Искусственный интеллект XXXV 38-й СГАИ Брамера
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Artificial intelligence XXXV : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11-13, 2018 : proceedings /
Author(s): Bramer, Max A.,; 1948- ; (Editor), Miltos Petridis (editor)
Conf Author(s): SGAI International Conference on Artificial Intelligence (38. : 2018 : Cambridge), (Author)
Publication: Springer
Year: 2018
Description: XIV, 454 Seiten : Illustrationen, Diagramme
Language: English
Series: 11311; Lecture notes in artificial intelligence; Variation: Lecture notes in computer science ;; 11311 : Lecture notes in artificial intelligence.
Standard No: ISBN: 9783030041908; 3030041905
SUBJECT(S) Descriptor:
Computer science.
Algorithms.
Artificial intelligence.
Application software.
Computer Science.
Artificial Intelligence (incl. Robotics)
Computer Appl. in Administrative Data Processing.
Algorithm Analysis and Problem Complexity.
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Introduction
This book constitutes the proceedings of the 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018, held in Cambridge, UK, in December 2018.
The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 46 submissions. There are technical and application papers which were organized in topical sections named: Neural Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine Learning in Action; Applications of Machine Learning; and Applications of Agent Systems and Genetic Algorithms.
Keywords
artificial intelligence Business Process Management (BPM) case based reasoning classification data mining decision trees genetic algorithms Human-Computer Interaction (HCI) information retrieval intelligent agents knowledge-based system learning algorithms machine learning Multi-Agent Systems (MAS) neural networks robotics robots sensors web services World Wide Web
Editors and affiliations
- Max Bramer
1
- Miltos Petridis
2
- 1.University of PortsmouthPortsmouthUK
- 2.Middlesex UniversityLondonUK
Technical Papers
Pages 1-2
- Secure Third Party Data Clustering Using Φ
Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper)
Nawal Almutairi, Frans Coenen, Keith Dures
Pages 3-17
- Neural Networks
Pages 19-19
- Implementing Rules with Artificial Neurons
Christian Huyck, Dainius Kreivenas
Pages 21-33
- Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks
Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos
Pages 34-49
- A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought
Yuehu Ji, David Gamez, Christian Huyck
Pages 50-62
- Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm
- Chimatapu, H. Hagras, A. J. Starkey, G. Owusu
Pages 63-75
- Planning and Scheduling
Pages 77-77
- A Versatile Executive Based on T-REX for Any Robotic Domain
Fernando Ropero, Pablo Muñoz, María D. R-Moreno
Pages 79-91
- Tuning the Discount Factor in Order to Reach Average Optimality on Deterministic MDPs
Filipo Studzinski Perotto, Laurent Vercouter
Pages 92-105
- A Strategical Path Planner for UGV-UAV Cooperation in Mars Terrains
Fernando Ropero, Pablo Muñoz, María D. R-Moreno
Pages 106-118
- Machine Learning
Pages 119-119
- GEP-Based Ensemble Classifier with Drift-Detection
Joanna Jȩdrzejowicz, Piotr Jȩdrzejowicz
Pages 121-131
- Dynamic Process Workflow Routing Using Deep Learning
Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis
Pages 132-142
- The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Pages 143-155
- Short Technical Papers
Pages 157-157
- Abnormality Detection in the Cloud Using Correlated Performance Metrics
Sally McClean, Naveed Khan, Adam Currie, Kashaf Khan
Pages 159-164
- Directed Recursion Search: A Directed DFS for Online Pathfinding in Random Grid-Based Environments
Paul M. Roberts
Pages 165-170
- Modelling Trust Between Users and AI
Simon Thompson
Pages 171-176
- Multi-criteria Decision Making with Existential Rules Using Repair Techniques
Nikos Karanikolas, Madalina Croitoru, Pierre Bisquert, Christos Kaklamanis, Rallou Thomopoulos, Bruno Yun
Pages 177-183
- GramError: A Quality Metric for Machine Generated Songs
Craig Davies, Nirmalie Wiratunga, Kyle Martin
Pages 184-190
- Computational Complexity Analysis of Decision Tree Algorithms
Habiba Muhammad Sani, Ci Lei, Daniel Neagu
Pages 191-197
- Forecasting Student’s Preference in E-learning Systems
Paulo Novais, Filipe Gonçalves, Dalila Durães
Pages 198-203
- Human Motion Recognition Using 3D-Skeleton-Data and Neural Networks
Jan P. Vox, Frank Wallhoff
Pages 204-209
- Autonomous Swarm Agents Using Case-Based Reasoning
Daniel O’Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael Floyd, Santiago Ontañon, Miltos Petridis
Pages 210-216
- Application Papers
Pages 217-218
- Beat the Bookmaker – Winning Football Bets with Machine Learning (Best Application Paper)
Johannes Stübinger, Julian Knoll
Pages 219-233
- Industrial Applications of Artificial Intelligence
Pages 235-235
- Rule-Mining and Clustering in Business Process Analysis
Paul N. Taylor, Stephanie Kiss
Pages 237-249
- Machine Learning in Control Systems: An Overview of the State of the Art
Signe Moe, Anne Marthine Rustad, Kristian G. Hanssen
Pages 250-265
- Predicting Fluid Work Demand in Service Organizations Using AI Techniques
Sara AlShizawi, Siddhartha Shakya, Andrzej Stefan Sluzek, Russell Ainslie, Gilbert Owusu
Pages 266-276
- Workforce Rostering via Metaheuristics
Mary Dimitropoulaki, Mathias Kern, Gilbert Owusu, Alistair McCormick
Pages 277-290
- Planning and Scheduling in Action
Pages 291-291
- Incorporating Risk in Field Services Operational Planning Process
Chenlu Ji, Rupal Mandania, Jiyin Liu, Anne Liret, Mathias Kern
Pages 293-307
- Machine Learning in Action
Pages 309-309
- Risk Information Recommendation for Engineering Workers
Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern
Pages 311-325
- Generalised Decision Level Ensemble Method for Classifying Multi-media Data
Saleh Alyahyan, Wenjia Wang
Pages 326-339
- Applications of Machine Learning
Pages 341-341
- Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection
Kumar Rahul, Nandini Seth, U. Dinesh Kumar
Pages 343-356
- Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge
Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar
Pages 357-371
- Confidence in Random Forest for Performance Optimization
Kennedy Senagi, Nicolas Jouandeau
Pages 372-386
- Applications of Agent Systems and Genetic Algorithms
Pages 387-387
- Designing a Website Using a Genetic Algorithm
Lukas Günthermann, John Kingston
Pages 389-402
- Regulated Information Sharing and Pattern Recognition for Smart Cities
John K. C. Kingston
Pages 403-415
- A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo
Syed K. Aslam, William J. Faithful, William J. Teahan
Pages 416-430
- Short Application Papers
Pages 431-431
- A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem
Reginald Ankrah, Benjamin Lacroix, John McCall, Andrew Hardwick, Anthony Conway
Pages 433-439
- Identifying Variables to Define Innovator Group in the Healthy Food Industry: A Fuzzy Approach
Pooja Mohanty, Nuria Agell Jane, Monica Casabayo Bonas
Pages 440-445
- Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry
Eleftherios Bandis, Miltos Petridis, Stelios Kapetanakis
Pages 446-451
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