58 citations · 122 across the 8 of their papers we have counts for
10 papers
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Joseph G. Zalameda, Megan A. Witherow, Alexander M. Glandon +2
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data…
Hierarchical Bayesian Framework for Multisource Domain Adaptation
Alexander M. Glandon, Khan M. Iftekharuddin
Multisource domain adaptation (MDA) aims to use multiple source datasets with available labels to infer labels on a target dataset without available labels for target supervision.…
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients
Walia Farzana, Mustafa M Basree, Norou Diawara +6
Recent clinical research describes a subset of glioblastoma patients that exhibit REP prior to start of radiation therapy. Current literature has thus far described this population…
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
Megan A. Witherow, Manar D. Samad, Norou Diawara +2
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, am…
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information
Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon +3
Efficient processing of large-scale time series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand engineered feature extra…