Incrementally learning new information from a non-stationary stream of data, referred to as ‘continual learning’, is a key feature of natural intelligence, but a challenging problem for deep neural networks. I
The term “Cervical cancer” is characterized by an abrupt and unusual growth of cells in the cervical lining. The cause of this disease is the human papillomavirus (HPV) attack on the body and the medium of transmission is sexual intercourse. This abnormal cell growth is called dysplasia or ...
to a large extent, by a specific combination of differentially expressed genes. Clusters of neurons in transcriptomic space correspond to distinct cell types and in some cases—for example,Caenorhabditis elegansneurons1and retinal ganglion cells2,3,4—have been shown to share morphology and function....
a, Schematic illustration of GET. The input of GET is a peak (accessible region) × TF (motif) matrix derived from a human single-cell (sc)ATAC-seq atlas, summarizing regulatory sequence information across a genomic locus of more than 2 Mbp. Through self-supervised random masked pret...
PG in ML & AI from IIIT B (Executive) Executive PG in Data Science & ML from University of Maryland Advanced Certificate Program in Generative AI Executive PG Certificate in Machine Learning & NLP from IIITB Executive PG Certificate in Machine Learning & Deep Learning from IIITB ...
To get rid of the scaling differences, radiomics features were normalized using the z-score normalization method. The intra-class correlation coefficient (ICC) was first used to assess the reproducibility of radiomics feature extraction. Two radiologists re-segmented the randomly-selected 50 patients ...
Copy the contents of thisTensorListto an external pointer (of typectypes.c_void_p) residing in CPU memory. This function is used internally by plugins to interface with tensors from supported Deep Learning frameworks. data_ptr(self:nvidia.dali.backend_impl.TensorListCPU)→ object¶ ...
First, the architecture or learning algorithm level includes a variety of strategies, such as dropout, batch normalization, transfer learning, pre-training, early stopping, and limiting the number of parameters by filter size [49], [50]. Second, at the data level, data augmentation is ...
Batch normalizationPerformance modelingSkinCancer has a tremendous present impact on human existence due to its extremely high global death rate. Malignant melanoma of the skin accounts for 20 daily deaths in the United States. Malignant melanomas (MEL), basal cell carcinomas (BCC), actinic ...
Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing dis