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JULIÁN
LUENGO MARTÍN
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones (105) Publicaciones de JULIÁN LUENGO MARTÍN
2024
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Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites
Applied Soft Computing, Vol. 160
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On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data
IEEE Transactions on Fuzzy Systems
2023
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Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
Information Fusion, Vol. 100
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Low-Impact Feature Reduction regularization term: How to improve Artificial Intelligence with Explainability
CEUR Workshop Proceedings
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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study
Neurocomputing, Vol. 544
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Optimizing LIME Explanations Using REVEL Metrics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study
International Journal of Intelligent Systems, Vol. 2023
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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)
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TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning
Neurocomputing, Vol. 517, pp. 223-228
2022
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3SHACC: Three stages hybrid agglomerative constrained clustering
Neurocomputing, Vol. 490, pp. 441-461
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A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
Information Fusion
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The impact of heterogeneous distance functions on missing data imputation and classification performance
Engineering Applications of Artificial Intelligence, Vol. 111
2021
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Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
Neurocomputing, Vol. 462, pp. 440-452
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Enhancing instance-level constrained clustering through differential evolution
Applied Soft Computing, Vol. 108
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ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism
Swarm and Evolutionary Computation, Vol. 66
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Multiple instance classification: Bag noise filtering for negative instance noise cleaning
Information Sciences, Vol. 579, pp. 388-400
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Synthetic Sample Generation for Label Distribution Learning
Information Sciences, Vol. 544, pp. 197-213
2020
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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)
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Big Data Preprocessing: Enabling Smart Data
Springer International Publishing, pp. 1-186
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COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605