Characterizing Online Discussions in Microblogs Using Network Analysis. - Veronika Strnadova; David Jurgens; Tsai-Ching Lu (AAAI Spring Symposium: Analyzing Microtext, 2013)

Efficient and accurate clustering for large-scale genetic mapping. - Veronika Strnadova; Aydin Buluç; Jarrod Chapman; John R. Gilbert; Joseph Gonzalez 001; Stefanie Jegelka; Daniel Rokhsar; Leonid Oliker (BIBM, 2014)

Efficient data reduction for large-scale genetic mapping. - Veronika Strnadová-Neeley; Aydin Buluç; Jarrod Chapman; John R. Gilbert; Joseph Gonzalez 001; Leonid Oliker (BCB, 2015)

LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering. - Veronika Strnadová-Neeley; Aydin Buluç; John R. Gilbert; Leonid Oliker; Weimin Ouyang (CoRR, 2016)

Efficient Clustering for Large-Scale, Sparse, Discrete Data with Low Fundamental Resolution. - Veronika Strnadová-Neeley (PhD@VLDB, 2017)

Exploiting Intrinsic Clustering Structure in Discrete-Valued Data Sets for Efficient Knowledge Discovery in the Presence of Missing Data. - Veronika Strnadová-Neeley (2018)

Improved Subspace K-Means Performance via a Randomized Matrix Decomposition. - Trevor C. Vannoy; Jacob J. Senecal; Veronika Strnadová-Neeley (GlobalSIP, 2019)

Geodesic Learning via Unsupervised Decision Forests. - Meghana Madhyastha; Percy Li; James Browne; Veronika Strnadová-Neeley; Carey E. Priebe; Randal C. Burns; Joshua T. Vogelstein (CoRR, 2019)

Geodesic Forests. - Meghana Madhyastha; Gongkai Li; Veronika Strnadová-Neeley; James Browne; Joshua T. Vogelstein; Randal C. Burns; Carey E. Priebe (KDD, 2020)