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Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence
Approximately 30% of all traffic fatalities in the United States are attributed to alcohol-impaired driving.
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead
However, most of the content is unstructured and is not understandable by machines.
Predicting Users' Value Changes by the Friends' Influence from Social Media Usage
By using SVR with the best hyperparameters of BCM model, we find the lowest Mean Squared Error (MSE) score 0. 00347.
RAIDER: Reinforcement-aided Spear Phishing Detector
RAIDER also keeps the number of features to a minimum by selecting only the significant features to represent phishing emails and detect spear-phishing attacks.
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation
Incredible research and publications have been conducted on energy disaggregation, non-intrusive load monitoring, home energy management and appliance classification.
Explainable Artificial Intelligence Approaches: A Survey
The lack of explainability of a decision from an Artificial Intelligence (AI) based "black box" system/model, despite its superiority in many real-world applications, is a key stumbling block for adopting AI in many high stakes applications of different domain or industry.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
