Charalampos M. Liapis

Int. J. Artif. Intell. Tools, August, 2024

Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles.

[BibT_eX]

[DOI]

Inf. Sci., 2024

2023

A multivariate ensemble learning method for medium-term energy forecasting.

[BibT_eX]

[DOI]

Neural Comput. Appl., October, 2023

Investigating Deep Stock Market Forecasting with Sentiment Analysis.

[BibT_eX]

[DOI]

Entropy, February, 2023

Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting.

[BibT_eX]

[DOI]

Inf., 2023

Financial sentiment analysis: Classic methods vs. deep learning models.

[BibT_eX]

[DOI]

Gregory Davrazos

Intell. Decis. Technol., 2023

2022

Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison.

[BibT_eX]

[DOI]

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Investigating cluster validation metrics for optimal number of clusters determination.

[BibT_eX]

[DOI]

Intell. Decis. Technol., 2021

A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting.

[BibT_eX]

[DOI]

Entropy, 2021

A comparative study of validity indices on estimating the optimal number of clusters.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information, 2021

2020

An ensemble forecasting method using univariate time series COVID-19 data.

[BibT_eX]

[DOI]