Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso

Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso

Universidad Pablo de Olavide

H-index: 39

Europe-Spain

About Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso

Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso, With an exceptional h-index of 39 and a recent h-index of 27 (since 2020), a distinguished researcher at Universidad Pablo de Olavide, specializes in the field of Deep Learning, Time Series Forecasting, Machine Learning, Big Data, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Medium-term water consumption forecasting based on deep neural networks

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

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

A new Apache Spark-based framework for big data streaming forecasting in IoT networks

Identification of Anomalies in Urban Sound Data with Autoencoders

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on …

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso Information

University

Position

Full Professor Data Science & Big Data Lab

Citations(all)

4627

Citations(since 2020)

3067

Cited By

2584

hIndex(all)

39

hIndex(since 2020)

27

i10Index(all)

80

i10Index(since 2020)

70

Email

University Profile Page

Universidad Pablo de Olavide

Google Scholar

View Google Scholar Profile

Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso Skills & Research Interests

Deep Learning

Time Series Forecasting

Machine Learning

Big Data

Data Mining

Top articles of Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso

Title

Journal

Author(s)

Publication Date

Medium-term water consumption forecasting based on deep neural networks

Expert Systems with Applications

A Gil-Gamboa

Pilar Paneque

O Trull

Alicia Troncoso

2024/8/1

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

Future Generation Computer Systems

Ruben Pérez-Chacón

Gualberto Asencio-Cortés

A Troncoso

F Martínez-Álvarez

2024/5/1

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

Applied Water Science

CG García-Soto

JF Torres

MA Zamora-Izquierdo

J Palma

A Troncoso

2024/2

A new Apache Spark-based framework for big data streaming forecasting in IoT networks

The Journal of Supercomputing

Antonio M Fernández-Gómez

David Gutiérrez-Avilés

Alicia Troncoso

Francisco Martínez-Álvarez

2023/7

Identification of Anomalies in Urban Sound Data with Autoencoders

Laura Melgar-García

Maryam Hosseini

Alicia Troncoso

2023/8/29

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

Computers and Electronics in Agriculture

AR Troncoso-García

IS Brito

A Troncoso

F Martínez-Álvarez

2023/12/1

International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on …

Pablo García Bringas

2023

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

Information Fusion

Laura Melgar-García

David Gutiérrez-Avilés

Cristina Rubio-Escudero

Alicia Troncoso

2023/7/1

Hybrid Artificial Intelligent Systems: 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings

Pablo García Bringas

Hilde Pérez García

Francisco Javier Martínez de Pisón

Francisco Martínez Álvarez

Alicia Troncoso Lora

...

2023/8/28

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

Laura Melgar-García

Francisco Martínez-Álvarez

Dieu Tien Bui

Alicia Troncoso

2023/10/2

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

AR Troncoso-García

M Martínez-Ballesteros

F Martínez-Álvarez

A Troncoso

2023/6/19

Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

Laura Melgar-García

Ángela Troncoso-García

David Gutiérrez-Avilés

José Francisco Torres

Alicia Troncoso

2023/8/27

Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning

AM Chacón-Maldonado

AR Troncoso-García

F Martínez-Álvarez

G Asencio-Cortés

A Troncoso

2023/8/31

A new approach based on association rules to add explainability to time series forecasting models

Information Fusion

AR Troncoso-García

María Martínez-Ballesteros

Francisco Martínez-Álvarez

Alicia Troncoso

2023/6/1

Identifying novelties and anomalies for incremental learning in streaming time series forecasting

Engineering Applications of Artificial Intelligence

Laura Melgar-García

David Gutiérrez-Avilés

Cristina Rubio-Escudero

Alicia Troncoso

2023/8/1

Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment

Pablo Casas-Gómez

Francisco Martínez-Álvarez

Alicia Troncoso

Juan Carlos Linares

2023/8/31

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption

Logic Journal of the IGPL

P Jiménez-Herrera

Laura Melgar-García

Gualberto Asencio-Cortés

A Troncoso

2023/4

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

SoftwareX

Andrés Manuel Chacón-Maldonado

Gualberto Asencio-Cortés

Francisco Martínez-Álvarez

Alicia Troncoso

2023/7/1

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

E Tefera

M Martínez-Ballesteros

A Troncoso

F Martínez-Álvarez

2023/8/29

Evolutionary computation to explain deep learning models for time series forecasting

Angela Troncoso Garcia

Alicia Troncoso Lora

Francisco Martinez-Alvarez

Maria Martinez Ballesteros

2023/3/27

See List of Professors in Alicia Troncoso (ORCID: 0000-0002-9801-7999) https://datalab.upo.es/troncoso University(Universidad Pablo de Olavide)