Poster Sessions Overview

Posters are divided into seven topics this year:

T1: Green AI  

  1. ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI - Pankaj Pandey, Day 1  

  1. AI4IS - Towards AI-based forecasting of Antarctic Ice shelf calving - Jacob Hay, Hamze Issa, Daniele Fantin, David Parkes, Amber Leeson, Malcom McMillan, Kate Briggs, Jan Wuite, Thomas Nagler, Day 1  

  1. Development of a machine learning-based ice shelf coastline (ISCL) delineation in Antarctica - Hamze Issa, Daniele Fantin, Jacob Hay and the AIS CCI Team, Day 1  

  1. Life Cycle Assessment (LCA) for the use of Artificial Intelligence in small and medium enterprises - Kushtrim Visoka, Andrea Alessandro Gasparini, Day 1 

  1. The environmental footprint of AI for sustainability purposes - Lina Plataniti, Synnøve Rubach, Kari-Anne Lyng, Day 2  

  1. Towards Energy-Efficient Distributed Training: Empirical Evaluation of Gradient Sparsification Schemes - Preben Castberg, Day 2  

 

T2: Marine AI  

  1. Learning and predicting fishing activities from AIS data - Klaus Johannsen, Xue-Cheng Tai, Gro Fonnes, Junyong You, Day 1  

  1. Marine Intelligence: Innovations to Enhance Underwater Exploration - Arangan Subramaniam, Changkyu Choi, Nils Olav Handegard, Robert Jenssen, Ali Ramezani-Kebrya, Day 2  

  1. A multimodal transformer model for fishing vessel destination prediction – Helge Fredriksen, Day 2  

 

T3: Neural Theory  

  1. Examination of Computational Performance of Biological Neural Networks with Reservoir Computing - Felix S. Reimers, Ola Huse Ramstad, Axel Sandvig, Ioanna Sandvig, Stefano Nichele, Day 1  

  1. Low dimensional representations in boolean reservoir computing - Christopher Michael Skeide Vibe, Mikkel Lepperød, Solve Sæbo, Stefano Nichele, Day 1  

  1. New Ways to Design Deep Neural Networks - Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li, Day 2  

  1. Probabilistic Kolmogorov-Arnold Networks with Gaussian Process Activations for Uncertainty Quantification - Aaron de Leyos, Alexander Johannes Stasik, Signe Riemer-Sørensen, Day 2  

 

T4: Health AI  

  1. An ubiquitous and pervasive Wireless Sensor Network (WSN) for Active and Assisted Living (AAL) - Matteo Iervasi, Florenc Demrozi, Day 1  

  1. Cross-Linguistic Semantic Analysis for Mild Cognitive Impairment Detection - Arezo Shakeri, Mina Farmanbar, Day 1  

  1. Longitudinal Analysis of Imaging Data Using Gradient Boosting with Random Effects and Shapley Values - Julia Kropiunig, Øystein Sørensen, Day 1  

  1. Deep Learning-Based Arrhythmia Segmentation of Porcine ECG Using Implanted Devices - Bjørn-Jostein Singstad, Semra Oztemel Sari, Mathis Korseberg Stokke, Day 2  

  1. Transfer retrieval: A new paradigm for personalised medicine through AI-driven genomic database search - Arina Surko, Sinan Uğur Umu, Hasan Oğul, Day 2  

 

T5: Language & Knowledge  

  1. Explainable-AI-ready materials modelling data and metadata documentation - Martin T. Horsch, Fadi Al Machot, Maria Bashir, Heinz A. Preisig, Shailendra Singh, Day 1  

  1. LangGraph-Powered Conversational AI for Intelligent Sports Highlight Discovery - Mehdi HoushmandSarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael Alexander Riegler, Pål Halvorsen, Day 1  

  1. Information-Theoretic Approach to Learn Causal Relationship Between Question and Answering in DocVQA - Kjetil Indrehus, Changkyu Choi, Ali Ramezanikebrya, Day 2  

 

T6: Trust & Safety  

  1. Monte Carlo Dropout for Model Uncertainty Estimation - Aslak Djupskås, Alexander Johannes Stasik, Signe Riemer-Sørensen, Day 1  

  1. SAIL-K Framework For Secure AI Applications - Ryan Marinelli, Day 2  

  1. Deconstructing Obfuscation: A Four-Dimensional Framework for LLMs in Assembly Code Deobfuscation - Anton Tkachenko, Dmitrij Suskevic, Benjamin Adolphi, Day 2  

  1. Detecting AI Influence in Student Writing: Toward Reliable and Interpretable Classifiers - Ibrahim Riza Hallac, Abdelaziz Qassi, Hasan Ogul, Day 2  

 

T7: Predictive analysis  

  1. Sequential Preference Learning with the Bayesian Mallows Model - Øystein Sørensen, Anja Stein, Waldir Leoncio Netto, David S. Leslie, Day 1  

  1. Comparative Analysis of Bitcoin Price Forecasting Using PatchTST, Traditional Models, and Sentiment Integration - Shakiba Sadat Mirbagheri, Claudio Sartori, Mehrzad Abdi khalife, Mina Farmanbar, Day 2  

  1. Improving Forecast Resolution in Vector Autoregressive Processes - Luis M. Lopez-Ramos, Emilio Ruiz-Moreno, Baltasar Beferull-Lozano, Day 2