Demo Data from EDBT 2026 / reviewers in the wild / expert
Samidh Chatterjee
dblp:81/4961
· DBLP profile ↗
4ranked-venue papers
3as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorTheory of computation · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Machine translation · 50% Optimization for machine learning · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning › training criteria
minimum error rate training |
0.1 | 1 | 2010 | Minimum Error Rate Training by Sampling the Translation Lattice · EMNLP 2010 |
Natural language and speech › Machine translation
statistical machine translation |
0.1 | 1 | 2010 | Minimum Error Rate Training by Sampling the Translation Lattice · EMNLP 2010 |
Methods — techniques the papers use, named apart from their topics
sampling from translation lattice · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Instant approximate 1-center on road networks via embeddingsabstractWe study the 1-center problem on road networks, an important problem in GIS. Using Euclidean embeddings, and reduction to fast nearest neighbor search, we devise an approximation algorithm for this problem. Our initial experiments on real world data sets indicate fast computation of constant factor approximate solutions for query sets much larger than previously computable using exact techniques. Samidh Chatterjee, Bradley Neff |
GIS | 1 |
| 2010 | Minimum Error Rate Training by Sampling the Translation Lattice
Samidh Chatterjee, Nicola Cancedda |
EMNLP | 1 |
| 2010 | Geometric Minimum Spanning Trees with GeoFilterKruskal
Samidh Chatterjee, Michael Connor |
SEA | 1 |
| 2006 | On the All-Farthest-Segments problem for a planar set of points
Asish Mukhopadhyay, Samidh Chatterjee, Benjamin J. Lafreniere |
Inf. Process. Lett. | 2 |