Counting Euclidean embeddings of rigid graphs. - Ioannis Z. Emiris; Ioannis Psarros (CoRR, 2014)

Low-Quality Dimension Reduction and High-Dimensional Approximate Nearest Neighbor. - Evangelos Anagnostopoulos; Ioannis Z. Emiris; Ioannis Psarros (SoCG, 2015)

Practical linear-space Approximate Near Neighbors in high dimension. - Georgia Avarikioti; Ioannis Z. Emiris; Ioannis Psarros; Georgios Samaras (CoRR, 2016)

High-dimensional approximate r-nets. - Georgia Avarikioti; Ioannis Z. Emiris; Loukas Kavouras; Ioannis Psarros (SODA, 2017)

Products of Euclidean Metrics and Applications to Proximity Questions among Curves. - Ioannis Z. Emiris; Ioannis Psarros (SoCG, 2018)

Randomized Embeddings with Slack and High-Dimensional Approximate Nearest Neighbor. - Evangelos Anagnostopoulos; Ioannis Z. Emiris; Ioannis Psarros (ACM Trans. Algorithms, 2018)

Near-Neighbor Preserving Dimension Reduction for Doubling Subsets of l1. - Ioannis Z. Emiris; Vasilis Margonis; Ioannis Psarros (APPROX-RANDOM, 2019)

The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances. - Anne Driemel; Jeff M. Phillips; Ioannis Psarros (SoCG, 2019)

Near neighbor preserving dimension reduction for doubling subsets of $ ell_1$. - Ioannis Z. Emiris; Vasilis Margonis; Ioannis Psarros (CoRR, 2019)

Sublinear data structures for short Fréchet queries. - Anne Driemel; Ioannis Psarros; Melanie Schmidt 001 (CoRR, 2019)

Proximity problems for high-dimensional data - Ioannis Psarros (2019)

High-Dimensional Approximate r-Nets. - Zeta Avarikioti; Ioannis Z. Emiris; Loukas Kavouras; Ioannis Psarros (Algorithmica, 2020)

(2+ε)-ANN for time series under the Fréchet distance. - Anne Driemel; Ioannis Psarros (CoRR, 2020)

Products of Euclidean Metrics, Applied to Proximity Problems among Curves: Unified Treatment of Discrete Fréchet and Dynamic Time Warping Distances. - Ioannis Z. Emiris; Ioannis Psarros (ACM Trans. Spatial Algorithms Syst., 2020)

ANN for Time Series Under the Fréchet Distance. - Anne Driemel; Ioannis Psarros (WADS, 2021)

The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances. - Anne Driemel; André Nusser; Jeff M. Phillips; Ioannis Psarros (Discret. Comput. Geom., 2021)

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. - Seshu Tirupathi; Dhaval Salwala; Giulio Zizzo; Ambrish Rawat; Mark Purcell; Søren Kejser Jensen; Christian Thomsen 001; Nguyen Ho; Carlos E. Muñiz-Cuza; Jonas Brusokas; Torben Bach Pedersen; Giorgos Alexiou; et al. (IEEE Big Data, 2022)

Tight Bounds for Approximate Near Neighbor Searching for Time Series under the Fréchet Distance. - Karl Bringmann; Anne Driemel; André Nusser; Ioannis Psarros (SODA, 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)

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

A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data. - Vassilis Stamatopoulos; Stavros Maroulis; Konstantinos Kozanis; Ioannis Psarros; George Papastefanatos; Giorgos Giannopoulos; Manolis Terrovitis (EDBT/ICDT Workshops, 2023)

Data-driven soiling detection in PV modules. - Alexandros Kalimeris; Ioannis Psarros; Giorgos Giannopoulos; Manolis Terrovitis; George Papastefanatos; Gregory Kotsis (CoRR, 2023)

Near-neighbor preserving dimension reduction via coverings for doubling subsets of ℓ1. - Ioannis Z. Emiris; Vasilis Margonis; Ioannis Psarros (Theor. Comput. Sci., 2023)

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

Faster Approximation Algorithms for k-Center via Data Reduction. - Arnold Filtser; Shaofeng H.-C. Jiang; Yi Li 002; Anurag Murty Naredla; Ioannis Psarros; Qiaoyuan Yang; Qin Zhang 001 (CoRR, 2025)

A Query-Driven Approach to Space-Efficient Range Searching. - Dimitris Fotakis 001; Andreas Kalavas; Ioannis Psarros (CoRR, 2025)

A near-linear time approximation scheme for (k,ℓ)-median clustering under discrete Fréchet distance. - Anne Driemel; Jan Höckendorff; Ioannis Psarros; Christian Sohler (CoRR, 2025)