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Table of Contents Artificial Intelligence Applications and Innovations Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas Front Matter Deep Learning A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabane, Rodrique Kafando, Abdoul Kader Kabore, Tegawendé F. Bissyande 3-16 A Deep Learning-Based Framework for Racket Sports Court Registration Ahmed Jouini, Melek Elloumi, Faten Chaieb 17-29 Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer Petr Hajek, Josef Novotny 30-43 Cross-Relational Reasoning for Neural Tensor Networks Tristan Falck, Duncan Coulter 44-57 C-XGBoost: A Tree Boosting Model for Causal Effect Estimation Niki Kiriakidou, Ioannis E. Livieris, Christos Diou 58-70 FCGAN: Spectral Convolutions via FFT for Channel-Wide Receptive Field in Generative Adversarial Networks Pedro Gomes, Luiz Fernando Santos, Marcelo Gattass 71-84 Forecasting Longitudinal Acceleration in Urban Vehicles János Kontos, László Bódis, Ágnes Vathy-Fogarassy 85-98 Lip Recognition Based on Bi-GRU with Multi-Head Self-Attention Ran Ni, Haiyang Jiang, Lu Zhou, Yuanyao Lu 99-110 Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process Mandar V. Tabib, Adil Rasheed 111-124 Towards Robust Road Quality Detection Using Different Detection Models Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta 125-138 Towards Semantically Conscious, Conversation-Based Chatbot Services for Migrants Georgios Meditskos, Stergios Tegos, Christos Bouas, Alexandros Tassios, Konstantinos Manousaridis, Maria Papoutsoglou, Thanassis Mavropoulos, Stefanos Vrochidis 139-148 Using Boosting and Neural Networks Methods to Detect Healthcare Fraud Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras 149-162 Graphs/Neural Networks/Machine Learning Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation Kiourt Nichat, Lazaros Iliadis, Christos Akratos, Antonis Papaleonidas 165-177 Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis 178-191 Emerging Research Topics Identification Using Temporal Graph Neural Networks Antonis Charalampous, Constantinos Djouvas, Nicolas Tsapatsoulis, Emily Kouzaridi 192-205 Explanations for Core Decomposition Christos Konstantopoulos, Konstantinos Tsichlas 206-219 Graph Neural Networks in PyTorch for Link Prediction in Industry 4.0 Process Graphs Eleanna Kafeza, Georgios Drakopoulos, Phivos Mylonas 220-234 Knowledge Graph Completion Using Structural and Textual Embeddings Sakher Khalil Alqaaidi, Krzysztof J. Kochut 235-247 Lightweight Inference by Neural Network Pruning: Accuracy, Time and Comparison Ilias Paralikas, Sotiris Spantideas, Anastasios Giannopoulos, Panagiotis Trakadas 248-257 Multi-adaptive Neural Modelling of the Interplay of Changing Organisational Contexts, Epigenetics, and Personality Traits in the Development of Burnout Debby Bouma, Jan Treur 258-273 Parameterization of the Victor-Purpura Distance for Matching Temporal Neural Activity Patterns in Real-Time Alberto Ayala, Angel Lareo, Pablo Varona, Francisco B. Rodriguez 274-287 Data Mining/Modeling A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem Sven Löffler, Petra Hofstedt 291-304 A Second-Order Adaptive Network Model for Political Opinion Dynamics Mathijs Pellemans, Micha Den Heijer, Sien Jansen, Jan Treur 305-319 An Evaluation Framework for Synthetic Data Generation Models I. E. Livieris, N. Alimpertis, G. Domalis, D. Tsakalidis 320-335 Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules Georgia Sovatzidi, Georgios Triantafyllou, George Dimas, Panagiotis G. Kalozoumis, Dimitris Drikakis, Ioannis W. Kokkinakis, Ioannis A. Markakis, Christina Golna, Dimitris K. Iakovidis 336-348 Statistical Modeling of Univariate Unimodal Data Using Π-Sigmoid Mixture Models Paraskevi Chasani, Aristidis Likas 349-361 Test Case Features as Hyper-heuristics for Inductive Programming Edward Mcdaid, Sarah Mcdaid 362-375

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