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ORCIDSGAI Conf. 2017: Cambridge, UK
- Max Bramer, Miltos Petridis:
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, Springer 2017, ISBN 978-3-319-71077-8
Technical Stream Papers
- Lisa Grumbach
, Ralph Bergmann:
Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper). 3-17
Machine Learning and Neural Networks
- Fady Medhat, David Chesmore, John Robinson:
Masked Conditional Neural Networks for Environmental Sound Classification. 21-33 - Sascha Krstanovic, Heiko Paulheim:
Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting. 34-46 - Vasileios Manousakis Kokorakis, Miltos Petridis, Stelios Kapetanakis:
A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques. 47-57
Machine Learning, Speech and Vision and Fuzzy Logic
- Martin J. Wheatman:
Programming Without Program or How to Program in Natural Language Utterances. 61-71 - Sahar Arshi, Darryl N. Davis:
Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines. 72-86 - Lucas Bechberger, Kai-Uwe Kühnberger:
Measuring Relations Between Concepts in Conceptual Spaces. 87-100 - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. 101-114 - Manal Almutairi, Frederic T. Stahl, Max Bramer:
Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries. 115-128
Short Technical Papers
- Isabel Sargent, Jonathon S. Hare, David Young, Olivia Wilson, Charis Doidge, David Holland, Peter M. Atkinson:
Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networks. 131-136 - Kazutoshi Hirose, Kota Ando, Kodai Ueyoshi, Masayuki Ikebe, Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki:
Quantization Error-Based Regularization in Neural Networks. 137-142 - Peter John Hampton, Hui Wang, Zhiwei Lin:
Knowledge Transfer in Neural Language Models. 143-148 - Amer Almahdawi, William John Teahan:
Emotion Recognition in Text Using PPM. 149-155 - Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe:
An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams. 156-162 - Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen:
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. 163-168 - Soufiane Boulehouache, Ramdane Maamri, Zaïdi Sahnoun:
Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents. 169-174
Application Stream Papers
- Andrew Ferguson, Simon G. Thompson:
Cable Belief Networks (Best Application Paper). 177-189
AI for Healthcare
- Brian Cleland, Jonathan G. Wallace, Raymond R. Bond, Michaela M. Black, Maurice D. Mulvenna, Deborah M. Rankin, Austin Tanney:
Towards the Integration of Prescription Analytics into Health Policy and General Practice. 193-206 - John Kingston, Nathaniel Charlton:
An Ontology to Support Knowledge Management in Behaviour-Based Healthcare. 207-216 - Mercedes Argüello Casteleiro, Dmitry Tsarkov, Bijan Parsia, Ulrike Sattler:
Using Semantic Web Technologies to Underpin the SNOMED CT Query Language. 217-231
Applications of Machine Learning
- Saleh Alyahyan, Wenjia Wang:
Feature Level Ensemble Method for Classifying Multi-media Data. 235-249 - P. G. Byrnes, F. A. DiazDelaO:
Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes. 250-263 - Dion Bailey, Tom Pajak, Daoud Clarke, Carlos Rodriguez:
Algorithms and Architecture for Real-Time Recommendations at News UK. 264-277 - Paul N. Taylor:
Customer Contact Journey Prediction. 278-290
Applications of Neural Networks and Fuzzy Logic
- Dimitris C. Dracopoulos:
A Better Predictor of Marathon Race Times Based on Neural Networks. 293-299 - Ahmed Mohamed, Aysenur Bilgin, Anne Liret, Gilbert Owusu:
Fuzzy Logic Based Personalized Task Recommendation System for Field Services. 300-312 - Dewal Mishra, A. K. Sarkar:
Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure. 313-321
Case-Based Reasoning
- Adeyinka Adedoyin, Stelios Kapetanakis, Georgios Samakovitis, Miltos Petridis:
Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning. 325-337 - Tariq Saad Al Murayziq, Stelios Kapetanakis, Miltos Petridis:
Predicting Dust Storms Using Hybrid Intelligence System. 338-351
AI Techniques
- Yizi Zhou, Anne Liret, Jiyin Liu, Emmanuel Ferreyra, Rupal Rana, Mathias Kern:
Decision Support System for Green Real-Life Field Scheduling Problems. 355-369 - Marina Ivasic-Kos, Miran Pobar:
Multi-label Classification of Movie Posters into Genres with Rakel Ensemble Method. 370-383 - Christoph Tholen, Lars Nolle:
Parameter Search for a Small Swarm of AUVs Using Particle Swarm Optimisation. 384-396
Short Application Papers
- Axel Tidemann:
Deep Learning for Classification of Bi-Lingual Ads in Online Classifieds. 399-404 - Vishnu Makkapati, Arun Patro:
Enhancing Symmetry in GAN Generated Fashion Images. 405-410 - Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu:
Predicting Service Levels Using Neural Networks. 411-416 - Vidhyalakshmi Karthikeyan, Detlef D. Nauck, Miguel Rio:
Using Machine Learning for Dynamic Multicast Capacity Planning. 417-422 - Lars Nolle, Jens Werner:
Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. 423-428
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