Results 21 to 30 of about 610,735 (230)
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine.
PLoS Computational Biology, 2021 Supervised machine learning is an essential but difficult to use approach in biomedical data analysis. The Galaxy-ML toolkit (https://galaxyproject.org/community/machine-learning/) makes supervised machine learning more accessible to biomedical ...
Qiang Gu +7 more
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Interactive Automation Of COVID-19 Classification Through X-Ray Images Using Machine Learning
JISR on Computing, 2020 Machine learning had given many benefits to the humankind by implementing technology on the daily human lives. To add, when the pandemic COVID19 hits Earth globally in early 2020, mankind is challenged with the sudden emergence of the virus that costed
Ashura binti Hasmadi +2 more
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Seagrass classification using unsupervised curriculum learning (UCL)
Ecological InformaticsSeagrass ecosystems are pivotal in marine environments, serving as crucial habitats for diverse marine species and contributing significantly to carbon sequestration.
Nosheen Abid +7 more
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Machine Learning at Microsoft with ML .NET
, 2019 Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for ...
Ahmed, Zeeshan +33 more
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Perturbing Inputs to Prevent Model Stealing
, 2020 We show how perturbing inputs to machine learning services (ML-service) deployed in the cloud can protect against model stealing attacks. In our formulation, there is an ML-service that receives inputs from users and returns the output of the model ...
Grana, Justin
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HeliyonGuar korma and churi protein isolates were assessed for their physicochemical, nutritional, functional, structural, and digestibility properties for their application in the food industry.
Bhavya Kotnala +2 more
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The Challenges in SDN/ML Based Network Security : A Survey
, 2018 Machine Learning is gaining popularity in the network security domain as many more network-enabled devices get connected, as malicious activities become stealthier, and as new technologies like Software Defined Networking (SDN) emerge.
Nguyen, Tam N.
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Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
, 2019 Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable ...
Chen, Kwang-Cheng +5 more
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Identification of semen traces at a crime scene through Raman spectroscopy and machine learning
Scientific ReportsBiological fluid stains can be instrumental in solving crimes. Identification of semen can help reconstruct events in sexual assault cases and identify suspects via DNA profiling.
Alexey V. Borisov +5 more
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Diffusion models for 3D generation: A survey
Computational Visual MediaDenoising diffusion models have demonstrated tremendous success in modeling data distributions and synthesizing high-quality samples. In the 2D image domain, they have become the state-of-the-art and are capable of generating photo-realistic images with ...
Chen Wang +4 more
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