Forrest Briggs

According to our database, Forrest Briggs authored at least 16 papers between 2008 and 2018.

Collaborative distances:

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

2018

Efficient Evaluation of Coding Strategies for Transcutaneous Language Communication.

Robert Turcott, Jennifer Chen, Pablo Castillo, Brian Knott, Wahyudinata Setiawan, Forrest Briggs, Keith Klumb, Freddy Abnousi, Prasad Chakka, Frances Lau, Ali Israr

Proceedings of the Haptics: Science, Technology, and Applications, 2018

2016

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data.

Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

CoRR, 2016

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Context-aware MIML instance annotation: exploiting label correlations with classifier chains.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Knowl. Inf. Syst., 2015

2013

Instance Annotation for Multi-Instance Multi-Label Learning.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou

ACM Trans. Knowl. Discov. Data, 2013

Multi-Label Classifier Chains for Bird Sound

Forrest Briggs, Xiaoli Z. Fern, Jed Irvine

CoRR, 2013

Novelty Detection Under Multi-Instance Multi-Label Framework.

Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern

CoRR, 2013

Novelty detection under multi-label multi-instance framework.

Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The Ninth Annual MLSP Data Competition.

Yonghong Huang, Forrest Briggs, Raviv Raich, Konstantinos Eftaxias, Zhong Lei

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.

Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Context-Aware MIML Instance Annotation.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Regularized joint density estimation for multi-instance learning.

Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Rank-loss support instance machines for MIML instance annotation.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Time-frequency segmentation of bird song in noisy acoustic environments.

Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern

Proceedings of the IEEE International Conference on Acoustics, 2011

2009

Audio Classification of Bird Species: A Statistical Manifold Approach.

Forrest Briggs, Raviv Raich, Xiaoli Z. Fern

Proceedings of the ICDM 2009, 2009

2008

Functional genetic programming and exhaustive program search with combinator expressions.

Forrest Briggs, Melissa O'Neill

Int. J. Knowl. Based Intell. Eng. Syst., 2008