基本信息
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职业迁徙
个人简介
David Nader Palacio (Student Member, IEEE) received the MSc in computer engineering from Universidad Nacional de Colombia (UNAL), Colombia, 2017. He is currently working toward the PhD degree in computer science with the College of William & Mary, where he is a member of the SEMERU research group supervised by Dr. Denys Poshyvanyk. His research is concentrated on interpretable methods for deep learning code generators, specifically, towards using causal inference to explain deep software models. His fields of interest lie in complexity science, neuroevolution, causal inference, and interpretable machine learning for the study and automation of software engineer processes.
研究兴趣
论文共 11 篇作者统计合作学者相似作者
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期刊级别
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CoRR (2024): 72-76
David N. Palacio,Daniel Rodriguez-Cardenas, Alejandro Velasco, Dipin Khati,Kevin Moran,Denys Poshyvanyk
arxiv(2024)
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IEEE TRANSACTIONS ON SOFTWARE ENGINEERINGno. 5 (2024): 1215-1243
CoRR (2023)
2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSME (2023): 329-334
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作者统计
#Papers: 11
#Citation: 313
H-Index: 6
G-Index: 11
Sociability: 3
Diversity: 0
Activity: 1
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