Austin J. Brockmeier

According to our database, Austin J. Brockmeier authored at least 34 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Exploring the influence of functional architecture on cortical thickness networks in early psychosis - A longitudinal study.

Kristina M. Holton, Shi Yu Chan, Austin J. Brockmeier, Dost Öngür, Mei-Hua Hall

NeuroImage, July, 2023

DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies.

Oscar Skean, Jhoan Keider Hoyos-Osorio, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo

CoRR, 2023

2022

The Representation Jensen-Rényi Divergence.

Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Searching for waveforms on spatially-filtered epileptic ECoG.

Carlos H. Mendoza-Cardenas, Austin J. Brockmeier

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Local and Sparse Linear Causal Models for fMRI Resting-State Signals.

Hassan Baker, Austin J. Brockmeier

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Shift-invariant waveform learning on epileptic ECoG.

Carlos H. Mendoza-Cardenas, Austin J. Brockmeier

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Circular object arrangement using spherical embeddings.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Pattern Recognit., 2020

2019

Continuation methods for approximate large scale object sequencing.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Mach. Learn., 2019

Improving reference prioritisation with PICO recognition.

Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou

BMC Medical Informatics Decis. Mak., 2019

Quantifying risk factors in medical reports with a context-aware linear model.

Piotr Przybyla, Austin J. Brockmeier, Sophia Ananiadou

J. Am. Medical Informatics Assoc., 2019

2018

Self-Tuned Descriptive Document Clustering Using a Predictive Network.

Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 2018

2017

Quantifying the Informativeness of Similarity Measurements.

Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas

J. Mach. Learn. Res., 2017

A semi-supervised approach using label propagation to support citation screening.

Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou

J. Biomed. Informatics, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Document and Phrase Co-embeddings for Descriptive Clustering.

Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou

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.

Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos

IEEE Trans. Comput. Intell. AI Games, 2016

Learning Recurrent Waveforms Within EEGs.

Austin J. Brockmeier, José C. Príncipe

IEEE Trans. Biomed. Eng., 2016

2015

Explicit versus implicit source estimation for blind multiple input single output system identification.

Austin J. Brockmeier, José C. Príncipe

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Neural Decoding with Kernel-Based Metric Learning.

Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe

Neural Comput., 2014

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control.

Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe

Comput. Intell. Neurosci., 2014

Projentropy: Using entropy to optimize spatial projections.

Austin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2014

Joint optimization of algorithmic suites for EEG analysis.

Eder Santana, Austin J. Brockmeier, José C. Príncipe

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Tensor completion throughmultiple Kronecker product decomposition.

Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Gheorghe Luta, Austin J. Brockmeier

Proceedings of the IEEE International Conference on Acoustics, 2013

A greedy algorithm for model selection of tensor decompositions.

Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki

Proceedings of the IEEE International Conference on Acoustics, 2013

Information-theoretic metric learning: 2-D linear projections of neural data for visualization.

Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe

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.

Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe

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.

Austin J. Brockmeier, Mehrnaz Kh. Hazrati, Walter J. Freeman, Lin Li, José C. Príncipe

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.

Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Efficient temporal decomposition of local field potentials.

Austin J. Brockmeier, José C. Príncipe, Babak Mahmoudi, Justin C. Sanchez

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Evaluating dependence in spike train metric spaces.

Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A metric approach toward point process divergence.

Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2011

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture.

Stefan Craciun, Austin J. Brockmeier, Alan D. George, Herman Lam, José C. Príncipe

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Optimizing microstimulation using a reinforcement learning framework.

Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe

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.

Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe

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