Speech Recognition Combining MFCCs and Image Features. - Stamatis Karlos; Nikos Fazakis; Katerina Karanikola; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (SPECOM, 2016)

Active fuzzy rule induction. - Aikaterini Karanikola; Stamatis Karlos; Vangjel Kazllarof; Eirini Kateri; Sotiris Kotsiantis (EAIS, 2018)

An incrementally updateable ensemble learner. - Aikaterini Karanikola; Stamatis Karlos; Vangjel Kazllarof; Sotiris Kotsiantis (PCI, 2018)

Local weighted Averaged 2-Dependence Estimator. - Stamatis Karlos; Aikaterini Karanikola; Vangjel Kazllarof; Sotiris Kotsiantis (SETN, 2018)

A hybrid method for missing value imputation. - Aikaterini Karanikola; Sotiris Kotsiantis (PCI, 2019)

An ensemble forecasting method using univariate time series COVID-19 data. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (PCI, 2020)

A comparative study of validity indices on estimating the optimal number of clusters. - Aikaterini Karanikola; Charalampos M. Liapis; Sotiris Kotsiantis (IISA, 2021)

A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting. - Iliana Paliari; Aikaterini Karanikola; Sotiris Kotsiantis (IISA, 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)

Investigating cluster validation metrics for optimal number of clusters determination. - Aikaterini Karanikola; Charalampos M. Liapis; Sotiris Kotsiantis (Intell. Decis. Technol., 2021)

Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (AIAI (1), 2022)

Financial sentiment analysis: Classic methods vs. deep learning models. - Aikaterini Karanikola; Gregory Davrazos; Charalampos M. Liapis; Sotiris Kotsiantis (Intell. Decis. Technol., 2023)

Investigating Deep Stock Market Forecasting with Sentiment Analysis. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (Entropy, 2023)

A multivariate ensemble learning method for medium-term energy forecasting. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (Neural Comput. Appl., 2023)

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)

Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (Int. J. Artif. Intell. Tools, 2024)

Energy Load Forecasting with Distributional Emotion Embeddings. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (AIAI (1), 2025)

Enhancing sentiment analysis with distributional emotion embeddings. - Charalampos M. Liapis; Aikaterini Karanikola; Sotiris Kotsiantis (Neurocomputing, 2025)