Daniel Galron

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Demo Data from EDBT 2026 / reviewers in the wild / expert

dblp:35/4666 · DBLP profile ↗

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2ranked-venue papers

1as first author

0since 2021 · last 2009

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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

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	2009	Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation · EMNLP 2009
Natural language and speech › Machine translation statistical machine translation	0.1	1	2009	Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation · EMNLP 2009

Methods — techniques the papers use, named apart from their topics

accuracy-based scoring · 0.1

Year	Publication	Venue	Position
2009	Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation Daniel Galron, Sergio Penkale, Andy Way, I. Dan Melamed	EMNLP	1
2005	Virtual Workspaces in the Grid Kate Keahey, Ian T. Foster, Timothy Freeman 0001, Xuehai Zhang, Daniel Galron	Euro-Par	5