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researcher

Sergio Di Martino

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.SE1
ORCID 0000-0002-1019-9004

identity via Semantic Scholar / OpenAlex

most citedWhy is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2021

Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference

Anna Corazza, Sergio Di Martino, Adriano Peron +1

In the context of End-to-End testing of web applications, automated exploration techniques (a.k.a. crawling) are widely used to infer state-based models of the site under test. The…

cs.CY2016★ 3 cited

Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?

Avaré Stewart, Sara Romano, Nattiya Kanhabua +5

Social media services such as Twitter are a valuable source of information for decision support systems. Many studies have shown that this also holds for the medical domain, where…

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