Home - Artificial Intelligence Applications and Innovations

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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Data Mining/Modeling

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