Unas: Differentiable architecture search meets reinforcement learning
Neural architecture search (NAS) aims to discover network architectures with desired
properties such as high accuracy or low latency. Recently, differentiable NAS (DNAS) has …
properties such as high accuracy or low latency. Recently, differentiable NAS (DNAS) has …
Waste detection in Pomerania: non-profit project for detecting waste in environment
Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, either for economic or ecological reasons, and the …
importance of recycling is well known, either for economic or ecological reasons, and the …
Deep neural networks approach to microbial colony detection—a comparative analysis
S Majchrowska, J Pawłowski, N Czerep… - … , Interaction, Design and …, 2021 - Springer
Counting microbial colonies is a fundamental task in microbiology and has many
applications in numerous industry branches. Despite this, current studies towards automatic …
applications in numerous industry branches. Despite this, current studies towards automatic …
Training Deep CNN's to Detect Prostate Cancer Lesion with Small Training Data
K Wiratchawa, Y Wanna, S Cha-in… - … on Circuits/Systems …, 2022 - ieeexplore.ieee.org
Prostate cancer is one of the most common cancers among men. Fatality due to prostate
cancer can be reduced if the cancerous lesions are spotted in the early stage. Although …
cancer can be reduced if the cancerous lesions are spotted in the early stage. Although …
[PDF][PDF] SUBMISSION TO NODE21 CHALLENGE (TEAM MTEC)
F Behrendt, M Bengs, A Schlaefer - rumc-gcorg-p-public.s3.amazonaws …
Automated detection and localization of lung nodules is a challenging task especially if only
chest radiographs are available. Recently, convolutional neural networks have shown …
chest radiographs are available. Recently, convolutional neural networks have shown …