Publications

Michael Kintscher, Jinbin Huang, Anjana Arunkumar, Ashish Amresh, and Chris Bryan. Comparing Collaborative Visualization Behaviors in Desktop and Augmented Reality Environments accepted to VRST 2023.
Paper | Supplementary Materials

Anjana Arunkumar, Lace Padilla, Gi-Yeul Bae, and Chris Bryan. Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification accepted to IEEE VIS 2023.
Paper | Supplementary Materials

Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal, Sriram Chandrasekaran, and Chris Bryan. LINGO: Visually Debiasing Natural Language Instructions to Support Task Diversity Computer Graphics Forum, 42.3, 2023.
DOI | Paper | Video

Anjana Arunkumar, Swaroop Mishra, Bhavdeep Sachdeva, Chitta Baral, and Chris Bryan. Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow in press, accepted to EACL 2023.
DOI | Paper

Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, and Chris Bryan. PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid in press, accepted to IEEE Visualization Conference (VIS) 2022.
DOI | Paper

Anjana Arunkumar, Nitin Gupta, Andrea Pinceti, Lalitha Sankar, and Chris Bryan, PMUVis: A Large Scale Platform to Assist Power System Operators in a Smart Grid IEEE Computer Graphics and Applications, 2022.
DOI | Paper

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, and 35 others. Benchmarking generalization via in-context instructions on 1,600+ language tasks in press, accepted to EMNLP 2022.
arXiv preprint

Swaroop Mishra and Anjana Arunkumar. How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation accepted to 2021 AAAI Conference on Artificial Intelligence, 35(15), 13561-13569.
DOI | Paper

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Examining the Effect of Visualization Proxemics on Decision Making using Touchscreen Dashboards accepted to Decision Sciences Institute Annual Conference 2023.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Automated Construction of Business Intelligence Dashboards Using Artificial Intelligence Tools accepted to Decision Sciences Institute Annual Conference 2023.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Examining The Effects of Visual Redundancy on Understanding Uncertainty Representations in Schedule Risk Analysis accepted to Southwest Decision Sciences Institute Annual Conference 2023.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Examining the Effect of Reconfiguration Interactions on Understanding Uncertainty in Supply Chain Disruption accepted to Southwest Decision Sciences Institute Annual Conference 2023.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Examining the Effect of Visual Redundancy on the Understanding of Visualizations in Procurement and Sourcing accepted to Decision Sciences Institute Annual Conference 2022.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Examining the Effect of Reconfiguration Interactions on the Understanding of Anomalies in Supply Chain Management accepted to Decision Sciences Institute Annual Conference 2022.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Evaluation of Visual Uncertainty Representations in Schedule Risk Analysis accepted to Midwest Decision Sciences Institute Annual Conference 2022.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Modelling the Complexity of Risk Centered Supply Chain Network Visualization accepted to Midwest Decision Sciences Institute Annual Conference 2022.

Anjana Arunkumar, Shashank Ginjpalli, and Chris Bryan. Bayesian Modelling of Alluvial Diagram Complexity accepted to 2021 IEEE Visualization Conference (VIS), pp 51-55, 2021.
DOI | Paper

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Impact of Uncertainty Representation on Decision Making for Business Network Visualization accepted to Decision Sciences Institute Annual Conference 2021.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Bayesian Modelling of Uncertainty in Schedule Risk Analysis using Gantt Charts accepted to Decision Sciences Institute Annual Conference 2021.

Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Modelling the Complexity of Supply Chain Network Visualization accepted to Decision Sciences Institute Annual Conference 2021.

Anjana Arunkumar and Arun Madapusi. Strategy-Enterprise System Alignment and Firm Performance accepted to Northeast Decision Sciences Institute Annual Conference 2021.

Anjana Arunkumar, Swaroop Mishra, and Chris Bryan. A Visual Exploration of Fair Evaluation for ML - Bridging the Gap Between Research and the Real World accepted to Visualization for AI Explainability (VISxAI workshop), IEEE Visualization Conference (VIS) 2020 .
Workshop Site | Data Story | Base Paper

Jinbin Huang, Aditi Mishra, Anjana Arunkumar, and Chris Bryan. TotemFinder: A Visual Analytics Approach for Image-based Key Players Identification accepted to VAST Challenge, IEEE Visualization Conference (VIS) 2020 .
Contest Site | Short Paper | Code Repository | Honorable Mention : Effective Use of Visual Encodings for Correcting Classification Errors

Swaroop Mishra, Anjana Arunkumar, Bhavdeep Sachdeva, Chris Bryan and Chitta Baral. DQI: A Guide to Benchmark Evaluation accepted to Uncertainty & Robustness in Deep Learning Workshop, ICML, 2020.
Workshop Site | arXiv preprint

Swaroop Mishra, Anjana Arunkumar, Chris Bryan and Chitta Baral. Our Evaluation Metric Needs an Update to Encourage Generalization accepted to Uncertainty & Robustness in Deep Learning Workshop, ICML, 2020.
Workshop Site | arXiv preprint

Swaroop Mishra, Anjana Arunkumar, Bhavdeep Sachdeva, Chris Bryan and Chitta Baral. VAIDA: An Educative Benchmark Creation Paradigm using Visual Analytics for Interactively Discouraging Artifacts accepted to Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation (Workshop), NeurIPS, 2020.
Workshop Site | Presentation

Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan. Real-Time Visual Feedback for Educative Benchmark Creation: A Human-and Metric-in-the-Loop Workflow accepted to HAMLETS (Human And Machine in-the-Loop Evaluation and Learning Strategies Workshop) NeurIPS, 2020.
Workshop Site | Paper

Swaroop Ranjan Mishra, and Anjana Arunkumar. Front Contribution instead of Back Propagation accepted to Beyond Backpropagation: Novel Ideas for Training Neural Architectures (Workshop), NeurIPS, 2020.
Workshop Site | Paper

Swaroop Mishra, Anjana Arunkumar, and Bhavdeep Sachdeva. Is High Quality Data All You Need? accepted to The pre-registration experiment: an alternative publication model for machine learning research (Workshop), NeurIPS, 2020.
Workshop Site | Paper

Anjana Arunkumar and Arun Madapusi. Investigating the Influence of Top Management Support in Systemic Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2020.

Anjana Arunkumar and Arun Madapusi. Examining Data Visualization's Impact on Decision Making accepted to Decision Sciences Institute Annual Conference 2020.

Anjana Arunkumar and Arun Madapusi. Investigating the Influence of Chart Embellishment on Decision Making accepted to Decision Sciences Institute Annual Conference 2020.

Anjana Arunkumar and Arun Madapusi. Integration Mechanisms, Absorptive Capacity, & Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar and Arun Madapusi. Relational Capital & Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar and Arun Madapusi. The Role of Consultants in Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar and Sandhya, M.K. Abstractive Summarization Through Sentiment Analysis Of User Product Reviews - An RNN Approach accepted to Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar, Sandhya, M.K., and Arun Madapusi. Active Learning Methodology: Bridging Theory and Practice accepted to Southwest Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar, Arun Madapusi, and Monica Jenefer. ES Configurations and their Impact on firm Performance accepted to Southwest Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar, Arun Madapusi, and Monica Jenefer. The Role of Moderators in ERP System Deployment Success accepted to Southwest Decision Sciences Institute Annual Conference 2019.

Anjana Arunkumar. Competences Influencing Absorptive Capacity in Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2018.

Anjana Arunkumar. Enterprise System Configuration and Performance accepted to Decision Sciences Institute Annual Conference 2018.

Anjana Arunkumar. The Influence of Alignment in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2018.

Anjana Arunkumar and Arun Madapusi. Absorptive Capacity in Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.
Finalist : Undergraduate Poster Competition

Anjana Arunkumar and Arun Madapusi. Configuring SME Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.

Anjana Arunkumar and Arun Madapusi. Critical Success Factors in Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.

Arun Madapusi and Anjana Arunkumar. The Influence of Competency Factors in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.

Arun Madapusi and Anjana Arunkumar. The Influence of Knowledge Capabilities in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.

Arun Madapusi and Anjana Arunkumar. The Influence of Knowledge Capital in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.