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Found 5 papers, 1 papers with code
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits
Our experimental results demonstrate that ML techniques can provide an objective and quantitative evaluation of pain intensity levels for all three types of hospital visits.
N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip Connections
Following a preliminary pruning step, N2NSkip connections are randomly added between individual neurons/channels of the pruned network, while maintaining the overall sparsity of the network.
Implementation of fast ICA using memristor crossbar arrays for blind image source separations
The experimental results demonstrate that the proposed approach is very effective to separate image sources, and also the contrast of the images are improved with an improvement factor in terms of percentage of structural similarity as 67. 27% when compared with the software-based implementation of conventional ACY ICA and Fast ICA algorithms.
Exploring Hate Speech Detection with HateXplain and BERT
We tune BERT to perform this task in the form of rationales and class prediction, and compare our performance on different metrics spanning across accuracy, explainability and bias.
A neuromorphic approach to image processing and machine vision
Throughout the span of this paper, we have emphasized on the employment of non-volatile memory devices such as memristors to realize artificial visual systems.
