Искусственный интеллект XXXV 38-й СГАИ Брамера

Sprzedam książkę :

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. 1.University of PortsmouthPortsmouthUK
2. 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

1. 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

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• 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