BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2019: The Thirty-ninth SGAI International Conference
Cambridge, UK, 17th-19th December 2019

Papers Accepted for the Application Stream

Best Application Paper

Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station
Himadri Sikhar Khargharia and Siddhartha Shakya (EBTIC, Khalifa University, UAE), Russell Ainslie and Gilbert Owusu (British Telecom, UK)

Best Student Application Paper

Developing a Catalogue of Explainability Methods to Support Expert and Non-Expert Users
Kyle Martin (Robert Gordon University, UK), Anne Liret (BT France), Nirmalie Wiratunga (Robert Gordon University, UK), Gilbert Owusu and Mathias Kern (British Telecom, UK)

Medical Applications

Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data
N. Sett, B. Mac Namee (University College Dublin, Ireland), F. Calvo (Novartis Pharma AG, Switzerland), B. Caulfield, J. Costello (University College Dublin, Ireland), S.C. Donnelly (Trinity College Dublin, Ireland), J.F. Dorn (Novartis Pharma AG, Switzerland), L. Jeay (Telecom SudParis, France) et al.

Motif Discovery in Long Time Series: Classifying Phonocardiograms
Hajar Alhijailan (University of Liverpool, UK and King Saud University, Saudi Arabia) and Frans Coenen (University of Liverpool, UK)

Exploring the Automatisation of Animal Health Surveillance through Natural Language Processing
M. Arguello-Casteleiro (University of Manchester, UK), P.H. Jones, S. Robertson, R.M. Irvine, F. Twomey (Animal and Plant Health Agency, UK) and G. Nenadic (University of Manchester, UK)

Applications of Evolutionary Algorithms

GenMuse: An Evolutionary Creativity Enhancement Tool
Massimo Salomoni and Jenny Carter (University of Huddersfield, UK)

Evolutionary Art with an EEG Fitness Function
Ingrid Nĕmečková, Carl James-Reynolds and Edward Currie (Middlesex University, UK)

A Multi-Objective Design of In-Building Distributed Antenna System using Evolutionary Algorithms
K. AlShanqiti, K. Poon, S. Shakya, A. Sleptchenko and A. Ouali (Khalifa University, UAE)

Machine Learning for Time Series Data

Investigation of Machine Learning Techniques in Forecasting of Blood Pressure Time Series Data
S. Masum, J.P. Chiverton, Y. Liu and B. Vuksanovic (University of Portsmouth, UK)

Stock Index Forecasting using Time Series Decomposition-based and Machine Learning Models
Dhanya Jothimani and Ayşe Başar (Ryerson University, Canada)

Effective Sub-Sequence-Based Dynamic Time Warping
M. Alshehri (University of Liverpool, UK and King Khalid University, Saudi Arabia), F. Coenen and K. Dures (University of Liverpool, UK)

Applications of Machine Learning I

A Generic Model for End State Prediction of Business Processes Towards Target Compliance
Naveed Khan, Zulfiqar Ali, Aftab Ali, Sally McClean and Darryl Charles (Ulster University, UK), Paul Taylor and Detlef Nauck (BT, UK)

An Investigation of the Accuracy of Real Time Speech Emotion Recognition
J.S. Deusi and E.I. Popa (University of Greenwich, UK)

Contributing Features-Based Schemes for Software Defect Prediction
Aftab Ali, Mamun Abu-Tair (Ulster University, UK), Joost Noppen (BT, UK), Sally McClean, Zhiwei Lin and Ian McChesney (Ulster University, UK)

Applications of Machine Learning II

Induction Motor Inter-turn Short Circuit Fault Detection Using Efficient Feature Extraction for Machine Learning Based Fault Detectors
Muhammad Mubashir Hussain, Tariq Jadoonand and Mian M. Awais (Lahore University of Management Sciences, Pakistan)

Hybrid Feature Selection Method For Improving File Fragment Classification
A. Algurashi and W. Wang (University of East Anglia, UK)

Optimization of Silicon Tandem Solar Cells using Artificial Neural Networks
J.K. Chaudhary (University of Turku, Finland), J. Liu (Ritsumeikan University, Japan), J-P. Skön (Savonia University of Applied Sciences, Finland), Y.W. Chen (Ritsumeikan University, Japan), R.K. Kanth (Savonia University of Applied Sciences, Finland) and J. Heikkonen (University of Turku, Finland)

Stochastic Local Search Based Feature Selection for Intrusion Detection
Dalila Boughaci (University of Science and Technology - Houari Boumediane, Algeria)

Knowledge Acquisition

Improving the Adaptation Process for a New Smart Home User
S M Murad Ali, Juan Carlos Augusto and David Windridge (Middlesex University, UK)

Short Application Stream Poster Papers

Analysis of Electronic Health Records to Identify the Patient’s Treatment Lines: Challenges and Opportunities
M. Najafabadipour, J.M. Tuñas, A. Rodríguez-González and E. Menasalvas (Universidad Politécnica de Madrid, Spain)

Characterisation of VBM Algorithms for Processing of Medical MRI Images
M. Svejda and R.J. Tait (Birmingham City University, UK)

Analogical News Angles from Text Similarity
B. Tessem (University of Bergen, Norway)

Mindfulness Mirror
C. James-Reynolds and E. Currie (Middlesex University, UK)

Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance
Mathias Kern and Botond Virginas (BT Applied Research, UK)

Data Augmentation For Ambulatory EEG Based Cognitive State Taxonomy System With RNN-LSTM
Sumanto Dutta and Anup Nandy (National Institute of Technology Rourkela, India)

Time-Series-Based Classification of Financial Forecasting Discrepancies
B. Peachey Higdon, K. El Mokhtari, A. Başar (Ryerson University, Canada)

Predicting Soil pH by Using Nearest Fields
Quoc Hung Ngo, Nhien-An Le-Khac and Tahar Kechadi (University College Dublin, Ireland)

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning
Jeremie Clos, Rong Qu and Jason Atkin (University of Nottingham, UK)

On Selection of Optimal Classifiers
O. Rado and D. Neagu (University of Bradford, UK)


BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2019: The Thirty-ninth SGAI International Conference
Cambridge, UK, 17th-19th December 2019