Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease.
CoRR, 2024
Evaluating Individual Contributions in Teams for Project-Based Learning in Data Science.
Proceedings of the IEEE Frontiers in Education Conference, 2024
A Novel Near-Peer Mentoring Model Involving Doctoral Students in an Interdisciplinary Client-Facing Project-Based Learning Course.
Proceedings of the IEEE Frontiers in Education Conference, 2024
Effectiveness of Implementing Team Contracts in a Client-Sponsored Project-Based Learning Course.
Proceedings of the IEEE Frontiers in Education Conference, 2024
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers.
CoRR, 2023
Deep object detection for waterbird monitoring using aerial imagery.
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CoRR, 2022
Deep object detection for waterbird monitoring using aerial imagery.
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Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course.
Proceedings of the IEEE Frontiers in Education Conference, 2022
Interdisciplinary Computing Education: An Introductory Programming and Data Science Course for Postdoctoral Researchers in the Biosciences.
Proceedings of the IEEE Frontiers in Education Conference, 2022
A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow.
J. Digit. Imaging, 2021
COVID-19 Smart Chatbot Prototype for Patient Monitoring.
CoRR, 2021
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models.
CoRR, 2020
Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Generalized Optimization Framework for Score Aggregation in Person Re-identification Systems.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Improving person re-identification systems: a novel score fusion framework for rank-n recognition.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016