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

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Predicting and Interpreting Students’ Grades in Distance Higher Education through a Semi-Regression Method by Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis

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A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems by Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis

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Explainable AI: A Review of Machine Learning Interpretability Methods by Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis

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Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks by Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis

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Unsupervised Outlier Detection: A Meta-Learning Algorithm Based on Feature Selection by Vasilis Papastefanopoulos, Pantelis Linardatos, Sotiris Kotsiantis

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AI-Assisted Programming Tasks Using Code Embeddings and Transformers by Sotiris Kotsiantis, Vassilios Verykios, Manolis Tzagarakis

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COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population by Vasilis Papastefanopoulos, Pantelis Linardatos, Sotiris Kotsiantis

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A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting by Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

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Investigating Deep Stock Market Forecasting with Sentiment Analysis by Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis

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Special Issue on Machine Learning and AI for Sensors by Panagiotis Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris

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Meteorological Data Warehousing and Analysis for Supporting Air Navigation by Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis, Vassilios S. Verykios

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Transfer Learning from Deep Neural Networks for Predicting Student Performance by Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos

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Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities by Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, Sotiris Kotsiantis

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CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data by Pantelis Linardatos, Vasilis Papastefanopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis

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Iterative Robust Semi-Supervised Missing Data Imputation by Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas

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Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level by Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios

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Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis by Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios

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Coping with Access Difficulties and Absenteeism through Data Visualization: A Case Study from a Rural Vocational School in Northern Greece by Christos Samaras, Rozita Tsoni, Evgenia Paxinou, Sotiris Kotsiantis, Vassilios S. Verykios

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Early Dropout Prediction in MOOCs through Supervised Learning and Hyperparameter Optimization by Theodor Panagiotakopoulos, Sotiris Kotsiantis, Georgios Kostopoulos, Omiros Iatrellis, Achilles Kameas

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