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Journal Articles
- 2024
[j7]Charalampos M. Liapis
, Aikaterini Karanikola, Sotiris Kotsiantis:
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News. Int. J. Artif. Intell. Tools 33(5): 2450013:1-2450013:19 (2024)- [j6]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles. Inf. Sci. 676: 120786 (2024) - 2023
- [j5]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
Investigating Deep Stock Market Forecasting with Sentiment Analysis. Entropy 25(2): 219 (2023) - [j4]Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis:
Financial sentiment analysis: Classic methods vs. deep learning models. Intell. Decis. Technol. 17(4): 893-915 (2023) - [j3]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
A multivariate ensemble learning method for medium-term energy forecasting. Neural Comput. Appl. 35(29): 21479-21497 (2023) - 2021
- [j2]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting. Entropy 23(12): 1603 (2021) - [j1]Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis:
Investigating cluster validation metrics for optimal number of clusters determination. Intell. Decis. Technol. 15(4): 809-824 (2021)
Conference and Workshop Papers
- 2022
- [c9]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners. AIAI (1) 2022: 343-355 - 2021
- [c8]Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis:
A comparative study of validity indices on estimating the optimal number of clusters. IISA 2021: 1-8 - [c7]Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis:
A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting. IISA 2021: 1-7 - 2020
- [c6]Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis:
An ensemble forecasting method using univariate time series COVID-19 data. PCI 2020: 50-52 - 2019
- [c5]Aikaterini Karanikola, Sotiris Kotsiantis:
A hybrid method for missing value imputation. PCI 2019: 74-79 - 2018
- [c4]Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis:
Active fuzzy rule induction. EAIS 2018: 1-8 - [c3]Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis:
An incrementally updateable ensemble learner. PCI 2018: 243-248 - [c2]Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis:
Local weighted Averaged 2-Dependence Estimator. SETN 2018: 28:1-28:4 - 2016
- [c1]Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Speech Recognition Combining MFCCs and Image Features. SPECOM 2016: 651-658
Coauthor Index
aka: Sotiris Kotsiantis
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