Argitalpenak (96) Jose Tomas Palma Mendez argitalpenak

2024

  1. Prognostic Implications of Blood Immune-Cell Composition in Metastatic Castration-Resistant Prostate Cancer

    Cancers, Vol. 16, Núm. 14

  2. Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 7, pp. 9591-9605

  3. Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks

    Swarm and Evolutionary Computation, Vol. 88

  4. Water consumption time series forecasting in urban centers using deep neural networks

    Applied Water Science, Vol. 14, Núm. 2

2023

  1. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  2. Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data

    Information Sciences, Vol. 622, pp. 1064-1091

2022

  1. A predictive model for hospitalization and survival to COVID-19 in a retrospective population-based study

    Scientific Reports, Vol. 12, Núm. 1

  2. Corrigendum to “589P Dynamics of peripheral blood immune profiling associated with tumour progression in metastatic castration resistant prostate cancer (mCRPC)”: [Annals of Oncology 32 suppl. 5 (2021) S637-S638] (Annals of Oncology (2021) 32 suppl. 5(S637-S638) (S0923753421033317), (10.1016/j.annonc.2021.08.1102))

    Annals of Oncology

  3. Multi-objective evolutionary spatio-temporal forecasting of air pollution

    Future Generation Computer Systems, Vol. 136, pp. 15-33

  4. Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks

    IEEE Access, Vol. 10, pp. 60421-60437

  5. Three-objective constrained evolutionary instance selection for classification: Wrapper and filter approaches

    Engineering Applications of Artificial Intelligence, Vol. 107

2021

  1. A time series forecasting based multi-criteria methodology for air quality prediction

    Applied Soft Computing, Vol. 113

2020

  1. Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction

    Artificial Intelligence in Medicine, Vol. 104

2019

  1. A machine learning approach for emotion detection through low-cost hardware

    CEUR Workshop Proceedings

  2. A methodology for evaluating multi-objective evolutionary feature selection for classification in the context of virtual screening

    Soft Computing, Vol. 23, Núm. 18, pp. 8775-8800

  3. Affective computing in ambient intelligence systems

    Future Generation Computer Systems

  4. Multiobjective Evolutionary Feature Selection for Fuzzy Classification

    IEEE Transactions on Fuzzy Systems, Vol. 27, Núm. 5, pp. 1085-1099

2018

  1. Investigación en Inteligencia Artificial en Medicina del grupo AIKE de la Universidad de Murcia

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  2. Towards semi-Automatic human performance evaluation: The case study of a contact center

    Intelligent Data Analysis, Vol. 22, Núm. 4, pp. 867-880

2017

  1. Development of a web tool for action threshold evaluation in table grape pest management

    Precision Agriculture, Vol. 18, Núm. 6, pp. 974-996