Charalampos M. Liapis

21 papers C 1Journal 12Unranked 8
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
2025 J jnl
From Transformers to Voting Ensembles for Interpretable Sentiment Classification: A Comprehensive Comparison.
Comput.
Konstantinos Kyritsis, Charalampos M. Liapis, Isidoros Perikos, Michael Paraskevas, Vaggelis Kapoulas
2024 — conf
A Comparative Analysis of Transformer Models in Zero-Shot Text Classification.
IISA
Konstantinos Kyritsis, Charalampos M. Liapis, Nikolaos Spatiotis, Isidoros Perikos, Michael Paraskevas
2024 — conf
A Convolutionaly-Informed XLM-RoBERTa for Classifying Short Text Inquires in Greek School Network.
PCI
Charalampos M. Liapis, Isidoros Perikos, Konstantinos Kyritsis, Vaggelis Kapoulas, Michael Paraskevas
2024 J jnl
A Hybrid Ensemble Approach for Greek Text Classification Based on Multilingual Models.
Big Data Cogn. Comput.
Charalampos M. Liapis, Konstantinos Kyritsis, Isidoros Perikos, Nikolaos Spatiotis, Michael Paraskevas
2024 — conf
Analysis of the Performance of Transformers and Ensemble Schemes for Twitter US Airlines Sentiment Analysis.
PCI
Konstantinos Kyritsis, Isidoros Perikos, Charalampos M. Liapis, Vaggelis Kapoulas, Michael Paraskevas
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
2024 C conf
Transformer-Based Embeddings for Greek Language Categorization.
ICIS
Charalampos M. Liapis, Konstantinos Kyritsis, Isidoros Perikos, Michael Paraskevas
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
2023 J jnl
Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting.
Inf.
Charalampos M. Liapis, Sotiris Kotsiantis
2022 — conf
Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison.
SETN
Charalampos M. Liapis, 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 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