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Computers, Volume 13, Issue 4

April 2024 - 25 articles

Cover Story: Transformers have emerged as a major deep-learning architecture, with their diffusion spreading over a wide population due to some popular user-friendly interfaces, and their use extending from the original NLP domain to images and other forms of data. However, their user-friendliness has not translated into an equal degree of transparency.  Transformers maintain the level of opacity typically associated with deep-learning architectures. However, efforts are underway to add explainability to the features of transformers. In this paper, a review of the current status of those efforts and their observed trends is provided. The major explainability techniques are described by adopting a taxonomy based on the component of the architecture that is exploited to explain the transformer’s results. View this paper
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Articles (25)

  • Article
  • Open Access
2 Citations
3,172 Views
15 Pages

This article provides an overview of count data and count models, explores zero inflation, introduces likelihood ratio tests, and explains how the Vuong test can be used as a model selection criterion for assessing overdispersion. The motivation of t...

  • Article
  • Open Access
2 Citations
1,703 Views
16 Pages

Problems related to privacy and security preservation are in the scope of the concerns of governments and policymakers because of their impact on fundamental rights. Users are called to act responsibly whenever they are potentially exposed to related...

  • Article
  • Open Access
2 Citations
2,317 Views
30 Pages

Temporal-Logic-Based Testing Tool Architecture for Dual-Programming Model Systems

  • Salwa Saad,
  • Etimad Fadel,
  • Ohoud Alzamzami,
  • Fathy Eassa and
  • Ahmed M. Alghamdi

Today, various applications in different domains increasingly rely on high-performance computing (HPC) to accomplish computations swiftly. Integrating one or more programming models alongside the used programming language enhances system parallelism,...

  • Review
  • Open Access
14 Citations
5,119 Views
27 Pages

A Qualitative and Comparative Performance Assessment of Logically Centralized SDN Controllers via Mininet Emulator

  • Mohammad Nowsin Amin Sheikh,
  • I-Shyan Hwang,
  • Muhammad Saibtain Raza and
  • Mohammad Syuhaimi Ab-Rahman

An alternative networking approach called Software Defined Networking (SDN) enables dynamic, programmatically efficient network construction, hence enhancing network performance. It splits a traditional network into a centralized control plane and a...

  • Article
  • Open Access
2 Citations
3,312 Views
21 Pages

Benchmarks play an essential role in the performance evaluation of novel research concepts. Their effectiveness diminishes if they fail to exploit the available hardware of the evaluated microprocessor or, more broadly, if they are not consistent in...

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Computers - ISSN 2073-431X