Palavras-chave:
- 4-part harmonization
- adaptive directed mutation
- Aggregation method resilience
- anticipated fitness evaluation
- Armonización a 4 voces
- Búsqueda local
- Communication Efficiency
- Computational Creativity
- Directed Mutation
- Enseñanza automática evolutiva
- Enseñanza humana
- Evolutionary Machine Teaching
- FedAVG
- federated learning
- FedGP
- Genetic Algorithm
- Genetic Programming
- Human Teaching
- Local Search
- Model Aggregation
- Models Aggregation
- Multi-Agent Systems
- Multi-Agents System
- Mutación dirigida
- Optical Music Recognition
- search space reduction
- YOLOv9
Publicações de Francisco Fernández de Vega ordenado por recente
| and , A Framework for Comparing SATB Harmonization Approaches, in: ACM GECCO 2026 (GECCO ’26 Companion)., ACM, 2026 |
| , , and , FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios, 2026 |
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| and , Advancing 4-Part Evolutionary Harmony Through Analysis of Human–Machine Approaches to Teaching–Learning (2025), in: Complexity, 2025:1 |
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| , , and , Genetic Programming in Federated Aggregation: A comparison of FedGP with State of the Art Methods, ICAART, 2025 |
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| , , and , Decentralized Optical Music Recognition Using YOLO and FedGP for Music Education, in: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE), IEEE, Ancona (Italy), 2025 |
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| , and , Beneficios mutuos de la enseñanza-aprendizaje máquina-humano, in: XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (maeb 2025), San Sebastián, Spain, 2025 |
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| and , Combining local search and directed mutation in evolutionary approaches to 4-part harmony, in: Artificial Intelligence in Music, Sound, Art and Design: 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Trieste, Italy, páginas 141-155, Springer, 2025 |
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| , and , FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with non-IID data, in: Applications of Evolutionary Computation: 28th European Conference EvoApplications 2025 Helds as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Trieste, Italy, páginas 419–434, Springer, 2025 |
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| , and , Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, Porto, Portugal, páginas 1427-1431, Springer, 2025 |
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