Papers Accepted for the Technical Stream

Best Technical Paper

Exposing Students to New Terminologies While Collecting Browsing Search Data
O. Zammit (Middlesex University Malta, Pembroke, Malta), S. Smith and D. Windridge (Middlesex University, London, UK), C. De Raffaele (Middlesex University Malta, Pembroke, Malta)

Best Student Technical Paper

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis using Tsetlin Machines
Rupsa Saha, Ole-Christoffer Granmo and Morten Goodwin (University of Agder, Grimstad, Norway)

T1: Neural Nets and Knowledge Management

Symbolic Explanation Module for Fuzzy Cognitive Map-based Reasoning Models
Fabian Hoitsma and Andreas Knoben (Tilburg University, The Netherlands), Maikel Leon Espinosa (University of Miami, USA), Gonzalo Nápoles (Tilburg University, The Netherlands)

Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs
Y. An and R. Dong (University College Dublin, Ireland), Q. Ye (China University of Geosciences, Wuhan, China), J. Guo (C&C Reservoirs, Reading, UK)

The Use of Max-Sat for Optimal Choice of Automated Theory Repairs
Marius Urbonas, Alan Bundy, Juan Casanova and Xue Li (University of Edinburgh, UK)

T2: Machine Learning

Personalised Meta-Learning for Human Activity Recognition with Few-data
A. Wijekoon and N. Wiratunga (Robert Gordon University, Aberdeen, UK)

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo (University of Agder, Grimstad, Norway)

A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
K. Darshana Abeyrathna and Ole-Christoffer Granmo (University of Agder, Grimstad, Norway), Rishad Shafik, Alex Yakovlev, Adrian Wheeldon, and Jie Lei (Newcastle University, UK), Morten Goodwin (University of Agder, Grimstad, Norway)

Accelerating the Training of an LP-SVR over Large Datasets
Pablo Rivas (Baylor University, USA)

Short Technical Stream Papers

Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity
Christian R. Huyck (Middlesex University, London, UK)

Developing Ensemble Methods for Detecting Anomalies in Water Level Data
T. Khampuengson, A. Bagnall, W. Wang (University of East Anglia, UK)

Detecting Node Behaviour Changes in Subgraphs
Michael S. Gibson (BT Applied Research, UK)

ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units
Enrico Lopedoto, Tillman Weyde (City, University of London, UK)