Aikaterini Karanikola

18 papers Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reducing labeled data requirements in text classification with active learning and BERT-based transformers.
Neural Comput. Appl.
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2025 — conf
Energy Load Forecasting with Distributional Emotion Embeddings.
AIAI (1)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2025 J jnl
Enhancing sentiment analysis with distributional emotion embeddings.
Neurocomputing
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2024 J jnl
Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles.
Inf. Sci.
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2024 J jnl
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News.
Int. J. Artif. Intell. Tools
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2023 J jnl
A multivariate ensemble learning method for medium-term energy forecasting.
Neural Comput. Appl.
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2023 J jnl
Financial sentiment analysis: Classic methods vs. deep learning models.
Intell. Decis. Technol.
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis
2023 J jnl
Investigating Deep Stock Market Forecasting with Sentiment Analysis.
Entropy
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2022 — conf
Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners.
AIAI (1)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2021 J jnl
A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting.
Entropy
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2021 — conf
A comparative study of validity indices on estimating the optimal number of clusters.
IISA
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2021 — conf
A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting.
IISA
Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis
2021 J jnl
Investigating cluster validation metrics for optimal number of clusters determination.
Intell. Decis. Technol.
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2020 — conf
An ensemble forecasting method using univariate time series COVID-19 data.
PCI
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2019 — conf
A hybrid method for missing value imputation.
PCI
Aikaterini Karanikola, Sotiris Kotsiantis
2018 — conf
Active fuzzy rule induction.
EAIS
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis
2018 — conf
An incrementally updateable ensemble learner.
PCI
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis
2018 — conf
Local weighted Averaged 2-Dependence Estimator.
SETN
Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis