E-LIB Suche - Ergebnisse für: Luengo, Julián - Sprache DE

Personensuche X

Sortierung: Relevanz

Sortierung: Jahr

1

TSFEDL: A python library for time series spatio-temporal fe..:

Aguilera-Martos, Ignacio ; García-Vico, Ángel M. ; Luengo, Julián...
Neurocomputing. 517 (2023) - p. 223-228 , 2023

Link: https://doi.org/10.1016/..

2

Multi-step histogram based outlier scores for unsupervised ..:

Aguilera-Martos, Ignacio ; García-Barzana, Marta ; García-Gil, Diego...
Neurocomputing. 544 (2023) - p. 126228 , 2023

Link: https://doi.org/10.1016/..

3

Optimizing LIME Explanations Using REVEL Metrics:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,

Sevillano-Garcia, Ivan ; Luengo, Julian ; Herrera, Francisco - p. 304-313 , 2023

Link: https://doi.org/10.1007/..

4

Fusing anomaly detection with false positive mitigation met..:

López, David ; Aguilera-Martos, Ignacio ; García-Barzana, Marta...
Information Fusion. 100 (2023) - p. 101957 , 2023

Link: https://doi.org/10.1016/..

5

Revisiting Histogram Based Outlier Scores: Strengths and We..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,

Aguilera-Martos, Ignacio ; Luengo, Julián ; Herrera, Francisco - p. 39-48 , 2023

Link: https://doi.org/10.1007/..

6

REVEL Framework to Measure Local Linear Explanations for Bl..:

Sevillano-García, Iván ; Luengo, Julián ; Herrera, Francisco.
International Journal of Intelligent Systems. 2023 (2023) - p. 1-34 , 2023

Link: https://doi.org/10.1155/..

7

3SHACC: Three stages hybrid agglomerative constrained clust..:

González-Almagro, Germán ; Suárez, Juan Luis ; Luengo, Julián..
Neurocomputing. 490 (2022) - p. 441-461 , 2022

Link: https://doi.org/10.1016/..

8

The impact of heterogeneous distance functions on missing d..:

Santos, Miriam Seoane ; Abreu, Pedro Henriques ; Fernández, Alberto..
Engineering Applications of Artificial Intelligence. 111 (2022) - p. 104791 , 2022

Link: https://doi.org/10.1016/..

9

A tutorial on the segmentation of metallographic images: Ta..:

Luengo, Julián ; Moreno, Raúl ; Sevillano, Iván...
Information Fusion. 78 (2022) - p. 232-253 , 2022

Link: https://doi.org/10.1016/..

10

Anomaly detection in predictive maintenance: A new evaluati..:

Carrasco, Jacinto ; López, David ; Aguilera-Martos, Ignacio...
Neurocomputing. 462 (2021) - p. 440-452 , 2021

Link: https://doi.org/10.1016/..

11

ME-MEOA/DCC: Multiobjective constrained clustering through ..:

González-Almagro, Germán ; Rosales-Pérez, Alejandro ; Luengo, Julián..
Swarm and Evolutionary Computation. 66 (2021) - p. 100939 , 2021

Link: https://doi.org/10.1016/..

12

Multiple instance classification: Bag noise filtering for n..:

Luengo, Julián ; Sánchez-Tarragó, Dánel ; Prati, Ronaldo C..
Information Sciences. 579 (2021) - p. 388-400 , 2021

Link: https://doi.org/10.1016/..

13

Enhancing instance-level constrained clustering through dif..:

González-Almagro, Germán ; Luengo, Julián ; Cano, José-Ramón.
Applied Soft Computing. 108 (2021) - p. 107435 , 2021

Link: https://doi.org/10.1016/..

14

Synthetic Sample Generation for Label Distribution Learning:

González, Manuel ; Luengo, Julián ; Cano, José-Ramón.
Information Sciences. 544 (2021) - p. 197-213 , 2021

Link: https://doi.org/10.1016/..

15

Preprocessing methodology for time series: An industrial wo..:

Cortés-Ibáñez, Juan Antonio ; González, Sergio ; Valle-Alonso, José Javier...
Information Sciences. 514 (2020) - p. 385-401 , 2020

Link: https://doi.org/10.1016/..

1-15

Mehr Literatur finden