DS&BD
Data Science & Big Data Lab
Publications (483) Publications in which a researcher has participated
2023
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Preface
Lecture Notes in Networks and Systems
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Preface
Lecture Notes in Networks and Systems
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Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
Lecture Notes in Networks and Systems
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Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem
Lecture Notes in Networks and Systems
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A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia
Lecture Notes in Networks and Systems
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Ultracool dwarfs in Gaia DR3
Astronomy and Astrophysics, Vol. 669
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Evolutionary feature selection on high dimensional data using a search space reduction approach
Engineering Applications of Artificial Intelligence, Vol. 117
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A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Information Fusion, Vol. 95, pp. 163-173
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A new approach based on association rules to add explainability to time series forecasting models
Information Fusion, Vol. 94, pp. 169-180
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A new Apache Spark-based framework for big data streaming forecasting in IoT networks
Journal of Supercomputing
2022
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Data of transcriptional effects of the merbarone-mediated inhibition of TOP2
Data in Brief
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Automatic Diagnosis of Diabetic Retinopathy from Fundus Images Using Neuro-Evolutionary Algorithms
Studies in Health Technology and Informatics
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A novel approach to discover numerical association based on the coronavirus optimization algorithm
Proceedings of the ACM Symposium on Applied Computing
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Deep Learning Application in Water and Environmental Sciences
Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 273-290
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DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
Knowledge-Based Systems, Vol. 254
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Automatic Eligibility of Sellers in an Online Market Place: A Case Study of Amazon Algorithm
Information (Switzerland), Vol. 13, Núm. 2
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Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study
Electronics, Vol. 11, Núm. 2, pp. 267
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A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting
Information Sciences, Vol. 586, pp. 611-627
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A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
Neurocomputing, Vol. 500, pp. 268-278
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A deep LSTM network for the Spanish electricity consumption forecasting
Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10533-10545