Maria Martinez Ballesteros

Universidad de Sevilla

Spain

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Articles (23)

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Collaborators (9)

José Francisco Torres Maldonado

Profesor Ayudante Doctor

Universidad Pablo de Olavide

SPAIN

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Gualberto Asencio Cortes

Profesor Titular de Universidad

Universidad Pablo de Olavide

SPAIN

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Naeem Ullah

University of Naples Federico II

ITALY

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Maria Teresa Godinho

Professora Adjunta

Instituto Politécnico de Beja Escola Superior Agrária

PORTUGAL

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Isabel Sofia Brito

Profesor

Polytechnic Institute of Beja

PORTUGAL

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Manuel Jesús Jiménez Navarro

Profesor Sustituto Interino

Universidad de Sevilla

SPAIN

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David Gutiérrez-Avilés

Assistant Profesor, Researcher

Universidad de Sevilla

SPAIN

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RUBEN PEREZ CHACON

Profesor Asociado

Universidad Pablo de Olavide

SPAIN

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Adrián Gil Gamboa

Profesor Sustituto Interino

Universidad Pablo de Olavide

SPAIN

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Maria Martinez Ballesteros

Research Interests

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Articles (23)

Energy-efficient transfer learning for water consumption forecasting

A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods

A Survey of Quantum Machine Learning: Foundations, Algorithms, Frameworks, Data and Applications

MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning

A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia

A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

Explaining deep learning models for ozone pollution prediction via embedded feature selection

Emerging trends in big data analytics and natural disasters

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

PHILNet: A novel efficient approach for time series forecasting using deep learning

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

Evolutionary computation to explain deep learning models for time series forecasting

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market

A new Apache Spark-based framework for big data streaming forecasting in IoT networks

A new approach based on association rules to add explainability to time series forecasting models

A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting

Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

A deep LSTM network for the Spanish electricity consumption forecasting

Special Issue: SOCO–CISIS 2019-IGPL

Collaborators (9)

José Francisco Torres Maldonado

Gualberto Asencio Cortes

Naeem Ullah

Maria Teresa Godinho

Isabel Sofia Brito

Manuel Jesús Jiménez Navarro

David Gutiérrez-Avilés

RUBEN PEREZ CHACON

Adrián Gil Gamboa

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