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20th AIAI 2024: Corfu, Greece
- Ilias Maglogiannis
, Lazaros S. Iliadis
Artificial Intelligence Applications and Innovations - 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part III. IFIP Advances in Information and Communication Technology 713, Springer 2024, ISBN 978-3-031-63218-1
Deep Learning
- Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabane, Rodrique Kafando, Abdoul Kader Kaboré, Tegawendé F. Bissyandé:
A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso. 3-16 - Ahmed Jouini
A Deep Learning-Based Framework for Racket Sports Court Registration. 17-29 - Petr Hájek
Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. 30-43 - Tristan Falck, Duncan Coulter:
Cross-Relational Reasoning for Neural Tensor Networks. 44-57 - Niki Kiriakidou
C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. 58-70 - Pedro H. B. Gomes
FCGAN: Spectral Convolutions via FFT for Channel-Wide Receptive Field in Generative Adversarial Networks. 71-84 - János Kontos
Forecasting Longitudinal Acceleration in Urban Vehicles. 85-98 - Ran Ni, Haiyang Jiang, Lu Zhou, Yuanyao Lu:
Lip Recognition Based on Bi-GRU with Multi-Head Self-Attention. 99-110 - Mandar V. Tabib
Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. 111-124 - Aayushi Vinod Thantharate
Towards Robust Road Quality Detection Using Different Detection Models. 125-138 - Georgios Meditskos
Towards Semantically Conscious, Conversation-Based Chatbot Services for Migrants. 139-148 - Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras:
Using Boosting and Neural Networks Methods to Detect Healthcare Fraud. 149-162
Graphs/Neural Networks/Machine Learning
- Kiourt Nichat, Lazaros S. Iliadis, Christos Akratos, Antonios Papaleonidas:
Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. 165-177 - Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis:
Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks. 178-191 - Antonis Charalampous
Emerging Research Topics Identification Using Temporal Graph Neural Networks. 192-205 - Christos Konstantopoulos, Konstantinos Tsichlas:
Explanations for Core Decomposition. 206-219 - Eleanna Kafeza
Graph Neural Networks in PyTorch for Link Prediction in Industry 4.0 Process Graphs. 220-234 - Sakher Khalil Alqaaidi, Krzysztof J. Kochut:
Knowledge Graph Completion Using Structural and Textual Embeddings. 235-247 - Ilias Paralikas
Lightweight Inference by Neural Network Pruning: Accuracy, Time and Comparison. 248-257 - Debby Bouma
Multi-adaptive Neural Modelling of the Interplay of Changing Organisational Contexts, Epigenetics, and Personality Traits in the Development of Burnout. 258-273 - Alberto Ayala
Parameterization of the Victor-Purpura Distance for Matching Temporal Neural Activity Patterns in Real-Time. 274-287
Data Mining/Modeling
- Sven Löffler, Petra Hofstedt:
A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem. 291-304 - Mathijs Pellemans
A Second-Order Adaptive Network Model for Political Opinion Dynamics. 305-319 - Ioannis E. Livieris
An Evaluation Framework for Synthetic Data Generation Models. 320-335 - Georgia Sovatzidi, Georgios Triantafyllou, George Dimas, Panagiotis G. Kalozoumis, Dimitris Drikakis, Ioannis W. Kokkinakis, Ioannis A. Markakis, Christina Golna, Dimitris K. Iakovidis:
Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules. 336-348 - Paraskevi Chasani, Aristidis Likas:
Statistical Modeling of Univariate Unimodal Data Using Π-Sigmoid Mixture Models. 349-361 - Edward McDaid
Test Case Features as Hyper-heuristics for Inductive Programming. 362-375
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