Arko Barman

According to our database, Arko Barman authored at least 19 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers.

Jeffrey Joan Sam, Janhavi Sathe, Nikhil Chigali, Naman Gupta, Radhey Ruparel, Yicheng Jiang, Janmajay Singh, James W. Berck, Arko Barman

CoRR, July, 2025

2024

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease.

Maryam Khalid, Fadeel Sher Khan, John Broussard, Arko Barman

CoRR, 2024

Evaluating Individual Contributions in Teams for Project-Based Learning in Data Science.

Arko Barman, Su Chen, Genevera I. Allen

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.

Arko Barman

Proceedings of the IEEE Frontiers in Education Conference, 2024

Effectiveness of Implementing Team Contracts in a Client-Sponsored Project-Based Learning Course.

Arko Barman

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers.

Huafeng Liu, Benjamin Dowdell, Todd Engelder, Zarah Pulmano, Nicolas Osa, Arko Barman

CoRR, 2023

2022

Deep object detection for waterbird monitoring using aerial imagery.

Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Raul Garcia, Dhananjay Vijay, Jiahui Yu, Maojie Tang, Tianjiao Yu, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman

CoRR, 2022

Deep object detection for waterbird monitoring using aerial imagery.

Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman

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.

Arko Barman, Su Chen, Andersen Chang, Genevera I. Allen

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.

Arko Barman, Leslie S. Beckman, Yasmin Chebaro

Proceedings of the IEEE Frontiers in Education Conference, 2022

2021

A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-Identification.

Arko Barman, Shishir K. Shah

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.

Kendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo

J. Digit. Imaging, 2021

COVID-19 Smart Chatbot Prototype for Patient Monitoring.

Hannah Lei, Weiqi Lu, Alan Ji, Emmett Bertram, Paul Gao, Xiaoqian Jiang, Arko Barman

CoRR, 2021

2020

Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models.

Arko Barman

CoRR, 2020

Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage.

Arko Barman, Victor Lopez-Rivera, Songmi Lee, Farhaan S. Vahidy, James Z. Fan, Sean I. Savitz, Sunil A. Sheth, Luca Giancardo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks.

Arko Barman, Mehmet Enes Inam, Songmi Lee, Sean I. Savitz, Sunil Sheth, Luca Giancardo

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

A Generalized Optimization Framework for Score Aggregation in Person Re-identification Systems.

Arko Barman, Shishir K. Shah

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems.

Arko Barman, Shishir K. Shah

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Improving person re-identification systems: a novel score fusion framework for rank-n recognition.

Arko Barman, Shishir K. Shah

Proceedings of the Tenth Indian Conference on Computer Vision, 2016