Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Defining similarity measures is a requirement for some machine learning methods. One
such method is case-based reasoning (CBR) where the similarity measure is used to …

Neural network architectures for case adaptation in case-based reasoning (CBR) have
received considerable attention. However, architectural gaps and general questions remain …

Signatures are popularly used as a method of personal identification and confirmation. Many
certificates such as bank checks and legal activities need signature verification. Verifying the …

Automatic fuzzy text processing, context extraction and disambiguation are three
challenging research areas with high relevance to complex business domains. Business …

Recommender systems play an important role in e-commerce websites as they improve the
customer journey by helping the users find what they want at the right moment. In this paper …

Case-based classification is normally based on similarity between a query and class
members in the case base. This paper proposes a difference-based approach, class-to …

Case-based reasoning (CBR) research has developed numerous methods for learning to
improve case retrieval and adaptation knowledge. Learning for each type of knowledge is …

The quality of case retrieval in case-based reasoning (CBR) systems depends on assigning
appropriate case indices. Defining feature vocabularies for indexing is an important …

Integrations of case-based reasoning (CBR) with neural approaches are appealing because
of their complimentary characteristics. This chapter presents research on neuro-symbolic …