Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings 1st Edition by Max Bramer, Miltos Petridis ISBN 3030348857 9783030348854

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Product details:

ISBN 10: 3030348857

ISBN 13: 978-3030348854

Author:  Max Bramer, Miltos Petridis 

Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings 1st Edition : 

 

Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings 1st Edition Table of contents:

1. Technical Paper
2. CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper)
3. Machine Learning, Knowledge Discovery and Data Mining
4. Purity Filtering: An Instance Selection Method for Support Vector Machines
5. Towards Model-Based Reinforcement Learning for Industry-Near Environments
6. Stepwise Evolutionary Learning Using Deep Learned Guidance Functions
7. Monotonicity Detection and Enforcement in Longitudinal Classification
8. Understanding Structure of Concurrent Actions
9. Agents, Knowledge Acquisition and Ontologies
10. Demonstrating the Distinctions Between Persuasion and Deliberation Dialogues
11. Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities
12. Exposing Knowledge: Providing a Real-Time View of the Domain Under Study for Students
13. Short Technical Papers
14. A General Approach to Exploit Model Predictive Control for Guiding Automated Planning Search in Hybrid Domains
15. A Tsetlin Machine with Multigranular Clauses
16. Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows
17. WVD: A New Synthetic Dataset for Video-Based Violence Detection
18. Application Paper
19. Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper)
20. Medical Applications
21. Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data
22. Motif Discovery in Long Time Series: Classifying Phonocardiograms
23. Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing
24. Applications of Evolutionary Algorithms
25. GenMuse: An Evolutionary Creativity Enhancement Tool
26. Evolutionary Art with an EEG Fitness Function
27. A Multi-objective Design of In-Building Distributed Antenna System Using Evolutionary Algorithms
28. Machine Learning for Time Series Data
29. Investigation of Machine Learning Techniques in Forecasting of Blood Pressure Time Series Data
30. Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models
31. Effective Sub-Sequence-Based Dynamic Time Warping
32. Applications of Machine Learning
33. Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users
34. A Generic Model for End State Prediction of Business Processes Towards Target Compliance
35. An Investigation of the Accuracy of Real Time Speech Emotion Recognition
36. Contributing Features-Based Schemes for Software Defect Prediction
37. Induction Motor Inter-turn Short Circuit Fault Detection Using Efficient Feature Extraction for Machine Learning Based Fault Detectors
38. Hybrid Feature Selection Method for Improving File Fragment Classification
39. Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks
40. Stochastic Local Search Based Feature Selection for Intrusion Detection
41. Knowledge Acquisition
42. Improving the Adaptation Process for a New Smart Home User
43. Short Application Papers
44. Analysis of Electronic Health Records to Identify the Patient’s Treatment Lines: Challenges and Opportunities
45. Characterisation of VBM Algorithms for Processing of Medical MRI Images
46. Analogical News Angles from Text Similarity
47. Mindfulness Mirror
48. Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance
49. Data Augmentation for Ambulatory EEG Based Cognitive State Taxonomy System with RNN-LSTM
50. Time-Series-Based Classification of Financial Forecasting Discrepancies
51. Predicting Soil pH by Using Nearest Fields
52. Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning
53. On Selection of Optimal Classifiers

 

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