Austin J. Brockmeier
Affiliations: | University of Delaware, Newark, DE, United States |
Area:
machine learning, signal processingGoogle:
"Austin Brockmeier"Parents
Sign in to add mentorJose Carlos Principe | grad student | 2010-2014 | UF Gainesville (Neurotree) |
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Publications
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Evangelopoulos X, Brockmeier AJ, Mu T, et al. (2018) Continuation methods for approximate large scale object sequencing Machine Learning. 108: 595-626 |
Kontonatsios G, Brockmeier AJ, Przybyła P, et al. (2017) A semi-supervised approach using label propagation to support citation screening. Journal of Biomedical Informatics |
Choi JS, Brockmeier AJ, McNiel DB, et al. (2016) Eliciting naturalistic cortical responses with a sensory prosthesis via optimized microstimulation. Journal of Neural Engineering. 13: 056007 |
Brockmeier AJ, Principe JC. (2016) Learning Recurrent Waveforms Within EEGs. Ieee Transactions On Bio-Medical Engineering. 63: 43-54 |
Emigh MS, Kriminger EG, Brockmeier AJ, et al. (2016) Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning Ieee Transactions On Computational Intelligence and Ai in Games. 8: 56-66 |
Principe JC, Brockmeier AJ. (2015) Representing and decomposing neural potential signals. Current Opinion in Neurobiology. 31: 13-7 |
Brockmeier AJ, Principe JC. (2015) Explicit versus implicit source estimation for blind multiple input single output system identification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2015: 2140-2144 |
Santana E, Brockmeier AJ, Principe JC. (2014) Joint optimization of algorithmic suites for EEG analysis. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 2997-3000 |
Li L, Brockmeier AJ, Choi JS, et al. (2014) A tensor-product-kernel framework for multiscale neural activity decoding and control. Computational Intelligence and Neuroscience. 2014: 870160 |
Brockmeier AJ, Choi JS, Kriminger EG, et al. (2014) Neural decoding with kernel-based metric learning. Neural Computation. 26: 1080-107 |