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Martínez-Álvarez, F.
18947  Ergebnisse:
Personensuche X
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1

Embedded feature selection for neural networks via learnabl..:

JimÉnez-Navarro, M J ; MartÍnez-Ballesteros, M ; Brito, I S..
Logic Journal of the IGPL.  , 2024
Link: https://doi.org/10.1093/..
 
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2

From simple to complex: a sequential method for enhancing t..:

Jiménez-Navarro, M J ; Martínez-Ballesteros, M ; Martínez-Álvarez, F..
Logic Journal of the IGPL.  , 2024
Link: https://doi.org/10.1093/..
 
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3

Pattern sequence-based algorithm for multivariate big data ..:

Pérez-Chacón, R. ; Asencio-Cortés, G. ; Troncoso, A..
Future Generation Computer Systems.  154 (2024)  - p. 397-412 , 2024
Link: https://doi.org/10.1016/..
 
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4

Explaining deep learning models for ozone pollution predict..:

Jiménez-Navarro, M.J. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F..
Applied Soft Computing.  157 (2024)  - p. 111504 , 2024
Link: https://doi.org/10.1016/..
 
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5

Explainable hybrid deep learning and Coronavirus Optimizati..:

Troncoso-García, A.R. ; Brito, I.S. ; Troncoso, A..
Computers and Electronics in Agriculture.  215 (2023)  - p. 108387 , 2023
Link: https://doi.org/10.1016/..
 
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6

PHILNet: A novel efficient approach for time series forecas..:

Jiménez-Navarro, M.J. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F..
Information Sciences.  632 (2023)  - p. 815-832 , 2023
Link: https://doi.org/10.1016/..
 
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7

Predicting Wildfires in the Caribbean Using Multi-source Sa..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Torres, J. F. ; Valencia, S. ; Martínez-Álvarez, F.. - p. 3-14 , 2023
Link: https://doi.org/10.1007/..
 
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8

Olive Oil Fly Population Pest Forecasting Using Explainable..:

, In: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023); Lecture Notes in Networks and Systems,
Chacón-Maldonado, A. M. ; Troncoso-García, A. R. ; Martínez-Álvarez, F... - p. 121-131 , 2023
Link: https://doi.org/10.1007/..
 
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9

Embedded Temporal Feature Selection for Time Series Forecas..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Jiménez-Navarro, M. J. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F.. - p. 15-26 , 2023
Link: https://doi.org/10.1007/..
 
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10

Deep Learning-Based Approach for Sleep Apnea Detection Usin..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Troncoso-García, A. R. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F.. - p. 626-637 , 2023
Link: https://doi.org/10.1007/..
 
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11

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopi:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
Tefera, E. ; Martínez-Ballesteros, M. ; Troncoso, A.. - p. 207-218 , 2023
Link: https://doi.org/10.1007/..
 
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12

A new approach based on association rules to add explainabi..:

Troncoso-García, A.R. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F..
Information Fusion.  94 (2023)  - p. 169-180 , 2023
Link: https://doi.org/10.1016/..
 
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13

Explaining Learned Patterns in Deep Learning by Association..:

, In: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023); Lecture Notes in Networks and Systems,
Jiménez-Navarro, M. J. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F.. - p. 132-141 , 2023
Link: https://doi.org/10.1007/..
 
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14

DIAFAN-TL: An instance weighting-based transfer learning al..:

Molina-Cabanillas, M.A. ; Jiménez-Navarro, M.J. ; Arjona, R...
Knowledge-Based Systems.  254 (2022)  - p. 109644 , 2022
Link: https://doi.org/10.1016/..
 
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15

Electricity consumption forecasting based on ensemble deep ..:

Hadjout, D. ; Torres, J.F. ; Troncoso, A...
Energy.  243 (2022)  - p. 123060 , 2022
Link: https://doi.org/10.1016/..
 
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