MediaWatchers4Climate: Assessing the Accuracy of Climate Change Narratives in Greek Media Through Machine Learning by Thomai Baltzi, Stella Nikitaki, Fani Galatsopoulou, Ioanna Kostarella, Andreas Veglis, Vasilis Vasilopoulos, Dimitris Papaevagelou, Antonis Skamnakis

“…Machine Learning and Knowledge Extraction…”
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Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity by Daniel Jiménez-López, Nuria Rodríguez-Barroso, M. Victoria Luzón, Javier Del Ser, Francisco Herrera

“…Machine Learning and Knowledge Extraction…”
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Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence by Moheb Yacoub, Moataz Abdelwahab, Kazuo Shiokawa, Ayman Mahrous

“…Machine Learning and Knowledge Extraction…”
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Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification by Jonathan Schler, Elisheva Bonchek-Dokow

“…Machine Learning and Knowledge Extraction…”
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Quantum-Inspired Models for Classical Time Series by Zoltán Udvarnoki, Gábor Fáth

“…Machine Learning and Knowledge Extraction…”
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Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning by Umar Subhan Malhi, Junfeng Zhou, Abdur Rasool, Shahbaz Siddeeq

“…Machine Learning and Knowledge Extraction…”
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Exploring the Intersection of Machine Learning and Big Data: A Survey by Elias Dritsas, Maria Trigka

“…Machine Learning and Knowledge Extraction…”
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Application of Bayesian Neural Networks in Healthcare: Three Case Studies by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…Machine Learning and Knowledge Extraction…”
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Diversifying Multi-Head Attention in the Transformer Model by Nicholas Ampazis, Flora Sakketou

“…Machine Learning and Knowledge Extraction…”
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Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism by Radu Ion, Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea, Dan Tufiș

“…Machine Learning and Knowledge Extraction…”
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AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas, Xanthi Papageorgiou, Fransisco Garcia, Zinonas Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides

“…Machine Learning and Knowledge Extraction…”
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Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments by Stephen Fox

“…Machine Learning and Knowledge Extraction…”
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A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy by Gregorius Airlangga, Alan Liu

“…Machine Learning and Knowledge Extraction…”
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Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection by Max Klein, Niklas Dormagen, Lukas Wimmer, Markus H. Thoma, Mike Schwarz

“…Machine Learning and Knowledge Extraction…”
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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

“…Machine Learning and Knowledge Extraction…”
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Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks by Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos

“…Machine Learning and Knowledge Extraction…”
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