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Gender bias in word embedding algorithms has garnered significant attention due to its integration into machine learning systems and its potential to reinforce stereotypes. Despite ongoing efforts, the root causes of biases in training word ...

Artificial Intelligence (AI) represents a collection of tools and methodologies that have the potential to revolutionise various aspects of human activity. Earth observation (EO) data, including satellite and in-situ, are essential in a number of ...

• Bridging European AI & Earth Observation communities for data-intensive innovation.
• Provisioning of AI services and tools for the bootstrap of EO applications by SMEs.
• Showcasing our framework’s effectiveness in several diverse ...

New machine learning methods and techniques are frequently introduced in radiomics, but they are often tested on a single dataset, which makes it challenging to assess their true benefit. Currently, there is a lack of a larger, ...

• New methods are introduced in radiomics, but often not properly benchmarked.
• We collected 50 radiomics dataset in tabular form and with binary outcome.
• We illustrate its use by showing that decorrelating features has no large ...

This article addresses the pressing issue of algorithmic discrimination, emerging from the increasing use of AI-assisted decision-making systems. These systems, driven by substantial data and artificial intelligence, profoundly influence individual ...

Adapting applications to optimally utilize available hardware is no mean feat: the plethora of choices for optimization techniques are infeasible to maximize manually. To this end, auto-tuning frameworks are used to automate this task, which in ...

• Optimization algorithm performance in auto-tuning research is infeasible to compare.
• We propose a community-driven methodology for standardized comparison on elapsed time.
• This includes novel methods for comparison using an ...

This study suggests a method to analyze, theorize, and conceptualize public participation in policymaking. Participation is a fundamental component of democracy and is derived from the right to actualize the public's sovereignty by participating ...

• Public consultations on Net Neutrality in both the US and Israel kept the public away from the decision-making process.
• Assessing participation in policymaking poses methodological difficulties and tends to normatively subjective value ...

In a world where many activities are carried out digitally, it is increasingly urgent to be able to formally represent the norms, policies, and contracts that regulate these activities in order to make them understandable and processable by ...

Cybersecurity has become important, especially during the last decade. The significant growth of information technologies, internet of things, and digitalization in general, increased the interest in cybersecurity professionals significantly. While the ...

The integration of Augmented Reality (AR) and Artificial Intelligence (AI) in the field of security has proven to be a game-changer, enhancing the operational capabilities of agents. Nevertheless, their adoption in field operations depends on ...

The application of Topology Optimisation (TO) to help in the manufacture of metallic components in highly technological industries has increased recently. To equally benefit from TO, the construction industry must address its specific issues, such ...

Despite the increasing popularity and research focus on the application of artificial intelligence (AI) in entrepreneurship, no comprehensive bibliometric analysis of relevant papers has been conducted. Our review examines 127 Scopus-indexed publications ...

We present a comparative reflection of our experiences designing and conducting ethnographic user research in understudied real-world contexts – Nigerian road traffic. We present our experiences planning and doing fieldwork to investigate and map ...

Reference Publication Year Spectroscopy (RPYS) is a method to reveal the historical roots and landmark papers of a research field based on cited references data. RPYS visualizes how frequently cited references occur in the cited reference lists of ...

Successful cyber attacks against industrial systems, such as water treatment systems, can lead to irreparable consequences for public health and the economy. Machine learning and deep learning could help detecting and forecasting previously ...

In session-based recommendation settings, a recommender system has to base its suggestions on the user interactions that are observed in an ongoing session. Since such sessions can consist of only a small set of interactions, various approaches ...

• This work presents a new approach to compensate trajectory errors.
• The results ...

Currently, the use of industrial robots in the machining of large components in metallic materials of significant hardness is proliferating. The low rigidity of industrial robots is still the main conditioning for their use in ...

Statistical controls can ensure accurate estimates of causal effects in the evaluation of alternative explanations. However, the research method literature has raised concerns about the appropriate use of control variables (CVs). In this paper, ...

The aim of this article is to review the concept of e-research and provide insight into the multidimensionality of technology-based research in educational science. First, existing theories that reflect different aspects of digital transformation in ...

In today's volatile, uncertain, and complex business environments, manufacturing companies must not only adapt to market demands but also minimize the time between problem occurrence and resolution. The implementation of lean manufacturing systems ...

Artificial intelligence (AI) is increasingly used in digital products for a wide variety of purposes like content creation, recommendation and decision making. With AI technologies designed with the intent of assisting humans becoming more common, ...