Machine Learning, Optimization, and Data Science

Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning.- Leverage Mathematics? capability to compress and generalize as application of ML Embedding extraction from LLMs and its adaptation in the Automotive Space.- Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks.- 38 Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets.- A Machine Learning Approach for Source Code Similarity via Graph-focused Features.- Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping.- ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation.- Perceptrons Under Veri able Random Data Corruption.- 104 Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach.- Solving Continuous Optimization Problems with a new Hyperheuristic Framework.-Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text.- Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data.- A FastMap-Based Framework for E ciently Computing Top-K Projected Centrality.- Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shell sh production areas.- The Price of Data Processing Gail Gilboa Freedman.- Reward Shaping for Job Shop Scheduling.- A 3D Terrain Generator: Enhancing Robotics Simulations with GANs.- Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region.- Bilevel Optimization by Conditional Bayesian Optimization.- Few-Shot Learning for Character Recognition in Persian Historical Documents.- ProVolOne ? Protein Volume Prediction Using a Multi-Attention, Multi-Resolution Deep Neural Network