Author

Ignacio Aguilera-Martos

Observed names: Aguilera-Martos, Ignacio, I. Aguilera-Martos

Observed institution: Universidad de Granada

ORCID: 0000-0001-9620-5235

Observed ORCID: 0000-0001-9620-5235

OpenAlex ID: A5089618994

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms

2021 · Jacinto Carrasco, David López, et al. · Neurocomputing · 66

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Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series

2023 · David López, Ignacio Aguilera-Martos, et al. · Information Fusion · 27

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study

2023 · Ignacio Aguilera-Martos, Marta García-Barzana, et al. · Neurocomputing · 16

FLEX: Flexible Federated Learning Framework

2024 · F. Herrera, D. Jiménez-López, et al. · Information Fusion · 12

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TSFE DL : A python library for time series spatio-temporal feature extraction and prediction using deep learning

2022 · Ignacio Aguilera-Martos, Ángel M. García-Vico, et al. · Neurocomputing · 12

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Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting

2024 · Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, et al. · 9

Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses

2023 · Ignacio Aguilera-Martos, Julián Luengo, et al. · Lecture notes in computer science · 5

Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package

2024 · Diego García-Gil, David López, et al. · Information Sciences · 4

A Survey on Deep Learning-Based Semi-Supervised Semantic Segmentation

2026 · Adrián Peláez-Vegas, Ignacio Aguilera-Martos, et al. · ACM Computing Surveys · 1

"IEEE-CIS Technical Challenge on Domain-Specific Question Answering with LLMs"

2026 · Isaac Triguero, Jaime Castillo Ucles, et al. · IEEE DataPort

RADAR: Robust anomaly detection and recognition. A unified and reproducible framework across tabular, time-series, and federated data

2026 · Beatriz Bello-García, Ignacio Aguilera-Martos, et al. · Neurocomputing

WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting

2025 · Cristhian Moya-Mota, Ignacio Aguilera-Martos, et al. · Machine Learning and Knowledge Extraction

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DenoGrad: A Gradient-Based Framework for Data Refinement in Tabular and Time-Series Learning

2025 · Alonso-Ramos, J. Javier, Aguilera-Martos, Ignacio, et al. · arXiv (Cornell University)

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Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting

2024 · Aguilera-Martos, Ignacio, Herrera-Poyatos, Andrés, et al. · arXiv (Cornell University)

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FLEX: FLEXible Federated Learning Framework

2024 · Herrera, Francisco, Jiménez-López, Daniel, et al. · arXiv (Cornell University)

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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)

2022 · Aguilera-Martos, Ignacio, García-Vico, Ángel M., et al. · arXiv (Cornell University)

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Works count: 16

Citation count: 152

H-index: 6

I10-index: 5