366 data "https:" "https:" "https:" "CMU Portugal Program FCT" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54
-
will have the opportunity to interact with gravitational-wave researchers throughout Australia and around the world. Students in my group use data from the Laser Interferometer Gravitational-wave
-
We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
-
their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
-
While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
-
design, contributing to our understanding of experiencing the human body as play. More information at http://exertiongameslab.org
-
sensing equipment and theoretical work around play. For more information see http://exertiongameslab.org
-
information see http://exertiongameslab.org
-
of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability
-
-reported data. While informative, self-reported data can be susceptible to bias, poor memory, and incorrect self-assessment. This project will complement this self-reported measurement of feedback literacy