| 2025 | IJCNN | A Novel Multidisciplinary Graduate Education Program in Data Science. | Anthony Kuh, Daniel Port, Narayana Prasad Santhanam, London Thompson, Mary Lee |
| 2022 | ACSSC | Clustered Graph Federated Personalized Learning. | Franois Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh |
| 2022 | CISS | Decentralized Graph Federated Multitask Learning for Streaming Data. | Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh |
| 2022 | ICASSP | Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. | Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh |
| 2022 | IJCNN | Personalized Learning Using Kernel Methods and Random Fourier Features. | Clyde James Felix, Japhet Ye, Anthony Kuh |
| 2016 | ICASSP | Online least-squares one-class support vector machine for outlier detection in power grid data. | Muhammad Sharif Uddin, Anthony Kuh |
| 2016 | IJCNN | Solar radiation forecast under convex piecewise linear cost functions. | Seyyed A. Fatemi, Anthony Kuh, Matthias Fripp |
| 2016 | ITA | Energy efficient scheduling algorithms for pumping water in radial networks. | Seyyed A. Fatemi, Anthony Kuh, Vijay Gupta |
| 2016 | ITA | The quality of tree approximation from AUC bounds. | Navid Tafaghodi Khajavi, Anthony Kuh |
| 2015 | IJCNN | Approximate dynamic programming for control of a residential water heater. | Matthew Motoki, Monica Umeda, Matthias Fripp, Anthony Kuh |
| 2014 | ICASSP | A Quaternion Least Mean Phase adaptive estimator. | Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic |
| 2014 | IJCNN | Solar radiation forecasting under asymmetric cost functions. | Seyyed A. Fatemi, Anthony Kuh |
| 2013 | ICASSP | Nested bounds for the constrained sensor placement problem. | Muhammad Sharif Uddin, Anthony Kuh, Aleksandar Kavcic |
| 2013 | ISIT | First order Markov chain approximation of microgrid renewable generators covariance matrix. | Navid Tafaghodi Khajavi, Anthony Kuh |
| 2012 | ICASSP | Adaptive kernel principal components tracking. | Toshihisa Tanaka, Yoshikazu Washizawa, Anthony Kuh |
| 2011 | IJCNN | Real-time state estimation on micro-grids. | Ying Hu, Anthony Kuh, Aleksandar Kavcic, Dora Nakafuji |
| 2010 | IJCNN | Micro-scale smart grid optimization. | Nathan Kowahl, Anthony Kuh |
| 2009 | ICASSP | Applications of complex augmented kernels to wind profile prediction. | Anthony Kuh, Danilo P. Mandic |
| 2008 | IJCNN | Class document frequency as a learned feature for text categorization. | Anand Sharma, Anthony Kuh |
| 2007 | ICASSP | Ad Hoc Sensor Network Localization using Distributed Kernel Regression Algorithms. | Chaopin Zhu, Anthony Kuh |
| 2006 | CISS | On Randomly Evolving Email Networks. | Chaopin Zhu, Anthony Kuh |
| 2006 | ICASSP | Sequential Detection Using Least Squares Temporal Difference Methods. | Anthony Kuh, Danilo P. Mandic |
| 2006 | ISIT | Dynamic Ad Hoc Network Localization Using Online Least Squares Kernel Subspace Methods. | Chaopin Zhu, Anthony Kuh |
| 2006 | KES | Sensor Network Localization Using Least Squares Kernel Regression. | Anthony Kuh, Chaopin Zhu, Danilo P. Mandic |
| 2005 | ICANN | Data Fusion for Modern Engineering Applications: An Overview. | Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tlay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony G. Constantinides, Jonathon A. Chambers |
| 2004 | IJCNN | Adaptive selective kernel learning algorithms. | Anthony Kuh |
| 2004 | ISNN | An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations. | Chengan Guo, Anthony Kuh |
| 1999 | IJCNN | A neural-network Q-learning method for decentralized sequential detection with feedback. | Chengan Guo, Anthony Kuh |
| 1999 | IJCNN | Performance of analog neural networks subject to drifting targets and noise. | Anthony Kuh |
| 1995 | ISCAS | Unsupervised Learning Applied to Image Coding. | Meina Xu, Anthony Kuh |