The New York Times

Homeland Security Tells Watchdog It Hasn’t Kept Text Message Data Since April

The agency’s response to public records requests indicated potential violations of federal records laws, experts said. By Minho Kim Reporting from Washington The Department of Homeland Security ...
Frontiers

A deep learning-based data augmentation method for marine mammal call signals

1 School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China 2 Shandong Key Laboratory of Deep Sea Equipment Intelligent Networking, Qingdao, Shandong, ...
GitHub

Revisiting Deep Learning Models for Tabular Data (NeurIPS 2021)

In one sentence: MLP-like models are still good baselines, and FT-Transformer is a new powerful adaptation of the Transformer architecture for tabular data problems.
GitHub

tabular-deep-learning

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as ...
Frontiers

Deep learning and explainable AI for classification of potato leaf diseases

The accurate classification of potato leaf diseases plays a pivotal role in ensuring the health and productivity of crops. This study presents a unified approach for addressing this challenge by ...
IEEE

Transfer Learning of Tabular Data by Finetuning Large Language Models

Abstract: Despite the artificial intelligence (AI) revolution, deep learning has yet to achieve much success with tabular data due to heterogeneous feature space and limited sample sizes without ...
IEEE

A Deep Learning Approach for Dealing with Tabular Data in Crop Classification

Abstract: This paper presents the development of a deep learning approach for dealing with tabular data in crop classification. The input features are processed by slicing them and then transformed to ...