Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw

生手

書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)




書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing被引頻次




書(shū)目名稱(chēng)Neural Information Processing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing年度引用




書(shū)目名稱(chēng)Neural Information Processing年度引用學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing讀者反饋




書(shū)目名稱(chēng)Neural Information Processing讀者反饋學(xué)科排名

calorie

0302-9743 Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies,

闡釋

An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences that the presence of gliomas in brain tissue can be classified. We also visually analyze extracted features from the different modalities and networks with an aim to improve the interpretability and analysis of the performance obtained. We apply our study on the MRI sequences that are obtained from BraTS datasets.

Culpable

過(guò)度

A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognitiony responses from both eyes are available. It also shows that genetic algorithm based feature selection method can effectively improve the classification accuracy by 3.1%. We hope our work could help current research such as human machine interaction and psychology studies that require emotion recognition.

conifer

Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Dith diverse input text presentations, meanwhile produce acceptable synthetic CS speech with more than 4.0 Mean Opinion Score (MOS). We also find that the result will be improved if the mix-lingual data set is augmented with monolingual English data.

現(xiàn)代

DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCNrk structure with dual fusion on both features and decisions can take advantage of the two different networks to improve the prediction for the decision, without the significant increase in computation. Compared with other deep-learning-based models, our experiment presents competitive results on the large-scale driving dataset BDDV.

階層

Auto-Classifier: A Robust Defect Detector Based on an AutoML Heade of Convolutional Neural Networks achieves better results than traditional methods, and also, that Auto-Classifier out-performs all other methods, by achieving 100% accuracy and 100% AUC results throughout all the datasets.

indoctrinate

Bionic Vision Descriptor for Image Retrievalo accelerate the calculation of BVD. Experimental results show that our method outperforms other state-of-the-art traditional descriptors with less runtime and fewer initial dimensions on benchmark datasets.

daredevil