Classification coverage.

U.S. FDA issues VAI classification to Granules arm Virginia facility

U.S. FDA classifies Granules Pharmaceuticals' Virginia facility with VAI status, indicating found issues but no immediate regulatory action.…

LLM as Router: Intent Classification for a Local Telegram Email Agent

In the first article, I showed the whole Llamail system: Gmail, Telegram, n8n, FastAPI, llama.cpp,...…

Day 5 — Entering the World of Classification

Today I started Week 3 of the Machine Learning Specialization and learned about...…

Effect of Demographic Bias on Skin Lesion Classification

In this study, we evaluate the performance of skin lesion classification using ResNet-based convolutional models, focusing on the impact of demographic bias in training data, parti…

[Reflexión · — A —] Field Note 004: A Taxonomic Analysis of My Artificial Colleagues Department of Digital Species — Internal Classification "The Archive documents all specimens. Including the ones it uses."

When Does Synthetic Patent Data Help? Volume-Fidelity Trade-offs in Low-Resource Multi-Label Classification

We study when LLM-generated synthetic data helps low-resource multi-label patent classification, separating true synthetic value from the confound that larger augmented sets can wi…

Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models

Speech monologues recorded in naturalistic settings provide opportunities to characterize mental illness phenomenology and detect symptom exacerbation. Large language models (LLMs)…

Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules

Automated sleep staging is commonly approached as a supervised machine learning problem, with deep learning methods dominating recent research. While machine learning models achiev…

Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025

Generative augmentation is often proposed as a remedy for small medical-image datasets, but synthetic images are only useful when they improve downstream task performance. "Augment…

Real-time video classification with PaliGemma: architecture patterns for low-latency VLM inference

In a previous article, we benchmarked three open-source Vision-Language Models on zero-shot object...…

NotebookLM Automation With notebooklm-py: Useful, But Classify Data First

Originally published on TechSaaS Cloud Originally published on TechSaaS Cloud ...…

Lazard shareholders approve board declassification and bylaw changes

Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System

Organizations that scan documents for sensitive information face a practical problem. Cloud services require data to be sent to external infrastructure, while rule-based tools ofte…

A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery

COVID-19 was a significant challenge that led to the loss of numerous lives daily. Not only a certain country was involved in this outbreak, but even the world has suffered because…

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement

Interpretable text representations should expose coordinates that are not only predictive, but also meaningful enough for independent auditors to apply. Existing discriminative rep…

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

Strategic classification(SC) studies the interaction between decision models and agents who strategically manipulate their features for favorable outcomes. Existing SC frameworks t…

A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification

Multi-view learning has been widely applied for sleep stage classification using multi-modal data. However, existing methods typically assume that different modalities are well-ali…

Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification

Electrocardiogram (ECG) diagnosis in clinical practice relies on structured reasoning over multiple hierarchical aspects, including cardiac rhythm, conduction properties, waveform …

Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments

The use of large language models to assess user states in conversational and adaptive systems is based on the assumption that the metrics used for such assessment are stable and in…

TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices

Under the trend of multi-waveform coexistence in 6G IoT, intelligent receivers must first identify physical-layer waveform types before performing correct demodulation and resource…

Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning

Rapid and accurate wildfire smoke severity assessment from satellite images is essential for emergency response, air quality modeling, and human health risk management. Existing de…

Environment Classification & Architecture: How to Design Your Offline Environment Strategy

One of the most overlooked aspects of DevOps is environment design. Teams often end up with either...…

Dev.to: We had AI pitching our customers' aunts. Here's the three-axis classification fix.

The bug report A customer wrote in: Why is the tool drafting a SaaS sales pitch to my...…