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Mpesiana A. Tzani

3 papers hereh-index 6457 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.OH1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedExtracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases

359 citations · 361 across the 2 of their papers we have counts for

collaborators

3 papers

cs.OH2023★ 2 cited

ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge

Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis

The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing…

cs.CV2020

Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19

Ioannis D. Apostolopoulos, Mpesiana Tzani

Modern industry requires modern solutions for monitoring the automatic production of goods. Smart monitoring of the functionality of the mechanical parts of technology systems or m…

eess.IV2020★ 359 cited

Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases

Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesiana Tzani

In this study, the problem of automatically classifying pulmonary diseases, including the recently emerged COVID-19, from X-Ray images, is considered. While the spread of COVID-19…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.