algorithm for regression problems. 303-342 - Jun Liu, Shuang Zheng, Guangxia Xu, Mingwei Lin:
Cross-domain sentiment aware word embeddings for review sentiment analysis. 343-354 - Tongxuan Zhang, Hongfei Lin, Michael M. Tadesse, Yuqi Ren, Xiaodong Duan, Bo Xu:
Chinese medical relation extraction based on multi-hop self-attention mechanism. 355-363 - Seyed Mohsen Fatemi, Seyed Mohsen Hosseini, Ali Kamandi, Mahmood Shabankhah:
CL-MAX: a clustering-based approximation algorithm for mining maximal frequent itemsets. 365-383 - Hasna Fourati, Rihab Maaloul, Lamia Chaari:
A survey of 5G network systems: challenges and machine learning approaches. 385-431 - Xi-Ao Ma:
Fuzzy entropies for class-specific and classification-based attribute reducts in three-way probabilistic rough set models. 433-457 - Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
A bipartite matching-based feature selection for multi-label learning. 459-475 - Shi Feng, Kaisong Song, Daling Wang, Wei Gao, Yifei Zhang:
InterSentiment: combining deep neural models on interaction and sentiment for review rating prediction. 477-488 - Shumei Zhang, Victor Callaghan:
Real-time human posture recognition using an adaptive hybrid classifier. 489-499 - Ping Yuan, Biao Wang, Zhizhong Mao:
Using multiple classifier behavior to develop a dynamic outlier ensemble. 501-513 - Radhia Fezai, Kamaleldin Abodayeh, Majdi Mansouri, Hazem N. Nounou, Mohamed N. Nounou:
Fault diagnosis of biological systems using improved machine learning technique. 515-528 - Weibo Liu, Zidong Wang, Nianyin Zeng, Yuan Yuan, Fuad E. Alsaadi, Xiaohui Liu:
A novel randomised particle swarm optimizer. 529-540 - Ling Ding, Shifei Ding, Yanru Wang, Lijuan Wang, Hongjie Jia:
M-pSC: a manifold p-spectral clustering algorithm. 541-553 - Yanxia Li, Yi Chai, Hongpeng Yin, Bo Chen:
A novel feature learning framework for high-dimensional data classification. 555-569 - Gaurav Dhiman, Krishna Kant Singh, Adam Slowik, Victor Chang, Ali Riza Yildiz, Amandeep Kaur, Meenakshi Garg:
EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization. 571-596 - Tian Jin, Qiong Wu, Xuan Ou, Jianjun Yu:
Community detection and co-author recommendation in co-author networks. 597-609
Volume 12, Number 3, March 2021
- Juntao Fei, Zhilin Feng:
Adaptive super-twisting sliding mode control for micro gyroscope based on double loop fuzzy neural network structure. 611-624 - Yanghua Fan, Dongfang Li, Yifan Liu, Ming Feng, Qingcai Chen, Renzhi Wang:
Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach. 625-633 - Ali Hassani, Amir Iranmanesh, Mahdi Eftekhari, Abbas Salemi:
DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering. 635-649 - Bolin Chen, Tiesong Zhao, Jiahui Liu, Liqun Lin:
Multipath feature recalibration DenseNet for image classification. 651-660 - Dajun Ye, Decui Liang, Tao Li, Shujing Liang:
Multi-classification decision-making method for interval-valued intuitionistic fuzzy three-way decisions and its application in the group decision-making. 661-687 - Yugen Yi, Yanjiao Shi, Wenle Wang, Gang Lei, Jiangyan Dai, Hao Zheng:
Combining Boundary Detector and SND-SVM for Fast Learning. 689-698 - Sudipta Midya, Sankar Kumar Roy, Vincent F. Yu:
Intuitionistic fuzzy multi-stage multi-objective fixed-charge solid transportation problem in a green supply chain. 699-717 - Xiaofei Yang, Zhiling Cai, Ruijia Li, William Zhu:
GDPC: generalized density peaks clustering algorithm based on order similarity. 719-731 - Chao Zhang, Huaxiong Li, Chunlin Chen, Xianzhong Zhou:
Nonnegative representation based discriminant projection for face recognition. 733-745 - Samaneh Rezaei, Jafar Tahmoresnezhad, Vahid Solouk:
A transductive transfer learning approach for image classification. 747-762 - Intisar Md Chowdhury, Kai Su, Qiangfu Zhao:
MS-NET: modular selective network. 763-781 - Laith Mohammad Abualigah, Bisan Alsalibi, Mohammad Shehab, Mohammad Alshinwan, Ahmad M. Khasawneh, Hamzeh Alabool:
A parallel hybrid krill herd algorithm for feature selection. 783-806 - Lin Guo, Qun Dai:
Laplacian regularized low-rank sparse representation transfer learning. 807-821 - Danfeng Zhuang, Min Jiang, Jun Kong, Tianshan Liu:
Spatiotemporal attention enhanced features fusion network for action recognition. 823-841 - Nectarios Costadopoulos, Md Zahidul Islam, David Tien:
A knowledge discovery and visualisation method for unearthing emotional states from physiological data. 843-858 - Wen-hui Hou, Yi-Ting Wang, Jian-qiang Wang, Peng-Fei Cheng, Lin Li:
Intuitionistic fuzzy c-means clustering algorithm based on a novel weighted proximity measure and genetic algorithm. 859-875 - Hongmin Liu, Yujie Liu, Miaomiao Fu, Yuhui Wei, Zhanqiang Huo, Yingxu Qiao:
Towards learning line descriptors from patches: a new paradigm and large-scale dataset. 877-890 - Mengwei Zhao, Guiwu Wei, Cun Wei, Jiang Wu:
Improved TODIM method for intuitionistic fuzzy MAGDM based on cumulative prospect theory and its application on stock investment selection. 891-901
Volume 12, Number 4, April 2021
- Qingshan She, Jie Zou, Ming Meng, Yingle Fan, Zhizeng Luo:
Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification. 903-916 - Peng Li, Nannan Wang, Cuiping Wei, Na Zhang:
A two-sided matching method considering the lowest value of acceptability with regret theory for probabilistic linguistic term sets. 917-930 - Ying Yu, Huilin Zhu, Lewei Wang, Witold Pedrycz:
Dense crowd counting based on adaptive scene division. 931-942 - Fei Xue, Tingting Dong, Siqing You, Yan Liu, Hengliang Tang, Lei Chen, Xi Yang, Juntao Li:
A hybrid many-objective competitive swarm optimization algorithm for large-scale multirobot task allocation problem. 943-957 - Weili Zhou, Zhen Zhu:
A novel BNMF-DNN based speech reconstruction method for speech quality evaluation under complex environments. 959-972 - Chenyang Song, Zeshui Xu, Jian Hou:
An improved TODIM method based on the hesitant fuzzy psychological distance measure. 973-985 - Weichao Yue, Xiao Liu, Sanyi Li, Weihua Gui, Yongfang Xie:
Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS. 987-1013 - Zhifeng Zhou, Rong Chen, Can Wang, Chengwei Zhang:
Dynamic pricing in profit-driven task assignment: a domain-of-influence based approach. 1015-1030 - Patrick P. K. Chan, Meng Xiao, Xinran Qin, Natasha Kees:
Dynamic fusion for ensemble of deep Q-network. 1031-1040 - Yi Xu, Quan Wang, Weikang Sun:
Matrix-based incremental updating approximations in multigranulation rough set under two-dimensional variation. 1041-1065 - Niloofer Shanavas, Hui Wang, Zhiwei Lin, Glenn I. Hawe:
Knowledge-driven graph similarity for text classification. 1067-1081 - Guangyun Tan, Peipei Wei, Yongyi He, Huahu Xu, Xinxin Shi, Ping Yi:
An algorithm based on valuation forecasting for game tree search. 1083-1095 - Jianrui Chen, Bo Wang, Zhiping Ouyang, Zhihui Wang:
Dynamic clustering collaborative filtering recommendation algorithm based on double-layer network. 1097-1113 - Golnaz Baghdadi, Mahmood Amiri, Egidio Falotico, Cecilia Laschi:
Recurrence quantification analysis of EEG signals for tactile roughness discrimination. 1115-1136 - Sunil Aryal, KC Santosh, Richard Dazeley:
usfAD: a robust anomaly detector based on unsupervised stochastic forest. 1137-1150 - Kentaro Mori, Hiroshi Nakajima, Yutaka Hata:
Automated worker skill evaluation for improving productivity based on labeled LDA. 1151-1171 - Rihem Mahmoud, Selma Belgacem, Mohamed Nazih Omri:
Towards wide-scale continuous gesture recognition model for in-depth and grayscale input videos. 1173-1189 - Hong Zhu, Han Liu, Ai-Min Fu:
Class-weighted neural network for monotonic imbalanced classification. 1191-1201
Volume 12, Number 5, May 2021
- Chin-Hui Lai, Duen-Ren Liu, Kun-Sin Lien:
A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction. 1203-1217 - Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang:
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. 1219-1241 - Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding:
A robust spectral clustering algorithm based on grid-partition and decision-graph. 1243-1254 - Bhagat Singh Raghuwanshi, Sanyam Shukla:
Classifying imbalanced data using SMOTE based class-specific kernelized ELM. 1255-1280 - Santhoshkumar Srinivasan, L. D. Dhinesh Babu:
A social immunity based approach to suppress rumors in online social networks. 1281-1296 - Rui Li, Xiaodan Wang, Yafei Song, Lei Lei:
Hierarchical extreme learning machine with L21-norm loss and regularization. 1297-1310 - Umesh Gupta, Deepak Gupta:
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. 1311-1342 - Lingqiang Li, Bingxue Yao, Jianming Zhan, Qiu Jin:
L-fuzzifying approximation operators derived from general L-fuzzifying neighborhood systems. 1343-1367 - Arvind Mahindru, Amrit Lal Sangal:
SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches. 1369-1411 - Xiaoting Shang, Bin Jia, Kai Yang, Yaping Yuan, Hao Ji:
A credibility-based fuzzy programming model for the hierarchical multimodal hub location problem with time uncertainty in cargo delivery systems. 1413-1426 - Han Bao, Weizhi Wu, Jia-Wen Zheng, Tong-Jun Li:
Entropy based optimal scale combination selection for generalized multi-scale information tables. 1427-1437 - Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao:
Attribution reduction based on sequential three-way search of granularity. 1439-1458 - Shengjun Liao, Xianyong Zhang, Zhiwen Mo:
Three-level and three-way uncertainty measurements for interval-valued decision systems. 1459-1481 - Ke Zhao, Hongkai Jiang, Li Xingqiu, Ruixin Wang:
Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis. 1483-1499 - Zhengwei Hu, Jingchao Peng, Haitao Zhao:
Dynamic neural orthogonal mapping for fault detection. 1501-1516 - Tahir Sag, Zainab Abdullah Jalil Jalil:
Vortex search optimization algorithm for training of feed-forward neural network. 1517-1544 - Xiuyi Jia, Ya Rao, Weiwei Li, Sichun Yang, Hong Yu:
An automatic three-way clustering method based on sample similarity. 1545-1556 - Chenglin Wen, Wenchao Qian, Qinghua Zhang, Feilong Cao:
Algorithms of matrix recovery based on truncated Schatten p-norm. 1557-1570
Volume 12, Number 6, June 2021
- Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding:
An improved density-based adaptive p-spectral clustering algorithm. 1571-1582 - Yuru Chen, Haitao Zhao, Zhengwei Hu, Jingchao Peng:
Attention-based context aggregation network for monocular depth estimation. 1583-1596 - Bowen Liu, Yujian Li, Ting Zhang, Zhaoying Liu:
Lp-norm probabilistic K-means clustering via nonlinear programming. 1597-1607 - Qian Liu, Hangyao Wu, Zeshui Xu:
Consensus model based on probability K-means clustering algorithm for large scale group decision making. 1609-1626 - Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao:
Caps-OWKG: a capsule network model for open-world knowledge graph. 1627-1637 - Yingren Huang, Jiaojiao Chen, Shaomin Zheng, Yun Xue, Xiaohui Hu:
Hierarchical multi-attention networks for document classification. 1639-1647 - Zhao Zhang, Yong Zhang, Da Guo, Mei Song:
A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks. 1649-1665 - J. Vijayarani, T. V. Geetha:
Joint learning of author and citation contexts for computing drift in scholarly documents. 1667-1686 - Caomingzhe Si, Yuechuan Tao, Jing Qiu, Shuying Lai, Junhua Zhao:
Deep reinforcement learning based home energy management system with devices operational dependencies. 1687-1703 - Xiaoya Che, Degang Chen, Jusheng Mi:
Feature distribution-based label correlation in multi-label classification. 1705-1719 - Izaro Goienetxea, Iñigo Mendialdua, Igor Rodriguez Rodriguez, Basilio Sierra:
Problems selection under dynamic selection of the best base classifier in one versus one: PSEUDOVO. 1721-1735 - Seyed Ehsan Roshan, Shahrokh Asadi:
Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization. 1737-1751 - Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen:
Sample-based online learning for bi-regular hinge loss. 1753-1768 - Zhaowen Li, Zhihong Wang, Qingguo Li, Pei Wang, Ching-Feng Wen:
Uncertainty measurement for a fuzzy set-valued information system. 1769-1787 - Tao Ye, Zhihao Zhang, Xi Zhang, Yongran Chen, Fuqiang Zhou:
Fault detection of railway freight cars mechanical components based on multi-feature fusion convolutional neural network. 1789-1801 - Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang:
Adaptive robust local online density estimation for streaming data. 1803-1824 - Wenjun Yang, Chaoqun Li:
Improving crowd labeling using Stackelberg models. 1825-1838 - Zheng Wang, Futian Weng, Jialin Liu, Kai Cao, Muzhou Hou, Juan Wang:
Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning. 1839-1851 - Haojing Shen, Sihong Chen, Ran Wang:
A study on the uncertainty of convolutional layers in deep neural networks. 1853-1865
Volume 12, Number 7, July 2021
- Weixia Xu, Dingjiang Huang, Shuigeng Zhou:
Universal consistency of twin support vector machines. 1867-1877 - Zhongyi Zhai, Peipei Liu, Lingzhong Zhao, Junyan Qian, Bo Cheng:
An efficiency-enhanced deep learning model for citywide crowd flows prediction. 1879-1891 - Zehai Gao, Cunbao Ma, Jianfeng Zhang, Weijun Xu:
Remaining useful life prediction of integrated modular avionics using ensemble enhanced online sequential parallel extreme learning machine. 1893-1911 - Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang:
Density peaks clustering based on k-nearest neighbors and self-recommendation. 1913-1938 - Weibo Liu, Zidong Wang, Nianyin Zeng, Fuad E. Alsaadi, Xiaohui Liu:
A PSO-based deep learning approach to classifying patients from emergency departments. 1939-1948 - Mehdi Dalir, Nooshin Bigdeli:
An Adaptive neuro-fuzzy backstepping sliding mode controller for finite time stabilization of fractional-order uncertain chaotic systems with time-varying delays. 1949-1971