| 2026 | AAAI | Partial Action Replacement: Tackling Distribution Shift in Offline MARL. | Yue Jin, Giovanni Montana |
| 2025 | AAAI | Investigating Relational State Abstraction in Collaborative MARL. | Sharlin Utke, Jeremie Houssineau, Giovanni Montana |
| 2025 | ICLR | Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning. | Mianchu Wang, Yue Jin, Giovanni Montana |
| 2024 | COLING | A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports. | Yuanyi Zhu, Maria Liakata, Giovanni Montana |
| 2024 | ICLR | REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. | David Ireland, Giovanni Montana |
| 2022 | ICML | LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. | David Ireland, Giovanni Montana |
| 2022 | MICCAI | Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. | Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana |
| 2021 | ICML | Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. | Henry Charlesworth, Giovanni Montana |
| 2020 | MICCAI | A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. | Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King |
| 2019 | MICCAI | Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. | Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King |
| 2018 | ICANN | Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. | Nicol Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana |
| 2018 | MICCAI | Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM. | Ruggiero Santeramo, Samuel Withey, Giovanni Montana |
| 2018 | MICCAI | V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation. | Nicol Savioli, Giovanni Montana, Pablo Lamata |
| 2018 | SAC | Deep metric learning for multi-labelled radiographs. | Mauro Annarumma, Giovanni Montana |
| 2017 | PSB | Exploring Brain Transcriptomic Patterns: A Topological Analysis Using Spatial Expression Networks. | Zhana Kuncheva, Michelle L. Krishnan, Giovanni Montana |
| 2016 | MICCAI | Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. | Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana |
| 2015 | CVPR | Deep neural networks for anatomical brain segmentation. | Alexandre de Brbisson, Giovanni Montana |
| 2015 | FedCSIS | Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling. | Eva Janousov, Daniel Schwarz, Giovanni Montana, Toms Kasprek |
| 2015 | ICPRAM | Predicting Alzheimer's Disease - A Neuroimaging Study with 3D Convolutional Neural Networks. | Adrien Payan, Giovanni Montana |
| 2012 | IDA | A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data. | Maurice Berk, Giovanni Montana |
| 2011 | ICMLA | Predictive Subspace Clustering. | Brian McWilliams, Giovanni Montana |
| 2008 | HAIS | Learning to Trade with Incremental Support Vector Regression Experts. | Giovanni Montana, Francesco Parrella |
| 2008 | SAC | Data stream mining for market-neutral algorithmic trading. | Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris |