Demo Data from VLDB 2026 / reviewers in the wild / expert
Anelise P. Braga
dblp:99/3231
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2Artificial 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.
| Databases, data mining, and information retrieval
1 paper |
Database theory · 56% Data models and query languages · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory › dependency theory
inclusion dependencies |
0.0 | 1 | 1989 | Optimization of Relational Schemas Containing Inclusion Dependencies · VLDB 1989 |
Data models and query languages › schema management
schema optimization |
0.0 | 1 | 1989 | Optimization of Relational Schemas Containing Inclusion Dependencies · VLDB 1989 |
Database theory › database design theory
relational database design |
0.0 | 1 | 1989 | Optimization of Relational Schemas Containing Inclusion Dependencies · VLDB 1989 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Training SVMs with EDR AlgorithmabstractThe aim of this work is to present a new training algorithm for SVMs based on the pattern selection strategy called Error Dependent Repetition (EDR). With EDR, the presentation frequency of a pattern depends on its error: patterns with larger errors are selected more frequently and patterns with smaller error (or learned) are presented with minor frequency. Using a simple iterative process based on gradient ascent, SVM-EDR can solve the dual problem without any assumption about support vectors or the Karush-Kuhn-Tucker (KKT) conditions. Marcelo Barros de Almeida, Anelise P. Braga, João Pedro Braga |
Int. J. Neural Syst. | 2 |
| 1989 | A Proposal for Formalizing and Extending the Generalization and Subset Abstractions in the Entity-Relationship Model
Luiz Tucherman, Marco A. Casanova, Pedro M. Gualandi, Anelise P. Braga |
ER | 4 |
| 1989 | Optimization of Relational Schemas Containing Inclusion Dependencies
Marco A. Casanova, Luiz Tucherman, António L. Furtado 0001, Anelise P. Braga |
VLDB | 4 |