Charalampos M. Liapis

Orcid: 0000-0002-4717-031X

According to our database1, Charalampos M. Liapis authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News.
Int. J. Artif. Intell. Tools, August, 2024

Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles.
Inf. Sci., 2024

2023
A multivariate ensemble learning method for medium-term energy forecasting.
Neural Comput. Appl., October, 2023

Investigating Deep Stock Market Forecasting with Sentiment Analysis.
Entropy, February, 2023

Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting.
Inf., 2023

Financial sentiment analysis: Classic methods vs. deep learning models.
Intell. Decis. Technol., 2023

2022
Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison.
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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021
Investigating cluster validation metrics for optimal number of clusters determination.
Intell. Decis. Technol., 2021

A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting.
Entropy, 2021

A comparative study of validity indices on estimating the optimal number of clusters.
Proceedings of the 12th International Conference on Information, 2021

2020
An ensemble forecasting method using univariate time series COVID-19 data.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020


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