Katerina Karanikola

According to our database, Katerina Karanikola authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News.

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

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

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

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Inf. Sci., 2024

2023

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

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Neural Comput. Appl., October, 2023

Investigating Deep Stock Market Forecasting with Sentiment Analysis.

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Entropy, February, 2023

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

Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis

Intell. Decis. Technol., 2023

2022

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

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Investigating cluster validation metrics for optimal number of clusters determination.

Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis

Intell. Decis. Technol., 2021

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

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Entropy, 2021

A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting.

Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis

Proceedings of the 12th International Conference on Information, 2021

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

Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis

Proceedings of the 12th International Conference on Information, 2021

2020

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

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

2019

A hybrid method for missing value imputation.

Aikaterini Karanikola, Sotiris Kotsiantis

Proceedings of the 23rd Pan-Hellenic Conference on Informatics, 2019

2018

Local weighted Averaged 2-Dependence Estimator.

Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

An incrementally updateable ensemble learner.

Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

Active fuzzy rule induction.

Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2016

Speech Recognition Combining MFCCs and Image Features.

Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Speech and Computer - 18th International Conference, 2016