Macro-F1 results comparison of seven widely used deep learning models under seven combinations of preprocessing methods (TQ-tax question dataset; TC-THUCNews).</p
Correlation of the QTc model and the Deep Neural Network (Deep Convolutional Network).</p
Accuracy comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
Correct classification rate for human operators and the best model reported by [6], together with th...
Macro-F1 results comparison of seven widely used deep learning models under seven combinations of pr...
Macro-F1 results comparison of four widely used machine learning models under seven combinations of ...
Macro-F1 results comparison of four widely used pre-training learning models under seven combination...
Macro-F1 comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
<p>The left three models directly classify from text, the right two models are concept-extraction ba...
(A) AUPR measures for different types of features. Statistical tests were performed as described in ...
Comprehensive comparison between the algorithm proposed in this paper and other deep learning algori...
(a) exhibits performance of different deep learning architectures in comparison with SMFM, each box ...
Comparison of machine learning model accuracy (ResNet101) with different combinations of analysis us...
Comparison of out-of-sample results for stock chart images using the SC-CNN model.</p
ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...
The comparison of the proposed approach (DeepFocus) and Lopez's approach [3] for each slide on the t...
Correlation of the QTc model and the Deep Neural Network (Deep Convolutional Network).</p
Accuracy comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
Correct classification rate for human operators and the best model reported by [6], together with th...
Macro-F1 results comparison of seven widely used deep learning models under seven combinations of pr...
Macro-F1 results comparison of four widely used machine learning models under seven combinations of ...
Macro-F1 results comparison of four widely used pre-training learning models under seven combination...
Macro-F1 comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
<p>The left three models directly classify from text, the right two models are concept-extraction ba...
(A) AUPR measures for different types of features. Statistical tests were performed as described in ...
Comprehensive comparison between the algorithm proposed in this paper and other deep learning algori...
(a) exhibits performance of different deep learning architectures in comparison with SMFM, each box ...
Comparison of machine learning model accuracy (ResNet101) with different combinations of analysis us...
Comparison of out-of-sample results for stock chart images using the SC-CNN model.</p
ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...
The comparison of the proposed approach (DeepFocus) and Lopez's approach [3] for each slide on the t...
Correlation of the QTc model and the Deep Neural Network (Deep Convolutional Network).</p
Accuracy comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
Correct classification rate for human operators and the best model reported by [6], together with th...
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