BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2023: The Forty-third SGAI International Conference
12th-14th December 2023

Papers Accepted as Short Papers for Poster Presentation

Technical Stream

Speech Emotion Recognition using Deep Learning
W. Ahmed, S. Riaz, K. Iftikhar and S. Konur (University of Bradford, UK)

Distinct Sequential Models for Inference Boosting
R. A. Laursen, P. Alo, M. Goodwin, and P.-A. Andersen (University of Agder, Grimstad, Norway)

On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research
D. Lukats and F. Stahl (DFKI GmbH, Germany)

Unveiling the Relationship between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence
Qin Ruan (University College Dublin, Ireland; Science Foundation Ireland Centre for Research Training in Machine Learning), Brian Mac Namee and Ruihai Dong (University College Dublin, Ireland; Insight Centre for Data Analytics; Science Foundation Ireland Centre for Research Training in Machine Learning)

A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment
Xi Liu, Long Ma, Zhen Chen (University of Science and Technology of China, China), Changgang Zheng (University of Oxford, UK), Ren Chen (Anhui Medical University, China), Yong Liao (University of Science and Technology of China, China) and Shufan Yang (Edinburgh Napier University, UK)

Optimal Manufacturing Controller Synthesis using Situation Calculus
O. Adalat, D. Scrimieri and S. Konur (University of Bradford, UK)

Predicting social Trust from Implicit Feedback
E. Oshodin (University of the West of England, UK)

A Neural Network Approach to Dragon Boat Partition Problem (Abstract)
B. Regnier and J. Z. Zhang (University of Lethbridge, Canada)

Auditing AI Systems: A Metadata Approach
Y. Zhao (York University, UK), A. Khadka (NorthEastern University, London, UK), A. M`manga (Bournemouth, UK), H. Shaw (Lancaster University, UK), C. Adams (Mobi Publishing UK; Cosmopolitan University Abuja, Nigeria) and M. Eslamnejad (Mobi Publishing UK; University of Portsmouth, UK)

Prospective Responsibility for Multi-Agent Systems
J. Collenette and L. A. Dennis and M. Fisher (University of Manchester, UK)

Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News
W. Kareem and N. Abbas (University of Leeds, UK)

A Knowledge Rich Task Planning Framework for Human-Robot Collaboration
S. Shekhar, A. Favier, R. Alami (LAAS-CNRS, Universite de Toulouse, France) and M. Croitoru (LIRMM, University of Montpellier, France)

Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations
Snobin Antony, Raghi Roy and Yaxin Bi (Ulster University, Belfast, Northern Ireland)

Application Stream

On The Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem
Till Schlüsselburg (Jade University of Applied Sciences, Germany), Christoph Tholen (German Research Center for Artificial Intelligence, Germany) and Lars Nolle (Jade University of Applied Sciences, Germany; German Research Center for Artificial Intelligence, Germany)

Detecting Bias in University News Articles: A Comparative Study using BERT, GPT-3.5 and Google Bard Annotations
R. Bin Shiha, E. Atwell and N. Abbas (University of Leeds, UK)

Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning
Lars E. O. Jacobson, Adrian A. Hopgood, Mohamed Bader-El-Den, Vincenzo Tamma (University of Portsmouth, UK), David Prendergast (Innovative Physics Ltd, Portsmouth, UK) and Peter Osborn (Portsmouth Hospitals University NHS Trust, Portsmouth, UK)

COVID-19 Liquor Sales Forecasting Model
Uttam Paul (University of Leeds, UK)

On The Development of a Candidate Selection System for Automated Plastic Waste Detection using Airborne Based Remote Sensing
Christoph Tholen and Mattis Wolf (German Research Center for Artificial Intelligence GmbH, Germany)

Estimations of Professional Experience with Panel Data to Improve Salary Predictions
F. Eichinger (DATEV eG, Nuremberg, Germany), J. Kiesel (Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany), M. Dorner (DATEV eG, Nuremberg, Germany) and S. Arnold (Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany)

Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review
Carolin Leluschko and Christoph Tholen (German Research Center for Artificial Intelligence GmbH, Germany)


BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2023: The Forty-third SGAI International Conference
12th-14th December 2023