| 2026 | PAKDD | SegPPMTS: Unsupervised Segmentation for Pseudo-periodic Medical Time Series. | Jinxi Wang, Ling Luo, Uwe Aickelin |
| 2025 | ICDM | DelayNetODE: Delay-Aware System Modelling Using Graph Attention and Continuous-Time Neural Dynamics. | Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Sandra Kentish, Sally Gras, Uwe Aickelin |
| 2025 | PAKDD | VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. | Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Uwe Aickelin |
| 2025 | PAKDD | SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection. | Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard |
| 2025 | PAKDD | Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records. | Yuhao Li, Ling Luo, Uwe Aickelin |
| 2025 | PAKDD | Turning Uncertainty to Information by Intervals in Ensemble Classifiers. | Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Michael Kirley |
| 2025 | PRICAI | Efficient Selection of Low-Fidelity Data for Multi-fidelity Surrogate Models. | Mitra Heidari, Ling Luo, Mohammad Golzarijalal, Ellen Otte, Uwe Aickelin |
| 2024 | KDD | ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. | Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran |
| 2023 | PAKDD | Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. | Chenyang Wang, Ling Luo, Uwe Aickelin |
| 2023 | SDM | Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. | Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin |
| 2022 | AIME | Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. | Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard |
| 2022 | IJCCI | Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data. | Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin |
| 2022 | ITW | Fast Rate Generalization Error Bounds: Variations on a Theme. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2021 | AIME | Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach. | Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin |
| 2021 | ISIT | Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2020 | CEC | Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. | Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Uwe Aickelin, Daoyun Liu |
| 2020 | IJCNN | Machine learning with incomplete datasets using multi-objective optimization models. | Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin |
| 2020 | ISIT | Information-theoretic analysis for transfer learning. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2019 | CEC | Retrieving and ranking short medical questions with two stages neural matching model. | Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu |
| 2017 | SmartComp | CRNN: A Joint Neural Network for Redundancy Detection. | Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See |
| 2015 | DSAA | An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. | Christopher M. Roadknight, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, Lindy Durrant |
| 2015 | TrustCom | Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. | Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin |
| 2014 | CEC | Tuning a multiple classifier system for side effect discovery using genetic algorithms. | Jenna Marie Reps, Uwe Aickelin, Jonathan M. Garibaldi |
| 2014 | ICDM | A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors. | Jon Garibaldi, Eamonn Ferguson, Uwe Aickelin |
| 2014 | ICDM | Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. | Jenna Marie Reps, Uwe Aickelin |
| 2014 | ICDM | Personalising Mobile Advertising Based on Users' Installed Apps. | Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski |
| 2014 | ICDM | Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data. | Jenna Marie Reps, Uwe Aickelin, Jiangang Ma, Yanchun Zhang |
| 2014 | IJCNN | Comparison of Distance metrics for hierarchical data in medical databases. | Diman Hassan, Uwe Aickelin, Christian Wagner |
| 2014 | IJCNN | Augmented Neural Networks for modelling consumer indebtness. | Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin |
| 2013 | CBMS | Attributes for causal inference in electronic healthcare databases. | Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard |
| 2012 | ECMS | Variance In System Dynamics And Agent Based Modelling Using The SIR Model Of Infectious Disease. | Aslam Ahmed, Julie Greensmith, Uwe Aickelin |
| 2012 | FedCSIS | Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. | Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant |
| 2012 | SMC | Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. | Chris M. Roadknight, Uwe Aickelin, Guoping Qiu, John Scholefield, Lindy Durrant |
| 2010 | AINA | Against Spyware Using CAPTCHA in Graphical Password Scheme. | Liming Wang, Xiuling Chang, Zhongjie Ren, Haichang Gao, Xiyang Liu, Uwe Aickelin |
| 2010 | CW | A New Graphical Password Scheme Resistant to Shoulder-Surfing. | Haichang Gao, Zhongjie Ren, Xiuling Chang, Xiyang Liu, Uwe Aickelin |
| 2009 | GECCO | Integrating real-time analysis with the dendritic cell algorithm through segmentation. | Feng Gu, Julie Greensmith, Uwe Aickelin |
| 2009 | GECCO | Cheating for problem solving: a genetic algorithm with social interactions. | Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin |
| 2009 | IDEAL | STORM - A Novel Information Fusion and Cluster Interpretation Technique. | Jan Feyereisl, Uwe Aickelin |
| 2009 | MICCAI | Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach. | Yongnan Ji, Pierre-Yves Herv, Uwe Aickelin, Alain Pitiot |
| 2008 | CEC | DCA for bot detection. | Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith |
| 2008 | ICINCO | Genetic-algorithm Seeding of Idiotypic Networks for Mobile-robot Navigation. | Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi |
| 2008 | ICISS | Real-Time Alert Correlation with Type Graphs. | Gianni Tedesco, Uwe Aickelin |
| 2007 | GECCO | Dendritic cells for SYN scan detection. | Julie Greensmith, Uwe Aickelin |
| 2007 | WSC | Using intelligent agents to understand management practices and retail productivity. | Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg |
| 2007 | WISA | Detecting Motifs in System Call Sequences. | William O. Wilson, Jan Feyereisl, Uwe Aickelin |
| 2006 | CEC | Dendritic Cells for Anomaly Detection. | Julie Greensmith, Jamie Twycross, Uwe Aickelin |
| 2006 | CEC | libtissue - implementing innate immunity. | Jamie Twycross, Uwe Aickelin |
| 2006 | PPSN | Improved Squeaky Wheel Optimisation for Driver Scheduling. | Uwe Aickelin, Edmund K. Burke, Jingpeng Li |
| 2004 | PPSN | The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. | Jingpeng Li, Uwe Aickelin |
| 2003 | CEC | A Bayesian optimization algorithm for the nurse scheduling problem. | Jingpeng Li, Uwe Aickelin |
| 2002 | CEC | A recommender system based on the immune network. | Steve Cayzer, Uwe Aickelin |
| 2002 | GECCO | Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm. | Uwe Aickelin, Larry Bull |