Neuroimaging presents us with an in-depth understanding about brain structure and function, yet the data complexity poses significant analytical challenges. Current frameworks suffer from issues such ...
In the field of data analysis, there is a persistent problem: "preprocessing takes more time than analysis." Tableau Prep is a tool that can streamline and automate this "tedious data preparation." ...
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 ...
Abstract: The development of online education has brought about a massive amount of online learning behavior data. How to fully utilize and analyze these data is a research hotspot of concern in ...
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 ...
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 focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...
ABSTRACT: Mental disorders, including depression, bipolar disorder, and mood disorders, affect millions of individuals worldwide, significantly impacting their quality of life. Early and accurate ...
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