IEEE

Robust Multimodal Sentiment Analysis Based on Adaptive Information Distillation and Adversarial Learning

Abstract: Multimodal sentiment analysis (MSA) has exhibited superior performance compared to unimodal sentiment analysis. However, in real-world scenarios, multimodal data are prone to being ...
UC San Diego Today

A UC San Diego Tool Teaching Code to 25 Million is Even More Critical in Age of AI

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...
IEEE

An Active Learning-Based Alternative Reinforcement Contextual Information Fusion Model for Multimodal Sentiment Analysis

Abstract: Multimodal Sentiment Analysis (MSA) combines data from multiple modalities to accurately interpret human emotional states. Despite recent advancements, deep learning-based MSA models ...
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
GitHub

IBM HR Analytics — Employee Attrition Analysis

🔴 Top 3 Attrition Risk Factors: 1. Overtime is the #1 driver Employees working overtime leave at 30.53% vs 10.44% for those who don't — nearly 3x the rate. Reducing mandatory overtime could have an ...