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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
9 Citations
3,849 Views
14 Pages

Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis; it works on an aspect level. It mainly focuses on extracting aspect terms from text or reviews, categorizing the aspect terms, and classifying the sentiment polariti...

  • Article
  • Open Access
14 Citations
8,051 Views
19 Pages

Supervisory control and data acquisition (SCADA) systems enable industrial organizations to control and monitor real-time data and industrial processes. Migrating SCADA systems to cloud environments can enhance the performance of traditional systems...

  • Systematic Review
  • Open Access
1 Citations
1,884 Views
13 Pages

Neurophysiological measures have been used in the field of education to improve our knowledge about the cognitive processes underlying learning. Furthermore, the combined use of different neuropsychological measures has deepened our understanding of...

  • Article
  • Open Access
6 Citations
2,625 Views
20 Pages

To address the challenges associated with wind power integration, this paper analyzes the impact of distributed renewable energy on the voltage of the distribution network. Taking into account the fast control of photovoltaic inverters and the unique...

  • Article
  • Open Access
3 Citations
6,052 Views
20 Pages

Traditional hypervisor-assisted virtualization is a leading virtualization technology in data centers, providing cost savings (CapEx and OpEx), high availability, and disaster recovery. However, its inherent overhead may hinder performance and seems...

  • Article
  • Open Access
3 Citations
4,049 Views
25 Pages

GFLASSO-LR: Logistic Regression with Generalized Fused LASSO for Gene Selection in High-Dimensional Cancer Classification

  • Ahmed Bir-Jmel,
  • Sidi Mohamed Douiri,
  • Souad El Bernoussi,
  • Ayyad Maafiri,
  • Yassine Himeur,
  • Shadi Atalla,
  • Wathiq Mansoor and
  • Hussain Al-Ahmad

Advancements in genomic technologies have paved the way for significant breakthroughs in cancer diagnostics, with DNA microarray technology standing at the forefront of identifying genetic expressions associated with various cancer types. Despite its...

  • Article
  • Open Access
24 Citations
17,884 Views
34 Pages

An increasing demand for model explainability has accompanied the widespread adoption of transformers in various fields of applications. In this paper, we conduct a survey of the existing literature on the explainability of transformers. We provide a...

  • Review
  • Open Access
3 Citations
3,319 Views
23 Pages

Over the last decade, research on evolving computational thinking (CT) has garnered heightened attention. Assessing the publication tendencies and nucleus contents of investigations on progressing CT to direct future research initiatives, develop pol...

  • Article
  • Open Access
1,663 Views
13 Pages

We propose a monitoring system for detecting illicit and copyrighted objects in digital manufacturing (DM). Our system is based on extracting and analyzing high-dimensional data from blueprints of three-dimensional (3D) objects. We aim to protect the...

  • Article
  • Open Access
1 Citations
3,867 Views
17 Pages

Lite2: A Schemaless Zero-Copy Serialization Format

  • Tianyi Chen,
  • Xiaotong Guan,
  • Shi Shuai,
  • Cuiting Huang and
  • Michal Aibin

In the field of data transmission and storage, serialization formats play a crucial role by converting complex data structures into a byte stream that can be easily stored, transmitted, and reconstructed. Despite the myriad available serialization fo...

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Computers - ISSN 2073-431X