Congratulations to our labmates: Joshua Peeples, Connor McCurley, Sarah Walker, Dylan Stewart and Alina Zare! Their paper, “LEARNABLE ADAPTIVE COSINE ESTIMATOR (LACE) FOR IMAGE CLASSIFICATION “, was recently accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.… Read More
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Abstract: In this work, we propose a new loss to improve feature discriminability and classification performance. Motivated by the adaptive cosine/coherence estimator [42] (ACE), our proposed method incorporates angular information that is inherently learned by artificial neural networks. Our learnable… Read More
Spatial and Texture Analysis of Root System Architecture with Earth Mover’s Distance (STARSEED)
Abstract: Purpose: Root system architectures are complex, multidimensional, and challenging to characterize effectively for agronomic and ecological discovery. Methods: We propose a new method, Spatial and Texture Analysis of Root System architecture with Earth mover’s Distance (STARSEED), for comparing root… Read More
Welcome New Undergraduate Research Assistant, Brian Hicks!
We are pleased to welcome Brian Hicks as one of our new undergraduate research assistants in 2021! Brian majors in Computer Science in the UF Department of Computer & Information Science & Engineering. Brian works on segmentation of Blueberry root… Read More
Welcome New Undergraduate Research Assistant, Matthew Schrank!
We are pleased to welcome Matthew Schrank as one of our new undergraduate research assistants in 2021! Matthew majors in Computer Science in the UF Department of Computer & Information Science & Engineering. He joins us the UF team of… Read More
FDI CORRECTION PHYSICS-BASED MODEL ACCEPTED TO APPLIED SCIENCES!
Congratulations to our labmates and collaborators: Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare and Janise McNair! Their paper, “A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based… Read More
Welcome New PhD Student Darren Koenenn!
We are excited to welcome Darren Koenenn as a new Ph.D. student to The Machine Learning and Sensing Lab! Darren earned his B.S. in Computer Science at the University of South Alabama in 2016. Darren is a *SMART scholar in… Read More
Welcome new PhD student Timothy Lu!
The Machine Learning and Sensing Lab is excited to welcome Timothy Lu as one of our new PhD students in Fall 2021! Tim has recently earned his B.S. in Computer Engineering at the University of Wisconsin-Stout. He is starting to… Read More
Welcome new PhD student Meilun Zhou!
The Machine Learning and Sensing Lab is excited to welcome Meilun Zhou as a new Ph.D. student! Meilun received a SMART (Science, Mathematics, and Research for Transformation) Scholarship from the Department of Defense, which funds his PhD research. He… Read More
Welcome new PhD student Khaled Hamad!
The Machine Learning and Sensing Lab is excited to welcome Khaled Hamad as a new Ph.D. student! Khaled received his MS degree in Electrical & Computer Engineering from the University of Florida in August 2021. He recently presented a new prediction… Read More