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Explainable AI for Financial Forecasting

2022
One of the most important steps when employing machine learning approaches is the feature engineering process. It plays a key role in the identification of features that can effectively help modeling the given classification or regression task. This process is usually not trivial and it might lead to the development of handcrafted features.
Salvatore Carta   +3 more
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Explaining Explanation For “Explainable Ai”

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2018
What makes for an explanation of “black box” AI systems such as Deep Nets? We reviewed the pertinent literatures on explanation and derived key ideas. This set the stage for our empirical inquiries, which include conceptual cognitive modeling, the analysis of a corpus of cases of "naturalistic explanation" of computational systems, computational ...
Robert R. Hoffman   +2 more
openaire   +1 more source

AI, explain yourself

Communications of the ACM, 2018
It is increasingly important to understand how artificial intelligence comes to a decision.
openaire   +1 more source

Choose for AI and for Explainability

2020
As an expert in decision support systems development, I have been promoting transparency and self-explanatory systems to close the plan-do-check-act cycle. AI adoption has tripled in 2018, moving AI towards the Gartner-hype-cycle peak. As AI is getting more mainstream, more conservative companies have good reasons to enter this arena.
openaire   +1 more source

Explainable AI for Healthcare

With rapid advancements in artificial intelligence (AI), ranging from traditional machine learning techniques to sophisticated deep learning models, its integration into healthcare systems has accelerated significantly. These developments enable AI to assist in various critical healthcare applications, such as disease diagnosis, treatment planning ...
Yupei, Li   +3 more
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Visualization for AI Explainability

IEEE Computer Graphics and Applications, 2022
L. Miguel Encarnação   +2 more
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Chess and explainable AI

ICGA Journal
Chess, once famously referred to as the drosophila of artificial intelligence (AI) research, has been a significant domain for developing intelligent AI agents capable of achieving super-human performance in domains previously dominated by humans. However, the emphasis on unceasingly improved playing strength has come at the cost of neglecting other ...
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Explaining explainable AI

2023
Richard Zuroff, Nicolas Chapados
openaire   +1 more source

Explainable AI (XAI): Explained

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 2023
G. Pradeep Reddy, Y. V. Pavan Kumar
openaire   +1 more source

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