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Transformer-Based Wildlife Species Classification from Daily Movement Trajectories
Obed Irakoze, Prasenjit Mitra
Inferring the identity of wildlife species from daily movement data alone is a challenging task. We train sequence models on large-scale, 7-species GPS trajectories from the Moveba…
Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics
Blessed Madukoma, Prasenjit Mitra
Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such testing costs over $800 per sample and is limited by short detection windows for man…
Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints
Ali Al-Lawati, Jason Lucas, Zhiwei Zhang +2
In-context learning (ICL) effectively conditions large language models (LLMs) for molecular tasks, such as property prediction and molecule captioning, by embedding carefully selec…
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important task in movement studies; it circumvents the privacy, ethical, and technical challenges of collecting real trajectories from the target popula…
WildGEN: Long-horizon Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important concern in pedestrian, vehicle, and wildlife movement studies. Generated trajectories help enrich the training corpus in relation to deep lear…