Demo Data from EDBT 2026 / reviewers in the wild / expert
Rishi Tekriwal
dblp:278/8435
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Planning, search and constraint satisfaction · 50% Trustworthy machine learning · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning under uncertainty
information gathering |
0.4 | 1 | 2020 | Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness · EMNLP (1) 2020 |
Machine learning › Trustworthy machine learning
robustness |
0.4 | 1 | 2020 | Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness · EMNLP (1) 2020 |
Methods — techniques the papers use, named apart from their topics
iterative feature mining · 0.4constraint-based data collection · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model RobustnessabstractStefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld |
EMNLP (1) | 4 |