Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
A leakage-aware machine-learning pipeline used 17 of 30 questionnaire items to reproduce AI proficiency categories for 600 ...
Fine-tuning the TerraMind Earth Observation foundation model for water segmentation using Sentinel-1 SAR imagery. - Sina-Mohammadi/terramind-sentinel1-water-segmentation ...
This project develops and evaluates machine learning models to predict passenger survival aboard the RMS Titanic using the Kaggle Titanic: Machine Learning from Disaster dataset. The project follows ...
Neural networks are called "black boxes." This means that while you get an answer when you input data, you cannot see what is happening inside.However, you can peek inside smaller networks. What is a ...
When you minimize loss using gradient descent, you are actually constantly negotiating with the limits of the information that can be estimated from observed data. The act of deciding the batch size ...
Veovesna SLM is an experimental Indonesian-language small language model built from scratch using a custom decoder-only Transformer architecture in PyTorch. The released checkpoint is Run B-Control, ...
A benchmark for temporal reasoning over patient timelines: given a question about when something happened in one patient's record, retrieve the passages that support the correct answer rather than ...
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