Jennifer Dy

Professor, Interdisciplinary with College of Engineering

Jennifer Dy
  • Machine learning
  • Data mining
  • Statistical pattern recognition
  • Computer vision
  • Image processing
  • PhD in Electrical and Computer engineering, Purdue University
  • MS in Electrical and Computer engineering, Purdue University
  • BS in Electrical Engineering, University of the Philippines

Jennifer G. Dy is a professor in the College of Engineering and Khoury College of Computer Sciences at Northeastern University.

Dy received an NSF Career award in 2004. She has been an editorial board member for the journal Machine Learning since 2004 and program committee member for ICML, ACM SIGKDD, AAAI, and SIAM SDM. Additionally, she was publications chair for the International Conference on Machine Learning in 2004.

  • Deep Layer-wise Networks Have Closed-Form Weights

    Citation: Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy. (2022). Deep Layer-wise Networks Have Closed-Form Weights AISTATS, 188-225. https://proceedings.mlr.press/v151/tzu-wu22a.html

  • Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth

    Citation: Shi Dong , Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli. (2020). Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth ICMLA, 759-764. https://doi.org/10.1109/ICMLA51294.2020.00124

  • Instance-wise Feature Grouping

    Citation: Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang , Peter J. Castaldi, Jennifer G. Dy. (2020). Instance-wise Feature Grouping NeurIPS. https://proceedings.neurips.cc/paper/2020/hash/9b10a919ddeb07e103dc05ff523afe38-Abstract.html