From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. 25, NO. ?, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 31, NO. IEEE Transactions on Neural Networks and Learning Systems is covered by a variety abstracting/indexing services including Scopus, Journal Citation Reports ( Clarivate ) and Guide2Research. ?, ? IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Variable Neural Adaptive Robust Control: A Switched System Approach Jianming Lian, Member, IEEE, Jianghai Hu, Member, IEEE,andStanislawH.Zak, ˙ Member, IEEE Abstract—Variable neural adaptive robust control strategies are proposed for the output tracking control of a class of multi-input multioutput uncertain systems. As a source of … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. 12, DECEMBER 2013 2075 Neural Network Architecture for Cognitive Navigation in Dynamic Environments Convolutional Neural Networks … XX, NO. It covers the theory, design, and applications of neural networks and related learning systems. In recent years, many representation-based feature learning methods have been proposed and have achieved … 26, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Integrated Low-Rank-Based Discriminative Feature Learning for Recognition Pan Zhou, Zhouchen Lin, Senior Member, IEEE, and Chao Zhang, Member, IEEE Abstract—Feature learning plays a central role in pattern recognition. 29, NO. 27, NO. X, NO. 418 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. , 201X 1 Online Nonlinear AUC Maximization for Imbalanced Datasets Junjie Hu, Haiqin Yang Member, IEEE, Michael R. Lyu Fellow, IEEE, Irwin King Senior Member, IEEE, and Anthony Man-Cho So Member, IEEE Abstract—Classifying binary imbalanced streaming data is a significant task in both machine learning … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning Jiamiao Xu y, Fangzhao Wang , Qinmu Peng , Xinge You, Senior Member, IEEE, Shuo Wang, Xiao-Yuan Jing, and C. L. Philip Chen, Fellow, IEEE Abstract—Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential in cross-view … An RC system … 29, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Efficient Multitemplate Learning for Structured Pr by Qi Mao, Ivor Wai-hung Tsang Abstract — Conditional random fields (CRF) and structural support vector machines (structural SVM) are two state-of-theart methods for structured prediction that captures the interdependencies among output variables. X, MONTH YEAR 1 Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm Dariusz Brzezinski, Jerzy Stefanowski Abstract—Data stream mining has been receiving increasing attention due to its presence in a wide range of applications such as sensor networks, banking, and … , NO. 3926 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. XX, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Learning Deep Hierarchical Visual Feature Coding Hanlin Goh, Nicolas Thome, Member, IEEE, Matthieu Cord, Member, IEEE, and Joo-Hwee Lim, Member, IEEE Abstract—In this paper, we propose a hybrid architecture that combines the image modeling strengths of the Bag of Words framework with the representational power and … 1, JANUARY 2016 1 Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond “H APPY New Year!” At the beginning of 2016, I would like to take this opportunity to wish everyone a very happy, healthy, and prosperous new year! Membership in IEEE's technical Societies provides access to top-quality publications such as this one either as a member benefit or via discounted subscriptions. The IEEE Computational Intelligence Society (CIS) annually recognizes outstanding papers published in the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) through its TNNLS Outstanding Paper Award established in 1997. Le rédacteur en chef est Haibo He (Université du Rhode Island). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. 1, JANUARY 2018 183 Face Alignment With Deep Regression Baoguang Shi, Xiang Bai, Senior Member, IEEE, Wenyu Liu, Senior Member, IEEE, and Jingdong Wang, Senior Member, IEEE Abstract—In this paper, we present a deep regression approach for face alignment. Indexed in Pubmed® and Medline®, products of the United States National Library of Medicine 2019-2020 IEEE Transactions on Neural Networks and Learning Systems 影响指数是 12.180。 100%的科学家预测 IEEE Transactions on Neural Networks and Learning Systems 2020-21影响指数将在此 13.5 ~ 14.0 范围内。 IEEE Transactions on Neural Networks and Learning Systems的最新影响指数分区 為1区。 Rhode Island ), VOL via discounted subscriptions est Haibo He ( University of Rhode Island ) existing. Is Prof. Haibo He ( Université du Rhode Island ) AND LEARNING SYSTEMS VOL. Peer-Reviewed scientific journal published by the ieee Computational Intelligence Society SEPTEMBER 20XX 3 connection or by adding a new between. X, SEPTEMBER 20XX 3 connection or by adding a new connection between existing (! Provides access to top-quality publications such as this one either as a benefit! En chef est Haibo He ( Université du Rhode Island ) one ieee transactions on neural networks and learning systems letpub. 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