Anthony Kuh - RankMe

77 papers B 13C 1Misc 10Journal 22Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Novel Multidisciplinary Graduate Education Program in Data Science. IJCNN Anthony Kuh, Daniel Port, Narayana Prasad Santhanam, London Thompson, Mary Lee
2023	J	`jnl`	Asynchronous Online Federated Learning With Reduced Communication Requirements. IEEE Internet Things J. François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Communication-Efficient Online Federated Learning Strategies for Kernel Regression. IEEE Internet Things J. Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	—	`conf`	Distributed on-line anomaly detection using kernel methods. APSIPA ASC Anthony Kuh, Tyler Baguio
2023	J	`jnl`	Personalized Graph Federated Learning With Differential Privacy. IEEE Trans. Signal Inf. Process. over Networks François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Personalized Graph Federated Learning with Differential Privacy. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	—	`conf`	Clustered Graph Federated Personalized Learning. IEEECONF François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	Misc	`conf`	Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	Misc	`conf`	Decentralized Graph Federated Multitask Learning for Streaming Data. CISS Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	B	`conf`	Personalized Learning Using Kernel Methods and Random Fourier Features. IJCNN Clyde James Felix, Japhet Ye, Anthony Kuh
2022	J	`jnl`	Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. IEEE Internet Things Mag. Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh
2022	—	`conf`	Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2021	J	`jnl`	Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2021	J	`jnl`	In Memoriam: Norman Abramson. IEEE Commun. Mag. Anthony Kuh, Norman Abramson
2021	—	`conf`	Personalized Learning using Multiple Kernel Models. APSIPA ASC Anthony Kuh, Shuai Huang, Cynthia Chen
2021	—	`conf`	Real Time Kernel Learning for Sensor Networks using Principles of Federated Learning. APSIPA ASC Anthony Kuh
2021	J	`jnl`	Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2020	J	`jnl`	Nonlinear Adaptive Filtering With Kernel Set-Membership Approach. IEEE Trans. Signal Process. Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang
2019	—	`conf`	Covariance Matrix Decomposition Using Cascade of Linear Tree Transformations. GlobalSIP Navid Tafaghodi Khajavi, Anthony Kuh
2019	—	`conf`	Decomposition of Covariance Matrix Using Cascade of Trees. APSIPA Navid Tafaghodi Khajavi, Anthony Kuh
2018	J	`jnl`	How Consumer Empathy Assist Power Grid in Demand Response. CoRR Mojtaba Abolfazli, June Zhang, Anthony Kuh
2018	J	`jnl`	Model Approximation Using Cascade of Tree Decompositions. CoRR Navid Tafaghodi Khajavi, Anthony Kuh
2018	—	`conf`	Nonlinear Online Learning - A Kernel SMF Approach. APSIPA Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang
2018	—	`conf`	Online Unsupervised Kernel Affine Projection Algorithms. APSIPA Muhammad Sharif Uddin, Anthony Kuh
2017	—	`conf`	Online unsupervised kernel learning algorithms. APSIPA Anthony Kuh, Muhammad Sharif Uddin, Phyllis Ng
2016	Misc	`conf`	Energy efficient scheduling algorithms for pumping water in radial networks. ITA Seyyed A. Fatemi, Anthony Kuh, Vijay Gupta
2016	Misc	`conf`	Online least-squares one-class support vector machine for outlier detection in power grid data. ICASSP Muhammad Sharif Uddin, Anthony Kuh
2016	B	`conf`	Solar radiation forecast under convex piecewise linear cost functions. IJCNN Seyyed A. Fatemi, Anthony Kuh, Matthias Fripp
2016	J	`jnl`	The Goodness of Covariance Selection Problem from AUC Bounds. CoRR Navid Tafaghodi Khajavi, Anthony Kuh
2016	J	`jnl`	The Quality of the Covariance Selection Through Detection Problem and AUC Bounds. CoRR Navid Tafaghodi Khajavi, Anthony Kuh
2016	—	`conf`	The covariance selection quality for graphs with junction trees through AUC bounds. APSIPA Navid Tafaghodi Khajavi, Anthony Kuh
2016	—	`conf`	The goodness of covariance selection problem from AUC bounds. Allerton Navid Tafaghodi Khajavi, Anthony Kuh
2016	Misc	`conf`	The quality of tree approximation from AUC bounds. ITA Navid Tafaghodi Khajavi, Anthony Kuh
2015	B	`conf`	Approximate dynamic programming for control of a residential water heater. IJCNN Matthew Motoki, Monica Umeda, Matthias Fripp, Anthony Kuh
2015	—	`conf`	Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences. INNS Conference on Big Data Navid Tafaghodi Khajavi, Anthony Kuh
2015	—	`conf`	Signal and information processing applications for the smart grid. APSIPA Anthony Kuh
2014	Misc	`conf`	A Quaternion Least Mean Phase adaptive estimator. ICASSP Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic
2014	—	`conf`	Online solar radiation forecasting under asymmetrie cost functions. APSIPA Seyyed A. Fatemi, Anthony Kuh, Matthias Fripp
2014	—	`conf`	Parallel memory-efficient processing of BCI data. APSIPA Trevor Alexander, Anthony Kuh, Katsuhiko Hamada, Hiromu Mori, Hiroyuki Shinoda, Tomasz M. Rutkowski
2014	B	`conf`	Solar radiation forecasting under asymmetric cost functions. IJCNN Seyyed A. Fatemi, Anthony Kuh
2014	—	`conf`	Spatial correlations for solar PV generation and its tree approximation analysis. APSIPA Navid Tafaghodi Khajavi, Anthony Kuh, Narayana P. Santhanam
2013	B	`conf`	First order Markov chain approximation of microgrid renewable generators covariance matrix. ISIT Navid Tafaghodi Khajavi, Anthony Kuh
2013	Misc	`conf`	Nested bounds for the constrained sensor placement problem. ICASSP Muhammad Sharif Uddin, Anthony Kuh, Aleksandar Kavcic
2013	—	`conf`	Solar radiation forecasting using zenith angle. GlobalSIP Seyyed A. Fatemi, Anthony Kuh
2012	—	`conf`	A novel augmented complex valued kernel LMS. SAM Felipe A. Tobar, Anthony Kuh, Danilo P. Mandic
2012	Misc	`conf`	Adaptive kernel principal components tracking. ICASSP Toshihisa Tanaka, Yoshikazu Washizawa, Anthony Kuh
2012	—	`conf`	Approximate solutions and performance bounds for the sensor placement problem. SmartGridComm Muhammad Sharif Uddin, Anthony Kuh, Aleksandar Kavcic, Toshihisa Tanaka
2012	—	`conf`	Stochastic queuing models for distributed PV energy. APSIPA Anthony Kuh, Chuanyi Ji, Yun Wei
2011	J	`jnl`	A Belief Propagation Based Power Distribution System State Estimator. IEEE Comput. Intell. Mag. Ying Hu, Anthony Kuh, Tao Yang, Aleksandar Kavcic
2011	—	`conf`	GRIP - Grids with intelligent periphery: Control architectures for Grid2050 SmartGridComm 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
2011	B	`conf`	Real-time state estimation on micro-grids. IJCNN Ying Hu, Anthony Kuh, Aleksandar Kavcic, Dora Nakafuji
2010	B	`conf`	Micro-scale smart grid optimization. IJCNN Nathan Kowahl, Anthony Kuh
2009	Misc	`conf`	Applications of complex augmented kernels to wind profile prediction. ICASSP Anthony Kuh, Danilo P. Mandic
2008	B	`conf`	Class document frequency as a learned feature for text categorization. IJCNN Anand Sharma, Anthony Kuh
2007	—	`conf`	Ad Hoc Sensor Network Localization using Distributed Kernel Regression Algorithms. ICASSP (2) Chaopin Zhu, Anthony Kuh
2007	J	`jnl`	Comments on "Pruning Error Minimization in Least Squares Support Vector Machines". IEEE Trans. Neural Networks Anthony Kuh, Philippe De Wilde
2006	B	`conf`	Dynamic Ad Hoc Network Localization Using Online Least Squares Kernel Subspace Methods. ISIT Chaopin Zhu, Anthony Kuh
2006	Misc	`conf`	On Randomly Evolving Email Networks. CISS Chaopin Zhu, Anthony Kuh
2006	—	`conf`	Sensor Network Localization Using Least Squares Kernel Regression. KES (3) Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
2006	—	`conf`	Sequential Detection Using Least Squares Temporal Difference Methods. ICASSP (5) Anthony Kuh, Danilo P. Mandic
2005	—	`conf`	Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 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
2004	B	`conf`	Adaptive selective kernel learning algorithms. IJCNN Anthony Kuh
2004	—	`conf`	An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations. ISNN (1) Chengan Guo, Anthony Kuh
1999	B	`conf`	A neural-network Q-learning method for decentralized sequential detection with feedback. IJCNN Chengan Guo, Anthony Kuh
1999	B	`conf`	Performance of analog neural networks subject to drifting targets and noise. IJCNN Anthony Kuh
1997	J	`jnl`	Comparison of tracking algorithms for single layer threshold networks in the presence of random drift. IEEE Trans. Signal Process. Anthony Kuh
1997	J	`jnl`	Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary. Neural Networks Xiaodong Tian, Anthony Kuh
1997	J	`jnl`	Temporal difference learning applied to sequential detection. IEEE Trans. Neural Networks Chengan Guo, Anthony Kuh
1996	J	`jnl`	Image coding using feature map finite-state vector quantization. IEEE Signal Process. Lett. Meina Xu, Anthony Kuh
1995	C	`conf`	Unsupervised Learning Applied to Image Coding. ISCAS Meina Xu, Anthony Kuh
1993	—	`conf`	A neural network isolated word recognition system for moderate sized databases. ICNN Jianping Huang, Anthony Kuh
1992	J	`jnl`	A combined self-organizing feature map and multilayer perceptron for isolated word recognition. IEEE Trans. Signal Process. Zezhen Kuang, Anthony Kuh
1991	—	`conf`	Incrementally Learning Time-Varying Half Planes. NIPS Anthony Kuh, Thomas Petsche, Ronald L. Rivest
1990	—	`conf`	Learning Time-Varying Concepts. NIPS Anthony Kuh, Thomas Petsche, Ronald L. Rivest
1989	J	`jnl`	Information capacity of associative memories. IEEE Trans. Inf. Theory Anthony Kuh, Bradley W. Dickinson
1987	—	`conf`	Performance Measures for Associative Memories that Learn and Forget. NIPS Anthony Kuh