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Algorithms, Volume 15, Issue 1

January 2022 - 26 articles

Cover Story: We proposed a method to transform EEG data into a deep latent space to classify PD subjects. We first used general orthogonalized directed coherence to compute the directional connectivity between EEG channels, and then converted the DC maps into 2D images. We then used VGG-16 architecture as our pre-trained model, used the weights of convolutional layers as initial weights, and fine-tuned all layers’ weights. Our results support the notion that transfer learning and latent space derivation are powerful tools for the development of biologically meaningful oscillatory biomarkers in PD. View this paper
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Articles (26)

  • Article
  • Open Access
9 Citations
4,331 Views
17 Pages

meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means

  • Nanami Taketomi,
  • Hirofumi Michimae,
  • Yuan-Tsung Chang and
  • Takeshi Emura

17 January 2022

Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James–Stein (JS) shrinkage estimat...

  • Article
  • Open Access
3 Citations
3,614 Views
15 Pages

17 January 2022

Semantic code retrieval is the task of retrieving relevant codes based on natural language queries. Although it is related to other information retrieval tasks, it needs to bridge the gaps between the language used in the code (which is usually synta...

  • Article
  • Open Access
9 Citations
4,290 Views
17 Pages

17 January 2022

In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a par...

  • Article
  • Open Access
10 Citations
3,948 Views
19 Pages

14 January 2022

To overcome the shortcomings of the harmony search algorithm, such as its slow convergence rate and poor global search ability, a reward population-based differential genetic harmony search algorithm is proposed. In this algorithm, a population is di...

  • Article
  • Open Access
2 Citations
4,679 Views
17 Pages

Tries-Based Parallel Solutions for Generating Perfect Crosswords Grids

  • Virginia Niculescu and
  • Robert Manuel Ştefănică

13 January 2022

A general crossword grid generation is considered an NP-complete problem and theoretically it could be a good candidate to be used by cryptography algorithms. In this article, we propose a new algorithm for generating perfect crosswords grids (with n...

  • Article
  • Open Access
10 Citations
5,848 Views
14 Pages

10 January 2022

Analysis of high-dimensional data, with more features (p) than observations (N) (p>N), places significant demand in cost and memory computational usage attributes. Feature selection can be used to reduce the dimensionality of the data. We used a g...

  • Article
  • Open Access
4 Citations
3,392 Views
18 Pages

7 January 2022

Complex networks usually consist of dense-connected cliques, which are defined as communities. A community structure is a reflection of the local characteristics existing in the network topology, this makes community detection become an important res...

  • Article
  • Open Access
3 Citations
3,349 Views
16 Pages

5 January 2022

Parameter optimization in the field of control engineering has always been a research topic. This paper studies the parameter optimization of an active disturbance rejection controller. The parameter optimization problem in controller design can be s...

  • Article
  • Open Access
9 Citations
4,359 Views
14 Pages

31 December 2021

Analog circuits play an important role in modern electronic systems. Aiming to accurately diagnose the faults of analog circuits, this paper proposes a novel variant of a convolutional neural network, namely, a multi-scale convolutional neural networ...

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Algorithms - ISSN 1999-4893