Austin J. Brockmeier

According to our database1, Austin J. Brockmeier authored at least 24 papers between 2010 and 2018.

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Bibliography

2018
Self-Tuned Descriptive Document Clustering Using a Predictive Network.
IEEE Trans. Knowl. Data Eng., 2018

2017
Quantifying the Informativeness of Similarity Measurements.
Journal of Machine Learning Research, 2017

A semi-supervised approach using label propagation to support citation screening.
Journal of Biomedical Informatics, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Document and Phrase Co-embeddings for Descriptive Clustering.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning.
IEEE Trans. Comput. Intellig. and AI in Games, 2016

Learning Recurrent Waveforms Within EEGs.
IEEE Trans. Biomed. Engineering, 2016

2015
Explicit versus implicit source estimation for blind multiple input single output system identification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Neural Decoding with Kernel-Based Metric Learning.
Neural Computation, 2014

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control.
Comp. Int. and Neurosc., 2014

Projentropy: Using entropy to optimize spatial projections.
Proceedings of the IEEE International Conference on Acoustics, 2014

Joint optimization of algorithmic suites for EEG analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Tensor completion throughmultiple Kronecker product decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013

A greedy algorithm for model selection of tensor decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
An Association Framework to Analyze Dependence Structure in Time Series.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Locating spatial patterns of waveforms during sensory perception in scalp EEG.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Efficient temporal decomposition of local field potentials.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Evaluating dependence in spike train metric spaces.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A metric approach toward point process divergence.
Proceedings of the IEEE International Conference on Acoustics, 2011

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Optimizing microstimulation using a reinforcement learning framework.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
A novel family of non-parametric cumulative based divergences for point processes.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010


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