Machine Learning, Optimization, and Data Science

Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation.- Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code.- Geolocation Risk Scores for Credit Scoring Models.- Social Media Analysis: The Relationship between Private Investors and Stock Price.- Deep learning model of two-phase fluid transport through fractured media: a real-world case study.- A Proximal Algorithm for Network Slimming.- Diversity in deep generative models and generative AI.- Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes.- kolopoly: Case Study on Large Action Spaces in Reinforcement Learning.- Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems.- Heaviest and densest subgraph computation for binary classification. A case study.- SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization.- Accelerated Graph Integration with Approximation of Combining Parameters.- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison.- A hybrid steady-state genetic algorithm for the minimum conflict spanningtree problem.- Reinforcement learning for multi-neighborhood local search in combinatorial optimization.- Evaluation of Selected Autoencoders in the Context of End-User Experience Management.- Application of multi-agent reinforcement learning to the dynamic scheduling problem in manufacturing systems.- Solving Mixed Influence Diagrams by Reinforcement Learning.- Multi-Scale Heat Kernel Graph Network for Graph Classification.- Accelerating Random Orthogonal Search for Global Optimization using Crossover.- A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application toVehicles Emissions.- LSTM noise robustness: a case study for heavy vehicles.- Ensemble Clustering for Boundary Detection in High-Dimensional Data.- Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains.- Towards an Interpretable Functional Image-Based Classifier: Dimensionality.- Reduction of High-Density Di use Optical Tomography Data.- On Ensemble Learning for Mental Workload Classification.- Decision-making over compact preference structures.- User-Like Bots for Cognitive Automation: A Survey.- On Channel Selection for EEG-based Mental Workload Classification.- What Song Am I Thinking Of.- Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data.- Sensitivity Analysis for Feature Importance in Predicting Alzheimer?s Disease.- A Radically New Theory of how the Brain Represents and Computes with Probabilities.