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ORCIDSGAI Conf. 2018: Cambridge, UK
- Max Bramer, Miltos Petridis:
Artificial Intelligence XXXV - 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11-13, 2018, Proceedings. Lecture Notes in Computer Science 11311, Springer 2018, ISBN 978-3-030-04190-8
Technical Papers
- Nawal Almutairi, Frans Coenen
, Keith Dures:
Secure Third Party Data Clustering Using \varPhi Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper). 3-17
Neural Networks
- Christian R. Huyck, Dainius Kreivenas:
Implementing Rules with Artificial Neurons. 21-33 - Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos:
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. 34-49 - Yuehu Ji, David Gamez, Christian R. Huyck:
A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought. 50-62 - Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm. 63-75
Planning and Scheduling
- Fernando Ropero, Pablo Muñoz, María D. R.-Moreno:
A Versatile Executive Based on T-REX for Any Robotic Domain. 79-91 - Filipo Studzinski Perotto, Laurent Vercouter:
Tuning the Discount Factor in Order to Reach Average Optimality on Deterministic MDPs. 92-105 - Fernando Ropero, Pablo Muñoz, María D. R.-Moreno:
A Strategical Path Planner for UGV-UAV Cooperation in Mars Terrains. 106-118
Machine Learning
- Joanna Jedrzejowicz, Piotr Jedrzejowicz:
GEP-Based Ensemble Classifier with Drift-Detection. 121-131 - Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Dynamic Process Workflow Routing Using Deep Learning. 132-142 - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. 143-155
Short Technical Papers
- Sally I. McClean, Naveed Khan, Adam R. Currie, Kashaf Khan:
Abnormality Detection in the Cloud Using Correlated Performance Metrics. 159-164 - Paul M. Roberts:
Directed Recursion Search: A Directed DFS for Online Pathfinding in Random Grid-Based Environments. 165-170 - Simon G. Thompson:
Modelling Trust Between Users and AI. 171-176 - Nikos Karanikolas, Madalina Croitoru, Pierre Bisquert, Christos Kaklamanis, Rallou Thomopoulos, Bruno Yun:
Multi-criteria Decision Making with Existential Rules Using Repair Techniques. 177-183 - Craig Davies, Nirmalie Wiratunga, Kyle Martin:
GramError: A Quality Metric for Machine Generated Songs. 184-190 - Habiba Muhammad Sani, Ci Lei, Daniel Neagu:
Computational Complexity Analysis of Decision Tree Algorithms. 191-197 - Paulo Novais, Filipe Gonçalves, Dalila Durães:
Forecasting Student's Preference in E-learning Systems. 198-203 - Jan P. Vox, Frank Wallhoff:
Human Motion Recognition Using 3D-Skeleton-Data and Neural Networks. 204-209 - Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis:
Autonomous Swarm Agents Using Case-Based Reasoning. 210-216
Application Papers
- Johannes Stübinger, Julian Knoll:
Beat the Bookmaker - Winning Football Bets with Machine Learning (Best Application Paper). 219-233
Industrial Applications of Artificial Intelligence
- Paul N. Taylor, Stephanie Kiss:
Rule-Mining and Clustering in Business Process Analysis. 237-249 - Signe Moe, Anne Marthine Rustad, Kristian G. Hanssen:
Machine Learning in Control Systems: An Overview of the State of the Art. 250-265 - Sara AlShizawi, Siddhartha Shakya, Andrzej Stefan Sluzek, Russell Ainslie, Gilbert Owusu:
Predicting Fluid Work Demand in Service Organizations Using AI Techniques. 266-276 - Mary Dimitropoulaki, Mathias Kern, Gilbert Owusu, Alistair McCormick:
Workforce Rostering via Metaheuristics. 277-290
Planning and Scheduling in Action
- Chenlu Ji, Rupal Mandania, Jiyin Liu, Anne Liret, Mathias Kern:
Incorporating Risk in Field Services Operational Planning Process. 293-307
Machine Learning in Action
- Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern:
Risk Information Recommendation for Engineering Workers. 311-325 - Saleh Alyahyan, Wenjia Wang:
Generalised Decision Level Ensemble Method for Classifying Multi-media Data. 326-339
Applications of Machine Learning
- Kumar Rahul, Nandini Seth, U. Dinesh Kumar:
Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection. 343-356 - Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar:
Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge. 357-371 - Kennedy Senagi, Nicolas Jouandeau:
Confidence in Random Forest for Performance Optimization. 372-386
Applications of Agent Systems and Genetic Algorithms
- Lukas Günthermann, John Kingston:
Designing a Website Using a Genetic Algorithm. 389-402 - John K. C. Kingston:
Regulated Information Sharing and Pattern Recognition for Smart Cities. 403-415 - Syed K. Aslam, William J. Faithfull, William John Teahan:
A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo. 416-430
Short Application Papers
- Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway:
A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem. 433-439 - Pooja Mohanty, Nuria Agell Jane, Monica Casabayo Bonas:
Identifying Variables to Define Innovator Group in the Healthy Food Industry: A Fuzzy Approach. 440-445 - Eleftherios Bandis, Miltos Petridis, Stelios Kapetanakis:
Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry. 446-451
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