Spectral Clustering Technique for Classifying Network Attacks. - Anna Little; Xenia Mountrouidou; Daniel Moseley (BigDataSecurity/HPSC/IDS, 2016)

Worth the Wait? Time Window Feature Optimization for Attack Classification. - Casey Wilson; Xenia Mountrouidou; Anna Little (IEEE BigData, 2019)

A Prosodic Exploration of Academic Shame. - Jeremiah Sullins; Lucy Grace Camp; Anna Little; Laura Waldron; Ashlyn Wilson (ICLS, 2020)

Unbiasing Procedures for Scale-invariant Multi-reference Alignment. - Matthew J. Hirn; Anna Little (CoRR, 2021)

Towards a Taxonomy of Graph Learning Datasets. - Renming Liu; Semih Cantürk; Frederik Wenkel; Dylan Sandfelder; Devin Kreuzer; Anna Little; Sarah McGuire; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; et al. (CoRR, 2021)

Taxonomy of Benchmarks in Graph Representation Learning. - Renming Liu; Semih Cantürk; Frederik Wenkel; Sarah McGuire; Xinyi Wang; Anna Little; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; Ladislav Rampásek (LoG, 2022)

Taxonomy of Benchmarks in Graph Representation Learning. - Renming Liu; Semih Cantürk; Frederik Wenkel; Dylan Sandfelder; Devin Kreuzer; Anna Little; Sarah McGuire; Leslie O'Bray; Michael Perlmutter; Bastian Rieck; Matthew J. Hirn; Guy Wolf; et al. (CoRR, 2022)

Linear Distance Metric Learning with Noisy Labels. - Meysam Alishahi; Anna Little; Jeff M. Phillips (J. Mach. Learn. Res., 2024)

Clustering and visualization of single-cell RNA-seq data using path metrics. - Andriana Manousidaki; Anna Little; Yuying Xie 001 (PLoS Comput. Biol., 2024)

Bispectrum Unbiasing for Dilation-Invariant Multi-Reference Alignment. - Liping Yin; Anna Little; Matthew J. Hirn (IEEE Trans. Signal Process., 2024)

Functional Multi-Reference Alignment via Deconvolution. - Omar Al Ghattas; Anna Little; Daniel Sanz-Alonso; Mikhail Sweeney (CoRR, 2025)

Robust Multi-Manifold Clustering via Simplex Paths. - Haoyu Chen; Anna Little; Akin Narayan (CoRR, 2025)