- 2018
- Rahul Kumar Agarwal, Ikhlaq Hussain, Bhim Singh:
Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1598-1607 (2018) - Antti Airola, Tapio Pahikkala:
Fast Kronecker Product Kernel Methods via Generalized Vec Trick. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3374-3387 (2018) - Naveed Akhtar, Ajmal S. Mian:
Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4038-4050 (2018) - Mayer E. Aladjem, Itamar Israeli-Ran, Maria Bortman:
Sequential Independent Component Analysis Density Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5084-5097 (2018) - Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3863-3869 (2018) - Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4905-4916 (2018) - Kais Allab, Lazhar Labiod, Mohamed Nadif:
Simultaneous Spectral Data Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6396-6401 (2018) - Peter Andras:
High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data. IEEE Trans. Neural Networks Learn. Syst. 29(2): 500-508 (2018) - Narges Armanfard, James P. Reilly, Majid Komeili:
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1396-1413 (2018) - Peter Ashwin, Claire M. Postlethwaite:
Sensitive Finite-State Computations Using a Distributed Network With a Noisy Network Attractor. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5847-5858 (2018) - Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5798-5811 (2018) - Babajide O. Ayinde, Jacek M. Zurada:
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3969-3979 (2018) - Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4932-4946 (2018) - Francesco Bagattini, Paola Cappanera, Fabio Schoen:
Lagrangean-Based Combinatorial Optimization for Large-Scale S3VMs. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4426-4435 (2018) - Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3953-3968 (2018) - Daniel Paul Barrett, Scott Alan Bronikowski, Haonan Yu, Jeffrey Mark Siskind:
Driving Under the Influence (of Language). IEEE Trans. Neural Networks Learn. Syst. 29(7): 2668-2683 (2018) - Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(2): 427-439 (2018) - Johan Bjurgert, Patricio E. Valenzuela, Cristian R. Rojas:
On Adaptive Boosting for System Identification. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4510-4514 (2018) - Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls:
Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions. IEEE Trans. Neural Networks Learn. Syst. 29(1): 167-182 (2018) - Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, F. Javier Payan-Somet, Fernando Pérez-Cruz:
Complex Gaussian Processes for Regression. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5499-5511 (2018) - Marco Bongini, Leonardo Rigutini, Edmondo Trentin:
Recursive Neural Networks for Density Estimation Over Generalized Random Graphs. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5441-5458 (2018) - Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li, Jiade Li, Dapeng Oliver Wu:
Reinforced Robust Principal Component Pursuit. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1525-1538 (2018) - Li Bu, Cesare Alippi, Dongbin Zhao:
A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(2): 324-334 (2018) - Xuhui Bu, Zhongsheng Hou:
Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 232-237 (2018) - Xuhui Bu, Zhongsheng Hou, Hongwei Zhang:
Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1514-1524 (2018) - Zuowei Cai, Lihong Huang:
Finite-Time Stabilization of Delayed Memristive Neural Networks: Discontinuous State-Feedback and Adaptive Control Approach. IEEE Trans. Neural Networks Learn. Syst. 29(4): 856-868 (2018) - Jia Cai, Xiaolin Huang:
Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4957-4966 (2018) - Xiaoyan Cai, Junwei Han, Wenjie Li, Renxian Zhang, Shirui Pan, Libin Yang:
A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6026-6037 (2018) - Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3623-3635 (2018) - Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Sio-Hoi Ieng, Ryad Benosman, Bernabé Linares-Barranco:
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4223-4237 (2018)