1 code implementation • 22 Feb 2024 • David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming.
1 code implementation • NeurIPS 2023 • Miriam Barrabes, Daniel Mas Montserrat, Margarita Geleta, Xavier Giro-i-Nieto, Alexander G. Ioannidis
Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing and correcting the features originating such shifts has not been studied in depth.
no code implementations • 13 May 2021 • János Horváth, Sriram Baireddy, Hanxiang Hao, Daniel Mas Montserrat, Edward J. Delp
A growing number of commercial satellite companies provide easily accessible satellite imagery.
no code implementations • 13 Feb 2021 • Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Guerra, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu
Our method uses a pair of eating scene images, one before start eating and one after eating is completed.
no code implementations • 8 Oct 2020 • Daniel Mas Montserrat, János Horváth, S. K. Yarlagadda, Fengqing Zhu, Edward J. Delp
Satellite imagery is becoming increasingly accessible due to the growing number of orbiting commercial satellites.
1 code implementation • 25 Apr 2020 • Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante, Alexander Ioannidis
With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics.
Genomics Populations and Evolution
no code implementations • 25 Apr 2020 • Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms.
no code implementations • 22 Apr 2020 • Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis
Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome.
no code implementations • 27 Nov 2019 • Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp
Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.
1 code implementation • 27 Nov 2019 • Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis
Techniques to generate training samples that resemble real haploid sequences from ancestries of interest can be useful tools in such scenarios, since a generalized model can often be shared, but the unique human sample sequences cannot.