Jean E. Piou

According to our database, Jean E. Piou authored at least 14 papers between 2004 and 2022.

Collaborative distances:

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

2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner

CoRR, 2022

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou

CoRR, 2022

A Deep Learning Application to the 2004 Flooding of the City of Gonaïves in Haiti.

Wougens Vincent, Amos Noel, Jean E. Piou

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Analyses of 2010 and 2021 Earthquakes that Struck Haiti Using a Deep Learning Network.

Amos Noel, Wougens Vincent, Jean E. Piou

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Comparison Between Deep Learning and Parametric Methods in Target Imaging from Narrowband Radar Data.

Jean E. Piou

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

A 2-D Processing Method to Image Targets from Data Collected by Narrowband Radars.

Jean E. Piou

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

2020

Computation of Posterior Cramer-Rao Bounds for Deep Learning Networks.

Jean E. Piou

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

2019

Singularity for Machine Learning Applications - Analysis of Performance Impact.

Bruce R. Jordan, David J. Barrett, David Burke, Patrick Jardin, Amelia Littrell, Paul Monticciolo, Michael Newey, Jean E. Piou, Kara Warner

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

A Mathematical Framework for Interconnected Systems Operating in a 1-D Network.

Jean E. Piou

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2016

Estimation of Cardiopulmonary Parameters From Ultra Wideband Radar Measurements Using the State Space Method.

Krishna Naishadham, Jean E. Piou, Lingyun Ren, Aly E. Fathy

IEEE Trans. Biomed. Circuits Syst., 2016

2014

Application of the Fornasini-Marchesini first model to data collected on a complex target model.

Jean E. Piou, Audrey J. Dumanian

Proceedings of the American Control Conference, 2014

Gait extraction from short radar dwells collected on dismounts.

Jean E. Piou

Proceedings of the American Control Conference, 2014

2007

A Novel 1-D Block Processing Approach to 2-D NMR Spectroscopy.

Krishna Naishadham, Jean E. Piou

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2004

System realization using 2-D output measurements.

Jean E. Piou

Proceedings of the 2004 American Control Conference, 2004