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Case-Based Expert Systems
In this chapter we will introduce case-based expert systems, an example of the artificial intelligence branch of our Autonomous Learning taxonomy.... -
Designing Expert-Augmented Clinical Decision Support Systems to Predict Mortality Risk in ICUs
One of the most critical infrastructures during the COVID-19 pandemic are intensive care units (ICU). ICU’s crucial task is to preserve the lives of...
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Modern Architectures of Intelligent Tutoring Systems Based on Integrated Expert Systems: Features of the Approach to the Automated Formation of the Ontological Space of Knowledge and Skills of Students
AbstractThe features of the main types of architectures of modern intelligent tutoring systems are analyzed. Special attention is paid to intelligent...
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Enhancing Circular Economy Using Expert Systems
An important measure of the success of the expert system’s implementation is its users’ acceptance. An expert system doesn’t have to provide very... -
Rule-Based Expert Systems
A rule-based expert system is the most elementary form of AI, and it uses predetermined sets of steps to find an answer to a problem. The goal of an... -
Catala: Moving towards the future of legal expert systems
Around the world, private and public organizations use software called legal expert systems to compute taxes. This software must comply with the laws...
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Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory
This paper aims to understand how science and technology experts working in the digital mental health field interpret the ethical and social...
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Trusting Intelligent Automation in Expert Work: Accounting Practitioners’ Experiences and Perceptions
AI-based applications are increasingly used in knowledge-intensive expert work, which has led to a discussion regarding their trustworthiness, i.e.,...
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Database and Expert Systems Applications 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I
The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert... -
Database and Expert Systems Applications 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II
The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert... -
Model Explainability for Rule-Based Expert Systems
Rule-based systems are relatively easier to explain to end users because rules can be expressed as if/else conditions. Indeed, at times there are... -
SSR-TA: Sequence-to-Sequence-based expert recurrent recommendation for ticket automation
Ticket automation plays a crucial role in ensuring the normal operation of IT software systems. One of the key tasks of ticket automation is to...
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Behavioral biometrics to detect fake expert profiles during negotiation
Faced with the terrible spread of electronic attacks and intrusions, which tend to increase, securing computer systems has become an urgent necessity...
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Non-expert Level Analysis of Self-adaptive Systems
Self-adaptivity is mainly used to address uncertainties, unpredicted events, as well as to automate administration tasks. It allows systems to change... -
Complementary expert balanced learning for long-tail cross-modal retrieval
Cross-modal retrieval aims to project the high-dimensional cross-model data to a common low-dimensional space. Previous work relies on balanced...
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Continued usage intention of novice and expert players in social network games
Nowadays, social network game platforms have gathered a large number of young players. This study adopted a technological–personal–environmental...
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Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning
As one of the most fundamental topics in reinforcement learning (RL), sample efficiency is essential to the deployment of deep RL algorithms. Unlike...
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Expert demonstrations guide reward decomposition for multi-agent cooperation
Humans are able to achieve good teamwork through collaboration, since the contributions of the actions from human team members are properly...
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The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels
Most of us are not experts in specific fields, such as ornithology. Nonetheless, we do have general image and language understanding capabilities...
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Brake Maintenance Diagnostic with Fuzzy-Bayesian Expert System
Brakes, one of a vehicle’s most crucial safety systems, are necessary to ensure safety. They are our primary protection mechanism while driving a car...