Publications
Full Papers (Journal, Conference, and Symposium)
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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
Paper | Supplementary Materials
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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
Paper | Supplementary Materials
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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
DOI | Paper | Video
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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
DOI | Paper
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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
DOI | Paper
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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
DOI | Paper
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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
arXiv preprint
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Workshop Papers, Short Papers, and Other
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
DOI | Paper
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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.
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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.
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Anjana Arunkumar, Daniel Ortiz, and Arun Madapusi. Modelling the Complexity of Supply Chain Network Visualization accepted to Decision Sciences Institute Annual Conference 2021.
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Anjana Arunkumar and Arun Madapusi. Strategy-Enterprise System Alignment and Firm Performance accepted to Northeast Decision Sciences Institute Annual Conference 2021.
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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
Workshop Site | Data Story | Base Paper
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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
Contest Site | Short Paper | Code Repository | Honorable Mention : Effective Use of Visual Encodings for Correcting Classification Errors
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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
Workshop Site | arXiv preprint
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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
Workshop Site | arXiv preprint
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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
Workshop Site | Presentation
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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
Workshop Site | Paper
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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
Workshop Site | Paper
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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
Workshop Site | Paper
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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.
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Anjana Arunkumar and Arun Madapusi. Examining Data Visualization's Impact on Decision Making accepted to Decision Sciences Institute Annual Conference 2020.
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Anjana Arunkumar and Arun Madapusi. Investigating the Influence of Chart Embellishment on Decision Making accepted to Decision Sciences Institute Annual Conference 2020.
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Anjana Arunkumar and Arun Madapusi. Integration Mechanisms, Absorptive Capacity, & Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.
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Anjana Arunkumar and Arun Madapusi. Relational Capital & Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.
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Anjana Arunkumar and Arun Madapusi. The Role of Consultants in Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2019.
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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.
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Anjana Arunkumar, Sandhya, M.K., and Arun Madapusi. Active Learning Methodology: Bridging Theory and Practice accepted to Southwest Decision Sciences Institute Annual Conference 2019.
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Anjana Arunkumar, Arun Madapusi, and Monica Jenefer. ES Configurations and their Impact on firm Performance accepted to Southwest Decision Sciences Institute Annual Conference 2019.
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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.
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Anjana Arunkumar. Competences Influencing Absorptive Capacity in Enterprise Systems accepted to Decision Sciences Institute Annual Conference 2018.
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Anjana Arunkumar. Enterprise System Configuration and Performance accepted to Decision Sciences Institute Annual Conference 2018.
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Anjana Arunkumar. The Influence of Alignment in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2018.
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Anjana Arunkumar and Arun Madapusi. Absorptive Capacity in Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.
Finalist : Undergraduate Poster Competition
Finalist : Undergraduate Poster Competition
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Anjana Arunkumar and Arun Madapusi. Configuring SME Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.
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Anjana Arunkumar and Arun Madapusi. Critical Success Factors in Enterprise Systems accepted to Northeast Decision Sciences Institute Annual Conference 2018.
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Arun Madapusi and Anjana Arunkumar. The Influence of Competency Factors in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.
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Arun Madapusi and Anjana Arunkumar. The Influence of Knowledge Capabilities in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.
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Arun Madapusi and Anjana Arunkumar. The Influence of Knowledge Capital in Enterprise System Deployments accepted to Decision Sciences Institute Annual Conference 2017.