Aditya G. Parameswaran
Orcid: 0000-0002-4538-4752Affiliations:
- University of California, Berkeley, USA
- University of Illinois, USA (former)
According to our database1,
Aditya G. Parameswaran
authored at least 137 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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on dl.acm.org
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Bibliography
2024
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
CoRR, 2024
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024
2023
Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces.
Proc. VLDB Endow., 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study.
IEEE Trans. Vis. Comput. Graph., 2022
Proc. VLDB Endow., 2022
Proc. VLDB Endow., 2022
Comput. Graph. Forum, 2022
Proceedings of the 1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, 2022
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
2021
From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight.
SIGMOD Rec., 2021
Proc. VLDB Endow., 2021
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
IEEE Data Eng. Bull., 2021
CoRR, 2021
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
$\varvec{\textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version).
VLDB J., 2020
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
IEEE Trans. Vis. Comput. Graph., 2020
Patterns, 2020
Patterns, 2020
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development.
CoRR, 2020
Proceedings of the VLDB 2020 PhD Workshop co-located with the 46th International Conference on Very Large Databases (VLDB 2020), ONLINE, August 31, 2020
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines.
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
IEEE Data Eng. Bull., 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Avoiding drill-down fallacies with <i>VisPilot</i>: assisted exploration of data subsets.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
PeerJ Prepr., 2018
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration.
IEEE Data Eng. Bull., 2018
How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature.
CoRR, 2018
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts.
CoRR, 2018
DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis.
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets.
Proceedings of the 2018 International Conference on Management of Data, 2018
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2018
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
2017
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making.
Proc. VLDB Endow., 2017
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace.
Proc. VLDB Endow., 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System.
Proc. VLDB Endow., 2016
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management.
IEEE Data Eng. Bull., 2016
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora.
CoRR, 2016
Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting.
Proceedings of the 2016 International Conference on Management of Data, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics.
Proc. VLDB Endow., 2015
Proc. VLDB Endow., 2015
Found. Trends Databases, 2015
GeoHashViz: interactive analytics for mapping spatiotemporal diffusion of Twitter hashtags.
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015
Proceedings of the 7th USENIX Workshop on the Theory and Practice of Provenance, 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015
2014
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014
2013
ACM Trans. Knowl. Discov. Data, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
An overview of the deco system: data model and query language; query processing and optimization.
SIGMOD Rec., 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Recommendation systems with complex constraints: A course recommendation perspective.
ACM Trans. Inf. Syst., 2011
Commun. ACM, 2011
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011
2010
Proc. VLDB Endow., 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009
Proceedings of the Third International Conference on Weblogs and Social Media, 2009
2008
Proceedings of the 24th ACM Symposium on Computational Geometry, 2008