Irina Arévalo

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Model-agnostic post-hoc explainability for recommender systems. Expert Syst. Appl. Irina Arévalo, Jose L. Salmeron
2025	J	`jnl`	Concurrent vertical and horizontal federated learning with fuzzy cognitive maps. Future Gener. Comput. Syst. Jose L. Salmeron, Irina Arévalo
2025	J	`jnl`	Model-agnostic post-hoc explainability for recommender systems. CoRR Irina Arévalo, Jose L. Salmeron
2024	J	`jnl`	A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets. IEEE Trans. Emerg. Top. Comput. Irina Arévalo, Jose L. Salmeron
2024	J	`jnl`	A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets. CoRR Irina Arévalo, Jose L. Salmeron
2024	J	`jnl`	A privacy-preserving, distributed and cooperative FCM-based learning approach for Cancer Research. CoRR Jose L. Salmeron, Irina Arévalo
2024	J	`jnl`	Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data. CoRR Jose L. Salmeron, Irina Arévalo, Antonio Ruiz-Celma
2024	J	`jnl`	Blind Federated Learning without initial model. CoRR Jose L. Salmeron, Irina Arévalo
2024	J	`jnl`	Blind Federated Learning without initial model. J. Big Data Jose L. Salmeron, Irina Arévalo
2024	J	`jnl`	Concurrent vertical and horizontal federated learning with fuzzy cognitive maps. CoRR Jose L. Salmeron, Irina Arévalo
2024	—	`conf`	Privacy-preserving distributed learning with chaotic maps. EAIS Irina Arévalo, Jose L. Salmeron, Ivan Romero
2020	—	`conf`	A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research. IJCRS Jose L. Salmeron, Irina Arévalo