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Kirstin Early
Kirstin Early
Ph.D. student, Machine Learning, Carnegie Mellon University
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Test time feature ordering with FOCUS: Interactive predictions with minimal user burden
K Early, SE Fienberg, J Mankoff
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
342016
Dynamic question ordering in online surveys
K Early, J Mankoff, SE Fienberg
Journal of Official Statistics 33 (3), 625-657, 2017
262017
Understanding gender equity in author order assignment
K Early, J Hammer, MK Hofmann, JA Rode, A Wong, J Mankoff
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-21, 2018
142018
Cost-Effective Feature Selection and Ordering for Personalized Energy Estimates.
K Early, SE Fienberg, J Mankoff
AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016
102016
Dynamic Question Ordering: Obtaining Useful Information While Reducing User Burden.
K Early
Carnegie Mellon University, USA, 2017
42017
Understanding the needs of prospective tenants
J Mankoff, D Onafuwa, K Early, N Vyas, V Kamath
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018
32018
An Additive Autoregressive Hidden Markov Model for Energy Disaggregation.
K Early, JZ Kolter
AAAI Workshop: Computational Sustainability, 2015
32015
NCRN Meeting Fall 2016: Dynamic Question Ordering: Obtaining Useful Information While Reducing Burden
K Early
2016
Graduate Education Should Include Training in Science Communication
A Shorr, J Dunietz, A Iosif, K Early
Carnegie Mellon University, April, 2013
2013
2017 Theses by Author
K EARLY, Y MA, GD MONTAÑEZ, SJ REDDI, YX WANG, J XIANG
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Articles 1–10