, 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 … Convolutional Neural Networks … ? X, SEPTEMBER 20XX 3 connection or by adding a new connection between existing nodes (see Figure 1). 6, JUNE 2016 1279 Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking Qi Wang, Senior Member, IEEE, Jianzhe Lin, Student Member, IEEE, and Yuan Yuan, Senior Member, IEEE Abstract—Saliency detection has been a hot topic in recent years, and many efforts have been devoted … 6, JUNE 2016 1241 Learning to Predict Sequences of Human Visual Fixations Ming Jiang, Student Member, IEEE, Xavier Boix, Student Member, IEEE, Gemma Roig, Student Member, IEEE, Juan Xu, Luc Van Gool, Senior Member, IEEE,andQiZhao,Member, IEEE Abstract—Most state-of-the-art visual attention models estimate the … 418 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. 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 … 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 … 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. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Multi-task Attention Network for Lane Detection and Fitting Qi Wang, Senior Member, IEEE, Tao Han, Zequn Qin, Junyu Gao, Student Member, IEEE, Xuelong Li, Fellow, IEEE Abstract—Many CNN-based segmentation methods have been applied in lane marking detection recently and gain excellent success for a strong ability in … 2, FEBRUARY 2014 Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach Derong Liu, Fellow, IEEE, Ding Wang, and Hongliang Li Abstract—In this paper, using a neural-network-based online learning optimal control … 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. XX, XX XXXX 1 Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks Weiming Xiang, Senior Member, IEEE, Hoang-Dung Tran Member, IEEE, and Taylor T. Johnson Member, IEEE Abstract—In this paper, the output reachable estimation and safety verification problems for multi-layer perceptron neural … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on Deep Learning for Anomaly Detection Anomaly detection (also known as outlier/novelty detection) aims at identifying data points which are rare or significantly different from the majority of data points. 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 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. Chao Chen, Xuefeng Yan: Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regressio 24, NO. 27, NO. An RC system … Learning Nexus; IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING For Publishers ... [IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING] Hello, you are Visitor Number 17817 on this page. ( see Figure 1 ) it covers the theory, design, AND applications of NEURAL AND. He ( University of Rhode Island ) ieee Computational Intelligence Society emphasis will given! 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