Publikationen (107) Publikationen von JULIÁN LUENGO MARTÍN

2025

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

    Information Sciences, Vol. 690

2024

  1. Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites

    Applied Soft Computing, Vol. 160

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

    Proceedings of the International Joint Conference on Neural Networks

  3. On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data

    IEEE Transactions on Fuzzy Systems

2023

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

    Information Fusion, Vol. 100

  2. Low-Impact Feature Reduction regularization term: How to improve Artificial Intelligence with Explainability

    CEUR Workshop Proceedings

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

    Neurocomputing, Vol. 544

  4. Optimizing LIME Explanations Using REVEL Metrics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study

    International Journal of Intelligent Systems, Vol. 2023

  6. Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning

    Neurocomputing, Vol. 517, pp. 223-228

2022

  1. 3SHACC: Three stages hybrid agglomerative constrained clustering

    Neurocomputing, Vol. 490, pp. 441-461

  2. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges

    Information Fusion

  3. The impact of heterogeneous distance functions on missing data imputation and classification performance

    Engineering Applications of Artificial Intelligence, Vol. 111

2021

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

    Neurocomputing, Vol. 462, pp. 440-452

  2. Enhancing instance-level constrained clustering through differential evolution

    Applied Soft Computing, Vol. 108

  3. ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism

    Swarm and Evolutionary Computation, Vol. 66

  4. Multiple instance classification: Bag noise filtering for negative instance noise cleaning

    Information Sciences, Vol. 579, pp. 388-400

  5. Synthetic Sample Generation for Label Distribution Learning

    Information Sciences, Vol. 544, pp. 197-213

2020

  1. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)