Artificial Intelligence XXXIV: 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings (Lecture Notes in Computer Science, 10630)

"This book constitutes the proceedings of the 37th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2017, held in Cambridge, UK, in December 2017. The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 55 submissions. There are technical and application papers which were organized in topical sections named: machine learning and neural networks; machine learning, speech and vision and fuzzy logic; short technical papers; AI for healthcare; applications of machine learning; applications of neural networks and fuzzy logic; case-based reasoning; AI techniques; and short applications papers" -- OhioLink Front Matter ....Pages I-XIV Front Matter ....Pages 1-2 Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper) (Lisa Grumbach, Ralph Bergmann)....Pages 3-17 Front Matter ....Pages 19-19 Masked Conditional Neural Networks for Environmental Sound Classification (Fady Medhat, David Chesmore, John Robinson)....Pages 21-33 Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting (Sascha Krstanovic, Heiko Paulheim)....Pages 34-46 A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques (Vasileios Manousakis Kokorakis, Miltos Petridis, Stelios Kapetanakis)....Pages 47-57 Front Matter ....Pages 59-59 Programming Without Program or How to Program in Natural Language Utterances (Martin J. Wheatman)....Pages 61-71 Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines (Sahar Arshi, Darryl N. Davis)....Pages 72-86 Measuring Relations Between Concepts in Conceptual Spaces (Lucas Bechberger, Kai-Uwe Kühnberger)....Pages 87-100 Towards a Deep Reinforcement Learning Approach for Tower Line Wars (Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo)....Pages 101-114 Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries (Manal Almutairi, Frederic Stahl, Max Bramer)....Pages 115-128 Front Matter ....Pages 129-129 Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networks (Isabel Sargent, Jonathon Hare, David Young, Olivia Wilson, Charis Doidge, David Holland et al.)....Pages 131-136 Quantization Error-Based Regularization in Neural Networks (Kazutoshi Hirose, Kota Ando, Kodai Ueyoshi, Masayuki Ikebe, Tetsuya Asai, Masato Motomura et al.)....Pages 137-142 Knowledge Transfer in Neural Language Models (Peter John Hampton, Hui Wang, Zhiwei Lin)....Pages 143-148 Emotion Recognition in Text Using PPM (Amer Almahdawi, William John Teahan)....Pages 149-155 An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams (Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe)....Pages 156-162 A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation (Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen)....Pages 163-168 Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents (Soufiane Boulehouache, Ramdane Maamri, Zaidi Sahnoun)....Pages 169-174 Front Matter ....Pages 175-176 Cable Belief Networks (Best Application Paper) (Andrew Ferguson, Simon Thompson)....Pages 177-189 Front Matter ....Pages 191-191 Towards the Integration of Prescription Analytics into Health Policy and General Practice (Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin et al.)....Pages 193-206 An Ontology to Support Knowledge Management in Behaviour-Based Healthcare (John Kingston, Nathaniel Charlton)....Pages 207-216 Using Semantic Web Technologies to Underpin the SNOMED CT Query Language (Mercedes Arguello Casteleiro, Dmitry Tsarkov, Bijan Parsia, Ulrike Sattler)....Pages 217-231 Front Matter ....Pages 233-233 Feature Level Ensemble Method for Classifying Multi-media Data (Saleh Alyahyan, Wenjia Wang)....Pages 235-249 Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes (P. G. Byrnes, F. A. DiazDelaO)....Pages 250-263 Algorithms and Architecture for Real-Time Recommendations at News UK (Dion Bailey, Tom Pajak, Daoud Clarke, Carlos Rodriguez)....Pages 264-277 Customer Contact Journey Prediction (Paul N. Taylor)....Pages 278-290 Front Matter ....Pages 291-291 A Better Predictor of Marathon Race Times Based on Neural Networks (Dimitris C. Dracopoulos)....Pages 293-299 Fuzzy Logic Based Personalized Task Recommendation System for Field Services (Ahmed Mohamed, Aysenur Bilgin, Anne Liret, Gilbert Owusu)....Pages 300-312 Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure (Dewal Mishra, A. K. Sarkar)....Pages 313-321 Front Matter ....Pages 323-323 Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning (Adeyinka Adedoyin, Stelios Kapetanakis, Georgios Samakovitis, Miltos Petridis)....Pages 325-337 Predicting Dust Storms Using Hybrid Intelligence System (Tariq Saad Al Murayziq, Stelios Kapetanakis, Miltos Petridis)....Pages 338-351 Front Matter ....Pages 353-353 Decision Support System for Green Real-Life Field Scheduling Problems (Yizi Zhou, Anne Liret, Jiyin Liu, Emmanuel Ferreyra, Rupal Rana, Mathias Kern)....Pages 355-369 Multi-label Classification of Movie Posters into Genres with Rakel Ensemble Method (Marina Ivasic-Kos, Miran Pobar)....Pages 370-383 Parameter Search for a Small Swarm of AUVs Using Particle Swarm Optimisation (Christoph Tholen, Lars Nolle)....Pages 384-396 Front Matter ....Pages 397-397 Deep Learning for Classification of Bi-Lingual Ads in Online Classifieds (Axel Tidemann)....Pages 399-404 Enhancing Symmetry in GAN Generated Fashion Images (Vishnu Makkapati, Arun Patro)....Pages 405-410 Predicting Service Levels Using Neural Networks (Russell Ainslie, John McCall, Sid Shakya, Gilbert Owusu)....Pages 411-416 Using Machine Learning for Dynamic Multicast Capacity Planning (Vidhyalakshmi Karthikeyan, Detlef D. Nauck, Miguel Rio)....Pages 417-422 Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data (Lars Nolle, Jens Werner)....Pages 423-428 Back Matter ....Pages 429-430 Annotation This book constitutes the proceedings of the 37th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2017, held in Cambridge, UK, in December 2017. The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 55 submissions. There are technical and application papers which were organized in topical sections named: machine learning and neural networks; machine learning, speech and vision and fuzzy logic; short technical papers; AI for healthcare; applications of machine learning; applications of neural networks and fuzzy logic; case-based reasoning; AI techniques; and short applications papers