Optimized Ensemble Approach for Multi-model Event Detection in Big data

To identify conflicts between normative sentences, we use the same pretrained weights to train a neural network by finetuning to the task of norm conflict classification using

multi-view approach, termed Deep-MVLM, was proposed in [38] and predicts 3D landmarks using different 2D model views that are fed to a DL network. For the point

The standard approach of community detection algorithms based on the DCSBM is to search for the model parameters which are the most likely to have produced the observed network

Values for the F1 score, recall, and precision for transfer learning models Using pre-trained deep convolutional neural networks such VGG-16, ResNet50, and InceptionV3 that were