.- A comparison of AI methods for Groundwater Level Prediction in Burkina Faso.
.- A Deep Learning-Based Framework for Racket Sports Court Registration.
.- Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer.
.- Cross-Relational Reasoning for Neural Tensor Networks.
.- C-XGBoost: A tree boosting model for causal effect estimation.
.- FCGAN: Spectral Convolutions via FFT for Channel-Wide Receptive Field in Generative Adversarial Networks.
.- Forecasting Longitudinal Acceleration in Urban Vehicles.
.- Lip Recognition Based on Bi-GRU with Multi-Head Self-Attention.
.- Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process.
.- Towards robust Road Quality Detection using different Detection Models.
.- Towards Semantically Conscious, Conversation-based Chatbot Services for Migrants.
.- Using Boosting and Neural Networks Methods to Detect Healthcare Fraud.
.- Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation.
.- Carbon-Aware Machine Learning: A case study on cellular traffic forecasting with Spiking Neural Networks.
.- Emerging research topics identification using Temporal Graph Neural Networks.
.- Explanations for Core Decomposition.
.- Graph Neural Networks In PyTorch For Link Prediction In Industry 4.0 Process Graphs.
.- Knowledge Graph Completion using Structural and Textual Embeddings.
.- Lightweight Inference by Neural Network Pruning: Accuracy, Time and Comparison.
.- Multi-Adaptive Neural Modelling of the Interplay of Changing Organisational Contexts, Epigenetics, and Personality Traits in the Development of Burnout.
.- Parameterization of the Victor-Purpura distance for matching temporal neural activity patterns in real-time.
.- A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem.
.- A Second-Order Adaptive Network Model for Political Opinion Dynamics.
.- An evaluation framework for synthetic data generation models.
.- Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules.
.- Statistical Modeling of Univariate Unimodal Data using ?-sigmoid Mixture Models.
.- Test Case Features as Hyper-heuristics for Inductive Programming.
