|
|
|
|
|
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler and Hugo L. Hammer
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging. The most com...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette H. Stensen, Michael A. Riegler and Hugo L. Hammer
Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, including the time duration betwee...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo and Hugo L. Hammer
Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of hum...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu and Hugo L. Hammer
A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The pape...
ver más
|
|
|
|
|
|