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A decomposition hybrid structure learning algorithm for Bayesian network using expert knowledge
Decomposition hybrid structure learning algorithms (DHSLAs), which combine the idea of divide and conquer with hybrid algorithms to reduce the...
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E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation
Glaucoma is a serious eye disease and glaucoma optic disc hemorrhage (GODH) is an important diagnostic indicator for glaucoma. Deep-learning-based...
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Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System
The increasing complexity of industrial production systems is challenging employees on the shop-floor in their daily work. Specific knowledge about...
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A multi-label learning prediction model for heart failure in patients with atrial fibrillation based on expert knowledge of disease duration
Patients with atrial fibrillation (AF) are prone to complications such as heart failure with preserved ejection fraction (HFpEF), which accelerates...
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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 Chinese Named Entity Recognition with Disentangled Expert Knowledge
Chinese Named Entity Recognition (NER) requires model identify entity boundaries in the sentence i.e., entity segmentation, and meanwhile assign...
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A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill
Width-related defects are a common occurrence in the Hot Strip Mill process which can lead to extra processing, concessions, or scrap**. The...
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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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Feature contribution alignment with expert knowledge for artificial intelligence credit scoring
Credit assessments activities are essential for financial institutions and allow the global economy to grow. Building robust, solid and accurate...
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Expert Knowledge-Driven Clothing Matching Recommendation System
Internet shop** has become a major consumer channel, but the lack of professional knowledge in clothing matching and the inability to try on...
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Group decision-making with Fermatean fuzzy soft expert knowledge
With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production...
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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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Understanding Expert Knowledge for Chinese Essay Grading
Essay grading is an important issue in natural language processing. There are two challenges for Chinese essay grading, namely the subjectivity of...
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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...
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Representation of Expert Knowledge on Product Design Problems Using Fuzzy Cognitive Maps
An increasing number of companies are seeking to integrate design as a strategic capability to address contemporary business and societal challenges....
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Improving Understandability of Explanations with a Usage of Expert Knowledge
Data analysis is one of the most important parts of data mining and machine learning tasks. In recent years, explainable artificial intelligence...
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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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Multi-label Detection Method for Smart Contract Vulnerabilities Based on Expert Knowledge and Pre-training Technology
Since the establishment of the global decentralized application platform Ethereum in 2015, decentralized applications based on smart contracts have...
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Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge
AbstractEvaluative knowledge of an object domain can be represented not only as an objective (statistical) probability, but also as a subjective...
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Smart Expert Debriefing
Angesichts des demografischen Wandels, im Speziellen des Ausscheidens der Babyboomer-Generation in den Altersruhestand, nimmt die Sicherung des...