Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Abstract: The analysis of transaction data is often impeded by challenges such as noise, inconsistencies, high dimensionality, and missing values, which obscure valuable insights. Existing ...

This repository is a replication-focused adaptation of the EMNLP 2023 model for multimodal aphasia type detection, configured for a custom AphasiaBank-derived corpus.

A robust Python toolkit for converting femur segmentation masks (NIfTI format) into high-quality, watertight 3D meshes with automatic cropping, quality filtering, and left/right separation.

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...