A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice. - Hendrik Fichtenberger; Dennis Rohde (NeurIPS, 2018)

Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves. - Stefan Meintrup; Alexander Munteanu; Dennis Rohde (NeurIPS, 2019)

Coresets for (k, l)-Clustering under the Fréchet Distance. - Dennis Rohde (CoRR, 2019)

Approximating (k, 𝓁)-Median Clustering for Polygonal Curves. - Maike Buchin; Anne Driemel; Dennis Rohde (CoRR, 2020)

Coresets for (k, ℓ )-Median Clustering Under the Fréchet Distance. - Maike Buchin; Dennis Rohde (CALDAM, 2022)

Approximating Length-Restricted Means Under Dynamic Time Warping. - Maike Buchin; Anne Driemel; Koen van Greevenbroek; Ioannis Psarros; Dennis Rohde (WAOA, 2022)

Random projections for high-dimensional curves. - Ioannis Psarros; Dennis Rohde (CoRR, 2022)

( kappa )-Median clustering of spatial data sequences - Dennis Rohde (2022)

Random Projections for Curves in High Dimensions. - Ioannis Psarros; Dennis Rohde (SoCG, 2023)

Approximating (k,ℓ)-Median Clustering for Polygonal Curves. - Maike Buchin; Anne Driemel; Dennis Rohde (ACM Trans. Algorithms, 2023)

Fast Approximations and Coresets for (k,𝓁)-Median Under Dynamic Time Warping. - Jacobus Conradi; Benedikt Kolbe; Ioannis Psarros; Dennis Rohde (SoCG, 2024)