Improving person re-identification systems: a novel score fusion framework for rank-n recognition. - Arko Barman; Shishir K. Shah (ICVGIP, 2016)

SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems. - Arko Barman; Shishir K. Shah (ICCV, 2017)

A Generalized Optimization Framework for Score Aggregation in Person Re-identification Systems. - Arko Barman; Shishir K. Shah (AVSS, 2018)

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 (ISBI, 2019)

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 (Computer-Aided Diagnosis, 2020)

Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models. - Arko Barman (CoRR, 2020)

COVID-19 Smart Chatbot Prototype for Patient Monitoring. - Hannah Lei; Weiqi Lu; Alan Ji; Emmett Bertram; Paul Gao 002; Xiaoqian Jiang; Arko Barman (CoRR, 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)

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)

Interdisciplinary Computing Education: An Introductory Programming and Data Science Course for Postdoctoral Researchers in the Biosciences. - Arko Barman; Leslie S. Beckman; Yasmin Chebaro (FIE, 2022)

Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course. - Arko Barman; Su Chen; Andersen Chang; Genevera I. Allen (FIE, 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 003; Raul Garcia; Maojie Tang; Hank Arnold; Anna Vallery; et al. (ICMLA, 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; et al. (CoRR, 2022)

Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers. - Huafeng Liu 005; Benjamin Dowdell; Todd Engelder; Zarah Pulmano; Nicolas Osa; Arko Barman (CoRR, 2023)

Effectiveness of Implementing Team Contracts in a Client-Sponsored Project-Based Learning Course. - Arko Barman (FIE, 2024)

A Novel Near-Peer Mentoring Model Involving Doctoral Students in an Interdisciplinary Client-Facing Project-Based Learning Course. - Arko Barman (FIE, 2024)

Evaluating Individual Contributions in Teams for Project-Based Learning in Data Science. - Arko Barman; Su Chen; Genevera I. Allen (FIE, 2024)

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease. - Maryam Khalid; Fadeel Sher Khan; John Broussard; Arko Barman (CoRR, 2024)

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, 2025)