GitHub

MegaParse - Your Parser for every type of documents

MegaParse is a powerful and versatile parser that can handle various types of documents with ease. Whether you're dealing with text, PDFs, Powerpoint presentations, Word documents MegaParse has got ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study Scott Silvey 1 ; Jinze Liu 1 Article Authors Cited by (25) Tweetations Metrics ...
IEEE

ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis

Abstract: COVID-19 prognosis using clinical tabular data faces significant challenges due to missing values and class imbalance issues. Existing methods often overlook the complex high-order ...
Analytics Insight

PDF vs CSV Financial Data Extraction: Choosing the Right Approach

If you’re wrangling financial data, the choice between PDF and CSV formats can seriously impact your workflow. PDFs look sharp and preserve layouts, but they tr ...
GitHub

show_selected_strings.py

action "context" to know what the current selection is. This example shows how you can either retrieve string literals data ACTION_NAME = "test:show_string_using_get_chooser_data" ACTION_LABEL = "Show ...
IEEE

Gradient Boosting-Based Predictive Uncertainty Estimation for Tabular Data Using Statistical Variance and Proper Scoring Rule

Abstract: Tabular data is the most widely used data form in real-world applications, and tree-based models are suitable for it due to their model structures. In practice, it is crucial to quantify ...