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📚 Document Clustering

Similarity Metrics, Content Analysis, Semantic Grouping, Archive Organization

Digital Forensics Round-Up, June 25 2025
forensicfocus.com·18h
🔬Archive Forensics
10 Essential Machine Learning Key Terms Explained - MachineLearningMastery.com
machinelearningmastery.com·15h
🧠Machine Learning
A Briefing on Logistic Regression
blog.engora.com·20h·
Discuss: Hacker News
🧠Machine Learning
What are memories made of? A survey of neuroscientists
journals.plos.org·5h·
Discuss: Hacker News
🧲Magnetic Domains
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·1d·
Discuss: Hacker News
📲Digitization
Show HN: Anagnorisis, local data-management with trainable recommendation engine
github.com·9h·
Discuss: Hacker News
🤖Archive Automation
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·4h
📏Linear Logic
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
arxiv.org·2d
📜Digital Philology
The Impact of the Russia-Ukraine Conflict on the Cloud Computing Risk Landscape
arxiv.org·4h
🖥️Self-hosted Infrastructure
Scraping Negative Walmart Reviews to Detect Product Gaps
dev.to·23h·
Discuss: DEV
📈Search Quality
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
arxiv.org·1d
🤖Advanced OCR
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
arxiv.org·4h
🧠Machine Learning
A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
arxiv.org·4h
✅Format Verification
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
arxiv.org·2d
🧠Machine Learning
Batch Processing Multiple Readings: Get Ahead of Your Weekly Assignments
dev.to·1d·
Discuss: DEV
🔬Academic Search
How to Write a Software Project Proposal: Complete Template & Guide
dev.to·2h·
Discuss: DEV
🦋Format Metamorphosis
Machine Learning Fundamentals: active learning project
dev.to·17h·
Discuss: DEV
🧠Machine Learning
Unveiling Insights: 18 Essential Resources for Exploratory Data Analysis (EDA)
dev.to·1d·
Discuss: DEV
⛏️Archive Mining
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·1d
🎛️Feed Filtering
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·4h
💻Local LLMs
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