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2020 – today
- 2023
[j4]Aditeya Pandey
, Sehi L'Yi, Qianwen Wang, Michelle A. Borkin, Nils Gehlenborg:
GenoREC: A Recommendation System for Interactive Genomics Data Visualization. IEEE Trans. Vis. Comput. Graph. 29(1): 570-580 (2023)- [j3]Aditeya Pandey, Arjun Srinivasan, Vidya Setlur:
M: Intent-based Recommendations to Support Dashboard Composition. IEEE Trans. Vis. Comput. Graph. 29(1): 1135-1145 (2023) - 2022
- [j2]Aditeya Pandey, Uzma Haque Syeda, Chaitya Shah, John A. Guerra-Gomez, Michelle A. Borkin:
A State-of-the-Art Survey of Tasks for Tree Design and Evaluation With a Curated Task Dataset. IEEE Trans. Vis. Comput. Graph. 28(10): 3563-3584 (2022) - [c10]Aditeya Pandey, Peter Bex, Michelle A. Borkin:
Effect of Anthropomorphic Glyph Design on the Accuracy of Categorization Tasks. CHI Extended Abstracts 2022: 235:1-235:7 - [c9]Kuhu Gupta, Aditeya Pandey, Larry Chan, Ambika Yadav, Brian Staats, Michelle A. Borkin:
Portola: A Hybrid Tree and Network Visualization Technique for Network Segmentation. VizSec 2022: 1-5 - [i5]Aditeya Pandey, Arjun Srinivasan, Vidya Setlur:
MEDLEY: Intent-based Recommendations to Support Dashboard Composition. CoRR abs/2208.03175 (2022) - [i4]Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin:
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR abs/2210.06417 (2022) - 2021
- [c8]Michail Schwab, Aditeya Pandey, Michelle A. Borkin:
Evaluation of 1D Selection Techniques for Mobile Visualizations. CHI Extended Abstracts 2021: 251:1-251:7 - 2020
- [j1]Aditeya Pandey, Harsh Shukla, Geoffrey S. Young, Lei Qin, Amir A. Zamani, Liangge Hsu, Raymond Huang, Cody Dunne, Michelle A. Borkin:
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization. IEEE Trans. Vis. Comput. Graph. 26(1): 938-948 (2020) - [c7]Aditeya Pandey, Uzma Haque Syeda, Michelle A. Borkin:
Towards Identification and Mitigation of Task-Based Challenges in Comparative Visualization Studies. BELIV 2020: 55-64 - [c6]Sara Di Bartolomeo, Aditeya Pandey, Aristotelis Leventidis, David Saffo, Uzma Haque Syeda, Elín Carstensdóttir, Magy Seif El-Nasr, Michelle A. Borkin, Cody Dunne:
Evaluating the Effect of Timeline Shape on Visualization Task Performance. CHI 2020: 1-12 - [i3]Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez, Andrea G. Parker, Michelle A. Borkin:
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence. CoRR abs/2003.01304 (2020) - [i2]Sara Di Bartolomeo, Aditeya Pandey, Aristotelis Leventidis, David Saffo, Uzma Haque Syeda, Elín Carstensdóttir, Magy Seif El-Nasr, Michelle A. Borkin, Cody Dunne:
Evaluating the Effect of Timeline Shape on Visualization Task Performance. CoRR abs/2005.06039 (2020)
2010 – 2019
- 2019
- [i1]Aditeya Pandey, Harsh Shukla, Geoffrey S. Young, Lei Qin, Amir A. Zamani, Liangge Hsu, Raymond Huang, Cody Dunne, Michelle A. Borkin:
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization. CoRR abs/1907.12663 (2019) - 2016
- [c5]Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff:
Visual Bayesian fusion to navigate a data lake. FUSION 2016: 987-994 - 2015
- [c4]Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal:
Multi-sensor Visual Analytics Supported by Machine-Learning Models. ICDM Workshops 2015: 668-674 - [c3]Aditeya Pandey, Kunal Ranjan, Geetika Sharma, Lipika Dey:
Interactive Visual Analysis of Temporal Text Data. VINCI 2015: 109-114 - 2014
- [c2]Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand:
Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. COMAD 2014: 105-108 - [c1]Geetika Sharma, Gautam Shroff, Aditeya Pandey, Puneet Agarwal, Ashwin Srinivasan:
Interactively Visualizing Summaries of Rules and Exceptions. EuroVA@EuroVis 2014
Coauthor Index
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