| 2025 | ICPRAM | Partition Tree Ensembles for Improving Multi-Class Classification. | Miran zdogan, Alan Jeffares, Sean B. Holden |
| 2024 | IJCNN | MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI. | Francesco Ceccarelli, Francesco Prinzi, Pietro Li, Salvatore Vitabile, Sean B. Holden |
| 2024 | ICPRAM | Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs. | Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Li |
| 2022 | AAAI | On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). | Agnieszka Slowik, Lon Bottou, Sean B. Holden, Mateja Jamnik |
| 2022 | CADE | Bayesian Ranking for Strategy Scheduling in Automated Theorem Provers. | Chaitanya Mangla, Sean B. Holden, Lawrence C. Paulson |
| 2021 | CogSci | Structural Inductive Biases in Emergent Communication. | Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal |
| 2020 | AAAI | Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). | Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson |
| 2015 | ICPRAM | Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks. | Ivo J. P. M. Timteo, Sean B. Holden |
| 2015 | PERCOM | Beyond location check-ins: Exploring physical and soft sensing to augment social check-in apps. | Kiran K. Rachuri, Theus Hossmann, Cecilia Mascolo, Sean B. Holden |
| 2008 | SSPR | Modeling the Model Athlete: Automatic Coaching of Rowing Technique. | Simon Fothergill, Robert Harle, Sean B. Holden |
| 2005 | ICANN | On the Explicit Use of Example Weights in the Construction of Classifiers. | Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet |
| 2005 | ICANN | Bayesian Hierarchical Ordinal Regression. | Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman |
| 2001 | IWANN | STAR - Sparsity through Automated Rejection. | Robert Burbidge, Matthew W. B. Trotter, Bernard F. Buxton, Sean B. Holden |
| 1998 | COLT | Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis. | Martin Anthony, Sean B. Holden |
| 1996 | COLT | PAC-Like Upper Bounds for the Sample Complexity of Leave-one-Out Cross-Validation. | Sean B. Holden |
| 1993 | COLT | On the Power of Polynomial Discriminators and Radial Basis Function Networks. | Martin Anthony, Sean B. Holden |
| 1992 | ICASSP | Generalization and learning in Volterra and radial basis function networks: a theoretical analysis. | Sean B. Holden, Peter J. W. Rayner |
| 1991 | ICASSP | Removal of degeneracy in adaptive Volterra networks by dynamic structuring. | Michael R. Lynch, Peter J. W. Rayner, Sean B. Holden |