Performance Measures for Associative Memories that Learn and Forget. - Anthony Kuh (NIPS, 1987)

Information capacity of associative memories. - Anthony Kuh; Bradley W. Dickinson (IEEE Trans. Inf. Theory, 1989)

Learning Time-Varying Concepts. - Anthony Kuh; Thomas Petsche; Ronald L. Rivest (NIPS, 1990)

Incrementally Learning Time-Varying Half Planes. - Anthony Kuh; Thomas Petsche; Ronald L. Rivest (NIPS, 1991)

A combined self-organizing feature map and multilayer perceptron for isolated word recognition. - Zezhen Kuang; Anthony Kuh (IEEE Trans. Signal Process., 1992)

A neural network isolated word recognition system for moderate sized databases. - Jianping Huang; Anthony Kuh (ICNN, 1993)

Unsupervised Learning Applied to Image Coding. - Meina Xu; Anthony Kuh (ISCAS, 1995)

Image coding using feature map finite-state vector quantization. - Meina Xu; Anthony Kuh (IEEE Signal Process. Lett., 1996)

Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary. - Xiaodong Tian; Anthony Kuh (Neural Networks, 1997)

Temporal difference learning applied to sequential detection. - Chengan Guo; Anthony Kuh (IEEE Trans. Neural Networks, 1997)

Comparison of tracking algorithms for single layer threshold networks in the presence of random drift. - Anthony Kuh (IEEE Trans. Signal Process., 1997)

A neural-network Q-learning method for decentralized sequential detection with feedback. - Chengan Guo; Anthony Kuh (IJCNN, 1999)

Performance of analog neural networks subject to drifting targets and noise. - Anthony Kuh (IJCNN, 1999)

Adaptive selective kernel learning algorithms. - Anthony Kuh (IJCNN, 2004)

An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations. - Chengan Guo; Anthony Kuh (ISNN (1), 2004)

Data Fusion for Modern Engineering Applications: An Overview. - Danilo P. Mandic; Dragan Obradovic; Anthony Kuh; Tülay Adali; Udo Trutschel; Martin Golz; Philippe De Wilde; Javier A. Barria; Anthony G. Constantinides; Jonathon A. Chambers (ICANN (2), 2005)

On Randomly Evolving Email Networks. - Chaopin Zhu; Anthony Kuh (CISS, 2006)

Sequential Detection Using Least Squares Temporal Difference Methods. - Anthony Kuh; Danilo P. Mandic (ICASSP (5), 2006)

Dynamic Ad Hoc Network Localization Using Online Least Squares Kernel Subspace Methods. - Chaopin Zhu; Anthony Kuh (ISIT, 2006)

Sensor Network Localization Using Least Squares Kernel Regression. - Anthony Kuh; Chaopin Zhu; Danilo P. Mandic (KES (3), 2006)

Ad Hoc Sensor Network Localization using Distributed Kernel Regression Algorithms. - Chaopin Zhu; Anthony Kuh (ICASSP (2), 2007)

Comments on "Pruning Error Minimization in Least Squares Support Vector Machines". - Anthony Kuh; Philippe De Wilde (IEEE Trans. Neural Networks, 2007)

Class document frequency as a learned feature for text categorization. - Anand Sharma; Anthony Kuh (IJCNN, 2008)

Applications of complex augmented kernels to wind profile prediction. - Anthony Kuh; Danilo P. Mandic (ICASSP, 2009)

Micro-scale smart grid optimization. - Nathan Kowahl; Anthony Kuh (IJCNN, 2010)

Real-time state estimation on micro-grids. - Ying Hu; Anthony Kuh; Aleksandar Kavcic; Dora Nakafuji (IJCNN, 2011)

GRIP - Grids with intelligent periphery: Control architectures for Grid2050π. - David E. Bakken; Anjan Bose; K. Mani Chandy; Pramod P. Khargonekar; Anthony Kuh; Steven H. Low; Alexandra von Meier; Kameshwar Poolla; Pravin Varaiya; Felix F. Wu (SmartGridComm, 2011)

A Belief Propagation Based Power Distribution System State Estimator. - Ying Hu; Anthony Kuh; Tao Yang; Aleksandar Kavcic (IEEE Comput. Intell. Mag., 2011)

Stochastic queuing models for distributed PV energy. - Anthony Kuh; Chuanyi Ji; Yun Wei (APSIPA, 2012)

Adaptive kernel principal components tracking. - Toshihisa Tanaka 001; Yoshikazu Washizawa; Anthony Kuh (ICASSP, 2012)

A novel augmented complex valued kernel LMS. - Felipe A. Tobar; Anthony Kuh; Danilo P. Mandic (SAM, 2012)

Approximate solutions and performance bounds for the sensor placement problem. - Muhammad Sharif Uddin; Anthony Kuh; Aleksandar Kavcic; Toshihisa Tanaka 001 (SmartGridComm, 2012)

Solar radiation forecasting using zenith angle. - Seyyed A. Fatemi; Anthony Kuh (GlobalSIP, 2013)

Nested bounds for the constrained sensor placement problem. - Muhammad Sharif Uddin; Anthony Kuh; Aleksandar Kavcic (ICASSP, 2013)

First order Markov chain approximation of microgrid renewable generators covariance matrix. - Navid Tafaghodi Khajavi; Anthony Kuh (ISIT, 2013)

Parallel memory-efficient processing of BCI data. - Trevor Alexander; Anthony Kuh; Katsuhiko Hamada; Hiromu Mori; Hiroyuki Shinoda 001; Tomasz M. Rutkowski (APSIPA, 2014)

Online solar radiation forecasting under asymmetrie cost functions. - Seyyed A. Fatemi; Anthony Kuh; Matthias Fripp (APSIPA, 2014)

Spatial correlations for solar PV generation and its tree approximation analysis. - Navid Tafaghodi Khajavi; Anthony Kuh; Narayana P. Santhanam (APSIPA, 2014)

A Quaternion Least Mean Phase adaptive estimator. - Sayed Pouria Talebi; Dongpo Xu; Anthony Kuh; Danilo P. Mandic (ICASSP, 2014)

Solar radiation forecasting under asymmetric cost functions. - Seyyed A. Fatemi; Anthony Kuh (IJCNN, 2014)

Signal and information processing applications for the smart grid. - Anthony Kuh (APSIPA, 2015)

Approximate dynamic programming for control of a residential water heater. - Matthew Motoki; Monica Umeda; Matthias Fripp; Anthony Kuh (IJCNN, 2015)

Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences. - Navid Tafaghodi Khajavi; Anthony Kuh (INNS Conference on Big Data, 2015)

The goodness of covariance selection problem from AUC bounds. - Navid Tafaghodi Khajavi; Anthony Kuh (Allerton, 2016)

The covariance selection quality for graphs with junction trees through AUC bounds. - Navid Tafaghodi Khajavi; Anthony Kuh (APSIPA, 2016)

Online least-squares one-class support vector machine for outlier detection in power grid data. - Muhammad Sharif Uddin; Anthony Kuh (ICASSP, 2016)

Solar radiation forecast under convex piecewise linear cost functions. - Seyyed A. Fatemi; Anthony Kuh; Matthias Fripp (IJCNN, 2016)

Energy efficient scheduling algorithms for pumping water in radial networks. - Seyyed A. Fatemi; Anthony Kuh; Vijay Gupta 001 (ITA, 2016)

The quality of tree approximation from AUC bounds. - Navid Tafaghodi Khajavi; Anthony Kuh (ITA, 2016)

The Quality of the Covariance Selection Through Detection Problem and AUC Bounds. - Navid Tafaghodi Khajavi; Anthony Kuh (CoRR, 2016)

Online unsupervised kernel learning algorithms. - Anthony Kuh; Muhammad Sharif Uddin; Phyllis Ng (APSIPA, 2017)

Nonlinear Online Learning - A Kernel SMF Approach. - Kewei Chen 002; Stefan Werner 001; Anthony Kuh; Yih-Fang Huang (APSIPA, 2018)

Online Unsupervised Kernel Affine Projection Algorithms. - Muhammad Sharif Uddin; Anthony Kuh (APSIPA, 2018)

How Consumer Empathy Assist Power Grid in Demand Response. - Mojtaba Abolfazli; June Zhang; Anthony Kuh (CoRR, 2018)

Model Approximation Using Cascade of Tree Decompositions. - Navid Tafaghodi Khajavi; Anthony Kuh (CoRR, 2018)

Decomposition of Covariance Matrix Using Cascade of Trees. - Navid Tafaghodi Khajavi; Anthony Kuh (APSIPA, 2019)

Covariance Matrix Decomposition Using Cascade of Linear Tree Transformations. - Navid Tafaghodi Khajavi; Anthony Kuh (GlobalSIP, 2019)

Nonlinear Adaptive Filtering With Kernel Set-Membership Approach. - Kewei Chen 002; Stefan Werner 001; Anthony Kuh; Yih-Fang Huang (IEEE Trans. Signal Process., 2020)

Real Time Kernel Learning for Sensor Networks using Principles of Federated Learning. - Anthony Kuh (APSIPA ASC, 2021)

Personalized Learning using Multiple Kernel Models. - Anthony Kuh; Shuai Huang 001; Cynthia Chen (APSIPA ASC, 2021)

In Memoriam: Norman Abramson. - Anthony Kuh; Norman Abramson (IEEE Commun. Mag., 2021)

Clustered Graph Federated Personalized Learning. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEECONF, 2022)

Decentralized Graph Federated Multitask Learning for Streaming Data. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (CISS, 2022)

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (ICASSP, 2022)

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (ICC, 2022)

Personalized Learning Using Kernel Methods and Random Fourier Features. - Clyde James Felix; Japhet Ye; Anthony Kuh (IJCNN, 2022)

Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. - Vinay Chakravarthi Gogineni; Stefan Werner 001; François Gauthier 002; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things Mag., 2022)

Distributed on-line anomaly detection using kernel methods. - Anthony Kuh; Tyler Baguio (APSIPA ASC, 2023)

Asynchronous Online Federated Learning With Reduced Communication Requirements. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things J., 2023)

Personalized Graph Federated Learning With Differential Privacy. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Communication-Efficient Online Federated Learning Strategies for Kernel Regression. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things J., 2023)