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Automatic generation of incremental taxonomies for supporting the users in the development of an RPA project
The robotic process automation (RPA) paradigm is a discipline that is becoming increasingly popular thanks to the great interest shown by the...
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Cryptoasset Taxonomies
Note this book’s recurrent use of the word cryptoasset rather than the more common cryptocurrency. This distinction is purposeful, as cryptoassets...
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Dynamic resource allocation in cloud computing: analysis and taxonomies
In recent years, companies have used the cloud computing paradigm to run various computing and storage workloads. The cloud offers faster and more...
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Common Graph Representation of Different XBRL Taxonomies
Information nowadays plays a critical role in our lives, and its misinterpretation or lack of data, makes decisions wrong. It is important to...
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Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection
The need to secure Internet applications on global networks has become an important task due to the ever-increasing cybercrimes. A common technique...
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Building Correct Taxonomies with a Well-Founded Graph Grammar
Taxonomies play a central role in conceptual domain modeling having a direct impact in areas such as knowledge representation, ontology engineering,...
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Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions
With the support of advanced hardware and software technology, Artificial Intelligence (AI) techniques, especially the increasing number of deep...
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On Shapley value interpretability in concept-based learning with formal concept analysis
We propose the usage of two power indices from cooperative game theory and public choice theory for ranking attributes of closed sets, namely intents...
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Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care
The paper focuses on enhancing the understanding of treatment processes, particularly in healthcare, through process visualization. Healthcare...
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Revisiting Visualization Task Taxonomies: Specifying Functions for the Data Transformations Stage
Several visualization task taxonomies have been defined in the literature, taking into account several factors, such as the user’s goals when...
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Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review
Despite the advances in modern medicine, the use of data-driven technologies (DDTs) to prevent surgical site infections (SSIs) remains a major...
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A Classification of Software-Architectural Uncertainty Regarding Confidentiality
In our connected world, ensuring and demonstrating the confidentiality of exchanged data becomes increasingly critical for software systems. However,...
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Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains and has greatly benefited our lives. While AI can...
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Extending Boolean Variability Relationship Extraction to Multi-valued Software Descriptions
Extracting variability information from software product descriptions is crucial when reverse engineering a software product line, e.g., for...
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Tabular and latent space synthetic data generation: a literature review
The generation of synthetic data can be used for anonymization, regularization, oversampling, semi-supervised learning, self-supervised learning, and...
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X-Mark: a benchmark for node-attributed community discovery algorithms
Grou** well-connected nodes that also result in label-homogeneous clusters is a task often known as attribute-aware community discovery. While...
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A state-of-the-art review on adversarial machine learning in image classification
Computer vision applications like traffic monitoring, security checks, self-driving cars, medical imaging, etc., rely heavily on machine learning...
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Deep Convolutional Neural Network for Knowledge-Infused Text Classification
Deep neural networks are extensively used in text mining and Natural Language Processing is to enable computers to understand, analyze, and generate...
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Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each...
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Attribute susceptibility and entropy based data anonymization to improve users community privacy and utility in publishing data
User attributes affect community (i.e., a group of people with some common properties/attributes) privacy in users’ data publishing because some...
