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 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)

Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison. - Charalampos M. Liapis; Sotiris Kotsiantis (SETN, 2022)

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

Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting. - Charalampos M. Liapis; Sotiris Kotsiantis (Inf., 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)

Transformer-Based Embeddings for Greek Language Categorization. - Charalampos M. Liapis; Konstantinos Kyritsis; Isidoros Perikos; Michael Paraskevas (ICIS, 2024)

A Comparative Analysis of Transformer Models in Zero-Shot Text Classification. - Konstantinos Kyritsis; Charalampos M. Liapis; Nikolaos Spatiotis; Isidoros Perikos; Michael Paraskevas (IISA, 2024)

Analysis of the Performance of Transformers and Ensemble Schemes for Twitter US Airlines Sentiment Analysis. - Konstantinos Kyritsis; Isidoros Perikos; Charalampos M. Liapis; Vaggelis Kapoulas; Michael Paraskevas (PCI, 2024)

A Convolutionaly-Informed XLM-RoBERTa for Classifying Short Text Inquires in Greek School Network. - Charalampos M. Liapis; Isidoros Perikos; Konstantinos Kyritsis; Vaggelis Kapoulas; Michael Paraskevas (PCI, 2024)

A Hybrid Ensemble Approach for Greek Text Classification Based on Multilingual Models. - Charalampos M. Liapis; Konstantinos Kyritsis; Isidoros Perikos; Nikolaos Spatiotis; Michael Paraskevas (Big Data Cogn. Comput., 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)

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)