Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

Abstract: Vehicle-road collaboration is an effective means of improving perception capacities and enhancing safety of intelligent connected vehicles (ICVs). A larger volume of perception data ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Abstract: This paper introduces fProcessor, a tool designed for nonintrusive, on-the-fly preprocessing of data being written to files. “Nonintrusive” means that fProcessor requires no modifications to ...

ABSTRACT: Mental disorders, including depression, bipolar disorder, and mood disorders, affect millions of individuals worldwide, significantly impacting their quality of life. Early and accurate ...

During the model training process (I am referring to the process that includes generating synthetic data and involves backpropagation), when preprocessing features, the training samples are used to ...