Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
9to5Google

NotebookLM now uses Gemini 3, adds new ‘Data Tables’ output

NotebookLM is getting in a few more features before the holidays, including an upgrade to Gemini 3 and Data Tables.
GitHub

A library for generating and evaluating synthetic tabular data.

Please note: synthcity does not handle missing data and so these values must be imputed first HyperImpute can be used to do this.
Microsoft

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

Differentially private (DP) synthetic data sets are a solution for sharing data while preserving the privacy of individual data providers. Understanding the effects of utilizing DP synthetic data in ...
IEEE

A Dynamic Weighted Tabular Method for Convolutional Neural Networks

Abstract: Traditional Machine Learning (ML) models are generally preferred for classification tasks on tabular datasets, which often produce unsatisfactory results in complex tabular datasets. Recent ...
Microsoft

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
IEEE

TabLinkLLM: An LLM-Based Approach for Entity Linking in Tabular Data

Abstract: Entity linking (EL) involves identifying references to entities in source data, which can be structured or unstructured, and associating them with their respective records in a structured ...