Artificial Neural Networks and Machine Learning ICANN 2018 27th International Conference on Artificial Neural Networks Rhodes Greece October 4 7 2018 Proceedings Part III 1st Edition by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis ISBN 3030014231 978-3030014230

Artificial Neural Networks and Machine Learning ICANN 2018 27th International Conference on Artificial Neural Networks Rhodes Greece October 4 7 2018 Proceedings Part III 1st Edition by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis – Ebook PDF Instant Download/Delivery: 3030014231, 978-3030014230 

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Product details:

ISBN 10: 3030014231 

ISBN 13: 978-3030014230 

Author: Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27^th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from  total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Table of contents: 

1. Rank-revealing orthogonal decomposition in extreme learning machine design

2. An improved CAD framework for digital mammogram classification using compound local binary pattern and chaotic whale optimization-based kernel extreme learning machine

3. A novel echo state network model using Bayesian ridge regression and independent component analysis

4. A model for detection of angular velocity of image motion based on the temporal tuning of the drosophila

5. Local decimal pattern for pollen image recognition

6. New architecture of correlated weights neural network for global image transformations

7. Compression-based clustering of video human activity using an ASCII encoding

8. Deep autoencoders for additional insight into protein dynamics

9. Pilot design of a rule-based system and an artificial neural network to risk evaluation of atherosclerotic plaques in long-range clinical research

10. A multi-channel multi-classifier method for classifying pancreatic cystic neoplasms based on ResNet

11. Breast cancer histopathological image classification via deep active learning and confidence boosting

12. Epileptic seizure prediction from EEG signals using unsupervised learning and a polling-based decision process

13. Classification of bone tumor on CT images using deep convolutional neural network

14. DSL: Automatic liver segmentation with Faster R-CNN and DeepLab

15. Temporal convolution networks for real-time abdominal fetal aorta analysis with ultrasound

16. An original neural network for pulmonary tuberculosis diagnosis in radiographs

17. Computerized counting-based system for acute lymphoblastic leukemia detection in microscopic blood images

18. Right ventricle segmentation in cardiac MR images using U-Net with partly dilated convolution

19. Model based on support vector machine for the estimation of the heart rate variability

20. High-resolution generative adversarial neural networks applied to histological images generation

21. Tensor learning in multi-view kernel PCA

22. ACM: Learning dynamic multi-agent cooperation via attentional communication model

23. Improving fuel economy with LSTM networks and reinforcement learning

24. Action markets in deep multi-agent reinforcement learning

25. Continuous-time spike-based reinforcement learning for working memory tasks

26. Reinforcement learning for joint extraction of entities and relations

27. TextNet for Text-Related Image Quality Assessment

28. A Target Dominant Sets Clustering Algorithm

29. Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network

30. A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation

31. Check Regularization: Combining Modularity and Elasticity for Memory Consolidation

32. Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations

33. Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings

34. Imbalanced Data Classification Based on MBCDK-means Undersampling and GA-ANN

35. Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals

36. An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization

37. A Bio-Feasible Computational Circuit for Neural Activities Persisting and Decaying

38. Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit

39. A Temporal Estimate of Integrated Information for Intracranial Functional Connectivity

40. Randomization vs Optimization in SVM Ensembles

41. An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities

42. A Hierarchy Based Influence Maximization Algorithm in Social Networks

43. Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification

44. Classification of SIP Attack Variants with a Hybrid Self-enforcing Network

45. Generalized Multi-view Unsupervised Feature Selection

46. Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning

47. Emergence of Sensory Representations Using Prediction in Partially Observable Environments

48. Change Detection in Individual Users’ Behavior

49. Extraction and Localization of Non-contaminated Alpha and Gamma Oscillations from EEG Signal Using Finite Impulse Response, Stationary Wavelet Transform, and Custom FIR

50. Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor

51. Computation of Air Traffic Flow Management Performance with Long Short-Term Memories Considering Weather Impact

52. A Study on the Influence of Wavelet Number Change in the Wavelet Neural Network Architecture for 3D Mesh Deformation Using Trust Region Spherical Parameterization

53. Combining Memory and Non-linearity in Echo State Networks

54. A Neural Network of Multiresolution Wavelet Analysis

55. Fast Supervised Selection of Prototypes for Metric-Based Learning

56. Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization

57. Incorporating Worker Similarity for Label Aggregation in Crowdsourcing

58. NoSync: Particle Swarm Inspired Distributed DNN Training

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Tags: Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis, Artificial Neural Networks, Machine Learning