Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
IEEE

A Deep Learning Approach for Dealing with Tabular Data in Crop Yield Prediction

Abstract: This paper outlines the development of a deep learning approach for dealing with tabular data in crop yield prediction. The deep learning approach is developed based on the depthwise ...
GitHub

STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification (CVPR 2025)

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...
GitHub

spam-classification

NeuralSheild AI, an open-source, cross-platform AI spam detection engine using Logistic Regression. Actively protecting Email, SMS, Telegram, and Instagram. Join us in building a safer internet. The ...
IEEE

Human and AI Written Text Detection Using Deep Learning and Machine Learning

Abstract: This research investigates classifying human and AI-generated text, which is crucial in this era of AI technology and the evolution of large language models (LLMs). This highlights a ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...