Artificial Intelligence XXXVII

1. Front Matter

   Pages i-xiv

   PDF

2. Technical Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper)

      • Omar Zammit, Serengul Smith, David Windridge, Clifford De Raffaele

      Pages 3-17

3. Neural Nets and Knowledge Management

   1. Front Matter

      Pages 19-19

      PDF

   2. Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning Models

      • Fabian Hoitsma, Andreas Knoben, Maikel Leon Espinosa, Gonzalo Nápoles

      Pages 21-34

   3. Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs

      • Yu An, Qing Ye, Jiulin Guo, Ruihai Dong

      Pages 35-48

   4. The Use of Max-Sat for Optimal Choice of Automated Theory Repairs

      • Marius Urbonas, Alan Bundy, Juan Casanova, Xue Li

      Pages 49-63

4. Machine Learning

   1. Front Matter

      Pages 65-65

      PDF

   2. Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines

      • Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin

      Pages 67-78

   3. Personalised Meta-Learning for Human Activity Recognition with Few-Data

      • Anjana Wijekoon, Nirmalie Wiratunga

      Pages 79-93

   4. CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning

      • Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

      Pages 94-107

   5. A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning

      • K. Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei et al.

      Pages 108-122

   6. Accelerating the Training of an LP-SVR Over Large Datasets

      • Pablo Rivas

      Pages 123-136

5. Short Technical Stream Papers

   1. Front Matter

      Pages 137-137

      PDF

   2. Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity

      • Christian Huyck

      Pages 139-144

   3. Developing Ensemble Methods for Detecting Anomalies in Water Level Data

      • Thakolpat Khampuengson, Anthony Bagnall, Wenjia Wang

      Pages 145-151

   4. Detecting Node Behaviour Changes in Subgraphs

      • Michael S. Gibson

      Pages 152-158

   5. ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units

      • Enrico Lopedoto, Tillman Weyde

      Pages 159-165

6. Application Papers

   1. Front Matter

      Pages 167-167

      PDF

   2. Partial-ACO Mutation Strategies to Scale-Up Fleet Optimisation and Improve Air Quality (Best Application Paper)

      • Darren M. Chitty

      Pages 169-184

This book constitutes the proceedings of the 40th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2020, which was supposed to be held in Cambridge, UK, in December 2020. The conference was held virtually due to the COVID-19 pandemic.

The 23 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 44 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: neural nets and knowledge management; machine learning; industrial applications; advances in applied AI; and medical and legal applications.

• artificial intelligence
• classification
• data mining
• databases
• decision trees
• deep learning
• genetic algorithms
• information retrieval
• intelligent agents
• intelligent systems
• internet
• knowledge-based system
• machine learning
• neural networks
• semantics
• sensors
• signal processing
• World Wide Web

• School of Computing, University of Portsmouth, Portsmouth, UK

  Max Bramer

• RKE Consulting, Micheldever, UK

  Richard Ellis

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