EDBT 2026 Demo / reviewers in the wild / expert
Francisco Braga
dblp:289/8560
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-9094-6320ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% | |
| Artificial intelligence
1 paper |
Planning, search and constraint satisfaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › music generation
algorithmic composition |
0.9 | 1 | 2025 | Algorithmic Composition Using Narrative Structure and Tension · IJCAI 2025 |
Methods — techniques the papers use, named apart from their topics
leitmotif · 1.7generative grammar · 1.7evolutionary algorithm · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Algorithmic Composition Using Narrative Structure and TensionabstractThis paper describes an approach to algorithmic music composition that takes narrative structures as input, allowing composers to create music directly from narrative elements. Creating narrative development in music remains a challenging task in algorithmic composition. Our system addresses this by combining leitmotifs to represent characters, generative grammars for harmonic coherence, and evolutionary algorithms to align musical tension with narrative progression. The system operates at different scales, from overall plot structure to individual motifs, enabling both autonomous composition and co-creation with varying degrees of user control. Evaluation with compositions based on tales demonstrated the system's ability to compose music that supports narrative listening and aligns with its source narratives, while being perceived as familiar and enjoyable. Francisco Braga, Gilberto Bernardes, Roger B. Dannenberg, Nuno Correia 0001 |
IJCAI | 1 |