IJAR Special Issue 2020 : Special Issue on Knowledge Enhanced Data Analytics for Autonomous Decision Making

We are seeking both conceptual and empirical papers offering new insights and contribution to the development of data analytic algorithms and systems for autonomous decision-making, which focus on the following topics (but are not limited to) which demonstrate the role of exploiting the knowledge to enhance data analytics:

• Application that have limited data;

• Applications require safety or stability guarantees;

• Applications while large amounts of quality training data are unavailable;

• Application while the objects to be recognized are complex, (e.g., implicit entities and highly subjective content);

• Applications need to use complementary or related data in multiple modalities/media;

• Enhancing the capability in handling uncertainty;

• Enhancing transparency, interpretability and explainability;

• Reducing the complexity of model architecture in time and space;

• Enhancing the capability to avoid social discrimination and unfair treatment;

• Enhancing automated decision making capability and performance;

• Enhancing reliability and integrity of data analytics.