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Parsimonious consensus hierarchies, partitions and fuzzy partitioning of a set of hierarchies
Methodology is described for fitting a fuzzy partition and a parsimonious consensus hierarchy (ultrametric matrix) to a set of hierarchies of the...
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Domain object hierarchies inducing multi-level models
Conceptual modeling of domain object hierarchies, such as product hierarchies or organization hierarchies, is difficult due to the intricate nature...
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Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification
Real-world data of multi-class classification tasks often show complex data characteristics that lead to a reduced classification performance. Major...
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Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
Fact checking is an essential challenge when combating fake news. Identifying documents that agree or disagree with a particular statement (claim) is...
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Regular Memory Structures and Operation Domains of Intelligent Systems
AbstractThe concept of a regular memory area for an intelligent system (IS) is considered. The formalized description of the memory of a separate IS...
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Visualization of Tree-Structured Data Using Web Service Composition
This article reiterates on the recently presented hierarchy visualization service HiViSer and its API [51]. It illustrates its decomposition into...
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Learn class hierarchy using convolutional neural networks
A large amount of research on Convolutional Neural Networks (CNN) has focused on flat Classification in the multi-class domain. In the real world,...
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An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents
This paper presents the use of description logics (DL) in the definition and development of a Structured Query Language (SQL) domain ontology for a...
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Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to unseen ones so that the latter can be recognised without any training...
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Robust and scalable content-and-structure indexing
Frequent queries on semi-structured hierarchical data are Content-and-Structure (CAS) queries that filter data items based on their location in the...
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SLHCat: Map** Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features
Wikipedia articles are hierarchically organized through categories and lists, providing one of the most comprehensive and universal taxonomy, but its...
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On Hyperbolic Embeddings in Object Detection
Object detection, for the most part, has been formulated in the euclidean space, where euclidean or spherical geodesic distances measure the...
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Design of a data storage and retrieval ontology for the efficient integration of information in artificial intelligence systems
This article proposes an innovative approach to designing an ontology for data storage and retrieval, effectively integrating information into...
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User Study on a Multi-view Environment to Identify Differences Between Biological Taxonomies
The classification of living organisms is essential to understand biodiversity and, therefore, to support its conservation. The taxonomic system...
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Multimodal diagnosis of Alzheimer’s disease based on volumetric and cognitive assessments
Alzheimer’s Disease (AD) is the most prevalent form of dementia, severely impacting memory functions. Early classification of AD patients,...
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Working with Interfaces
This chapter builds upon your current understanding of object-oriented development by examining the topic of interface-based programming. Here, you...
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Fine-grained cybersecurity entity ty** based on multimodal representation learning
Fine-grained entity ty** is crucial to improving the efficiency of research in the field of cybersecurity. However, modality limitations and...
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Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset
A new hierarchically organised dataset for artificial intelligence and machine learning research is presented, focusing on intelligent management of...
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Hierarchical Text Classification Using Language Models with Global Label-Wise Attention Mechanisms
Hierarchical text classification (HTC) is a natural language processing task with the objective of categorising text documents into a set of classes...
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CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection
ContextCode smell detection is the process of identifying poorly designed and implemented code pieces. Machine learning-based approaches require...
