This Wednesday, Alina Zare presented a talk on Machine Learning and Applications in Remote Sensing in Global Centra Spring 2019 Webinars. Most supervised machine learning algorithms assume that each training data point is paired with an accurate training label. However,… Read More
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Gatorsense Labmates help GatorTrax
Gators giving back! In February, the UF Machine Learning Lab hosted a two hour workshop for GatorTrax, a free K-12 outreach program run by the UF College of Engineering and honor society. Conner McCurley, Susan Meerdink, and Weihuang Xu helped… Read More
Congratulations James Bocinsky, our lab’s most recent M.S. graduate!
Congratulations to James Bocinsky who defended his Master’s thesis titled “Learning Multiple Target Concepts From Uncertain, Ambiguous Data Using The Adaptive Cosine Estimator and Spectral Match Filter” this week on Monday, March 11th. His research focused on developing algorithms for… Read More
Our labmates Zou Sheng and Weihuang Xu recently presented at Plant Phenomics in Tucson
Our labmates Zou Sheng and Weihuang Xu recently presented their work on peanut maturity estimation and root segmentation at Plant Phenomics in Tucson, AZ. They did a great job presenting their work – and both received a 2019 Travel Award!
Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach
Abstract: Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of land cover with significant levels of noise or similar scattering properties across land cover types. Hence, we propose… Read More
Welcome new Post-doctoral Scientist Susan Meerdink!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member Susan Meerdink! Susan got her M.S. and Ph.D. degrees from University of California Santa Barbara. She studies the ability to map plant species across seasons in… Read More
Congratulations to our labmate Connor McCurley to be chosen as the Graduate Student of the Week for the week of October 8th!
Our labmate, Connor McCurley, was chose as the Graduate Student of the Week for the week of October 8th. He will talk about Machine Learning and Sensing Lab and also his research in the past years. Congratulations, Connor!
Welcome to our new undergraduate students!
The Machine Learning and Sensing Lab is excited to welcome our newest lab members Alyssa Bowles, Caleb Robey, Layiwola Lawrence Ibukun, Jake Samuelson, Ross Spencer, Val Christian and Yutai Zhou! They will be working on : Alyssa, Ross, and Val… Read More
Congratulations to our labmate Joshua Peeples for Winning 3 year travel award to attend the Board’s Institute on Teaching and Mentoring Conference!
Congrats to our labmate Joshua Peeples for receiving a 3 year travel award to attend the 2018 Southern Regional Education Board’s Institute on Teaching and Mentoring conference , held on October 25-28, 2018!
Bocinsky and McCurley present in DC
Our labmates James Bocinsky and Connor McCurley recently presented their work on buried explosive object detection at a project meeting in Washington D.C. They did a great job presenting their work – and had some time to see the sights!