Scholar
Alejandro Velasco
Google Scholar ID: B9BRhFUAAAAJ
PhD(c) Computer Science, William & Mary
Software Engineering
Deep Learning
Artificial Intelligence
Interpretability
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Homepage
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Citations & Impact
All-time
Citations
121
H-index
7
i10-index
4
Publications
16
Co-authors
8
list available
Contact
Email
svelascodimate@wm.edu
GitHub
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LinkedIn
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Publications
8 items
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
2025
Cited
0
Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach
2025
Cited
0
A Causal Perspective on Measuring, Explaining and Mitigating Smells in llm-Generated Code
2025
Cited
0
On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
2025
Cited
0
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
2025
Cited
0
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code
2025
Cited
0
Toward Neurosymbolic Program Comprehension
2025
Cited
0
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
2024
Cited
0
Resume (English only)
Co-authors
8 total
Denys Poshyvanyk
Chancellor Professor of Computer Science, William & Mary
David N. Palacio
Phd Student
Kevin Moran
Assistant Professor, University of Central Florida
Andrian Marcus
Professor of Computer Science, George Mason University
Mario Linares-Vásquez
Associate Professor, Universidad de los Andes; Fuerza Aérea Colombiana
Antonio Mastropaolo
William & Mary
Co-author 7
Co-author 8
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