Artificial Intelligence (AI) research group

On the Use of Bagging for Local Intrinsic Dimensionality Estimation

Kristóf Péter, Ricardo J G. B. Campello, Michael E Houle, James Bailey

Book Chapter  |  2027  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The theory of Local Intrinsic Dimensionality (LID) has become a valuable tool for characterizing local complexity within and acros..

Crowdshipping for reverse logistics: unlocking sustainability, trust, and fairness

SS Mohri, R Thompson, L Zhang, M Kirley

Journal article  |  2027  |  Transportation Research Part E Logistics and Transportation Review

Open access

This study investigates the integration of crowdshipping (CS) into e-commerce reverse logistics, specifically applied to the parce..

SFA-DiffNet: Spatial-frequency aware diffusion network for robust medical image segmentation

T Xie, H Yu, Y Zheng, Y He, Z Yang, Z Li, N Akhtar

Journal article  |  2027  |  Expert Systems with Applications

Diffusion models have demonstrated significant potential in medical image segmentation, yet they remain challenged in capturing co..

Predicting patient returns due to complications and recommending follow-up appointments after a dental extraction using machine learning

F Pethani, JK Kummerfeld, X Dai, M Conway, A Yaacoub, S Karimi, H Spallek, AG Dunn

Journal article  |  2026  |  Discover Artificial Intelligence

Open access

Purpose: After a dental extraction, knowing which patients are at higher risk of return due to complications may help plan a bette..

Multiscale Diffusion for Bio-topological Representation Learning on Multimodal Brain Graphs

Mujie Liu, Chenze Wang, Qichao Dong, Jing Ren, Ting Dang, Vidya Saikrishna, Feng Xia

Journal article  |  2026  |  ACM Transactions on Intelligent Systems and Technology

Open access

Understanding how neurological disorders disrupt brain network topology requires modeling the brain’s hierarchical and multiscale ..

Fast concept-based counterfactual explanations for image classification

R Zhang, T Miller, KA Ehinger, BIP Rubinstein

Journal article  |  2026  |  Artificial Intelligence

Open access

We propose Fast Concept-based Counterfactual Explanations (FCCE) for generating counterfactual explanations for CNN image classifi..

Understanding the role of technology to support life transitions in residential aged care settings

D Muñoz, S Pedell, L An, L Sterling

Journal article  |  2026  |  Journal of Aging Studies

Open access

Everyday practices, including technology use, by older adults can significantly change during important life transitions. However,..

AI security beyond core domains: resume screening as a case study of adversarial vulnerabilities in specialized LLM applications

Honglin Mu, Jinghao Liu, Kaiyang Wan, Rui Xing, Xiuying Chen, Timothy Baldwin, Wanxiang Che

Journal article  |  2026  |  International Journal of Machine Learning and Cybernetics

Large Language Models (LLMs) are increasingly used to automate high-stakes screening decisions, yet they can be manipulated by adv..

Untangling the contribution of survey design and demographic change to observed differences in age-stratified contact patterns

T Harris, P Jayasundara, R Ragonnet, J Trauer, N Geard, C Zachreson

Journal article  |  2026  |  Epidemics

Open access

Social contact patterns are key drivers of infectious disease transmission. During the COVID-19 pandemic, differences between pre-..

DRBD-Mamba for robust and efficient brain tumor segmentation with analytical insights

Danish Ali, Ajmal Mian, Naveed Akhtar, Ghulam Mubashar Hassan

Journal article  |  2026  |  Brain Informatics

Open access

Accurate brain tumor segmentation is significant for clinical diagnosis and treatment but remains challenging due to tumor heterog..