Travelled to:1 × Canada
1 × Israel
1 × Turkey
8 × USA
Collaborated with:C.E.Brodley G.Fung J.C.Ross T.Su M.I.Jordan Y.Yan R.Rosales V.Vural G.C.Sharp Y.Guan M.Masaeli D.Niu P.J.Castaldi M.H.Cho K.Sanghai D.R.Kaeli S.Kurugol N.Ozay D.H.Brooks Y.Cui B.M.Alexander S.B.Jiang
Talks about:select (4) featur (4) unsupervis (3) cluster (3) model (3) learn (3) probabilist (2) hierarch (2) process (2) mixtur (2)
Person: Jennifer G. Dy
DBLP: Dy:Jennifer_G=
Contributed to:
2014
201320112010
2010201020082005200420002000Wrote 14 papers:
- KDD-2014-RossCCD #clustering #process
- Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.
- ICML-c3-2013-RossD #constraints #parametricity #process
- Nonparametric Mixture of Gaussian Processes with Constraints (JCR, JGD), pp. 1346–1354.
- ICML-2011-GuanDJ #feature model #probability
- A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection (YG, JGD, MIJ), pp. 1073–1080.
- ICML-2011-YanRFD #learning
- Active Learning from Crowds (YY, RR, GF, JGD), pp. 1161–1168.
- ICML-2010-MasaeliFD #feature model #reduction
- From Transformation-Based Dimensionality Reduction to Feature Selection (MM, GF, JGD), pp. 751–758.
- ICML-2010-NiuDJ #clustering #multi
- Multiple Non-Redundant Spectral Clustering Views (DN, JGD, MIJ), pp. 831–838.
- ICPR-2010-KurugolODSB #3d #segmentation #set
- Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation (SK, NO, JGD, GCS, DHB), pp. 3955–3958.
- KDD-2010-YanFDR #classification
- Medical coding classification by leveraging inter-code relationships (YY, GF, JGD, RR), pp. 193–202.
- KDD-2008-CuiDSAJ #learning
- Learning methods for lung tumor markerless gating in image-guided radiotherapy (YC, JGD, GCS, BMA, SBJ), pp. 902–910.
- KDD-2005-SanghaiSDK #architecture #clustering #design #multi #performance #simulation
- A multinomial clustering model for fast simulation of computer architecture designs (KS, TS, JGD, DRK), pp. 808–813.
- ICML-2004-SuD #automation #component #probability
- Automated hierarchical mixtures of probabilistic principal component analyzers (TS, JGD).
- ICML-2004-VuralD #multi
- A hierarchical method for multi-class support vector machines (VV, JGD).
- ICML-2000-DyB #identification #learning #order #set
- Feature Subset Selection and Order Identification for Unsupervised Learning (JGD, CEB), pp. 247–254.
- KDD-2000-DyB #feature model #interactive #visualisation
- Visualization and interactive feature selection for unsupervised data (JGD, CEB), pp. 360–364.