Intelligence Science and Big Data Engineering Big Data and Machine Learning 9th International Conference IScIDE 2019 Nanjing China October 17 20 2019 Proceedings Part II 1st Edition by Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang ISBN 9783030362034 3030362035

Intelligence Science and Big Data Engineering Big Data and Machine Learning 9th International Conference IScIDE 2019 Nanjing China October 17 20 2019 Proceedings Part II 1st Edition by Zhen Cui,  Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang- Ebook PDF Instant Download/Delivery: 9783030362034, 3030362035

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Product details:

ISBN 10: 3030362035

ISBN 13: 9783030362034

Author: Zhen Cui,  Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.

The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Table of contents: 

1. Analysis of WLAN’s Receiving Signal Strength Indication for Indoor Positioning

2. Computational Decomposition of Style for Controllable and Enhanced Style Transfer

3. Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning

4. Non-local MMDenseNet with Cross-Band Features for Audio Source Separation

5. A New Method of Metaphor Recognition for A-is-B Model in Chinese Sentences

6. Layerwise Recurrent Autoencoder for Real-World Traffic Flow Forecasting

7. Mining Meta-association Rules for Different Types of Traffic Accidents

8. Reliable Domain Adaptation with Classifiers Competition

9. An End-to-End LSTM-MDN Network for Projectile Trajectory Prediction

10. DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network

11. Epileptic Seizure Prediction Based on Convolutional Recurrent Neural Network with Multi-Timescale

12. L2R-QA: An Open-Domain Question Answering Framework

13. Attention Relational Network for Few-Shot Learning

14. Syntactic Analysis of Power Grid Emergency Pre-plans Based on Transfer Learning

15. Improved CTC-Attention Based End-to-End Speech Recognition on Air Traffic Control

16. Revisit Lmser from a Deep Learning Perspective

17. A New Network Traffic Identification Base on Deep Factorization Machine

18. 3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction

19. Data Augmentation for Deep Learning of Judgment Documents

20. An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification

21. LLN-SLAM: A Lightweight Learning Network Semantic SLAM

22. Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking

23. Robust Nonnegative Matrix Factorization Based on Cosine Similarity Induced Metric

24. Intellectual Property in Colombian Museums: An Application of Machine Learning

25. Hybrid Matrix Factorization for Multi-view Clustering

26. Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning

27. A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification

28. Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling

29. Robustness of Network Controllability Against Cascading Failure

30. Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia

31. A Joint Bitrate and Buffer Control Scheme for Low-Latency Live Streaming

32. Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples

33. Accelerate Black-Box Attack with White-Box Prior Knowledge

34. A Dynamic Model + BFR Algorithm for Streaming Data Sorting

35. Smartphone Behavior Based Electronical Scale Validity Assessment Framework

36. Discrimination Model of QAR High-Severity Events Using Machine Learning

37. A New Method of Improving BERT for Text Classification

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Tags: Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang, Intelligence Science, Big Data Engineering, Machine Learning, Nanjing China, Proceedings