Machine Learning

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Scoured 295 posts in 7.6 ms

sarveshrv07-arch/AegisHive-Swarm-Robotics-System-for-Disaster-Response: AegisHive is a programming-based virtual rescue robotics project developed using basic concepts of mechatronics, IoT, and machine learning to simulate how multiple robots can work together during disaster response operations.

 📊Data Science  Content type: Code

SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal

 🤖AI  Content type: Academic
arxiv.org·

Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning

 📊Data Science  Content type: Academic
biorxiv.org·

Nonparametric undirected graphical model selection using diffusion models

 📊Data Science  Content type: Academic
arxiv.org·

docs: document model selection helpers

 💬Natural Language Processing  Content type: Code
github.com
·

Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Improving the Accuracy of Forensic Age Estimation Through Bias Reduction

 📊Data Science  Content type: Academic
biorxiv.org·

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

 🎯Reinforcement Learning  Content type: Academic
arxiv.org·

docs: document model selection reconciliation · openclaw/openclaw@9bc7712

 📝Neovim  Content type: Code
github.com·

Model Selection for SLOPE Models: A Bayesian Perspective

 🎯Reinforcement Learning  Content type: Academic
arxiv.org·

make descriptions shorter · vinta/awesome-python@9f156de

 📊Data Science  Content type: Code
github.com·

A machine-learning-assisted progressive digit-randomness screening framework for detecting non-random patterns in raw numerical research data

 📊Data Science  Content type: Academic
arxiv.org·

Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution

 🗣️LLMs  Content type: Academic
arxiv.org·

Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying

 💬Prompt Engineering  Content type: Academic
arxiv.org·

docs: document model selection tests · openclaw/openclaw@4653454

 📝Neovim  Content type: Code
github.com·

FDM: A Framework for Decision-making to build ML-based Malware detection systems

 💬Prompt Engineering  Content type: Academic
arxiv.org·

docs: document model tool helpers · openclaw/openclaw@48557ce

 📝Neovim  Content type: Code
github.com·

Securing Self-supervised Data Curation for Foundation Models Robustness

 🗣️LLMs  Content type: Academic
arxiv.org·

Are We Lost in the Woods? Detecting Silent Semantic Faults for Random Forest Classifiers with Data-informed Static Analysis

 💬Natural Language Processing  Content type: Academic
arxiv.org·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

 🤖AI  Content type: Code
github.com·
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