Artificial Neural Networks and Machine Learning ICANN 2022 1st Edition by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin ISBN 9783031159305 3031159306

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ISBN 10: 3031159306
ISBN 13: 9783031159305
Author: Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin

Artificial Neural Networks and Machine Learning ICANN 2022 1st Edition Table of contents:

1. Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation
2. Cooperative Multi-agent Reinforcement Learning with Hierachical Communication Architecture
3. Emotion Aware Reinforcement Network for Visual Storytelling
4. Long-Horizon Route-Constrained Policy for Learning Continuous Control Without Exploration
5. Model-Based Offline Adaptive Policy Optimization with Episodic Memory
6. Multi-mode Light: Learning Special Collaboration Patterns for Traffic Signal Control
7. Pheromone-inspired Communication Framework for Large-scale Multi-agent Reinforcement Learning
8. Reinforcement Learning for the Pickup and Delivery Problem
9. Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming
10. Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm
11. Word-by-Word Generation of Visual Dialog Using Reinforcement Learning
12. A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
13. Adaptive Knowledge Distillation for Efficient Relation Classification
14. An Adversarial Multi-task Learning Method for Chinese Text Correction with Semantic Detection
15. An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations
16. Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding
17. Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter
18. Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels
19. Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
20. Integrating Label Semantic Similarity Scores into Multi-label Text Classification
21. Learning Flexible Translation Between Robot Actions and Language Descriptions
22. Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture
23. MTHGAT: A Neural Multi-task Model for Aspect Category Detection and Aspect Term Sentiment Analysis on Restaurant Reviews
24. Multi-task Alignment Scheme for Span-level Aspect Sentiment Triplet Extraction
25. SSMFRP: Semantic Similarity Model for Relation Prediction in KBQA Based on Pre-trained Models
26. SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis
27. Word Embeddings with Fuzzy Ontology Reasoning for Feature Learning in Aspect Sentiment Analysis
28. 3D Face Reconstruction with Geometry Details from a Single Color Image Under Occluded Scenes
29. A Transformer-Based GAN for Anomaly Detection
30. AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework
31. Continual Learning by Task-Wise Shared Hidden Representation Alignment
32. Contrast and Aggregation Network for Generalized Zero-shot Learning
33. DT2I: Dense Text-to-Image Generation from Region Descriptions
34. Image Inpainting Based Multi-scale Gated Convolution and Attention
35. Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation
36. Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model
37. Progressive Image Restoration with Multi-stage Optimization
38. A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)
39. Decoupled Representation Network for Skeleton-Based Hand Gesture Recognition
40. Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks
41. GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge
42. Heterogeneous Graph Attention Network for Malicious Domain Detection
43. IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction
44. Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation
45. Learning Hierarchical Graph Convolutional Neural Network for Object Navigation
46. Low-Level Graph Convolution Network for Point Cloud Processing
47. Low-Resource Similar Case Matching in Legal Domain
48. Message Passing Neural Networks for Hypergraphs
49. Multiscale Spatial and Temporal Learning for Human Motion Prediction
50. Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting
51. Parallel Message Passing in Dual-space on Graphs
52. Parallel Relationship Graph to Improve Multi-Document Summarization
53. SNNet: Specific Node Network of Human Parsing
54. Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning
55. : Spatial and Temporal Transformer for Pose Estimation
56. Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks
57. Temporal Graph Transformer for Dynamic Network
58. Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks
59. Weight-Aware Graph Contrastive Learning
60. Why Deeper Graph Neural Network Performs Worse? Discussion and Improvement About Deep GNNs
61. A Long and Short Term Preference Model for Next Point of Interest Recommendation
62. A Multi-stack Denoising Autoencoder for QoS Prediction
63. CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems
64. Conditioned Variational Autoencoder for Top-N Item Recommendation
65. Personalized Headline Generation with Enhanced User Interest Perception
66. Correction to: A Multi-stack Denoising Autoencoder for QoS Prediction
67. Correction to: Artificial Neural Networks and Machine Learning – ICANN 2022

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Tags: Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin, Artificial Neural Networks, Machine Learning