Abstract is missing.
- Point cloud capture and segmentation of animal images using classification and clusteringJustin Petluk, Wendy Osborn. 1-4 [doi]
- Spatio-temporal clustering benchmark for collective animal behaviorEren Cakmak, Manuel Plank, Daniel S. Calovi, Alex Jordan, Daniel A. Keim. 5-8 [doi]
- Multi-scale framework for attraction place identification across human and animal mobilityMaria Luisa Damiani, Fatima Hachem, Sabrina Gaito. 9-12 [doi]
- A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19Ziyi Zhang, Diya Li, Zhe Zhang, Nicholas Duffield. 13-17 [doi]
- A time-geographic approach to quantify the duration of interaction in movement dataRongxiang Su, Somayeh Dodge, Konstadinos G. Goulias. 18-26 [doi]
- Semi-supervised trajectory classification using convolutional auto-encodersAntonios Makris, Ioannis Kontopoulos, Evangelos Psomakelis, Konstantinos Tserpes. 27-32 [doi]
- Movements in the forest during COVID-19 lockdown in the Czech Republic: interaction between humans and wild boarsAstrid Olejarz, Monika Faltusová, Justine Güldenpfennig, Václav Silovský, Milos Jezek, Tomasz Podgórski. 33-37 [doi]
- K-means for semantically enriched trajectoriesJana Seep, Jan Vahrenhold. 38-47 [doi]