Explainable Artificial Intelligence

Responsible Software Systems with Emotional Intelligence

In the era of advanced artificial intelligence, the integration of emotional intelligence into AI systems has become crucial for developing Responsible Software Systems that are not only functional but also emotionally perceptive. The Microe dataset, a pioneering compilation focusing on micro-expressions, aims to revolutionize AI systems by enhancing their capability to recognize and interpret subtle emotional cues. This dataset encompasses over eight classes of common emotions, meticulously captured and categorized to aid in the synthesis and recognition of micro-expressions.

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Artificial Intelligence
Education and Learning Technologies
Machine Learning
Image Fusion
Image Processing
Submitted On: 
Sun, 06/30/2024 - 11:23
Last Updated On: 
Tue, 07/16/2024 - 11:30

XAI Evaluation Multivariate Time Series Dataset

This data repository comprises three distinct datasets tailored for different predictive modeling tasks. The first dataset is a synthetic dataset designed to simulate multivariate time series patterns, incorporating both linear and non-linear dependencies among input and target features. The second dataset, the Beijing Air Quality PM2.5 dataset, consists of PM2.5 measurements alongside meteorological data like temperature, humidity, and wind speed, with the objective of predicting PM2.5 concentrations.

Categories:
Artificial Intelligence
IoT
Machine Learning
Sensors
Climate Change/Environmental
Pollution
Weather
328 Views

A case base of eXplainable Artificial Intelligence of the Things (XAIoT) systems

The increasing complexity of intelligent systems in the Internet of Things (IoT) domain makes it essential to explain their behavior and decision-making processes to users. However, selecting an appropriate explanation method for a particular intelligent system in this domain can be challenging, given the diverse range of available XAI (eXplainable Artificial Intelligence) methods and the heterogeneity of IoT applications. This dataset is a case base elicited from an exhaustive literature review on existing explanation solutions of AIoT (Artificial Intelligence of the Things) systems.

Categories:
Agriculture
Artificial Intelligence
262 Views