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Visualizations in video games are one of the key elements of the user interface between the game and the players. They offer players important information about the status of the game, their surroundings, and their own character(s). Since there exist ...

This paper introduces TrpViT, a novel triple attention vision transformer that efficiently captures both local and global features. The proposed architecture tackles global information acquisition by employing three complementary attention ...

• A Triple Attention Vision Transformer captures both global and local features.
• TrpViT integrates convolution into transformer to provide induction bias.
• TrpViT compensates non-local information using multiple complementary ...

Julia has emerged as a popular programming language to develop scientific software, in part due to its flexible syntax akin to scripting languages while retaining the execution speed of a compiled language. Similar to any programming language, ...

In the canonical view of visual processing the neural representation of complex objects emerges as visual information is integrated through a set of convergent, hierarchically organized processing stages, ending in the primate inferior temporal ...

Recommender Systems (RS) are established to deal with the preferences of users to enhance their experience and interest in innumerable online applications by streamlining the stress persuaded by the reception of excessive information through the ...

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The free-text Condition data field in the is not amenable to computational processes for retrieving, aggregating and visualizing clinical studies by condition categories. This paper contributes a method for automated ...

The monograph “Strong Artificial Intelligence. On the Approaches to Superintelligence”, referenced by this paper, provides a cross-disciplinary review of Artificial General Intelligence (AGI). As an anthropomorphic direction of research, it ...

This article presents Epistemic Spatialization as a new framework for investigating the interconnected patterns of biases when identifying objects with convolutional neural networks (convnets). It draws upon Foucault’s notion of spatialized ...

Drug misuse and overdose has plagued the United States over the past decades and has severely impacted several communities and families. Often, it is difficult for drug users to get the assistance they need and thus many usage cases remain ...

The number of subscribers is increasing with every passing day, and each user requires a diverse type of service. This leads to an increased load on the network, thereby degrading the quality of service. It becomes a challenge for the operators to ...

We examine typicality—a significant phenomenon accompanying human concepts—within the framework of formal concept analysis. Our aim is to formalize the notion of typicality within this framework and thus provide an operational ...

In recent years, the research landscape of machine learning in medical imaging has changed drastically from supervised to semi-, weakly- or unsupervised methods. This is mainly due to the fact that ground-truth labels are time-consuming and ...

• ELDAE is proposed by integrating energy and label constraints.
• The energy ...

Deep auto-encoder (DAE) is one of the representative deep learning algorithms for feature extraction. However, it often shows relatively poor generalization performance to express data without considering the probability distribution ...

We study the problem of utilizing human intelligence to categorize a large number of objects. In this problem, given a category hierarchy and a set of objects, we can ask humans to check whether an object belongs to a category, and our goal is to ...

To complete tasks faster, developers often have to sacrifice the quality of the software. Such compromised practice results in the increasing burden to developers in future development. The metaphor, technical debt, describes such practice. Prior ...

Basic elements of the law, such as statuses and regulations, are embodied in natural language, and strictly depend on linguistic expressions. Hence, analyzing legal contents is a challenging task, and the legal domain is increasingly looking for ...

The main procedures of attention-deficit hyperactivity disorder (ADHD) assessment are interviews with the subject, his or her parents and teacher, observation of the subject, and self-screening questionnaires. However, these traditional medical ...

Staying aware of new approaches emerging within specific areas can be challenging for researchers who have to follow many feeds such as journals articles, authors’ papers, and other basic keyword-based matching algorithms. Hence, this paper ...

According to the five Intergovernmental Panel on Climate Change (IPCC) Assessment Reports published between 1990 and 2014, changes in the climate have had varying impacts on both society and natural systems. Climate change strategies have been created ...

Researchers' choice of metrics and criteria in evaluating recommender systems depends on what the researcher feels is popular among other researchers, or sometimes based on the objective of the research. There is no harmonized set of criteria and ...