Prize-winning Papers

Best technical paper

On Explanations for Hybrid Artificial Intelligence
Lars Nolle (Jade University of Applied Sciences, Germany; German Research Center for Artificial Intelligence, Oldenburg, Germany), Frederic Stahl and Tarek El-Mihoub (German Research Center for Artificial Intelligence, Oldenburg, Germany)

Best student technical paper

Intermediate Task Ensembling for Sarcasm Detection
J. Jinks (University of Leeds, UK)

Best application paper

Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures
M. Fyvie, J. A. W. McCall, L. A. Christie and A.-C. Zavoianu (Robert Gordon University, Aberdeen, Scotland), A. E. I. Brownlee (University of Stirling, Scotland) and R. Ainslie (The BT Group, Ipswich, England)

Best student application paper

ReFrogID: Pattern Recognition for Pool Frog Identification using Deep Learning and Feature Matching
Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Engelsen Aas Melhus, Ole Steine Olsen, Kristina Haugen (University of Agder, Norway), Dag Dolmen (Norwegian University of Science and Technology, Norway), Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mørch Korslund and Nadia Saad Noori (University of Agder, Norway)

OTHER FULL REFEREED PAPERS (in session order)

Session 1a: Speech, Natural Language and Image Analysis

Clinical Dialogue Transcription Error Correction with Self-supervision
G. Nanayakkara, N. Wiratunga, D. Corsar, K. Martin and A. Wijekoon (Robert Gordon University, UK)

Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
Pernille Aaby (Oslo Metropolitan University, Norway), Daniel Biermann (University of Agder, Grimstad, Norway), Anis Yazidi, Gustavo Borges Moreno e Mello and Fabrizio Palumbo (Oslo Metropolitan University, Norway)

Confidence Preservation Property in Knowledge Distillation Abstractions
D. Vengertsev and E. Sherman (Boise State University, USA)

Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer`s Disease from MRI Images
Misgina Tsighe Hagos, Niamh Belton (University College Dublin, Ireland), Ronan P. Killeen (St Vincent’s University Hospital, Ireland), Kathleen M. Curran and Brian Mac Namee (University College Dublin, Ireland)

Session 1b: Machine Learning Applications

Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine
C. Prusakiewicz and K. McGarry (University of Sunderland, UK)

Deep Reinforcement Learning for Continuous Control of Material Thickness
O. Dippel, A. Lisitsa and B. Peng (University of Liverpool, United Kingdom)

SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System
M. Fahad Zia, S .Kalidass and J. F. Roscoe (BT plc, UK)

Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction
Emmanuel Osei-Brefo, Richard Mitchell and Xia Hong (University of Reading, UK)

Session 2a: Image Analysis

Exploring Optimal Configurations in Active Learning for Medical Imaging
Alec Parise and Brian Mac Namee (University College Dublin, Ireland)

A Contrastive Learning Scheme with Transformer Innate Patches
S. Jyhne (University of Agder, Norway; The Norwegian Mapping Authority, Kristiansand, Norway), P. Andersen, M. Goodwin (University of Agder, Norway) and I. Oveland (The Norwegian Mapping Authority, Kristiansand, Norway)

Deep Despeckling of SAR Images to Improve Change Detection Performance
M. Ihmeida and Muhammad Shahzad (University of Reading, UK)

Interpreting NMR Spectra By Constraint Solving
Haneen A. Alharbi (University of Liverpool, UK; King Abdulaziz University, Saudi Arabia), Igor Barsukov, Rudi Grosman and Alexei Lisitsa (University of Liverpool, UK)

Session 2b: Applications of Knowledge Discovery, Machine Vision and Case Based Reasoning

Heuristic Search of Heuristics
Angelo Pirrone (London School of Economics, UK), Peter C. R. Lane (University of Hertfordshire, UK), Laura Bartlett, Noman Javed and Fernand Gobet (London School of Economics, UK)

Bias in Recommender Systems: Item Price Perspective
R. Esmeli (University of Portsmouth, UK), H. Abdullahi (Cardiff Metropolitan University, Wales, UK), M. Bader-El-Den and A. Al-Gburi (University of Portsmouth, UK)

Cropline and Weed Detection in Corn Using Weak Supervision
Christoph Manss (DFKI GmbH, Oldenburg, Germany), Isabel Guenther and Florian Rahe (AMAZONEN-WERKE, Hasbergen, Germany)

Semi-Supervised Similarity Learning in Process-Oriented Case-Based Reasoning
Nicolas Schuler (Trier University of Applied Sciences, Germany; German Research Center for AI, Germany), Maximilian Hoffmann (University of Trier, Germany; German Research Center for AI, Germany), Hans-Peter Beise (Trier University of Applied Sciences, Germany) and Ralph Bergmann (University of Trier, Germany; German Research Center for AI, Germany)

Session 3a: Neural Nets

Profiling Power Consumption for Deep Learning on Resource Limited Devices
Aidan Duggan, Ted Scully, Niall Smith and Alan Giltinan (Munster Technological University, Cork, Ireland)

Solar Flare Forecasting Using Individual and Ensemble RNN Models
M. Mngomezulu, M. Gwetu and J. V. Fonou-Dombeu (University of KwaZulu-Natal, South Africa)

Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation
Michael Free, Andrew Langworthy, Mary Dimitropoulaki and Simon Thompson (BT Applied Research, UK)

Session 3b: Other AI Applications

CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
Karl Audun, Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma (University of Agder, Norway), Tobias Aasmoe, Mari Leonhardsen (Tise) and Gro Herredsvela Rørvik (FJONG)

Automating Question Generation From Educational Text
Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku and Hema Maheshwari (Merlyn Mind Inc., New York, United States)

Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement
Joseph Collins (National Subsea Centre, UK; Robert Gordon University, UK; Port of Aberdeen, UK), Alexandru-Ciprian Zavoianu (National Subsea Centre, UK; Robert Gordon University, UK), John A. W. McCall (National Subsea Centre, UK; Robert Gordon University, UK)

PertCF: A Perturbation-Based Counterfactual Generation Approach
B. Bayrak and K. Bach (Norwegian University of Science and Technology, Norway)

Short Technical Papers

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)

Short Application Papers

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)