Austin J. Brockmeier

48 papers A 1B 1Misc 6Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts. CoRR C. César Claros Olivares, Austin J. Brockmeier
2025	J	`jnl`	Anomaly Detection via Autoencoder Composite Features and NCE. CoRR Yalin Liao, Austin J. Brockmeier
2025	J	`jnl`	Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling. CoRR Austin Meek, Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
2025	J	`jnl`	Disentangling Latent Embeddings with Sparse Linear Concept Subspaces (SLiCS). CoRR Zhi Li, Hau Phan, Matthew Emigh, Austin J. Brockmeier
2025	J	`jnl`	Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage Psychosis. Neuroinformatics Kristina M. Holton, Shi Yu Chan, Austin J. Brockmeier, Mei-Hua Hall
2025	J	`jnl`	Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity. CoRR Austin Meek, Eitan Sprejer, Iván Arcuschin, Austin J. Brockmeier, Steven Basart
2025	J	`jnl`	Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection. CoRR Hassan Baker, Austin J. Brockmeier
2025	J	`jnl`	Weakly Supervised Object Segmentation by Background Conditional Divergence. CoRR Hassan Baker, Matthew S. Emigh, Austin J. Brockmeier
2025	J	`jnl`	Weakly Supervised Object Segmentation by Background Conditional Divergence. Trans. Mach. Learn. Res. Hassan Baker, Matthew Emigh, Austin J. Brockmeier
2024	J	`jnl`	Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex. CoRR Alex Mulrooney, Austin J. Brockmeier
2023	J	`jnl`	DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. CoRR Oscar Skean, Jhoan Keider Hoyos-Osorio, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo
2023	J	`jnl`	Exploring the influence of functional architecture on cortical thickness networks in early psychosis - A longitudinal study. NeuroImage Kristina M. Holton, Shi Yu Chan, Austin J. Brockmeier, Dost Öngür, Mei-Hua Hall
2023	J	`jnl`	Partial Optimal Transport for Support Subset Selection. Trans. Mach. Learn. Res. Bilal Riaz, Yuksel Karahan, Austin J. Brockmeier
2022	Misc	`conf`	The Representation Jensen-Rényi Divergence. ICASSP Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo
2021	—	`conf`	Local and Sparse Linear Causal Models for fMRI Resting-State Signals. NER Hassan Baker, Austin J. Brockmeier
2021	—	`conf`	Searching for waveforms on spatially-filtered epileptic ECoG. NER Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
2021	J	`jnl`	Searching for waveforms on spatially-filtered epileptic ECoG. CoRR Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
2021	—	`conf`	Shift-invariant waveform learning on epileptic ECoG. EMBC Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
2021	J	`jnl`	Shift-invariant waveform learning on epileptic ECoG. CoRR Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
2021	J	`jnl`	The Representation Jensen-Rényi Divergence. CoRR Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo
2020	J	`jnl`	Circular object arrangement using spherical embeddings. Pattern Recognit. Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2019	J	`jnl`	Continuation methods for approximate large scale object sequencing. Mach. Learn. Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2019	J	`jnl`	Improving reference prioritisation with PICO recognition. BMC Medical Informatics Decis. Mak. Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou
2019	J	`jnl`	Quantifying risk factors in medical reports with a context-aware linear model. J. Am. Medical Informatics Assoc. Piotr Przybyla, Austin J. Brockmeier, Sophia Ananiadou
2018	J	`jnl`	Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Trans. Knowl. Data Eng. Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
2017	A	`conf`	A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2017	J	`jnl`	A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
2017	—	`conf`	Distributed Document and Phrase Co-embeddings for Descriptive Clustering. EACL (1) Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
2017	J	`jnl`	Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
2016	J	`jnl`	Learning Recurrent Waveforms Within EEGs. IEEE Trans. Biomed. Eng. Austin J. Brockmeier, José C. Príncipe
2016	J	`jnl`	Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning. IEEE Trans. Comput. Intell. AI Games Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos
2015	Misc	`conf`	Explicit versus implicit source estimation for blind multiple input single output system identification. ICASSP Austin J. Brockmeier, José C. Príncipe
2014	J	`jnl`	A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2014	—	`conf`	Joint optimization of algorithmic suites for EEG analysis. EMBC Eder Santana, Austin J. Brockmeier, José C. Príncipe
2014	J	`jnl`	Neural Decoding with Kernel-Based Metric Learning. Neural Comput. Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
2014	Misc	`conf`	Projentropy: Using entropy to optimize spatial projections. ICASSP Austin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2013	Misc	`conf`	A greedy algorithm for model selection of tensor decompositions. ICASSP Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki
2013	—	`conf`	Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
2013	Misc	`conf`	Tensor completion throughmultiple Kronecker product decomposition. ICASSP Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Gheorghe Luta, Austin J. Brockmeier
2012	—	`conf`	An Association Framework to Analyze Dependence Structure in Time Series. EMBC Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe
2012	—	`conf`	Locating spatial patterns of waveforms during sensory perception in scalp EEG. EMBC Austin J. Brockmeier, Mehrnaz Kh. Hazrati, Walter J. Freeman, Lin Li, José C. Príncipe
2012	—	`conf`	Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
2011	Misc	`conf`	A metric approach toward point process divergence. ICASSP Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe
2011	—	`conf`	An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture. EMBC Stefan Craciun, Austin J. Brockmeier, Alan D. George, Herman Lam, José C. Príncipe
2011	—	`conf`	Efficient temporal decomposition of local field potentials. MLSP Austin J. Brockmeier, José C. Príncipe, Babak Mahmoudi, Justin C. Sanchez
2011	B	`conf`	Evaluating dependence in spike train metric spaces. IJCNN Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	Optimizing microstimulation using a reinforcement learning framework. EMBC Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
2010	—	`conf`	A novel family of non-parametric cumulative based divergences for point processes. NIPS Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe