Academic Articles & Research Papers

Cybersecurity

This book examines the legal and policy aspects of cyber-security. It takes a much needed look at cyber-security from a geopolitical perspective. Through this lens, it seeks to broaden the reader's understanding of the legal and political c...

Accountants, Cybersecurity Isn't Just for “Techies”: Incorporating Cybersecurity into the Accounting Curriculum

ABSTRACT In today's business world, it is essential that accountants be concerned about cybersecurity in their organizations and in the work they perform. Despite increasing importance as well as regulatory and professional emphasis, most a...

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...

Botching Human Factors in Cybersecurity in Business Organizations

Abstract Human factors remained unexplored and underappreciated in information security. The mounting cyber-attacks, data breaches, and ransomware attacks are a result of human-enabled errors, in fact, 95% of all cyber incidents are human-e...

Cybersecurity

"This book is the first of its kind to introduce the integration of ethics, laws, risks, and policies in cyberspace. The book will advance understanding of the ethical and legal aspects of cyberspace followed by the risks involved along wit...

INTERNATIONAL CYBERSECURITY EXPERIENCE AND CYBERSECURITY MODELS

In the article, the authors explore the state's capabilities in cybersecurity issues directly related to foreign national security experience. The mechanisms of public administration will be considered in order to improve cybersecurity in t...

UCO: A Unified Cybersecurity Ontology

In this paper we describe the Unified Cybersecurity Ontology (UCO) that is intended to support information integration and cyber situational awareness in cybersecurity systems. The ontology incorporates and integrates heterogeneous data and...

Cybersecurity as praxis and as a state: The EU law path towards acknowledgement of a new right to cybersecurity?

The end of the second decade of the 21st century has been the best of times for EU's cybersecurity law and policy: Its NIS Directive has been transposed into all Member States’ national law, creating a new administrative structure at EU and...

Natural language processing

Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...

Lexicography and natural language processing

The chapter introduces links between lexicography and natural language processing in both directions. First, how the lexicographic work benefits from techniques of natural language processing such as word sense disambiguation, semantic simi...

Learner corpora and natural language processing

New trends in natural language processing: statistical natural language processing.

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...

Part-of-speech tagging with neural networks

Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net- Tagger) is presented and its performance is com...

Pattern Recognition with Neural Networks in C++

From the Publisher: The addition of artificial neural network computing to traditionalpattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical gui...

Heterogeneous Graph Neural Network

Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...

Neural Networks for Postprocessing Ensemble Weather Forecasts

Abstract Ensemble weather predictions require statistical postprocessing of systematic errors to obtain reliable and accurate probabilistic forecasts. Traditionally, this is accomplished with distributional regression models in which the pa...

Neural networks in the capital markets

PART ONE: NEURAL NETWORKS: Introduction Design Considerations Methods for Optimal Network Design Data Modelling Considerations Testing Strategies and Metrics PART TWO: EQUITY APPLICATIONS: Modelling Stock Returns in the Framework of APT: A ...

Hypergraph Neural Networks

In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for comp...

Applications of Neural Networks in Electromagnetics

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

ARTIFICIAL INTELLIGENCE AND THE LIMITS OF LEGAL PERSONALITY

Abstract As artificial intelligence (AI) systems become more sophisticated and play a larger role in society, arguments that they should have some form of legal personality gain credence. The arguments are typically framed in instrumental t...