Technical Papers

Best Paper

DESS: Dimensional-PDFs for Embedding Space Sampling
Jakob Voigt (University of Agder, Kristiansand, Norway, Neddi AS), Morten Grundetjern (University of Agder, Kristiansand, Norway), Per-Arne Andersen (University of Agder, Kristiansand, Norway), and Morten Goodwin (University of Agder, Kristiansand, Norway)

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)

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis
G.Manimaran (Technical University of Denmark, Denmark), S.Puthusserypady (Technical University of Denmark, Denmark), H.Dominguez (Bisperbjerg-Frederiksberg Hospital, Denmark), A.Atienza (Technical University of Denmark, Denmark), J.E.Bardram (Technical University of Denmark, Denmark)

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

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)

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))

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

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)

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)

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)

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)

Short Technical Papers

Bias Detection in Online Higher Education Texts: Comparing Fine-Tuned and Zero-Shot LLM Approaches
Rawan Bin Shiha (University of Leeds, UK), Eric Atwell (University of Leeds, UK) , Noorhan Abbas (University of Leeds, UK)

Enhancing Deepfake Detection with Audio Spectrograms and Siamese Networks
B. Şenavcu, S. İ. Özdemir, N. C. Çetin, İ. Gürbüzerol, and M. Eminağaoğlu (Department of Computer Engineering, Yaşar University, İzmir, TURKEY)

Learning to Navigate and Track: A Decentralized RL Framework for UAV Operations in GNSS-Denied Terrain
Nikolaos D. Almalis (Hellenic Research Technological Development and Innovation Center (KETAK)), , George A. Tsihrintzis (University of Piraeus Dept. of Informatics Piraeus, Greece), , Michail Mitsios and Tsiapras Tilemachos (Hellenic Research Technological Development and Innovation Center (KETAK))

Dynamic Fusion of Structured Covariates into Deep Signal Backbones
Gouthamaan Manimaran (Technical University of Denmark, Denmark), Sadasivan Puthusserypady (Technical University of Denmark, Denmark), Helena Dominguez (Bisperbjerg Hospital, Denmark), Jakob E. Bardram (Technical University of Denmark, Denmark)

Global Explanations for Imitation Learning
Andre Miedtank (Marine Perception, German Research Center for Artificial Intelligence), Tarek El-Mihoub (Marine Perception, German Research Center for Artificial Intelligence), Axel Hahn (University of Oldenburg, DLR Systems Engineering for Future Mobility), Frederic Stahl (Marine Perception, German Research Center for Artificial Intelligence)

Attention or Convolution? Comparing Modern Architectures for Stress Detection on BVP Image Encodings
Mjellma Çitaku and Silja Meyer-Nieberg and Marko Hofmann (University of the Bundeswehr Munich, Munich, Germany)

High-Confidence Clustering and Lightweight U-Net for SAR Change Detection
Mohamed Ihmeida (Birmingham City University), Shaojun Bian (Buckinghamshire New University), R. Muhammad Atif Azad (Birmingham City University), Tamer Saleh (Wuhan University)

Towards a Technical Definition of Artificial Intelligence and Machine Learning Software Systems
Lars Nolle (Jade University of Applied Sciences/DFKI, Germany)