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Jennifer Dy
Jennifer Dy
Electrical and Computer Engineering, Northeastern University
Verified email at ece.neu.edu
Title
Cited by
Cited by
Year
Feature selection for unsupervised learning
JG Dy, CE Brodley
Journal of machine learning research 5 (Aug), 845-889, 2004
13782004
Feature selection for unsupervised learning
JG Dy, CE Brodley
Journal of machine learning research 5 (Aug), 845-889, 2004
13782004
Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors
S Patel, K Lorincz, R Hughes, N Huggins, J Growdon, D Standaert, ...
IEEE transactions on information technology in biomedicine 13 (6), 864-873, 2009
7242009
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 136 (7), 803-810, 2018
4892018
Impact of imputation of missing values on classification error for discrete data
A Farhangfar, L Kurgan, J Dy
Pattern Recognition 41 (12), 3692-3705, 2008
4382008
Active learning from crowds
Y Yan, GM Fung, R Rosales, JG Dy
Proceedings of the 28th international conference on machine learning (ICML …, 2011
4152011
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories.
EH Siegel, MK Sands, W Van den Noortgate, P Condon, Y Chang, J Dy, ...
Psychological bulletin 144 (4), 343, 2018
3822018
Feature subset selection and order identification for unsupervised learning
JG Dy, CE Brodley
ICML, 247-254, 2000
3792000
Unsupervised feature selection applied to content-based retrieval of lung images
JG Dy, CE Brodley, A Kak, LS Broderick, AM Aisen
IEEE transactions on pattern analysis and machine intelligence 25 (3), 373-378, 2003
3242003
Learning to prompt for continual learning
Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3182022
Cluster: An unsupervised algorithm for modeling Gaussian mixtures
CA Bouman, M Shapiro, GW Cook, CB Atkins, H Cheng
3151997
Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
P Sakornsakolpat, D Prokopenko, M Lamontagne, NF Reeve, AL Guyatt, ...
Nature genetics 51 (3), 494-505, 2019
2822019
Evolving feature selection
H Liu, ER Dougherty, JG Dy, K Torkkola, E Tuv, H Peng, C Ding, F Long, ...
IEEE Intelligent systems 20 (6), 64-76, 2005
2772005
Modeling annotator expertise: Learning when everybody knows a bit of something
Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ...
Proceedings of the thirteenth international conference on artificial …, 2010
2482010
Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment
AM Aisen, LS Broderick, H Winer-Muram, CE Brodley, AC Kak, ...
Radiology 228 (1), 265-270, 2003
2252003
A novel approach to monitor rehabilitation outcomes in stroke survivors using wearable technology
S Patel, R Hughes, T Hester, J Stein, M Akay, JG Dy, P Bonato
Proceedings of the IEEE 98 (3), 450-461, 2010
2142010
VMM-based intrusion detection system
M Moffie, D Kaeli, A Cohen, J Aslam, M Alshawabkeh, J Dy, F Azmandian
US Patent 8,719,936, 2014
2122014
VMM-based intrusion detection system
M Moffie, D Kaeli, A Cohen, J Aslam, M Alshawabkeh, J Dy, F Azmandian
US Patent 8,719,936, 2014
2122014
Learning from multiple annotators with varying expertise
Y Yan, R Rosales, G Fung, R Subramanian, J Dy
Machine learning 95, 291-327, 2014
2012014
A hierarchical method for multi-class support vector machines
V Vural, JG Dy
Proceedings of the twenty-first international conference on Machine learning …, 2004
1942004
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