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Books and Theses
- 2018
[b1]Veronika Strnadová-Neeley:
Exploiting Intrinsic Clustering Structure in Discrete-Valued Data Sets for Efficient Knowledge Discovery in the Presence of Missing Data. University of California, Santa Barbara, USA, 2018
Conference and Workshop Papers
- 2020
- [c6]Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe:
Geodesic Forests. KDD 2020: 513-523 - 2019
- [c5]Trevor C. Vannoy
, Jacob J. Senecal, Veronika Strnadová-Neeley:
Improved Subspace K-Means Performance via a Randomized Matrix Decomposition. GlobalSIP 2019: 1-5 - 2017
- [c4]Veronika Strnadová-Neeley:
Efficient Clustering for Large-Scale, Sparse, Discrete Data with Low Fundamental Resolution. PhD@VLDB 2017 - 2015
- [c3]Veronika Strnadová-Neeley, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Leonid Oliker:
Efficient data reduction for large-scale genetic mapping. BCB 2015: 126-135 - 2014
- [c2]Veronika Strnadova, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Stefanie Jegelka, Daniel Rokhsar, Leonid Oliker:
Efficient and accurate clustering for large-scale genetic mapping. BIBM 2014: 3-10 - 2013
- [c1]Veronika Strnadova, David Jurgens, Tsai-Ching Lu:
Characterizing Online Discussions in Microblogs Using Network Analysis. AAAI Spring Symposium: Analyzing Microtext 2013
Informal and Other Publications
- 2019
- [i2]Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein:
Geodesic Learning via Unsupervised Decision Forests. CoRR abs/1907.02844 (2019) - 2016
- [i1]Veronika Strnadová-Neeley, Aydin Buluç, John R. Gilbert, Leonid Oliker, Weimin Ouyang:
LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering. CoRR abs/1608.08646 (2016)
Coauthor Index
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