Andrew Farnsworth

According to our database, Andrew Farnsworth authored at least 14 papers between 2010 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Broad-Scale Weather Patterns Encountered during Flight Influence Landbird Stopover Distributions.

Hannah L. Clipp, Emily B. Cohen, Jaclyn A. Smolinsky, Kyle G. Horton, Andrew Farnsworth, Jeffrey J. Buler

Remote. Sens., 2020

Learning the Helix Topology of Musical Pitch.

Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers.

Jason Cramer, Vincent Lostanlen, Andrew Farnsworth, Justin Salamon, Juan Pablo Bello

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Per-Channel Energy Normalization: Why and How.

Vincent Lostanlen, Justin Salamon, Mark Cartwright, Brian McFee, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello

IEEE Signal Process. Lett., 2019

Robust sound event detection in bioacoustic sensor networks.

Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello

CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.

Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman

Commun. ACM, 2019

Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization.

Vincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher W. Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Birdvox-Full-Night: A Dataset and Benchmark for Avian Flight Call Detection.

Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Fusing shallow and deep learning for bioacoustic bird species classification.

Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Steve Kelling

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Detecting Migrating Birds at Night.

Jia-Bin Huang, Rich Caruana, Andrew Farnsworth, Steve Kelling, Narendra Ahuja

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

A comparison of similarity-based approaches in the classification of flight calls of four species of North American wood-warblers (Parulidae).

Sara Keen, Jesse C. Ross, Emily T. Griffiths, Michael Lanzone, Andrew Farnsworth

Ecol. Informatics, 2014

Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability.

Andrew Farnsworth, Daniel Sheldon, Jeffrey Geevarghese, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling

AI Mag., 2014

2013

Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar.

Daniel Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2010

Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel.

Theodoros Damoulas, Samuel Henry, Andrew Farnsworth, Michael Lanzone, Carla P. Gomes

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010