EDBT 2026 Demo / reviewers in the wild / expert
Daniel N. Hennessy
dblp:09/1505
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 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.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 75% Computational science and engineering · 25% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 50% Parallel and multicore computing · 50% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein crystallization |
0.0 | 1 | 1994 | Induction of Rules for Biological Macromolecular Crystallization · ISMB 1994 |
Bioinformatics and computational biology › structural biology
protein crystallography |
0.0 | 1 | 1994 | The Crystallographer's Assistant · AAAI 1994 |
Bioinformatics and computational biology › structural bioinformatics
protein structure determination |
0.0 | 1 | 1994 | The Crystallographer's Assistant · AAAI 1994 |
Computational science and engineering
rule induction |
0.0 | 1 | 1994 | Induction of Rules for Biological Macromolecular Crystallization · ISMB 1994 |
Parallel and multicore computing › parallelization strategies
coarse-grained parallelism |
0.0 | 1 | 1994 | Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism · ISMB 1994 |
Distributed systems
distributed machine learning |
0.0 | 1 | 1994 | Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism · ISMB 1994 |
Methods — techniques the papers use, named apart from their topics
rule induction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | The Crystallographer's Assistant
Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian |
AAAI | 2 |
| 1994 | Induction of Rules for Biological Macromolecular Crystallization
Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian |
ISMB | 1 |
| 1994 | Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
Foster J. Provost, Daniel N. Hennessy |
ISMB | 2 |
| 1989 | A distributed knowledge engineering approach to manufacturing feature recognitionabstractNo abstract available. Daniel N. Hennessy, Rangasami L. Kashyap |
IEA/AIE (2) | 1 |