Category: News
VENTURA AWARDED UNDERGRADUATE RESEARCH FELLOWSHIP!
June 12, 2020Congratulations to our labmate, Denisse Ventura, for accepting an Engineering Summer Undergraduate Research Fellowship (SURF) at Stanford University for Summer 2020! Denisse will be working with Dr. Priyanka Raina in the Stanford Accelerate Group to create hardware-software systems which accelerate One-shot Learning algorithms. We are excited to see the awesome work you complete this summer, […]
Read more: VENTURA AWARDED UNDERGRADUATE RESEARCH FELLOWSHIP! »SARAH WALKER AWARDED AS UNIVERSITY SCHOLAR!
June 5, 2020Congratulations to our labmate, Sarah Walker! Sarah was recently given a University Scholar Award by the University of Florida’s Center for Undergraduate Research (CUR). Sarah was chosen through a highly-competitive process to participate in the program as 1 of 200 total students across all disciplines. This award grants undergraduate students the opportunity to build their […]
Read more: SARAH WALKER AWARDED AS UNIVERSITY SCHOLAR! »PYTHON JUST GOT SPICE-Y!
May 29, 2020Sparsity Promoting Iterated Constrained Endmemebers (SPICE) is now in the Python Package Index! SPICE is an efficient algorithm for finding hyperspectral endmembers and corresponding proportions for a scene. The Python implementation can now be installed easily from PyPI. Also, don’t forget to check out the paper here!
Read more: PYTHON JUST GOT SPICE-Y! »ROOT IDENTIFICATION WITH MULTIPLE INSTANCE LEARNING ACCEPTED TO MACHINE VISION AND APPLICATIONS!
May 18, 2020Congratulations to our labmates Guohao Yu, Alina Zare and Hudanyun Sheng, as well as collaborators, Roser Matamala, Joel Reyes-Cabrera, Felix Fritschi and Thomas Juenger! Their paper, “Root Identification in Minirhizotron Imagery with Multiple Instance Learning”, was recently accepted to Machine Vision and Applications! Their paper explores the use of multiple instance learning to segment minirhizotron […]
Read more: ROOT IDENTIFICATION WITH MULTIPLE INSTANCE LEARNING ACCEPTED TO MACHINE VISION AND APPLICATIONS! »SUPER RESOLUTION FOR ROOT IMAGING ACCEPTED TO APPS!
May 8, 2020Congratulations to our labmates Jose Ruiz-Munoz and Alina Zare as well as collaborators Jyothier Nimmagadda, Tyler Dowd and James Baciak! Their paper, titled “Super Resolution for Root Imaging”, was recently accepted to Applications in Plant Sciences (APP). If you’re interested in learning about a super-resolution framework for enhancing images of plant roots by using convolutional […]
Read more: SUPER RESOLUTION FOR ROOT IMAGING ACCEPTED TO APPS! »WELCOME NEW UNDERGRADUATE RESEARCH ASSISTANTS: CALEB, NANCY AND SKY!
May 4, 2020Caleb Wong Nancy Newlin Sky Myers The Machine Learning and Sensing Lab is excited to welcome our newest lab members, Caleb Wong, Nancy Newlin and Sky Myers! All three are Computer Science majors at the University of Florida and will be working on our SENTINEL project, which aims at using machine learning to detect […]
Read more: WELCOME NEW UNDERGRADUATE RESEARCH ASSISTANTS: CALEB, NANCY AND SKY! »ZARE PRESENTED 2020 FACULTY EXCELLENCE RESEARCH AWARD!
May 4, 2020Congratulations to Dr. Alina Zare! She was recently presented the 2020 Faculty Excellence Research Award by University of Florida’s Department of Electrical and Computer Engineering. Dr. Zare works day in and day out to ensure she is performing high-quality, ethical and repeatable research. She strives to make cutting-edge discoveries across a variety of fields and […]
Read more: ZARE PRESENTED 2020 FACULTY EXCELLENCE RESEARCH AWARD! »CONGRATULATIONS TO OUR GRADUATES, SOFIA AND TYLER!
May 1, 2020Congratulations to UF’s graduating class of Spring 2020! The MLSL would like to recognize our very own undergraduate researchers, Sofia Vega and Tyler Fonzi. Tyler will be transitioning to the workforce this Fall, while Sophia will be continuing her education at Harvard University in pursuit of a PhD degree in biostatistics. You both are going to […]
Read more: CONGRATULATIONS TO OUR GRADUATES, SOFIA AND TYLER! »WELCOME NEW POST-DOCTORAL SCIENTIST MAGGIE HANTAK!
April 28, 2020The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Maggie Hantak! Maggie received her Ph.D. from Ohio University in 2019. She studies the ecological and evolutionary processes that maintain genetic and phenotypic variation within and among populations, specifically, in woodland salamanders. Maggie will be using machine learning to score salamander […]
Read more: WELCOME NEW POST-DOCTORAL SCIENTIST MAGGIE HANTAK! »OVERCOMING SMALL MINIRHIZOTRON DATASETS ACCEPTED TO COMPUTERS AND ELECTRONICS IN AGRICULTURE!
April 28, 2020Congratulations to our labmates, Weihuang Xu, Guohao Yu and Alina Zare, as well as collaborators Brenden Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix Fritschi, Roser Matamala and Thomas Juenger! Their paper, titled “Overcoming Small Minirhizotron Datasets Using Transfer Learning”, was recently accepted to Computers and Electronics in Agriculture. Check it out here!
Read more: OVERCOMING SMALL MINIRHIZOTRON DATASETS ACCEPTED TO COMPUTERS AND ELECTRONICS IN AGRICULTURE! »