Refereed Paper Sessions (revised 5/11/22)

Wednesday December 14th 11.15

P1: AI for Health and Medicine
Chair: Prof. Frans Coenen, University of Liverpool

Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis
M. Abazari Kia (University of Essex, UK) and F. Ebrahimi Khaksefidi (University of Isfahan, Iran)

Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach
Jing Qi, Girvan Burnside, and Frans Coenen (University of Liverpool, UK)

Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor
Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, and Yalin Zheng (University of Liverpool, UK)

Wednesday December 14th 15.00 - parallel stream 1

P2: AI for Scientific Discovery and Decision Making I
Chair: Prof. Jixin Ma, University of Greenwich

Bootstrapping Neural Electronics from Lunar Resources for In-Situ Artificial Intelligence Applications
A. Ellery (Carleton University, Canada)

Query Resolution of Literature Knowledge Graphs using Hybrid Document Embeddings
Iqra Muhammad, Frans Coenen, Carol Gamble, Anna Kearney, and Paula Williamson (University of Liverpool, UK)

On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column
Martin M. Kumm (Jade University, Germany), Lars Nolle (Jade University / DFKI, Germany), Frederic Stahl (DFKI, Germany), Ahlem Jemai (University of Oldenburg, Germany), and Oliver Zielinski (University of Oldenburg / DFKI, Germany)

Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data
K. McGarry (University of Sunderland, UK)

Wednesday December 14th 15.00 - parallel stream 2

P3: AI for Industrial Applications
Chair: Dr. Mathias Kern

The ODeLIndA dataset for Field-of-View Obstruction Detection using Transfer Learning for Real-Time Industrial Applications
Abraham Anderson, Einar Julius Olafarson, Per-Arne Andersen, and Nadia Saad Noori (University of Agder, Norway)

Automated Quality Inspection of High Voltage Equipment Supported by Machine Learning and Computer Vision
P. Misiak and D. Szempruch (Hitachi Energy, Poland)

On Predicting the Work Load for Service Contractors
Himadri Sikhar Khargharia and Siddhartha Shakya (Khalifa University, UAE), Sara Sharif (Etisalat, UAE), Russell Ainslie and Gilbert Owusu (BT Research, UK)

Thursday December 15th 14.45 - parallel stream 1

P4: Feasibility Studies of Applied AI
Chair: Prof. Adrian Hopgood

Deep Learning for Detecting Tilt Angle And Orientation of Photovoltaic Panels on Satellite Imagery
Ammar Memari and Van Cuong Dam (Jade University, Germany), and Lars Nolle (Jade University / DFKI, Germany)

Recurrent Neural Networks for Music Genre Classification
Chaitanya Kakarla, Vidyashree Eshwarappa, Lakshmi Babu Saheer, and Mahdi Maktabdar Oghaz (Anglia Ruskin University, UK)

Explainable Boosting Machines for Network Intrusion Detection with Features Reduction
Tarek El-Mihoub (DFKI, Germany), Lars Nolle (DFKI / Jade University, Germany) and Frederic Stahl (DFKI, Germany)

Thursday December 15th 14.45 p.m. - parallel stream 2

P5: AI for Scientific Discovery and Decision Making II
Chair: Dr. Frederic Stahl, DFKI

Competitive Learning with Spiking Nets and Spike Timing Dependent Plasticity
C. Huyck and O. Erekpaine (Middlesex University, UK)

An Evolutionary Game Theory Model of the Decision to Confront
P. Chassy, J. Cole, and C. Brennan (University of Liverpool, UK)

Morality, Machines and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents
C. Badea and G. Artus (Imperial College London, UK)