Sotabase

Career

· Associate Professor, University of California, Berkeley2021–
· Postdoctoral Scholar, Computer Science, Massachusetts Institute of Technology2013–2014
· PhD, Computer Science, Stanford University2007–2013
· BTech, Computer Science, Indian Institute of Technology, Bombay2003–2007

Publications (150)

SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics
Proceedings of the VLDB Endowment · 2015
308
cited
CrowdScreen: algorithms for filtering data with humans
SIGMOD Conference · 2012
249
cited
Why Do Multi-Agent LLM Systems Fail?
arXiv.org · 2025
200
cited
So who won?: dynamic max discovery with the crowd
SIGMOD Conference · 2012
198
cited
DataHub: Collaborative Data Science & Dataset Version Management at Scale
Conference on Innovative Data Systems Research · 2014
187
cited
Recommendation systems with complex constraints: A course recommendation perspective
TOIS · 2011
160
cited
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System
Proceedings of the VLDB Endowment · 2016
155
cited
Human-assisted graph search: it's okay to ask questions
Proceedings of the VLDB Endowment · 2011
155
cited
Deco: declarative crowdsourcing
International Conference on Information and Knowledge Management · 2012
147
cited
Towards Visualization Recommendation Systems
SGMD · 2016
144
cited
Challenges in Data Crowdsourcing
IEEE Transactions on Knowledge and Data Engineering · 2016
132
cited
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities
DEEM@SIGMOD · 2018
131
cited
Answering Queries using Humans, Algorithms and Databases
Conference on Innovative Data Systems Research · 2011
128
cited
Rapid Sampling for Visualizations with Ordering Guarantees
Proceedings of the VLDB Endowment · 2014
119
cited
Fuzzy Joins Using MapReduce
IEEE International Conference on Data Engineering · 2012
115
cited
Evaluating the crowd with confidence
Knowledge Discovery and Data Mining · 2013
108
cited
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
International Conference on Human Factors in Computing Systems · 2021
106
cited
Towards scalable dataframe systems
Proceedings of the VLDB Endowment · 2020
104
cited
Active sampling for entity matching
Knowledge Discovery and Data Mining · 2012
102
cited
Information seeking
Communications of the ACM · 2011
100
cited
Sotabase
Aditya Parameswaran | Researcher Profile | Sotabase | Sotabase