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DS&BD - Prisma - Unidad de Bibliometría

DATA SCIENCE & BIG DATA LAB - TIC-254 (DS&BD)

Tipo de colectivo: Grupo de investigación
Estado: Grupo definitivo
Ámbito: Andalucía
Instituciones: Universidad Pablo de Olavide
Fecha de creación: 30/11/2018

Investiga en

Palabras clave
Líneas de investigación
Resumen
Nombre Rol
Gutierrez Aviles, David Miembro
Martínez Ballesteros, María del Mar Miembro
Mateos García, Daniel Miembro
Riquelme Santos, José Cristóbal Miembro
Rubio Escudero, Cristina Miembro
Tipo Año Título Fuente
Artículo2025 Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization Communications on Applied Nonlinear Analysis
Artículo2024 A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models Logic Journal of the IGPL
Ponencia2024 A Path Relinking-Based Approach for the Bi-Objective Double Floor Corridor Allocation Problem ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Ponencia2024 A Surrogate Assisted Approach for Fitness Computation in Robust Optimization over Time ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Artículo2024 Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models HELIYON
Editorial2024 Advances in time series forecasting: innovative methods and applications AIMS Mathematics
Ponencia2024 Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Artículo2024 Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Artículo2024 An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market HELIYON
Ponencia2024 An evolutionary triclustering approach to discover electricity consumption patterns in France Proceedings of the ACM Symposium on Applied Computing
Ponencia2024 An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines Lecture Notes in Computer Science
Ponencia2024 Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Artículo2024 Embedded feature selection for neural networks via learnable drop layer Logic Journal of the IGPL
Editorial2024 Emerging trends in big data analytics and natural disasters COMPUTERS & GEOSCIENCES
Ponencia2024 Evolutionary Feature Selection for Time-Series Forecasting Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
Artículo2024 Explainable deep learning on multi-target time series forecasting: an air pollution use case Results in Engineering
Ponencia2024 Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting 2024 International Conference on Smart Systems and Technologies (SST)
Artículo2024 Explaining deep learning models for ozone pollution prediction via embedded feature selection APPLIED SOFT COMPUTING
Ponencia2024 Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master's Degree ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Artículo2024 From simple to complex: a sequential method for enhancing time series forecasting with deep learning Logic Journal of the IGPL
Ponencia2024 FuSDG: A Proposal for a Fuzzy Assessment of Sustainable Development Goals Achievement ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Ponencia2024 HEX-GNN: Hierarchical EXpanders for Node Classification ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2024
Capítulo2024 Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting ADVANCES IN ARTIFICIAL INTELLIGENCE
Editorial2024 Preface Lecture Notes in Computer Science
Artículo2024 Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance forecasting INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Artículo2024 Técnicas Big Data para la predicción de la demanda y precio eléctrico Economía Industrial
Capítulo2024 Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection Lecture Notes in Networks and Systems
Capítulo2024 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
Capítulo2024 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
Artículo2023 A Bayesian optimization-based LSTM model for wind power forecasting in the Adama district, Ethiopia ENERGIES
Ponencia2023 A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
Ponencia2023 A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma Lecture Notes in Computer Science
Artículo2023 A new Apache Spark-based framework for big data streaming forecasting in IoT networks JOURNAL OF SUPERCOMPUTING
Artículo2023 A new approach based on association rules to add explainability to time series forecasting models INFORMATION FUSION
Artículo2023 A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting Journal of Big Data
Ponencia2023 A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia Lecture Notes in Computer Science
Letter2023 A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules. Signal Transduction and Targeted Therapy
Artículo2023 A novel distributed forecasting method based on information fusion and incremental learning for streaming time series INFORMATION FUSION
Ponencia2023 Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation Lecture Notes in Networks and Systems
Artículo2023 Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients Clinical and Translational Radiation Oncology
Artículo2023 Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study Applied Intelligence
Artículo2023 Data streams classification using deep learning under different speeds and drifts Logic Journal of the IGPL
Capítulo2023 Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals Advances in Computational Intelligence
Artículo2023 Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons FRONTIERS IN SURGERY
Ponencia2023 Efficient Short-Term Time Series Forecasting with Regression Trees Lecture Notes in Networks and Systems
Capítulo2023 Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning Advances in Computational Intelligence
Ponencia2023 Evolutionary computation to explain deep learning models for time series forecasting Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
Ponencia2023 Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python Lecture Notes in Networks and Systems
Ponencia2023 Explaining Learned Patterns in Deep Learning by Association Rules Mining Lecture Notes in Networks and Systems
Ponencia2023 Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting Lecture Notes in Networks and Systems
Ponencia2023 Feature-Aware Drop Layer (FADL): a nonparametric neural network layer for feature selection Lecture Notes in Networks and Systems
Ponencia2023 Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia Lecture Notes in Networks and Systems
Artículo2023 Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level APPLIED ENERGY
Artículo2023 Identifying novelties and anomalies for incremental learning in streaming time series forecasting ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Artículo2023 PDSS: a pharmacological decision support system for diabetics patients with COVID-19 Studies in Health Technology and Informatics
Artículo2023 PHILNet: A novel efficient approach for time series forecasting using deep learning INFORMATION SCIENCES
Artículo2023 Short-term solar irradiance forecasting in streaming with deep learning NEUROCOMPUTING
Ponencia2023 Simultaneous Evolutionary Optimization of Features Subset and Clusters Number Proceedings of the Companion Conference on Genetic and Evolutionary Computation
Artículo2022 A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture NEUROCOMPUTING
Ponencia2022 A novel approach to discover numerical association based on the coronavirus optimization algorithm Proceedings of the ACM Symposium on Applied Computing
Ponencia2022 An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Ponencia2022 Concept drift detection to improve time series forecasting of wind energy generation Lecture Notes in Computer Science
Artículo2022 Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Ponencia2022 Explainable machine learning for sleep apnea prediction Procedia Computer Science
Ponencia2022 Feature selection on spatio-temporal data for solar irradiance forecasting 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Artículo2022 Generation of synthetic data with conditional generative adversarial networks Logic Journal of the IGPL
Resumen congreso2022 Introducing joint modeling techniques for personalized predictions in celiac disease GASTROENTEROLOGY
Artículo2022 MOMIC: A multi-omics pipeline for data analysis, integration and interpretation APPLIED SCIENCES-BASEL
Ponencia2022 Nearest neighbors with incremental learning for real-time forecasting of electricity demand IEEE International Conference on Data Mining Workshops, ICDMW
Artículo2022 Object detection using depth completion and camera-LiDAR fusion for autonomous driving INTEGRATED COMPUTER-AIDED ENGINEERING
Artículo2022 Sa1267: INTRODUCING JOINT MODELING TECHNIQUES FOR PERSONALIZED PREDICTIONS IN CELIAC DISEASE GASTROENTEROLOGY
Ponencia2022 Study case of household electricity consumption patterns in London by clustering methodology 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Ponencia2022 Temporal axial attention for LiDAR-based 3D object detection in autonomous driving IEEE International Conference on Image Processing ICIP
Artículo2021 A data mining based clinical decision support system for survival in lung cancer REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY
Artículo2021 A preliminary study on deep transfer learning applied to image classification for small datasets Advances in Intelligent Systems and Computing
Ponencia2021 A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
Artículo2021 An experimental review on deep learning architectures for time series forecasting International Journal of Neural Systems
Artículo2021 Discovering spatio-temporal patterns in precision agriculture based on triclustering Advances in Intelligent Systems and Computing
Ponencia2021 Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
Artículo2021 Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach INFORMATION SCIENCES
Artículo2021 Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance NEUROCOMPUTING
Artículo2021 Generating a seismogenic source zone model for the Pyrenees: a GIS-assisted triclustering approach COMPUTERS & GEOSCIENCES
Ponencia2021 Nearest neighbors-based forecasting for electricity demand time series in streaming Advances in Artificial Intelligence: 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22–24, 2021, Proceedings
Artículo2021 OCEAn: ordinal classification with an ensemble approach INFORMATION SCIENCES
Ponencia2021 On the performance of deep learning models for time series classification in streaming Advances in Intelligent Systems and Computing
Editorial2021 Preface Advances in Artificial Intelligence: 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22–24, 2021, Proceedings
Artículo2021 Rationale for timing of follow-up visits to assess gluten-free diet in celiac disease patients based on data mining NUTRIENTS
Artículo2021 Statistically representative metrology of nanoparticles via unsupervised machine learning of tem images NANOMATERIALS
Artículo2021 Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the Spanish electricity market APPLIED SCIENCES-BASEL
Artículo2020 Asynchronous dual-pipeline deep learning framework for online data stream classification INTEGRATED COMPUTER-AIDED ENGINEERING
Artículo2020 Autoencoded DNA methylation data to predict breast cancer recurrence: machine learning models and gene-weight significance Artificial Intelligence in Medicine
Artículo2020 Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration BIG DATA RESEARCH
Artículo2020 Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model BIG DATA
Ponencia2020 Creation of synthetic data with conditional generative adversarial networks 14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Artículo2020 Deep learning techniques to improve the performance of olive oil classification FRONTIERS IN CHEMISTRY
Artículo2020 Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning PATTERN ANALYSIS AND APPLICATIONS
Ponencia2020 High-content screening images streaming analysis using the STriGen methodology Proceedings of the ACM Symposium on Applied Computing
Ponencia2020 Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills Advances in Intelligent Systems and Computing
Ponencia2020 Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering 14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Ponencia2020 Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks 14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Artículo2020 Temporal convolutional networks applied to energy-related time series forecasting APPLIED SCIENCES-BASEL
Artículo2020 Using prior knowledge in the inference of gene association networks Applied Intelligence
Artículo2019 A framework for evaluating land use and land cover classification using convolutional neural networks REMOTE SENSING
Artículo2019 A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System IEEE ACCESS
Artículo2019 Analysis of the evolution of the Spanish labour market through unsupervised learning IEEE ACCESS
Ponencia2019 Convolutional neural networks for olive oil classification FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II
Capítulo2019 Convolutional neural networks for olive oil classification FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II
Artículo2019 External clustering validity index based on chi-squared statistical test INFORMATION SCIENCES
Ponencia2019 Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses INTERNATIONAL JOINT CONFERENCE SOCO'18-CISIS'18- ICEUTE'18
Ponencia2019 Random hyper-parameter search-based deep neural network for power consumption forecasting ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I
Artículo2019 Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems NEUROCOMPUTING
Artículo2018 ¿CÓMO TRANSFORMAR LA INFORMACIÓN DEL CONTADOR ELÉCTRICO INTELIGENTE EN AHORRO PARA EL CONSUMIDOR? DYNA ENERGIA Y SOSTENIBILIDAD
Artículo2018 A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information ENVIRONMENTAL MODELLING & SOFTWARE
Artículo2018 A novel tree-based algorithm to discover seismic patterns in earthquake catalogs COMPUTERS & GEOSCIENCES
Artículo2018 An approach to validity indices for clustering techniques in Big Data PROGRESS IN ARTIFICIAL INTELLIGENCE
Capítulo2018 Análisis Big Data para la respuesta a la demanda en el mercado eléctrico XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España
Capítulo2018 Aproximación al índice externo de validación de clustering basado en chi cuadrado XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España
Artículo2018 Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities ENERGIES
Capítulo2018 Competición vídeo: ¿cómo puedo saber si el resultado de un clustering es lo suficientemente bueno? XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España
Artículo2018 Contadores inteligentes: ahorros potenciales para el consumidor DYNA
Editorial2018 Data Science and Big Data in Energy Forecasting ENERGIES
Capítulo2018 Detección de cáncer de piel usando técnicas de aprendizaje profundo XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España
Artículo2018 MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems KNOWLEDGE-BASED SYSTEMS
Artículo2018 On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule NEUROCOMPUTING
Póster2018 PO-0859: Project S32: decision support system for lung cancer patients RADIOTHERAPY AND ONCOLOGY
Resumen congreso2018 Project S32: decision support system for lung cancer patients RADIOTHERAPY AND ONCOLOGY
Editorial2018 Smart meters: potential savings for consumers DYNA
Ponencia2018 SmartFD: A Real Big Data Application for Electrical Fraud Detection HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018)
Artículo2018 TRIQ: a new method to evaluate triclusters BIODATA MINING
Artículo2017 A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation JOURNAL OF BIOMEDICAL INFORMATICS
Artículo2017 Analysis of the Influence of Starting Materials and Processing Conditions on the Properties of W/Cu Alloys MATERIALS
Artículo2017 Analysis of the Microstructure and Mechanical Properties of Titanium-Based Composites Reinforced by Secondary Phases and B4C Particles Produced via Direct Hot Pressing MATERIALS
Capítulo2017 Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems ADVANCES IN ELECTRIC POWER AND ENERGY SYSTEMS: Load and Price Forecasting
Editorial2017 Applications of Computational Intelligence in Time Series COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Artículo2017 Data mining techniques applied to hydrogen lactose breath test PLOS ONE
Ponencia2017 Low dimensionality or same subsets as a result of feature selection: An in-depth roadmap Lecture Notes in Computer Science
Artículo2017 Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources INFORMATION FUSION
Ponencia2017 Predicción de módulos defectuosos como un problema de optimización multiobjetivo Actas de las 22nd Jornadas de Ingeniería del Software y Bases de Datos, JISBD 2017
Editorial2017 Recent Advances in Energy Time Series Forecasting ENERGIES
Editorial2017 Volume, variety and velocity in Data Science KNOWLEDGE-BASED SYSTEMS
Ponencia2016 A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting HYBRID ARTIFICIAL INTELLIGENT SYSTEMS
Ponencia2016 A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation HYBRID ARTIFICIAL INTELLIGENT SYSTEMS
Ponencia2016 Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection HYBRID ARTIFICIAL INTELLIGENT SYSTEMS
Ponencia2016 An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016
Artículo2016 An evolutionary voting for k-nearest neighbours EXPERT SYSTEMS WITH APPLICATIONS
Ponencia2016 Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules HYBRID ARTIFICIAL INTELLIGENT SYSTEMS
Artículo2016 Improving a multi-objective evolutionary algorithm to discover quantitative association rules KNOWLEDGE AND INFORMATION SYSTEMS
Artículo2016 Influence of Sintering Temperature on the Microstructure and Mechanical Properties of In Situ Reinforced Titanium Composites by Inductive Hot Pressing MATERIALS
Artículo2016 Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks CONNECTION SCIENCE
Artículo2016 Obtaining optimal quality measures for quantitative association rules NEUROCOMPUTING
Ponencia2016 TRIQ: A comprehensive evaluation measure for triclustering algorithms Lecture Notes in Computer Science
Artículo2015 A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables NEUROCOMPUTING
Artículo2015 A multi-scale smoothing kernel for measuring time-series similarity NEUROCOMPUTING
Artículo2015 A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula ENTROPY
Artículo2015 A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting ENERGIES
Artículo2015 An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion NEUROCOMPUTING
Ponencia2015 Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach BIOINSPIRED COMPUTATION IN ARTIFICIAL SYSTEMS, PT II
Artículo2015 Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets INTEGRATED COMPUTER-AIDED ENGINEERING
Artículo2015 Local models-based regression trees for very short-term wind speed prediction RENEWABLE ENERGY
Ponencia2015 MOPNAR-BigData: un diseño MapReduce para la extracción de reglas de asociación cuantitativas en problemas de big data XVI Conferencia Congreso de la Asociación Española de Inteligencia Artificial (CAEPIA) (2015), pp. 979-989.
Artículo2015 MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data EVOLUTIONARY BIOINFORMATICS
Ponencia2014 A comparative study of machine learning regression methods on LiDAR data: A case study Advances in Intelligent Systems and Computing
Capítulo2014 Aplicación multiplataforma para ofrecer materiales didácticos audiovisuales con protección frente a copia y accesos no autorizados I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide.
Artículo2014 Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning COMPUTATIONAL INTELLIGENCE IN DIGITAL FORENSICS: FORENSIC INVESTIGATION AND APPLICATIONS
Ponencia2014 Deleting or Keeping Outliers for Classifier Training? 2014 SIXTH WORLD CONGRESS ON NATURE AND BIOLOGICALLY INSPIRED COMPUTING (NABIC)
Artículo2014 Discovering gene association networks by multi-objective evolutionary quantitative association rules JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Artículo2014 Discovering quantitative association rules: A novel approach based on evolutionary algorithms AI COMMUNICATIONS
Artículo2014 Evolutionary feature selection to estimate forest stand variables using LiDAR International Journal of Applied Earth Observation and Geoinformation
Ponencia2014 Improving the k-nearest neighbour rule by an evolutionary voting approach HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, HAIS 2014
Ponencia2014 LSL: A new measure to evaluate triclusters Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Artículo2014 Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure SCIENTIFIC WORLD JOURNAL
Artículo2014 PO-0723: Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy RADIOTHERAPY AND ONCOLOGY
Ponencia2014 Preliminary comparison of techniques for dealing with imbalance in software defect prediction ACM International Conference Proceeding Series
Artículo2014 Selecting the best measures to discover quantitative association rules NEUROCOMPUTING
Ponencia2014 Tackling ant colony optimization meta-heuristic as search method in feature subset selection based on correlation or consistency measures INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2014
Artículo2014 TriGen: A genetic algorithm to mine triclusters in temporal gene expression data NEUROCOMPUTING
Ponencia2013 A Kernel for Time Series Classification: Application to Atmospheric Pollutants SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS
Ponencia2013 A sensitivity analysis for quality measures of quantitative association rules HYBRID ARTIFICIAL INTELLIGENT SYSTEMS
Artículo2013 A study of subgroup discovery approaches for defect prediction INFORMATION AND SOFTWARE TECHNOLOGY
Artículo2013 Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula KNOWLEDGE-BASED SYSTEMS
Artículo2013 Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems NEUROCOMPUTING
Ponencia2012 A non-parametric approach for accurate contextual classification of LIDAR and imagery data fusion HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II
Artículo2012 Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection APPLIED SOFT COMPUTING
Artículo2012 EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion NEUROCOMPUTING
Artículo2012 Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches EXPERT SYSTEMS WITH APPLICATIONS
Artículo2012 Fusion of knowledge towards the identification of genetic profiles AI COMMUNICATIONS
Artículo2012 On the evolutionary optimization of k-NN by label-dependent feature weighting Pattern Recognition Letters
Artículo2012 Searching for rules to detect defective modules: A subgroup discovery approach INFORMATION SCIENCES
Ponencia2011 A comparative study between two regression methods on LiDAR data: A case study Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
Artículo2011 An evolutionary algorithm to discover quantitative association rules in multidimensional time series SOFT COMPUTING
Ponencia2011 Analysis of Measures of Quantitative Association Rules Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
Artículo2011 Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques EXPERT SYSTEMS WITH APPLICATIONS
Ponencia2011 Computational Intelligence Techniques for Predicting Earthquakes Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
Artículo2011 Discovery of motifs to forecast outlier occurrence in time series Pattern Recognition Letters
Artículo2011 Energy Time Series Forecasting Based on Pattern Sequence Similarity IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Artículo2011 Evolutionary association rules for total ozone content modeling from satellite observations CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Artículo2011 Extensiones para el Ciclo de Mejora Continua en la enseñanza e investigación de Ingeniería Informática Revista de Enseñanza Universitaria
Ponencia2011 Improving the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification by means of feature selection NEW CHALLENGES ON BIOINSPIRED APPLICATIONS
Ponencia2011 Inferring gene-gene associations from quantitative association rules International Conference on Intelligent Systems Design and Applications
Ponencia2011 Mining Quantitative Association Rules In Microarray Data Using Evolutive Algorithms ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1
Ponencia2011 Multiobjective Simulation Optimisation in Software Project Management GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
Ponencia2011 On the use of algorithms to discover motifs in DNA sequences International Conference on Intelligent Systems Design and Applications
Ponencia2011 Revisiting the yeast cell cycle problem with the improved TriGen algorithm Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011
Ponencia2011 Subgroup Discovery for Defect Prediction SEARCH BASED SOFTWARE ENGINEERING
Ponencia2011 Triclustering on temporary microarray data using the TriGen algorithm International Conference on Intelligent Systems Design and Applications
Ponencia2011 Unravelling the yeast cell cycle using the TriGen algorithm ADVANCES IN ARTIFICIAL INTELLIGENCE
Capítulo2011 Unravelling the Yeast Cell CycleUsing the TriGen Algorithm ADVANCES IN ARTIFICIAL INTELLIGENCE
Ponencia2010 A SVM and k-NN restricted stacking to improve land use and land cover classification HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 2
Ponencia2010 Cis-cop: Multiobjective identification of cis-regulatory modules based on constrains XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]
Ponencia2010 EVFUZZYSYSTEM: evolución de sistemas difusos para problemas de regresión multi-dimensionales XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]
Ponencia2010 Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection ARTIFICIAL NEURAL NETWORKS-ICANN 2010, PT I
Artículo2010 Inferring gene regression networks with model trees BMC BIOINFORMATICS
Ponencia2010 Knowledge Representation and Applied Decision Making (KREAM) Procedia Computer Science
Ponencia2010 Label dependent evolutionary feature weighting for remote sensing data HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 2
Artículo2010 Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution INTEGRATED COMPUTER-AIDED ENGINEERING
Artículo2010 Optimization of multi-classifiers for computational biology: application to gene finding and expression THEORETICAL CHEMISTRY ACCOUNTS
Artículo2010 Pattern recognition to forecast seismic time series EXPERT SYSTEMS WITH APPLICATIONS
Ponencia2010 Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT I, PROCEEDINGS
Ponencia2009 Descubriendo Reglas de Asociación Numéricas entre Series Temporales MINCODA 2009 : 1st International Workshop on Mining of Non-Conventional Data (Taller dentro de las Jornadas CAEPIA–TTIA 2009) (2009), pp. 16-24.
Artículo2009 Finding Defective Software Modules by Means of Data Mining Techniques IEEE LATIN AMERICA TRANSACTIONS
Ponencia2009 Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences ADVANCES IN INTELLIGENT DATA ANALYSIS VIII, PROCEEDINGS
Ponencia2009 Quantitative Association Rules Applied to Climatological Time Series Forecasting INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGS
Ponencia2009 Searching for Rules to find Defective Modules in Unbalanced Data Sets 1ST INTERNATIONAL SYMPOSIUM ON SEARCH BASED SOFTWARE ENGINEERING, PROCEEDINGS
Artículo2008 A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Ponencia2008 Classification of gene expression profiles: comparison of K-means and expectation maximization algorithms Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
Artículo2008 Efficient incremental-ranked feature selection in massive data COMPUTATIONAL METHODS OF FEATURE SELECTION
Artículo2008 Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Ponencia2008 Finding defective modules from highly unbalanced datasets ADIS 2008 - Apoyo a la Decision en Ingenieria del Software, Evento Realizado en el Marco de las 13th Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2008
Ponencia2008 LBF: A Labeled-Based Forecasting Algorithm and its Application to Electricity Price Time Series ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS
Artículo2008 Learning robust dynamic networks in prokaryotes by gene expression networks iterative explorer (GENIE) Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Libro2007 Actas del IV Taller de Minería de Datos y Aprendizaje Actas del IV Taller de Minería de Datos y Aprendizaje
Ponencia2007 Aplicación de técnicas de clustering a la serie temporal de los precios de la energía en el mercado eléctrico Actas del IV Taller de Minería de Datos y Aprendizaje
Artículo2007 Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes Environmental Geology (Berlin)
Ponencia2007 Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS
Artículo2007 Discovering patterns in electricity price using clustering techniques Renewable Energy & Power Quality Journal
Artículo2007 Electricity market price forecasting based on weighted nearest neighbors techniques IEEE TRANSACTIONS ON POWER SYSTEMS
Capítulo2007 Estimación y toma de decisiones mediante algoritmos evolutivos Técnicas cuantitativas para la gestión en la ingeniería del software
Capítulo2007 Estimación y toma de decisiones mediante algoritmos evolutivos Técnicas cuantitativas para la gestión en la ingeniería del software
Capítulo2007 Estimación y toma de decisiones mediante técnicas tradicionales y lógica borrosa Técnicas cuantitativas para la gestión en la ingeniería del software
Capítulo2007 Estimación y toma de decisiones mediante técnicas tradicionales y lógica borrosa Técnicas cuantitativas para la gestión en la ingeniería del software
Libro2007 Fusion of knowledge towards the identification of genetic profiles in the systemic inflammation problem Fusion of knowledge towards the identification of genetic profiles in the systemic inflammation problem
Ponencia2007 Identifying the promoter features governing differential kinetics of co-regulated genes using fuzzy expressions IEEE International Conference on Fuzzy Systems
Ponencia2007 Mejor subconjunto aglomerativo ordenado para selección de atributos Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
Capítulo2007 Microarray data mining approach to the study of Solanum wild species under water stress: integration of gene expression data and GO condepts I Workshop Español sobre Extracción y Validación de Conocimiento en Bases de Datos Biomédicas: EVaBio 2007 : celebrado en Salamanca, del 12 al 16 de noviembre de 2007, dentro de la XII Conferencia de la Asociación Española para la Inteligencia Artificial
Ponencia2007 Modeling genetic networks: Comparison of static and dynamic models Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07
Artículo2007 Natural encoding for evolutionary supervised learning IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Ponencia2007 Partitioning-clustering techniques applied to the electricity price time series INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007
Ponencia2007 satDNA analyzer 1.2 as a valuable computing tool for evolutionary analysis of satellite-DNA families: Revisiting Y-linked satellite-DNA sequences of Rumex (Polygonaceae) Lecture Notes in Computer Science
Ponencia2007 Selección de atributos: una revisión Actas del IV Taller de Minería de Datos y Aprendizaje
Ponencia2007 Targeting differentially co-regulated genes by multiobjective and multimodal optimization Lecture Notes in Computer Science
Editorial2007 XI Conference of Engineering Software and Databases, JISBD'2006 IEEE LATIN AMERICA TRANSACTIONS
Artículo2006 A comparison of effort estimation methods for 4GL programs: Experiences with statistics and data mining INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Capítulo2006 A two-stage zone regression method for global characterization of a project database Advances in Machine Learning Applications in Software Engineering
Artículo2006 Data mining: Concepts and trends Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial
Ponencia2006 Data streams classification by incremental rule learning with parameterized generalization Proceedings of the ACM Symposium on Applied Computing
Ponencia2006 Decision making association rules for recognition of differential gene expression profiles Lecture Notes in Computer Science
Ponencia2006 Fusion of domain knowledge for dynamic learning in transcriptional networks Lecture Notes in Computer Science
Artículo2006 Incremental wrapper-based gene selection from microarray data for cancer classification PATTERN RECOGNITION
Artículo2006 MINERÍA DE DATOS: CONCEPTOS Y TENDENCIAS Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial
Ponencia2006 Mining structural databases: An Evolutionary Multi-Objetive Conceptual Clustering methodology Lecture Notes in Computer Science
Ponencia2006 Optimal selection of microarray analysis methods using a conceptual clustering algorithm Lecture Notes in Computer Science
Artículo2006 Presentación : Minería de Datos Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial
Artículo2006 Presentation: Data mining Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial
Libro2005 Actas del III Taller de Minería de Datos y Aprendizaje Actas del III Taller de Minería de Datos y Aprendizaje
Artículo2005 Analysis of feature rankings for classification ADVANCES IN INTELLIGENT DATA ANALYSIS VI, PROCEEDINGS
Capítulo2005 Aprendizaje Incremental de Reglas en Data Streams Actas del III Taller de Minería de Datos y Aprendizaje
Capítulo2005 Búsqueda secuencial de subconjuntos de atributos sobre un ranking Actas del III Taller de Minería de Datos y Aprendizaje
Artículo2005 Connecting segments for visual data exploration and interactive mining of decision rules JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Capítulo2005 Heuristic Search over a Ranking for Feature Selection Computational intelligence and bioinspired systems. 8th International Work-Conference on Artificial Neural Networks IWANN 2005: Vilanova i la Geltrú, Barcelona, Spain. June 8-10, 2005. Proceedings
Artículo2005 Heuristic search over a ranking for feature selection COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS
Artículo2005 Incremental rule learning and border examples selection from numerical data streams JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Ponencia2005 Incremental rule learning based on example nearness from numerical data streams Proceedings of the ACM Symposium on Applied Computing
Artículo2005 Knowledge-based fast evaluation for evolutionary learning IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
Ponencia2005 Learning decision rules by means of hybrid-encoded evolutionary algorithms INFORMATION PROCESSING WITH EVOLUTIONARY ALGORITHMS
Ponencia2004 Application of a KDD metodolocy to a real industrial process Soft Computing with Industrial Applications - Proceedings of the Sixth Biannual World Automation Congress
Ponencia2004 Application of a KDD metodology to a real industrial process SOFT COMPUTING WITH INDUSTRIAL APPLICATIONS, VOL 17
Ponencia2004 Application of evolutionary computation techniques to the optimal short-term scheduling of the electrical energy production CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE
Ponencia2004 Applying data mining to software development projects: A case study ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
Capítulo2004 Aprendizaje evolutivo de reglas: mejoras en la codificación y evaluación de individuos Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E)
Artículo2004 Clustering Main Concepts from e-Mails Lecture Notes in Computer Science
Artículo2004 Data mining approaches to diffuse large B-cell lymphoma gene expression data interpretation DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS
Artículo2004 Data mining for the management of software development process INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Ponencia2004 Databases reduction ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
Ponencia2004 Discovering decision rules from numerical data streams Proceedings of the ACM Symposium on Applied Computing
Artículo2004 Estimación de variables en proyectos de desarrollo de software (PDS) Revista de procesos y métricas de las tecnologías de la información
Capítulo2004 Evaluación de rankings de atributos para clasificación Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E)
Ponencia2004 Evolutionary segmentation of yeast genome Proceedings of the ACM Symposium on Applied Computing
Artículo2004 MODELAD DINÁMICO Y APRENDIZAJE AUTOMÁTICO APLICADO A LA GESTIÓN DE PROYECTOS SOFTWARE Revista de procesos y métricas de las tecnologías de la información
Artículo2004 Modelado dinámico y aprendizaje automático aplicado a la gestión de proyectos software Revista de procesos y métricas de las tecnologías de la información
Artículo2004 Multidimensional data visual exploration by interactive information segments DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS
Artículo2004 Statistical test-based evolutionary segmentation of yeast genome GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2004, PT 1, PROCEEDINGS
Libro2004 Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E)
Artículo2004 Time-series prediction: Application to the short-term electric energy demand CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE
Artículo2004 Wrapper for ranking feature selection INTELLIGENT DAA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS
Ponencia2003 A data mining method to support decision making in software development projects ICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems
Ponencia2003 An efficient data structure for decision rules discovery Proceedings of the ACM Symposium on Applied Computing
Artículo2003 Empirical evaluation of the difficulty of finding a good value of k for the nearest neighbor COMPUTATIONAL SCIENCE - ICCS 2003, PT II, PROCEEDINGS
Artículo2003 Evolutionary learning of hierarchical decision rules IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics
Artículo2003 Fast feature ranking algorithm KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS
Artículo2003 Fast feature selection by means of projections DEVELOPMENTS IN APPLIED ARTIFICIAL INTELLIGENCE
Artículo2003 Finding representative patterns with ordered projections PATTERN RECOGNITION
Artículo2003 Influence of kNN-based load forecasting errors on optimal energy production PROGRESS IN ARTIFICIAL INTELLIGENCE-B
Ponencia2003 Minería de textos y datos aplicadas a la obtención de ontologías a partir de mensajes de correo electrónico VIII Jornadas de Ingeniería del Software y Bases de Datos: actas : (JISBD'03), Alicante, del 12 al 14 de noviembre de 2003
Artículo2003 Mining low dimensionality data streams of continuous attributes PROGRESS IN ARTIFICIAL INTELLIGENCE-B
Artículo2003 Natural coding: A more efficient representation for evolutionary learning GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS
Artículo2003 NLC: A measure based on projections DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
Ponencia2003 Prototype-based mining of numeric data streams Proceedings of the ACM Symposium on Applied Computing
Ponencia2003 Sección de bases de datos. reducción de bases de datos VIII Jornadas de Ingeniería del Software y Bases de Datos: actas : (JISBD'03), Alicante, del 12 al 14 de noviembre de 2003
Artículo2003 Supervised learning by means of accuracy-aware evolutionary algorithms INFORMATION SCIENCES
Ponencia2003 Visualization techniques of management rules for software development projects THIRD INTERNATIONAL CONFERENCE ON QUALITY SOFTWARE, PROCEEDINGS
Capítulo2002 Algoritmo de aprendizaje de reglas de decisión a partir de flujos de datos transaccionales VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002)
Ponencia2002 An evolutionary algorithm to discover numeric association rules Proceedings of the ACM Symposium on Applied Computing
Ponencia2002 Discovering numeric association rules via evolutionary algorithm Lecture Notes in Computer Science
Ponencia2002 Electricity market price forecasting: neural networks versus weighted-distance k nearest neighbours Lecture Notes in Computer Science
Artículo2002 Generation of management rules through system dynamics and evolutionary computation PRODUCT FOCUSED SOFTWARE PROCESS IMPROVEMENT, PROCEEDINGS
Ponencia2002 Guest-editorial: The 8th ibero-american conference on artificial intelligence (IBERAMIA'02) Journal of Intelligent & Fuzzy Systems
Ponencia2002 Improving the evolutionary coding for machine learning tasks ECAI 2002: 15TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Ponencia2002 Indexación de datos para la evaluación rápida de reglas de decisión VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002)
Editorial2002 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science
Ponencia2002 Mining interesting regions using an evolutionary algorithm Proceedings of the ACM Symposium on Applied Computing
Editorial2002 Preface Lecture Notes in Computer Science
Ponencia2002 Preface Lecture Notes in Computer Science
Artículo2002 Projection-based measure for efficient feature selection Journal of Intelligent & Fuzzy Systems
Artículo2002 SOAP: Efficient feature selection of numeric attributes Advances in Artificial Intelligence - IBERAMIA 2002 : 8th Ibero-American Conference on AI, Seville, Spain, November 12-15, 2002, proceedings
Capítulo2002 Técnicas de visualización de reglas de gestión para proyectos de desarrollo software VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002)
Editorial2002 The 8th Ibero-American Conference on Artificial Intelligence (IBERAMIA'02) Journal of Intelligent & Fuzzy Systems
Capítulo2002 Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: Experiencias con Estadística y Minería de Datos VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002)
Capítulo2002 Visualización de consultas mediante segmentación de dimensiones significativas VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002)
Artículo2001 An evolutionary and local search algorithm for motion planning of two manipulators JOURNAL OF ROBOTIC SYSTEMS
Artículo2001 An evolutionary approach to estimating software development projects INFORMATION AND SOFTWARE TECHNOLOGY
Ponencia2001 Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods ECOSYSTEMS AND SUSTAINABLE DEVELOPMENT III
Artículo2001 Data set editing by ordered projection Intelligent Data Analysis
Artículo2001 Diferencias sociodemográficas y de utilización del servicio entre las primeras consultas programadas y urgentes en un Centro de Salud Mental Psiquis: Revista de Psiquiatría, Psicología y Psicosomática
Ponencia2001 Mining numeric association rules with genetic algorithms ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS
Ponencia2001 Non-parametric Nearest Neighbor with local adaptation Lecture Notes in Computer Science
Ponencia2001 OBLIC: Classification system using evolutionary algorithm Lecture Notes in Computer Science
Ponencia2001 Orientando a aspectos la captura de datos de Internet para activar reglas de decisión en agentes web JISBD'2001 : jornadas de ingeniería del software y bases de datos : 21 y 23 de noviembre de 2001, Almagro (Ciudad Real)
Ponencia2001 SEGESOFT: entorno de entrenamiento para la gestión de proyectos software JISBD'2001 : jornadas de ingeniería del software y bases de datos : 21 y 23 de noviembre de 2001, Almagro (Ciudad Real)
Artículo2001 Separation surfaces through genetic programming Lecture Notes in Computer Science
Ponencia2001 SNN: A supervised clustering algorithm Lecture Notes in Computer Science
Artículo2001 Sociodemographic and service utilization differences between regular and urgent initial conultations in a Community Mental Health Center Psiquis: Revista de Psiquiatría, Psicología y Psicosomática
Ponencia2000 Data set editing by ordered projection ECAI 2000: 14TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Capítulo2000 Mejoras en la toma de decisiones en proyectos de software. Aplicaciones de técnicas de lógica borrosa ACTAS DE LAS V JORNADAS DE INGENIERÍA DEL SOFTWARE Y BASES DE DATOS: JISBD 2000
Capítulo2000 Un nuevo enfoque en la estimación y gestión de proyectos V Jornadas sobre Calidad del Software, 6 y 7 de julio de 2000. San Sebastián, Palacio de Miramar: Documentación de ponencias
Artículo2000 Un nuevo enfoque en la estimación y gestión de proyectos Libro de ponencias
Ponencia2000 Una propuesta para asignaturas de Introducción a la Programación VI Jornadas sobre la Enseñanza Universitaria de la Informática: JENUI 2000 : Libro de Comunicaciones
Artículo1999 A decision queue based on genetic algorithms: Axis-parallel classifier versus rotated hyperboxes Computational Intelligence and Applications
Artículo1999 Automatic generation of collision-free programs for multiple manipulators using evolutive algorithms Computational Intelligence and Applications
Ponencia1999 CGO y COBLI: clasificadores oblícuos basados en algoritmos genéticos La representación y la organización del conocimiento en sus distintas perspectivas : su influencia en la recuperación de la información: actas del IV Congreso ISKO-España EOCONSID'99, 22-24 de abril de 1999, Granada
Ponencia1999 Three geometric approaches for representing decision rules in a supervised learning system GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
Ponencia1998 A tool to obtain a hierarchical qualitative rules from quantitative data Lecture Notes in Computer Science
Ponencia1998 An evolutionary and local search algorithm for planning two manipulators motion Lecture Notes in Computer Science
Artículo1998 Decision queue classifier for supervised learning using rotated hyperboxes PROGRESS IN ARTIFICIAL INTELLIGENCE-IBERAMIA 98
Artículo1998 Overload screening of transmission systems using neural networks Lecture Notes in Computer Science
Ponencia1998 Sistema jerárquico de autoaprenzaje evolutivo con modelado Hiperelíptico Innovaciones en informática electrónica y automática
Ponencia1997 Clasificación mediante programación genética CAEPIA'97: actas
Ponencia1997 COGITO 2.0: una herramienta para obtener un clasificador jerárquico en aprendizaje supervisado CAEPIA'97: actas
Ponencia1997 COGITO: un sistema de autoaprendizaje basado en algoritmos genéticos III Jornadas de Informática. Actas: El Puerto de Santa María (Cádiz), 14 al 18 de julio 1.997 [sic]
Artículo1996 Optimal control and sensitivity analysis of an energy demand model Systems Analysis Modelling Simulation
Ponencia1995 Coordinated motion planning of manipulators by evolution strategies APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING X
Ponencia1995 Metodología para obtener nuevas características en sistemas de aprendizaje VI Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA 95 : actas : Alicante, 15, 16 y 17 de Noviembre de 1995
Ponencia1992 Classifying system behavior modes by statistical search in the parameter space MODELLING AND SIMULATION 1992
Ponencia1992 Sensitivity analysis of an energy demand model COMPUTATIONAL SYSTEMS ANALYSIS 1992

Proyectos de Investigación

Fecha de inicio Fecha de fin Denominación Agencia financiadora Importe concedido
01/07/2023 30/06/2026 Optimización de la Producción de Procesos Manufactureros Complejos Mediante Tecnicas Hibridas de Inteligencia Artificial e Investigación Operativa (Eindustry) (CPP2022-009912) Ministerio de Ciencia, Innovación y Universidades (Nacional) 208.794,25 €
01/12/2022 30/09/2025 Soluciones digitales para mantenimiento predictivo de plantas eólicas (TED2021-131311B-C21) Ministerio de Ciencia e Innovación (Nacional) 156.055,00 €
01/09/2022 31/08/2025 Operación de Redes de Distribución basada en el Análisis de Datos para la Activación de Servicios de Flexibilidad (PID2021-124571OB-I00) Ministerio de Ciencia e Innovación (Nacional) 169.400,00 €
01/09/2021 31/08/2025 Aprendizaje profundo y transferencia de aprendizaje eficientes para salud y movilidad conectada (PID2020-117954RB-C22) Ministerio de Ciencia e Innovación (Nacional) 116.160,00 €
01/02/2020 30/04/2022 BIDASGRI: Tecnologías Big Data para Smart Grids (US-1263341) Junta de Andalucía (Consejería de Economía y Conocimiento) (Autonómico) 90.000,00 €
01/01/2020 31/12/2022 Modelos híbridos adaptativos para predecir la producción de energías renovables solar y eólica (P18-RT-2778) Junta de Andalucía (Consejería de Economía y Conocimiento) (Autonómico) 116.042,00 €
01/01/2018 31/12/2021 Big Data Streaming: Análisis de Datos Masivos Continuos. Modelos Descriptivos (TIN2017-88209-C2-2-R) Ministerio de Economía y Competitividad (Nacional) 116.039,00 €
01/09/2016 31/12/2018 Inteligencia artificial aplicada a la gestión de plagas, (IA2GIP) (RTC-2016-5524-2) Ministerio de Economía, Industria y Competitividad (Nacional) 66.153,54 €
01/04/2016 31/12/2020 Projetos de Escolas Resilientes aos Sismos no Território do Algarve e de Huelva - PERSISTAH (0313_PERSISTAH) Comisión Europea (Europeo) 347.679,98 €
01/01/2015 30/06/2019 Big Time-Aware Data: Análisis de Datos Masivos Indexados en el Tiempo. Reglas y Clustering (TIN2014-55894-C2-1-R) Ministerio de Economía y Competitividad (Nacional) 124.751,00 €
26/03/2013 31/03/2018 Modelos Avanzados para el Análisis Inteligente de Información. Aplicación a Datos Biomédicos y Medioambientales. (P11-TIC-7528) Junta de Andalucía - Consejería de Innovación, Ciencia y Empresas (Autonómico) 31.435,25 €
01/01/2012 30/06/2016 Análisis Inteligente de Información Medioambiental (TIN2011-28956-C02-02) Ministerio de Ciencia e Innovación (Nacional) 47.008,50 €
05/05/2011 30/04/2015 Innovación en la Red de distribución de Nuevo Aislado. RedNA (IPT-2011-1751-920000) Ministerio de Ciencia e Innovación (Nacional) 372.540,00 €
01/10/2007 31/03/2012 Heurísticas escalables para la extracción de conocimiento en grandes volúmenes de información (TIN2007-68084-C02-02) Ministerio de Educación y Ciencia (Nacional) 99.220,00 €
13/04/2007 12/04/2010 Desarrollo de nuevos sistemas y dispositivos para la mejora de la calidad del suministro eléctrico (P06-TEP-01882) Junta de Andalucía (Plan Andaluz de Investigación) (Autonómico) 216.336,30 €
13/12/2004 13/12/2007 Técnicas emergentes de minería de datos para la extracción de conocimiento de grandes volúmenes de información: aplicación a datos científicos e industriales (TIN2004-00159) Ministerio de Ciencia y Tecnología (Nacional) 82.570,00 €
28/12/2001 27/12/2004 Definición de diseño de un sistema de métricas para la valoración y estimación de proyectos de ingeniería del software (TIC2001-1143-C03-02) Ministerio de Ciencia y Tecnología (Nacional) 96.973,31 €

Contratos

Fecha de inicio Fecha de fin Denominación Agencia financiadora Importe concedido
31/08/2024 31/12/2025 CÁTEDRA DE INTELIGENCIA ARTIFICIAL US - GOOGLE (TSI-100930-2023-2) Ministerio de Asuntos Económicos y Transformación Digital (Local)
14/05/2024 13/05/2025 Automatización de Procesos Industriales Mediante Técnicas de Visión Artificial (P016-24/E22) Tornillería y Servicios, S.L.U. (Desconocido)
15/12/2023 14/12/2024 Identificación Automática de Fallos Mediante Visión Artificial en Imágenes Tomadas por Drones en Plantas Termosolares. (P041-23/E22) Sol-Ution Performance and Engineering Services, S.L. (Desconocido)
01/08/2022 30/06/2023 Evaluación y Análisis Crítico de Datos Procedentes de Invernaderos en el Proyecto I-GROW. (P021-22/E22) Fundación para las Tecnologías Auxiliares de la Agricultura (Desconocido)
01/06/2022 31/12/2022 Análisis de series temporales de demanda de consumidores domésticos (P019-22/E22) Asociación de Investigación y Cooperación Industrial de Andalucía (Desconocido)
07/06/2021 31/12/2022 Estudio de materiales antichispa para desbrozadoras forestales (4179/1106) SEANTO, S.L. (Desconocido)
29/04/2021 01/04/2022 IA + IoT para la construcción de Servicios de Hogar Inteligente II (P011-21/E22) Smart IoT Labs, S.L. (Desconocido)
01/04/2021 31/07/2023 Plataforma wearable para el diagnóstico temprano de trastornos emocionales y agudizaciones en pacientes con enfermedades crónicas mediante el uso de Inteligencia Artificial (SENSING-AI ) (P001-21/E22) Salumedia Labs, S.L.U. (Desconocido)
29/07/2020 31/08/2020 Servicios de Inteligencia de Negocio y Perfilado Estadistico del Servicio Andaluz de Empleo (P031-20/E22) AYESA A.T. (Desconocido)
08/05/2020 30/09/2020 RAYUELA II Desarrollo de Estudios y Análisis en RAYUELA Inteligente (P011-20/E22) AYESA A.T. (Desconocido)
21/04/2020 21/04/2021 IA + IoT para la construcción de Servicios de Hogar Inteligente I (P008-20/E22) Smart IoT Labs, S.L. (Desconocido)
01/03/2019 30/09/2020 CECOVEL II: Nuevos Desarrollos para el Previsor de Demanda de Vehículo Eléctrico (PI-1919/12/2019) Red Eléctrica de España, S.A (Madrid) (Desconocido)
02/01/2019 31/12/2019 Desarrollo de Estudios y Análisis en Rayuela Inteligente (P007-19/E22) AYESA A.T. (Desconocido)

Ayudas

Fecha de inicio Fecha de fin Denominación Agencia financiadora Importe concedido
15/06/2012 15/09/2012 Estancia: Centro Nacional de Genómica, Proteómica y Bioinformática de Chile, Santiago de Chile, 90 días (PP2012-05-049) Universidad de Sevilla (Local) 3.300,00 €
18/06/2011 15/09/2011 Estancia: Universidad de Nottingham (Reino Unido), 90 días (PP2011-05-057) Universidad de Sevilla (Local) 2.220,00 €
01/10/2010 31/12/2013 Red española de minería de datos y aprendizaje (TIN2010-09163-E) Ministerio de Ciencia e Innovación (Nacional) 10.000,00 €
01/01/2007 01/01/2008 Red de minería de datos y aprendizaje (TIN2006-27675-E) Ministerio de Educación y Ciencia (Nacional) 15.000,00 €
01/01/2005 31/03/2007 Minig data streams (HP2004-0044) Ministerio de Educación y Ciencia (Nacional) 7.804,00 €
01/11/2004 01/11/2006 Red española de minería de datos y aprendizaje automático (TIN2004-21343-E) Ministerio de Educación y Ciencia (Nacional) 12.000,00 €
01/06/2003 01/06/2004 Red Española de Minería de Datos y Aprendizaje Automático (TIC2002-11124-E) Ministerio de Ciencia y Tecnología (Nacional) 18.000,00 €
19/06/2002 18/06/2003 Organización del Congreso Iberoamericano de Inteligencia Artificial IBERAMIA 2002. Programa Nacional: Tecnologías de la Información y las Comunicaciones (TIC2001-4480-E) Ministerio de Ciencia y Tecnología (Nacional) 6.000,00 €

Transferencia de Conocimiento

Fecha de inicio Fecha de fin Denominación Agencia financiadora Importe concedido
27/12/2021 30/04/2023 Modelos de Deep Learning para sistemas de energía renovable: predicción de generación y mantenimiento preventivo y predictivo (PYC20 RE 078 US) Junta de Andalucía (Consejería de Economía, Conocimiento, Empresas y Universidad) (Autonómico) 126.700,00 €
01/02/2020 31/07/2021 SocietySoft-Transferencia de herramientas, políticas y principios para la creación de software de calidad para la sociedad digital (AT17_5904_USE) Consejería de Economía, Conocimiento, Empresas y Universidad (Autonómico) 72.489,03 €
El colectivo no tiene ningún resultado de investigación asociado