Session Talks Download the complete collection of abstracts here. Presentations will be given by the authors marked in boldface
Session 1A: Foundations of Machine Learning Wednesday 26/11, 10:15-11:15
Time;Authors;Project Title
10:15 - 10:30;<b>Joel Wendin</b> and Claudio Altafini;A Network Perspective on Gradient Flow Equations for Deep Linear Neural Networks
10:30 - 10:45;<b>Misgina Tsighe Hagos</b> and Claes Lundström;Considering the Correlation between Epistemic and Aleatoric Uncertainty in Out-of-distribution Detection
10:45 - 11:00;<b>Lauri Seppäläinen</b>, Jakub Kubecka, Jonas Elm and Kai Puolamäki;Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters
11:00 - 11:15;<b>Ali Zoljodi</b>, Seyedhamidreza Mousavi and Masoud Daneshtalab;Super-QHViT: One-shot Supernet Training for Joint Neural Architecture and Mixed-precision Quantization search of Hybrid Vision Transformers
10:15 - 10:30;<B>Ying Li</B> and Patrick Lambrix;Ontology-based Repairing of ELH⊥ Knowledge Graphs
10:30 - 10:45;<B>Md Fahim Sikder</B>, Daniel de Leng and Fredrik Heintz;Representative Synthetic Data for Fair Decision Making
10:45 - 11:00;<B>Rakhshanda Jabeen</B>, Morgan Ericsson and Jonas Nordqvist;Graph Neural Networks for Software Architecture Recovery and Mapping
11:00 - 11:15;<B>Sushanta Mohapatra</B> and Tosin Adewumi;Augmenting Large Language Models with Knowledge Graphs for Domain-Specific Applications
Session 2A: Generative AI & Human Creativity Wednesday 26/11, 13:00-14:00
Time;Authors;Project Title
13:00 - 13:15;<b>Magnus Stivi</b>;The Imaginary Real: A Social Semiotic Analysis of Photorealistic AI Images
13:15 - 13:30;<b>Otto Segersven</b> and Linda Mannila;Co-creating a Tool for Practice and Context-based Learning and Research about AI: Designing the Competence Imitation Game
13:30 - 13:45;<b>Hannah Devinney</b>;Power(ful) Associations: Rethinking “Stereotype” for NLP
13:45 - 14:00;<b>Burcin Genis Ergün</b>;Embodiment, Immersion, and AI: Towards a Heuristic for Human-AI Interaction in Digital Environments
Session 2B: Quantum & Emerging AI Paradigms Wednesday 26/11, 13:00-14:00
Time;Authors;Project Title
13:00 - 13:15;Linus Jern, Valter Uotila, <b>Cong Yu</b> and Bo Zhao;Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
13:15 - 13:30;Markus Fritzsche, <b>Elliot Gestrin</b> and Jendrik Seipp;Symmetry-Aware Transformer Training for Automated Planning
13:30 - 13:45;<b>Francesco Ballerin</b>, Erlend Grong and Nello Blaser;SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres
13:45 - 14:00;Anton Eldeborg Lundin, <b>Rasmus Winzell</b>, Hanna Hamrell, David Gustafsson and Hannes Ovrén;Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire
Session 3A: Natural Language Processing & Reasoning Thursday 27/11, 09:00-10:00
Time;Authors;Project Title
09:00 - 09:15;<b>Noora Abdullah</b> and Oluwatosin Adewumi;Evaluating Mathematical Reasoning in Large Language Models: The Impact of Few-Shot Chain-of-Thought (CoT) Prompting on Accuracy
09:15 - 09:30;<b>Shubhra Mishra</b>, Yuka Machino, Gabriel Poesia, Albert Jiang, Adrian Weller, Challenger Mishra, David Broman, Joshua Tenenbaum, Mateja Jamnik, Cedegao Zhang and Katherine Collins;Do Language Models Understand What Makes Math Problems Interesting?
09:30 - 09:45;<b>Nemi Pelgrom</b>;Realising Automatic Annotation of Research Papers with LLMs
09:45 - 10:00;<b>Yu Wu</b>, Ke Shu, Jonas Fischer, Lidia Pivovarova, David Rosson, Eetu Mäkelä and Mikko Tolonen;Detecting Latin in Historical Books with Varied Layout: A Multimodal Benchmark
Session 3B: Robotics, Planning & Automated Systems Thursday 27/11, 09:00-10:00
Time;Authors;Project Title
09:00 - 09:15;<b>Joakim Lindén</b>, Ludwig Karlsson, Håkan Forsberg, Masoud Daneshtalab and Ingemar Söderquist;Closing the Loop in Neural Scene Reconstruction: Automated Evaluation and Guided Data Collection
09:15 - 09:30;<b>Amath Sow</b>;Dynamic Multi-Drone Route Planning with Uncertainty and Constraints (DyMuDRoP)
09:30 - 09:45;<b>Jaike van Twiller</b>, Yossiri Adulyasak, Erick Delage, Djordje Grbic and Rune Møller Jensen;Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
09:45 - 10:00;<b>Elmira Zohrevandi</b>, Nilavra Bhattacharya, Emmanuel Brorsson, Yanqing Zhang, Rasmus Tammia, Andreas Darnell and Gianluca Manca;Designing Explainable AI Dashboard for Process Industry: A Case Study in Copper Mining and Paper-pulp Production
Session 4A: Health, Life Sciences & Forensics Thursday 27/11, 13:00-14:00
Time;Authors;Project Title
13:00 - 13:15;<b>Daqu Zhang</b>, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén and Lisa Rydén;Beyond Region-of-Interest: Full-Breast Mammogram Analysis with Deep Learning for Lymph Node Metastasis Prediction in Early Breast Cancer
13:15 - 13:30;Sahar Kadkhodamasoum Ali and <b>Morteza Esmaeili</b>;Brain Tumor MRI Reporting with Generative Multimodal AI
13:30 - 13:45;<b>Lisa M. Menacher</b>, Liam J. Ward, Fredrik Heintz, Henrik Green and Oleg Sysoev;LCMS-Net: Deep learning for raw high resolution mass spectrometry data applied to forensic cause-of-death screening.
13:45 - 14:00;<b>Anantha Divakaruni</b>, Ludovic Phalippou and Francois Bares;AI-qualizing Science
Session 4B: Ethics, Fairness & Human Factors Thursday 27/11, 13:00-14:00
Time;Authors;Project Title
13:00 - 13:15;<b>Per Storrø Petersen</b>;Measuring of ethical AI literacy – a feasibility study
13:15 - 13:30;<b>Natalia Murashova</b>, Leonora Onarheim Bergsjø, Aida Omerovic, Heidi E. I. Dahl and Diana Saplacan Lindblom;Adding an ethical lens to risk modelling: ENACT vocabulary and steps for ethical risk assessment of AI in practice
13:30 - 13:45;<b>Frida Hartman</b>, Maïmouna Matikainen-Soreau and Linda Mannila;Who conducts research on AI bias?
13:45 - 14:00;<b>Rebekka Soma-Jestilä</b> and Linda Mannlia;Human Competence and Autonomy in the Age of AI: A Phenomenological Inquiry