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Bio
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.
Research Interests
Papers共 10 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024): 72-76
IEEE TRANSACTIONS ON SOFTWARE ENGINEERINGno. 5 (2024): 1215-1243
2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSME (2023): 329-334
CoRR (2023)
2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019)pp.140-144, (2019)
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