Zobrazeno 1 - 10
of 10 573
pro vyhledávání: '"Michael, John A."'
Autor:
Fanous, Michael John, Seybold, Christopher Michael, Chen, Hanlong, Pillar, Nir, Ozcan, Aydogan
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. BlurrySco
Externí odkaz:
http://arxiv.org/abs/2410.17557
Autor:
Fortulan, Raphael, Li, Suwei, Reece, Michael John, Serhiienko, Illia, Mori, Takao, Yamini, Sima Aminorroya
There is evidence that magnetism can potentially increase the thermopower of materials, most likely due to magnon scattering, suggesting the incorporation of intrinsic magnetic semiconductors in non-magnetic thermoelectric materials. Here, samples of
Externí odkaz:
http://arxiv.org/abs/2408.15704
Autor:
Mostowsky, Peter, Dutordoir, Vincent, Azangulov, Iskander, Jaquier, Noémie, Hutchinson, Michael John, Ravuri, Aditya, Rozo, Leonel, Terenin, Alexander, Borovitskiy, Viacheslav
Kernels are a fundamental technical primitive in machine learning. In recent years, kernel-based methods such as Gaussian processes are becoming increasingly important in applications where quantifying uncertainty is of key interest. In settings that
Externí odkaz:
http://arxiv.org/abs/2407.08086
Publikováno v:
Light: Science & Applications (2024)
The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certain measurement metrics to engineer better bioimaging tools in terms of
Externí odkaz:
http://arxiv.org/abs/2403.14324
Autor:
Phillips, Angus, Dau, Hai-Dang, Hutchinson, Michael John, De Bortoli, Valentin, Deligiannidis, George, Doucet, Arnaud
Denoising diffusion models have become ubiquitous for generative modeling. The core idea is to transport the data distribution to a Gaussian by using a diffusion. Approximate samples from the data distribution are then obtained by estimating the time
Externí odkaz:
http://arxiv.org/abs/2402.06320
Autor:
Lara Shania Richards, Steven Thomas Siems, Yi Huang, Wenhui Zhao, Daniel Patrick Harrison, Michael John Manton, Michael John Reeder
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The frequencies of marine heatwaves and thermal coral bleaching events (CBEs) over the Great Barrier Reef (GBR) continue to increase with five mass CBEs reported since 2016. While changes in the local meteorology, such as reduced wind speeds
Externí odkaz:
https://doaj.org/article/25b0166972164d5bb3ac55965c97790e
Autor:
Ilagan, Michael John
Chatbots have the risk of generating offensive utterances, which must be avoided. Post-deployment, one way for a chatbot to continuously improve is to source utterance/label pairs from feedback by live users. However, among users are trolls, who prov
Externí odkaz:
http://arxiv.org/abs/2310.19271
Autor:
Aleksandrina Goeva, Michael-John Dolan, Judy Luu, Eric Garcia, Rebecca Boiarsky, Rajat M. Gupta, Evan Macosko
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract In case-control single-cell RNA-seq studies, sample-level labels are transferred onto individual cells, labeling all case cells as affected, when in reality only a small fraction of them may actually be perturbed. Here, using simulations, we
Externí odkaz:
https://doaj.org/article/1bc54e930022458588929cc0ea411b0a
Autor:
Manuela Paulina Trejo Ramírez, Callum John Thornton, Neil Darren Evans, Michael John Chappell
Publikováno v:
Healthcare Technology Letters, Vol 11, Iss 5, Pp 259-270 (2024)
Abstract Quantifying finger kinematics can improve the authors’ understanding of finger function and facilitate the design of efficient prosthetic devices while also identifying movement disorders and assessing the impact of rehabilitation interven
Externí odkaz:
https://doaj.org/article/c22948626e4b431893b9f0e0a6620719
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract In recent years, the integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certain measurement metrics to engineer better bi
Externí odkaz:
https://doaj.org/article/20ba9b64d6124e50b6933eef4f7af672