Demo Data from EDBT 2026 / reviewers in the wild / expert
Frédéric Rodriguez
dblp:117/3499
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1994
0000-0001-5491-8165ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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 · 60% Computational science and engineering · 40% | |
| Software engineering, system software, and programming languages
1 paper |
Program synthesis and code generation · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
code generation |
0.0 | 1 | 1994 | BUILD: a program generator for modelling experimental biological data · Comput. Appl. Biosci. 1994 |
Bioinformatics and computational biology › systems biology
enzyme kinetics |
0.0 | 1 | 1992 | Time correction for computing Michaelis-Menten kinetics · Comput. Appl. Biosci. 1992 |
Bioinformatics and computational biology › systems biology › enzyme kinetics
michaelis-menten parameter estimation |
0.0 | 1 | 1992 | Time correction for computing Michaelis-Menten kinetics · Comput. Appl. Biosci. 1992 |
Methods — techniques the papers use, named apart from their topics
iterative parameter adjustment · 0.0code generation · 0.0time correction · 0.0least squares iterative procedure · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | BUILD: a program generator for modelling experimental biological dataabstractBUILD is a program generator acting at source code level. The generated code corresponds to a whole application in order to model a biological process of interest using an iterative adjustment of experimental data. The program is designed to be executed in command line mode for processing of multiple data files with an individual execution control for each file. The results are completed by modular statistical and graphical functions. This approach has been shown to reduce the time and the amount of work needed for program development, debugging and maintenance. To date, BUILD has been successfully used in mathematical analysis of phenomenological approaches, but other fields of activity, such as educational software, are also conceivable. Frédéric Rodriguez, Anne Altibelli, André Lopez |
Comput. Appl. Biosci. | 1 |
| 1992 | Time correction for computing Michaelis-Menten kineticsabstractA description of time correction applied to the integrated Michaelis equation in view of cancelling a non-correct estimation of the Michaelis constant due to a lack of coincidence between time zero of measurement and time zero of reaction is presented. An estimation of kinetic parameters is made with time correction on the same experimental set of data using a classical least squares iterative procedure. Frédéric Rodriguez, M. Prats |
Comput. Appl. Biosci. | 1 |