Search
Search Results
-
Case-Based Reasoning Research and Development 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings
This book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took...
-
Effect of game-based learning on educational technology Students’ performance: A case of simple repeated measures approach
The COVID-19 pandemic kick-started a new paradigm shift in the way and manner teaching and learning takes place on the global scale due to the...
-
Curling Strategy Teaching Case Design Based on Deep Reinforcement Learning
Reinforcement learning is becoming more and more important in the field of artificial intelligence. Compared with traditional supervised learning and...
-
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....
-
Certification of avionic software based on machine learning: the case for formal monotony analysis
The use of machine learning (ML) in airborne safety-critical systems requires new methods for certification, as the current standards and practices...
-
Peer pressure and web-based peer learning: an exploratory case study
This study explores whether and how peer pressure influenced students’ participation in web-based peer learning (WPL). Fifteen students enrolled in a...
-
Demystifying the challenges of university students’ web-based learning: A qualitative case study
Many studies have reported the affordances of students’ engagement in web-based learning. However, few studies have used a qualitative approach to...
-
Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images
Meningiomas have the highest incidence rate of all primary intracranial and central nervous system tumors. Accurate preoperative grading of...
-
Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation
Gossen’s First Law describes the law of diminishing marginal utility. This paper aims to further verify the proposed hypothesis that Gossen’s First...
-
Learning analytics to predict students’ performance: A case study of a neurodidactics-based collaborative learning platform
In this work, 29 features were defined and implemented to be automatically extracted and analysed in the context of NeuroK, a learning platform...
-
The effects of game quality and cognitive loads on students’ learning performance in mobile game-based learning contexts: The case of system analysis education
Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students’ learning. However,...
-
Machine learning-based predictive modeling of student counseling gratification: a case study of Aligarh Muslim University
Subject counseling may assist students in evaluating their courses and choosing the appropriate career path. This article intends to investigate,...
-
Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software
Highly-Configurable Software (HCSs) testing is usually costly, as a significant number of variants need to be tested. This becomes more problematic...
-
Enhancing students’ online collaborative PBL learning performance in the context of coauthoring-based technologies: A case of wiki technologies
Understandability and completeness are essential in modern collaborative digital platforms and their learning systems. These platforms have shaken up...
-
Case-Based Reasoning
Case-based reasoning (CBR) solves problems by retrieving similar, previously solved problems and reusing their solutions. The case base contains a...
-
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning
Supervised learning is typically challenging with insufficient amounts of labeled training data and high costs for label acquisition, creating a...
-
Case-Based Task Generalization in Model-Based Reinforcement Learning
Model-based reinforcement learning has recently demonstrated significant advances in solving complex problems of sequential decision-making. Updating...
-
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
The lack of interpretability of Deep Learning models hinders their deployment in clinical contexts. Case-based explanations can be used to justify...
-
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt
Prediction and classification of diseases are essential in medical science, as it attempts to immune the spread of the disease and discover the...
-
Algorithm selection using edge ML and case-based reasoning
In practical data mining, a wide range of classification algorithms is employed for prediction tasks. However, selecting the best algorithm poses a...
