Abstract: Noise in communication systems is interference factor that constrains radio modulation classification. To address the impact of interference on automatic modulation classification (AMC), we ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
1 Department of Pathology, Nihon University School of Dentistry at Matsudo, Chiba, Japan. 2 Department of Oral Pathology, Nihon University Graduate School Dentistry at Matsudo, Chiba, Japan. The ...
Why Policy-Conditioned Safety Matters? Conventional moderation models are trained on a single fixed policy. When that policy changes, the model must be retrained or replaced. gpt-oss-safeguard ...
According to OpenAI (@OpenAI), OpenAI has released GPT-OSS-Safeguard in research preview, introducing two open-weight reasoning models specifically designed for safety classification tasks. These AI ...
Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
--lineage=NAME Specify lineage (optional) --outputdir=DIR Output directory (default: creates folder next to input file) --density-xlim=N Density plot X-axis limit (default: 1400) --neighbor-xlim=N ...
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