1 code implementation • 19 Jan 2023 • Oscar Skean, Jhoan Keider Hoyos Osorio, Austin J. Brockmeier, Luis Gonzalo Sanchez Giraldo
We introduce an information-theoretic quantity with similar properties to mutual information that can be estimated from data without making explicit assumptions on the underlying distribution.
1 code implementation • 2 Dec 2021 • Jhoan Keider Hoyos Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sanchez Giraldo
We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels.
no code implementations • 15 Nov 2021 • Hassan Baker, Austin J. Brockmeier
To reveal the functional networks among these voxels, we then apply independent component analysis (ICA) to model these voxels' signals as a mixture of latent sources each defining a functional network.
no code implementations • 6 Aug 2021 • Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizure detection algorithms must discriminate abnormal neuronal activity associated with a seizure from normal neural activity in a variety of conditions.
1 code implementation • 25 Mar 2021 • Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizures are one of the defining symptoms in patients with epilepsy, and due to their unannounced occurrence, they can pose a severe risk for the individual that suffers it.
no code implementations • 1 Jan 2021 • Austin J. Brockmeier, Claudio Cesar Claros, Carlos H. Mendoza-Cardenas, Yüksel Karahan, Matthew S. Emigh, Luis Gonzalo Sanchez Giraldo
We propose the max-sliced Bures distance, a lower bound on the max-sliced Wasserstein-2 distance, to identify the instances associated with the maximum discrepancy between two samples.
no code implementations • EACL 2017 • Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Y. Goulermas, Jun{'}ichi Tsujii, Sophia Ananiadou
Descriptive document clustering aims to automatically discover groups of semantically related documents and to assign a meaningful label to characterise the content of each cluster.