Alicia
Troncoso Lora
Publications (181) Publications de Alicia Troncoso Lora
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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Advances in time series forecasting: innovative methods and applications
AIMS Mathematics
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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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Ground-Level Ozone Forecasting Using Explainable Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Medium-term water consumption forecasting based on deep neural networks
Expert Systems with Applications, Vol. 247
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Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption
Future Generation Computer Systems, Vol. 154, pp. 397-412
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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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Técnicas Big Data para la predicción de la demanda y precio eléctrico
Economía industrial, Núm. 431, pp. 119-130
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Water consumption time series forecasting in urban centers using deep neural networks
Applied Water Science, Vol. 14, Núm. 2
2023
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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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A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A new Apache Spark-based framework for big data streaming forecasting in IoT networks
Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100
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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 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 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
International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679
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Contexto europeo de la Inteligencia Artificial
Escritura pública, Núm. 142
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Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evolutionary computation to explain deep learning models for time series forecasting
Proceedings of the ACM Symposium on Applied Computing
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Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python
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