Преглед тема: "machine learning"
Приказ резултата 1-12 од 12
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe
(International Journal of Molecular Sciences, 2023) -
AI-powered framework to predict the toxicity of microplastics
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Alternative splicing impacts microRNA regulation within coding regions
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Beyond the Global Health Security Index: A Machine Learning Approach to Analyzing the Official COVID-19 Deaths and Excess Deaths Data
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Hydroxyl radical scavenging potential of the late embryogenesis abundant proteins (LEA) proteins from Ramonda serbica - in silico approach
(Elsevier Science Inc, New York, 2021) -
Identifikacija gena za arabinogalaktanske proteine (AGP) biljaka korišćenjem metoda mašinskog učenja / Identification of AGP genes of plants using machine learning methods
(Beograd : Institut za molekularnu genetiku i genetičko inženjerstvo, 2023) -
Machine learning approach in inferring main population-level COVID-19 risk factors
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Some Applications of Graph-Based Machine Learning Methods on Biological Data
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Supervised Machine Learning Approach for Prediction of Occult Lymph Node Metastasis in T1-T2 Papillary Thyroid Carcinoma
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
The past, the present, and the future of RNA secondary structure prediction
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
The use of Active Machine Learning for Protospacer-Adjacent Motif recovery in Class 2 CRISPR-Cas systems
(Belgrade : Institute of molecular genetics and genetic engineering, 2023) -
Zero- and Few-Shot Machine Learning for Named Entity Recognition in Biomedical Texts
(Belgrade : Institute of molecular genetics and genetic engineering, 2023)