María Del Mar
Martínez Ballesteros
Publikationen (48) Publikationen von María Del Mar Martínez Ballesteros
2024
-
Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo
Enseñanza e innovación educativa en el ámbito universitario (Dykinson), pp. 1156-1167
2023
-
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
Energies, Vol. 16, Núm. 5
-
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
Proceedings of the ACM Symposium on Applied Computing
-
A new approach based on association rules to add explainability to time series forecasting models
Information Fusion, Vol. 94, pp. 169-180
-
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Journal of Big Data, Vol. 10, Núm. 1
-
A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules
Signal Transduction and Targeted Therapy
-
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
Lecture Notes in Networks and Systems
-
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Evolutionary computation to explain deep learning models for time series forecasting
Proceedings of the ACM Symposium on Applied Computing
-
Explaining Learned Patterns in Deep Learning by Association Rules Mining
Lecture Notes in Networks and Systems
-
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
Lecture Notes in Networks and Systems
-
PHILNet: A novel efficient approach for time series forecasting using deep learning
Information Sciences, Vol. 632, pp. 815-832
2022
-
A novel approach to discover numerical association based on the coronavirus optimization algorithm
Proceedings of the ACM Symposium on Applied Computing
-
Explainable machine learning for sleep apnea prediction
Procedia Computer Science
2020
-
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Artificial Intelligence in Medicine, Vol. 110
2019
-
Analysis of the evolution of the Spanish labour market through unsupervised learning
IEEE Access, Vol. 7, pp. 121695-121708
-
External clustering validity index based on chi-squared statistical test
Information Sciences, Vol. 487, pp. 1-17