Best Technical Paper

NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition
Morten Grundetjern, Per-Arne Andersen, Morten Goodwin and Karl Audun Borgersen (University of Agder, Norway)

Best Student Technical Paper

A Dominance-based Surrogate Classifier for Multi-Objective Evolutionary Algorithms
Tiwonge Msulira Banda and Alexandru-Ciprian Zăvoianu (Robert Gordon University, UK)

Best Application paper

Adaptive CNN Method For Prostate MR Image Segmentation Using Ensemble Learning
Lars E.O. Jacobson, Mohamed Bader-El-Den, Adrian A. Hopgood, Shamsul Masum, Vincenzo Tamma (University of Portsmouth, UK), David Prendergast (Innovative Physics Ltd, UK), Peter Osborn (Portsmouth Hospitals, University NHS Trust, UK)

Best Student Application Paper

Evaluating Algorithms for Missing Value Imputation in Real Battery Data
D.N. Sheni, A.H. Basson and J. Grobler (Stellenbosch University, South Africa)

OTHER FULL REFEREED PAPERS (in session order)

Session 1A: Deep Learning

Bitcoin Forecasting using Deep Learning and Time Series Ensemble Techniques
H. Zafar and S. Kapetanakis (Middlesex University, UK, Distributed Analytics Solutions, UK)

TRAPL: Transformer-based Patch Learning For Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution
Sander R. Jyhne, Morten Goodwin and Per-Arne Andersen (University of Agder, Norway), Ivar Oveland (Norwegian Mapping Authority, Kristiansand, Norway)

DATE: Derivative Alignment Training for Extrapolation with Neural Networks
Enrico Lopedoto, Tillman Weyde and Kizito Salako (City, University of London, UK)

Interactive Simulator Framework for XAI Applications in Aquatic Environments
Ahmed H. Elsayed, Tarek A. El-Mihoub, Christoph Manss, Andre, Miedtank (German Research Center for Artificial Intelligence), Lars Nolle (Jade University of Applied Sciences) and Frederic Stahl (German Research Center for Artificial Intelligence)

Advancing Financial Text Sentiment Analysis with Deep Learning and Ensemble Models
W.L.R. Tang (University of Manchester, Manchester, UK)

Session 1B: Machine Vision

Optimizing Autonomous Vehicle Racing using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction
Martin Holen, Jayant Singh, Christian W. Omlin,, Jing Zhou, Kristian M. Knausgård and , Morten Goodwin (University of Agder, Norway)

Semantic Segmentation for Landslide Detection using Segformer
Hasnain Murtaza Syed, Mahdi Maktabdar Oghaz, and Lakshmi Babu Saheer (Anglia Ruskin University)

Vision-Based Human Fall Detection using 3D Neural Networks
S.M. Toh, N. Helian, Y. Sun (University of Hertfordshire, UK), K. Pasipamire, T. Pasipamire (Delight Supported Living, UK)

Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of ViTs and YOLOv8
A. Memari and T. Debich (Jade University of Applied Sciences, Germany)

Detection of vascular leukoencephalopathy in CT images
Zuzana Cernekova, Viktor Sisik and Fatana Jafari (Comenius University Bratislava, Slovakia)

Session 2A: Large Language Models; Machine Learning

PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings
Henrik Brådland (University of Agder, Norway and Norkart AS, Norway), M. Goodwin and P-A. Andersen (University of Agder, Norway), Alexander S. Nossum (Norkart AS, Norway)

ArgueMapper Assistant: Interactive Argument Mining Using Generative Language Models
M. Lenz and R. Bergmann (Trier University and DFKI, Germany)

Contextual Transformers for Goal-Oriented Reinforcement Learning
Oliver Dippel, Alexei Lisitsa and Bei Peng (University of Liverpool)

Localized Affinity-based Reinforcement Learning for Interpretable State-specific Decision-making
A. Vishwanath and C. Omlin (University of Agder, Norway)

Navigating the Landscape of Case Fidelity and Competence in Case-Based Reasoning
Adwait P. Parsodkar (Indian Institute of Technology, Madras, India), Deepak P (Queen’s University Belfast, UK), Sutanu Chakraborti (Indian Institute of Technology, Madras, India)

Paper Session 2B: Learning and Reasoning

Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value
Xinming Shi (Queen’s University Belfast, UK), Leandro L. Minku (University of Birmingham, UK), Xin Yao (Lingnan University, Hong Kong SAR)

Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners
Ciara Feely, Brian Caulfield, Aonghus Lawlor and Barry Smyth (University College Dublin, Ireland)

A Homogeneous Approach to Reasoning Over Global Geographic Data
Alia I Abdelmoty and Abdurauf Satoti (Cardiff University, Cardiff, UK)

Revealing limitations of ResNet models for deep evaluation in chess
Jakub Zeman and Ladislava Smítková Janků (Czech Technical University)

Emotion Detection in Hindi language using GPT and BERT
R. Agarwal and N.Abbas (University of Leeds, Leeds, UK)

Session 3: Applications of Machine Learning

Djinn - Data Journalism Interface for Newsgathering and Notifications
Sara Elo Dean (IBM, Finland), Lars Adrian Giske (iTromsø, Norway), Herman Jangsett, Mostein (Visito, Norway), Silvia Podesta (IBM, Denmark), Halvor Helland Barndon, Sara Stegane and Henrik Nordberg (Visito, Norway)

Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-and-Frugal Trees and Weighted Sum System
N.R. Dickson and N.H.M. Caldwell (University of Suffolk, UK)

Digit Detection: Localizing and Convoluting
T. Martens and J.Z. Zhang (University of Lethbridge, UK)

Session 4A: Neural Nets

Quasi Biologically Plausible Category Learning
Christian Huyck (Middlesex University, UK)

Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention
Daniel Biermann (University of Agder, Norway), Fabrizio Palumbo (University of Agder, Norway; Oslo Metropolitan University, Norway), Morten Goodwin and Ole-Christoffer Granmo (University of Agder, Norway)

LSTM for Modelling and Predictive Control of Multivariable Processes
Krzysztof Zarzycki and Maciej Ławryńczuk (Warsaw University of Technology, Warsaw, Poland)

Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
Alejandro Rodriguez Dominguez, Muhammad Shahzad and Xia Hong (University of Reading, UK)

Session 4B: AI Applications

Explaining a Staff Rostering Problem using Partial Solutions
GianCarlo A.P.I. Catalano, Alexander E.I. Brownlee and David Cairns (University of Stirling, UK), John A.W. McCall, Martin Fyvie (National Subsea Centre, Robert Gordon University, UK), Russell Ainslie (British Telecom Research, UK)

Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic
P. Y. Chan, X. Li and Y. Lu (University of Edinburgh, UK), Yuhui Lin (University of Edinburgh, UK and Heriot-Watt University, UK) and A. Bundy (University of Edinburgh, UK)

The Initial Blueprint of Privacy-Oriented Legal Query Assistance: Exploring the potential of Retrieval-Augmented Generation for German Law using SPR
J. Agater and A. Memari (Jade Hochschule, Wilhelmshaven, Germany)

On the Development of a Pixel-wise Plastic Waste Identification System for Multispectral Remote Sensing Applications
Christoph Tholen (German Research Center for Artificial Intelligence), Eike Rodenbäck and Lars Nolle (German Research Center for Artificial Intelligence and Jade University of Applied Sciences), Robert Rettig and Frederic Stahl (German Research Center for Artificial Intelligence)