Steven N. Longmore

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks. CoRR Joel Pfeffer, J. M. Diederik Kruijssen, Clément Gossart, Mélanie Chevance, Diego Campo Millan, Florian Stecker, Steven N. Longmore
2025	J	`jnl`	Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems. CoRR J. M. Diederik Kruijssen, Renata Valieva, Steven N. Longmore
2024	J	`jnl`	AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Lee Oliver, James Warrington, Julieanne Quinlan, Katie Appleby
2024	J	`jnl`	Evaluating Thermal Infrared Drone Flight Parameters on Spider Monkey Detection in Tropical Forests. Sensors Eduardo José Pinel-Ramos, Filippo Aureli, Serge A. Wich, Steven N. Longmore, Denise Spaan
2024	J	`jnl`	Merit-Based Sortition in Decentralized Systems. CoRR J. M. Diederik Kruijssen, Renata Valieva, Kenneth Peluso, Nicholas Emmons, Steven N. Longmore
2024	J	`jnl`	Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. CoRR Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven N. Longmore, Serge A. Wich
2023	J	`jnl`	Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote. Sens. Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
2023	J	`jnl`	Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps. CoRR Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
2023	J	`jnl`	Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
2023	J	`jnl`	Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote. Sens. Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
2022	J	`jnl`	Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors Sally O. A. Westworth, Carl Chalmers, Paul Fergus, Steven N. Longmore, Alex K. Piel, Serge A. Wich