articleInformation FusionJul 29, 2023HYBRID OA

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

JMJ. M. GórrizIÁI. ÁlvarezAÁAgustín Álvarez-MarquinaJEJuan E. ArcoMAMartin Atzmueller

Universidad de Granada · University of Cambridge · +23 more institutions

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Abstract

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer…

Citation impact

182
total citations
FWCI
30.09
Percentile
100%
References
336
Citations per year

Authors

78

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Robotics
  • Computer science
  • Deep learning
  • Automation
  • Applications of artificial intelligence
  • Artificial neural network
  • Machine learning
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