Order of Refereed Paper Sessions

Session 1: Peterhouse Lecture Theatre (2 papers)

Deep Learning

A Hybrid Reasoning System for Visual Arithmetic Learning
Wenbo Zhang(University of Nottingham), Colin G. Johnson (University of Nottingham), Ender Özcan (University of Nottingham)

This Looks Like That and That and That: Multi-objective Optimization for Diverse Prototype Learning
A.Parise and B.Mac Namee (University College Dublin)

Session 1: Upper Hall (2 papers)

Evolutionary Algorithms

Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets
M.Fyvie and A.-C. Zavoianu (Robert Gordon University, UK), J.A.W.McCall (Robert Gordon University, UK & PlanSea Solutions, UK)

Explaining Recommender Systems’ Performance via User Behaviour Patterns
GianCarlo A.P.I. Catalano (University of Stirling), Klaudia Dynak (University of Wrocław), Alexander E.I. Brownlee (University of Stirling) Piotr Lipinski (University of Wrocław)

Session 1: Davidson Room (2 papers)

Medical Computing and Health Informatics

Generation, Use and Effects of Synthetic Data to Train Medical AI`s: Examined Using the Example of Knee Arthroplasty
T. Neiss-Theuerkauff and A. Schierbaum and Y. Korte-Wagner and T. Luhmann and T. Sieberth and Frank Wallhoff(Jade University, Oldenburg)

Synthetic Patient Simulation and Model Stacking for Early Disease Detection: An EHR-focused AI Framework for Diagnostic Accuracy and Generalization
Sathish Kumar Natarajan (Prabhu International Research Institute (PIRI), Yamanashi, Japan), Azween Abdullah (HELP University, Kuala Lumpur, Malaysia), Prabhu Natarajan (Prabhu International Research Institute (PIRI), Yamanashi, Japan)

Session 2: Peterhouse Lecture Theatre (5 papers)

Machine Learning

6D Grasp Pose Estimation using Machine Learning with Synthetic Data: Explainable Grasping with Point Cloud Networks
Augustinas Steikunas Giovanna Martínez-Arellano

A New Longitudinal Classification Method Based on Stacking Predictions for Separate Time Points
S Provost (University of Kent, UK), AA Freitas (University of Kent, UK)

Measuring and Comparison of the Energy Consumption of different Machine Learning Methods
Christoph Tholen (German Research Center for Artificial Intelligence and Saarland University of Applied Sciences (htw saar)), Carolin Leluschko (German Research Center for Artificial Intelligence), Lars Nolle ((German Research Center for Artificial Intelligence and Jade University of Applied Sciences), Frederic Stahl (German Research Center for Artificial Intelligence)

Machine Learning-Enhanced Production Frontier Estimation: An EATBoosting Variant
Juan Aparicio (Miguel Hernandez University, Spain & valgrAI - Valencian Graduate School and Research Network of Artificial Intelligence, Spain), Vincent Charles (Queen’s University Belfast, UK), Maria D. Guillen (Miguel Hernandez University, Spain)

A Comparative Study of Feature Selection in Tsetlin Machines
V.Halenka, OC.Granmo, L.Jiao, PA. Anderson (University of Agder, NO)

Session 2: Upper Hall (5 papers)

Large Language Models

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking
Aldan Creo (Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de València), Raul Castro Fernandez (Department of Computer Science, The University of Chicago) and Manuel Cebrian (Center for Automation and Robotics, Spanish National Research Council)

Data and Knowledge-Driven Approach for Energy Profiling in Smart Context-Aware Buildings
Mona Farrag(Birmingham City University, Birmingham, UK), Gerald Feldman(Birmingham City University, Birmingham, UK), Haitham Mahmoud (Birmingham City University, Birmingham, UK), Nouh Elmitwally(Birmingham City University, Birmingham, UK), and Mohamed M. Gaber(Queensland University of Technology, Brisbane, Australia)

Retry and Refine: A Multi-Agent Framework for LLM Based Reliable Unit Test Generation
Tanmay Ghosh and Noorhan Abbas (University of Leeds, Leeds, UK)

English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
K. A. Borgersen (University of Agder, Norway), Morten Goodwin (University of Agder, Norway)

TravQuery: A Customer Support Chatbot based on Retrieval Augmented Generation (RAG)
Aneela Farnaz and Chris Huyck (Middlesex University, London UK)

Session 2: Davidson Room (5 papers)

Applications of Artificial Intelligence

A Fuzzy-logic Based Cognitive Walkthrough to Assess the Degrees of Soft Skills Targeted in an Intelligent Educational Adventure Game
K.Chrysafiadi (University of Piraeus, Piraeus, Greece), S.Papadimitriou (University of Piraeus, Piraeus, Greece), M.Virvou (University of Piraeus, Piraeus, Greece)

Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans using Text Embeddings in Local Government
K. A. Borgersen (University of Agder, Norway), M. Goodwin (University of Agder, Norway), A. S. Nossum (Norkart, Norway)

Exam Timetabling Problem Using Cooperative Hyper-heuristics: A Case Study of the ITC2007 Dataset
Kate Han(Salford Business School, University of Salford, Manchester, UK), Evelyn Oginni(Salford Business School, University of Salford, Manchester, UK) , John A. W. McCall (School of Computing, Engineering and Technology, Robert Gordon University), Aberdeen, UK, Paul McMullan (School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK),Yun Chen (Salford Business School, University of Salford, Manchester, UK)

Carbon Crest: A Personal Carbon Credit Model for Sustainable Transport Behaviour in Greater Manchester
Kate Han(Salford Business School, University of Salford, Greater Manchester, UK; The Centre for Sustainable Innovation (CSI), University of Salford), Meropi Tzanetakis Department of Socioeconomics, Vienna University of Economics and Business, Vienna, Austria), and Evelyn Oginni (Salford Business School, University of Salford, Greater Manchester, UK.) and Arun Matthew (The Carboncrest Network Ltd,, Bartle House 9 Oxford Court,, Manchester,M2 3WQ) and Bobin Joseph (The Carboncrest Network Ltd,, Bartle House 9 Oxford Court,, Manchester,M2 3WQ)

How AI is Changing Medicine: a Simple Matter of Time?
Mercedes Arguello Casteleiro (University of Manchester, UK), Chloe Henson (Gold Coast University Hospital, Australia), Manoj Kulshrestha (Midcheshire Hospital Foundation Trust, UK), Muhammad Waleed Iqbal (University of Buckingham, UK), Nava Maroto (Universidad Politécnica de Madrid, Spain), Maria Jesus Fernandez Prieto (University of Salford, UK), Julio Des Diz (Hospital do Salnés, Spain), Tim Furmston (University of Manchester, UK), John Keane (University of Manchester, UK), Robert Stevens (University of Manchester, UK) and Chris Wroe (BMJ, UK)

Session 3: Peterhouse Lecture Theatre (4 papers)

Neural Networks

Two-Stage Graph Convolutional Framework for Pipeline Leak Detection and Size Identification
F. Saleem and J.-M. Kim (University of Ulsan, South Korea)

TamilSandhi: A Neuro-Symbolic AI toolkit for correcting Sandhi errors in Tamil
Yazhmozhi V M, Annalu Waller and Jacky Visser (University of Dundee, UK)

Evaluation of Explanations for Object Detection using Transformers with Sonar Data
Christoph Manss Tarek A. El-Mihoub

Predicting London`s Precipitation: A Spatio-Temporal Neural Network Approach
Huma Zafar (Distributed Analytics Solutions, USA), Stelios Kapetanakis (Distributed Analytics Solutions, USA), Giacomo Nalli (Middlesex University, UK) Khuong Nguyen (Royal Holloway University , UK)

Session 3: Upper Hall (4 papers)

Large Language Models

Multimodal Sarcasm Dataset Generation for a Low-Resource Language: Swahili
Eugene Kariba (University of Leeds,Leeds, UK) Noorhan Abbas (University of Leeds,Leeds, UK)

Enhancing Voice-Controlled Drone Navigation: A Hybrid Approach Using ASR and NLP for UAV Command Interpretation
Yassir Alkasim (University of Leeds ,UK) and Abdulrahman Altahhan (University of Leeds ,UK)

Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance
Mercedes Arguello Casteleiro (University of Manchester, UK), Nava Maroto (Universidad Politécnica de Madrid, Spain), Maria Jesus Fernandez Prieto (University of Salford, UK), Yuan Wei (Civil Aviation Flight University of China, China), Peter John Noble (University of Liverpool, UK), Alan David Radford (University of Liverpool, UK) and Goran Nenadic (University of Manchester, UK)

Bi-Resolution: A Logic Reasoning Enhancement Method for Large Language Models Based on Resolution and Bidirectional Reasoning Fusion
Yifei Wang (East China Normal University,China) and Yixiang Chen(East China Normal University and Shanghai Normal University TIANHUA College,China)

Session 3: Davidson Room (4 papers)

Machine Learning

MTL-LungNet: A Unified Model for Nodule Segmentation and Malignancy Classification
Mihai Nan (National University of Science and Technology POLITEHNICA Bucharest) Cătălin-Mihail Chiru (National University of Science and Technology POLITEHNICA Bucharest) Adina-Magda Florea (National University of Science and Technology POLITEHNICA Bucharest)

Soft Actor-Critic Reinforcement Learning for Reactive Current Injection Protocols
M.Fathollahi (Universitat Politecnica de Catalunya) A.Camacho (Universitat Politecnica de Catalunya) C.Angulo (Universitat Politecnica de Catalunya) J.Hampton (Siemens Energy AG)

A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management
R. Maharjan, P.-A. Andersen and L.Jiao (University of Agder, Norway)

HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data
S.Aiwale and L.Sun (University of Reading, UK), F.Stahl (German Research Center for Artificial Intelligence GmbH (DFKI),Germany)

Session 4: Peterhouse Lecture Theatre (4 papers)

Machine Learning

Multi-Agent Reinforcement Learning Framework for Modeling Astrocyte-Neuron Interactions in Neural Microenvironments
Zhen Chen (University of Science and Technology of China) Shufan Yang (University of Leeds)

Transformer-Based and Generative Classifiers for Mining Imbalanced Datasets
Piotr Jedrzejowicz and Iza Wierzbowska (Gdynia Maritime University, Gdynia, Poland)

DeLSTM-AE: A Decomposition-Driven Framework for Univariate Time Series Anomaly Detection
M. Albalushi and S. Alzubi (University of Exeter, UK)

Forecasting Uranium Prices Using LSTM and VMD-Based Ensemble Models
S.Gopalakrishnakone (University of London, UK)

Session 4: Upper Hall (3 papers)

Techniques of AI

Navigating the N-Person Prisoners` Dilemma: From the Tragic Valley to the Collaborative Hill
C. Tcaci and C. Huyck (Middlesex University, UK)

Evolutionary Harnessing of Sneak Currents of 1R Memristive Crossbar
Xinming Shi(Queen’s University Belfast, UK) Xin Yao (Lingnan University, Hong Kong SAR)

Rethinking the Illusion of Thinking
I.Dellibarda, P.Romero-Sorozabal, E.Rocon and M.Cebrian (Center for Automation and Robotics, Spanish National Research Council (CSIC-UPM))

Session 4: Davidson Room (3 papers)

Natural Language Processing and Machine Vision

Data Science Approaches to Evaluating Honours Candidates
F. von Braun-Bates (Ministry of Justice, UK) S. Sen (Arndit Ltd., Cambridge, UK) I. Talukdar (Indian Institute of Technology Delhi, India) A. Lahiri (Kainos, London, UK)

From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics
Nicolas Schuler (Trier University of Applied Sciences, Germany and University of Luxembourg, Luxembourg), Lea Dewald (Trier University of Applied Sciences, Germany), Nick Baldig (Trier University of Applied Sciences, Germany and University of Luxembourg, Luxembourg) and Jürgen Graf (Trier University of Applied Sciences, Germany)

Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
J. Plassmann (Trier University of Applied Science, Germany and Department of Physics and research center OPTIMAS, RPTU University Kaiserslautern-Landau, Germany) and N. Schuler (Trier University of Applied Science, Germany and University of Luxembourg, Luxembourg) and Georg von Freymann (Department of Physics and research center OPTIMAS, RPTU University Kaiserslautern-Landau, Germany and Fraunhofer Institute for Industrial Mathematics ITWM, Germany) and Michael Schuth (Trier University of Applied Science, Germany)