DS&BD
Data Science & Big Data Lab
Publications (307) Publications in which a researcher has participated View referenced research data.
2025
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Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization
Communications on Applied Nonlinear Analysis, Vol. 32, Núm. 1, pp. 155-172
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2024
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A novel incremental ensemble learning for real-time explainable forecasting of electricity price
Knowledge-Based Systems, Vol. 305
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A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach
AIMS Mathematics, Vol. 9, Núm. 5, pp. 13358-13384
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ASACO: Automatic and Serial Analysis of CO-expression to discover gene modifiers with potential use in drug repurposing
Briefings in Functional Genomics, Vol. 23, Núm. 4, pp. 484-494
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Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models
Heliyon, Vol. 10, Núm. 4
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Advances in time series forecasting: innovative methods and applications
AIMS Mathematics
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Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning
Engineering Applications of Artificial Intelligence, Vol. 137
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An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
Heliyon, Vol. 10, Núm. 3
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An evolutionary triclustering approach to discover electricity consumption patterns in France
Proceedings of the ACM Symposium on Applied Computing
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Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry
Astronomy and Astrophysics, Vol. 686
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Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm
Symmetry, Vol. 16, Núm. 6
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Emerging trends in big data analytics and natural disasters
Computers and Geosciences
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Evolutionary Feature Selection for Time-Series Forecasting
Proceedings of the ACM Symposium on Applied Computing
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Explainable deep learning on multi-target time series forecasting: An air pollution use case
Results in Engineering, Vol. 24
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Explainable olive grove and grapevine pest forecasting through machine learning-based classification and regression
Results in Engineering, Vol. 24
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Explaining deep learning models for ozone pollution prediction via embedded feature selection
Applied Soft Computing, Vol. 157
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Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach
Computer Communications, Vol. 217, pp. 230-245