Demo Data from EDBT 2026 / reviewers in the wild / expert
Norbert Baume
dblp:339/9848
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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 |
Deep learning architectures and training · 50% Time series and sequential data · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Time series and sequential data
anomaly detection |
0.8 | 1 | 2024 | SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024 |
Machine learning › Deep learning architectures and training
convolutional neural network |
0.8 | 1 | 2024 | SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024 |
Computational social science and digital humanities
sports analytics |
0.2 | 1 | 2024 | SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
self-attention · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass 0002 |
IJCAI | 6 |