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Welcome New Master’s Student Matt Wein!

January 6, 2022

The Machine Learning and Sensing Lab is excited to welcome Matt Wein as a new Masters student! Matt received his BS degree in Civil & Structural Engineering from the University of Florida in 2016. After spending several years as a geotechnical and bridge engineer, he recognized the value machine learning can bring across industries. Matt […]

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Histogram Layers for Texture Analysis accepted to IEEE TAI, 2021!

December 24, 2021

Congratulations to our labmates and collaborators: Joshua Peeples, Weihuang Xu, and Alina Zare! Their paper, “Histogram Layers for Texture Analysis”, was recently accepted to IEEE Transactions on Artificial Intelligence, 2021. In the paper, the authors present a localized histogram layer for artificial neural networks. Instead of computing global histograms as done previously, the proposed histogram […]

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GatorSense Lab at COLLABORATE 2025, Greater Gainesville Chamber Investors Meeting

December 17, 2021

It was a great pleasure that we were invited by the Greater Gainesville Chamber to share our work at the COLLABORATE 2025 – Investors Meeting on December 14th, 2021 at The Cade Museum for Creativity and Invention. Dr. Zare talked about the research we do at The Machine Learning and Sensing Lab, and an overview of IoT4Ag – Internet of […]

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Image-to-Height Domain Translation for Synthetic Aperture Sonar

December 14, 2021

Abstract: Synthetic aperture sonar (SAS) intensity statistics are dependent upon the sensing geometry at the time of capture. Estimating bathymetry from acoustic surveys is challenging. While several methods have been proposed to estimate seabed relief via intensity, we develop the first large-scale study that relies on deep learning models. In this work, we pose bathymetric […]

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Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation

November 23, 2021

Abstract: Objective: We quantify adipose tissue deposition at surgical sites as a function of biomaterial implantation. Impact Statement: To our knowledge, this study is the first investigation to apply convolutional neural network (CNN) models to identify and segment adipose tissue in histological images from silk fibroin biomaterial implants. Introduction: When designing biomaterials for the treatment […]

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Celebrating Dr. Guohao Yu’s achievement

November 20, 2021

It is always a momentous occasion someone you know accomplishes what they have been working years for. Gatorsense is proud of Dr. Guohao Yu, who recently defended his PhD thesis! His work and dedication is an inspiration for the current students in the lab. The lab celebrated Dr. Yu’s achievement with a dinner party at […]

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Congratulations to Dr. Guohao Yu, our lab’s latest PhD graduate!

November 19, 2021

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Guohao Yu for graduating with his Ph.D.! Guohao’s dissertation is titled “Weakly Supervised Image Segmentation with Multiple Instance Learning Neural Network.” Guohao does research on weakly supervised image segmentation. His research focuses on […]

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RANDCROWNS accepted to IEEE JSTARS, 2021!

November 19, 2021

Congratulations to our labmates and collaborators: Dylan Stewart, Alina Zare, Sergio Marconi, Ben Weinstein, Ethan White, Sarah Grave, Stephanie Bohlman and Aditya Singh! Their paper, “RANDCROWNS: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation”, was recently accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. In the paper, […]

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Congratulations to Yiming Cui for a Successful Proposal Defense!

October 30, 2021

Congratulations to our labmate Yiming Cui for successfully defending his research proposal!  Defending an oral research proposal is the second of four milestones to completing a Ph.D. at the University of Florida.  Yiming is planning to conduct point cloud semantic segmentation techniques using graph convolutional networks trained with weak annotations. We are excited to see […]

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Welcome New Undergraduate Research Assistant, Daniel Shmul!

October 30, 2021

We are pleased to welcome Daniel Shmul as one of our new undergraduate research assistants in 2021! Daniel majors in Computer engineering in the UF Department of Electrical & Computer Engineering. He’s part of the AI MESH team where he’s working on data entry and analysis of crop yields. His hobbies include traveling, being in […]

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