Ignacio Aguilera-Martos

13 papers B 1Misc 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models. CoRR J. Javier Alonso-Ramos, Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Francisco Herrera
2025	J	`jnl`	Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package. Inf. Sci. Diego García-Gil, David López, Daniel Argüelles-Martino, Jacinto Carrasco, Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera
2025	J	`jnl`	FLEX: Flexible Federated Learning Framework. Inf. Fusion Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2025	J	`jnl`	WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting. Mach. Learn. Knowl. Extr. Cristhian Moya-Mota, Ignacio Aguilera-Martos, Diego García-Gil, Julián Luengo
2024	J	`jnl`	FLEX: FLEXible Federated Learning Framework. CoRR Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2024	J	`jnl`	Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. CoRR Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera
2024	B	`conf`	Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. IJCNN Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera
2023	J	`jnl`	Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Inf. Fusion David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo
2023	J	`jnl`	Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera
2023	Misc	`conf`	Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera
2023	J	`jnl`	TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera
2022	J	`jnl`	TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study). CoRR Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera
2021	J	`jnl`	Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera