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05/05/2023
Reduction of Class Activation Uncertainty with Background Information
Multitask learning is a popular approach to training high-performing neu...
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04/27/2023
Uncertainty Aware Neural Network from Similarity and Sensitivity
Researchers have proposed several approaches for neural network (NN) bas...
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09/20/2022
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
This paper proposes transferred initialization with modified fully conne...
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03/23/2022
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review
With the advent of smart devices, the demand for various computational p...
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10/14/2021
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
This study aims to explore different pre-trained models offered in the T...
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07/07/2020
SpinalNet: Deep Neural Network with Gradual Input
Over the past few years, deep neural networks (DNNs) have garnered remar...
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12/30/2019
