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Ermeson Andrade

3 papers hereh-index 226 citations8 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.SE2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPredictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data

20 citations · 22 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SE2026

Software Aging in LLM-Generated Applications: Runtime Evidence, Static Analysis, and Human-Written Comparisons

Cesar Santos, Michele Vitagliano, Roberto Natella +1

Large Language Models (LLMs) are increasingly used to generate executable software systems from natural language specifications, accelerating development and reducing manual implem…

cs.SE2025★ 2 cited

Investigating Software Aging in LLM-Generated Software Systems

César Santos, Ermeson Andrade, Roberto Natella

Automatically generated software, especially code produced by Large Language Models (LLMs), is increasingly adopted to accelerate development and reduce manual effort. However, lit…

cs.LG2023★ 20 cited

Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data

Sergio F. Chevtchenko, Monalisa C. M. dos Santos, Diego M. Vieira +5

With the support of Internet of Things (IoT) devices, it is possible to acquire data from degradation phenomena and design data-driven models to perform anomaly detection in indust…

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