Machine Learning, Optimization, and Data Science

.- Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring.
.- Identifying Potential Key Point of Sale Customers Using Network Centrality.
.- Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning.
.- Predicting Multiple Sclerosis Worsening Using Stratification Based and Time Dependent Variables Extracted from Routine Visits Data.
.- Predicting University Dropout Rates Using Machine Learning: UniCt case.
.- Investigating on Gradient Regularization for Testing Neural Networks.
.- SKIE SRL: Structured Key Information Extraction from Business Documents using Statistical Relational Learning.
.- Leveraging LLM powered Systems to Accelerate Mycobacterium tuberculosis Research Step One: From Documents to the Vectorstore.
.- Vegvisir: Probabilistic model (VAE) for viral T cell epitope prediction.
.- Tiny Long Short Term Memory Model for Resource Constrained Prediction of Battery Cycle Life.
.- Compact Artificial Neural Network Models for Predicting Protein Residue RNA Base Binding.
.- FWin transformer for dengue prediction under climate and ocean influence.
.- ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures.
.- Topological Layering of Mouse Brain Activity in Light Sheet Microscopy Datasets.
.- A Constraint Based Savings Algorithm for the Traveling Salesman Problem.
.- Gaussian process interpolation with conformal prediction: methods and comparative analysis.
.- Using embeddings of pre trained models for cross database dysarthria detection: supervised vs. self supervised approach.
.- Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes.
.- Integrating Logit Space Embeddings for Reliable Out of Distribution Detection.
.- A Computational Framework for Identifying Salient Moments in Motion Capture Data.
.- Machine Learning for the Evaluation of the Nephrops Norvegicus Population.
.- Enhancing Cluster Based Topic Models through Parametric Dimensionality Reduction with Transformer Encoders.
.- Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification.
.- Rapidly Computing Approximate Graph Convex Hulls via FastMap.
.- Deep Gaussian mixture model for unsupervised image segmentation.
.- Address Classification in E commerce Logistics Using Federated Learning.