Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

Abstract: In this paper we deal with image classification tasks using the powerful CLIP vision-language model. Our goal is to advance the classification performance using the CLIP’s image encoder, by ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...

A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.

Code for the paper: Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. Take Gia-CFSL method on the Chikusei (Source Data) and Pavia University (Target ...