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ORCIDInformation Sciences, Volume 614
Volume 614, October 2022
- Elham Sadat Kashani, Saeed Bagheri Shouraki, Yaser Norouzi:
Evolving data stream clustering based on constant false clustering probability. 1-18 - Gaozhong Tang, Bo Li
, Hong-Ning Dai, Xi Zheng:
SPRNN: A spatial-temporal recurrent neural network for crowd flow prediction. 19-34 - Xiaoyue Jin, Zhen Wang, Junsheng Zhao, Dengxiu Yu:
Swarm control for large-scale omnidirectional mobile robots within incremental behavior. 35-50 - Wei Dai, Langlong Ji, Dianhui Wang:
Federated stochastic configuration networks for distributed data analytics. 51-70 - Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler:
OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal. 71-86 - Deyin Yao, Hongyi Li, Renquan Lu, Yang Shi:
Event-based distributed sliding mode formation control of multi-agent systems and its applications to robot manipulators. 87-103 - Xiaohong Zhang, Mei Wang, Benjamín R. C. Bedregal, Mengyuan Li, Rong Liang:
Semi-overlap functions and novel fuzzy reasoning algorithms with applications. 104-122 - Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Hiding ourselves from community detection through genetic algorithms. 123-137 - Chenxi Huang, Gengchen Xu, Sirui Chen, Wen Zhou, Eddie Y. K. Ng, Victor Hugo C. de Albuquerque:
An improved federated learning approach enhanced internet of health things framework for private decentralized distributed data. 138-152 - Wentao Wang, Huifang Ma, Yan Zhao, Fanyi Yang, Liang Chang:
SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing. 153-169 - Yuhui Jin, Sixun Yang, Weifeng Lv, Haitao Yu, Sainan Zhu, Jian Huang:
Structure entropy minimization-based dynamic social interaction modeling for trajectory prediction. 170-184 - Yangdong Xu, Hui Deng, Wei Zhu:
Synchronous distributed ADMM for consensus convex optimization problems with self-loops. 185-205 - Tianyi Huang, Zhiling Cai, Ruijia Li, Shiping Wang, William Zhu:
Consolidation of structure of high noise data by a new noise index and reinforcement learning. 206-222 - Youfang Leng, Li Yu, Xi Niu:
Dynamically aggregating individuals' social influence and interest evolution for group recommendations. 223-239 - Pankaj Gupta:
Portfolio optimization using elliptic entropy and semi-entropy of coherent fuzzy numbers. 240-262 - Hassan I. Abdalla, Ali A. Amer:
On the integration of similarity measures with machine learning models to enhance text classification performance. 263-288 - Hao Zheng, Liyong Fu, Qiaolin Ye:
Flexible capped principal component analysis with applications in image recognition. 289-310 - Suchismita Das, Nikhil R. Pal:
Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning. 311-324 - Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational recommendation: Theoretical model and complexity analysis. 325-347 - Tam Tien Tran, Yan Feunteun, Chafik Samir, José Braga:
A scalable Matérn Gaussian process for learning spatial curves distributions. 348-361 - Junfeng Zhang, Fei Yan, Tao Feng, Tao Deng, Yue Zhao:
Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol. 362-373 - Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez:
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. 374-399 - Bohao Wu, Lingli Li:
Solving maximum weighted matching on large graphs with deep reinforcement learning. 400-415 - Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Xitong Chen:
Deep locally linear embedding network. 416-431 - Lisha Peng, Xianzhong Zhou, Junjie Zhao, Yuxiang Sun, Huaxiong Li:
Three-way multi-attribute decision making under incomplete mixed environments using probabilistic similarity. 432-463 - Jibril Muhammad Adam, Muhammad Kamran Afzal, Yu Zang, Saifullahi Aminu Bello, Cheng Wang, Jonathan Li:
Mesh Oversegmentation with Segmentation-Aware Loss. 464-479 - Liduo Lin, Li Pan, Shijun Liu:
Learning to make auto-scaling decisions with heterogeneous spot and on-demand instances via reinforcement learning. 480-496 - Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon:
Mixed and constrained input mutation for effective fuzzing of deep learning systems. 497-517 - Xiaotian Wang, Housheng Su:
Consensus of multiagent with interaction distortions via echo control. 518-533 - Marco Fisichella, Gianluca Lax, Antonia Russo:
Partially-federated learning: A new approach to achieving privacy and effectiveness. 534-547 - Pei Dong, Lei Wu, Lei Meng, Xiangxu Meng:
HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. 548-562 - Enwen Hu, Lei Sun:
DANIEL: A fast and robust consensus maximization method for point cloud registration with high outlier ratios. 563-579
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