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In recent years, top referred methods on object detection like R-CNN have implemented this task as a combination of proposal region …
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting …
In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the …
![Estimating Carbon Emissions of Artificial Intelligence [Opinion]](/research/publication/alexandra-luccioni-esti-tsm2020/featured_huff12c8f6b32a490a2c41666e33597325_1849324_150x80_fit_q75_h2_lanczos.webp)
The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development …
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental …
We paired existing land use regression (LUR) models for ambient ultrafine particles in Montreal and Toronto, Canada with satellite …
Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of …
Mass spectrometry is a valued method to evaluate the metabolomics content of a biological sample. The recent advent of rapid ionization …
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is …
Understanding the relationship between the genome of a cell and its phenotype is a central problem in precision medicine. Nonetheless, …