HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients. - Giovanni Montana (Bioinform., 2005)

Statistical methods in genetics. - Giovanni Montana (Briefings Bioinform., 2006)

Statistical software for gene mapping by admixture linkage disequilibrium. - Giovanni Montana; Clive J. Hoggart (Briefings Bioinform., 2007)

Learning to Trade with Incremental Support Vector Regression Experts. - Giovanni Montana; Francesco Parrella (HAIS, 2008)

Data stream mining for market-neutral algorithmic trading. - Giovanni Montana; Kostas Triantafyllopoulos; Theodoros Tsagaris (SAC, 2008)

Flexible least squares for temporal data mining and statistical arbitrage. - Giovanni Montana; Kostas Triantafyllopoulos; Theodoros Tsagaris (Expert Syst. Appl., 2009)

Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach. - Maria Vounou; Thomas E. Nichols; Giovanni Montana (NeuroImage, 2010)

Sparse partial least squares regression for on-line variable selection with multivariate data streams. - Brian McWilliams; Giovanni Montana (Stat. Anal. Data Min., 2010)

Predictive Subspace Clustering. - Brian McWilliams; Giovanni Montana (ICMLA (1), 2011)

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease. - Eva Janousová; Maria Vounou; Robin Wolz; Katherine R. Gray; Daniel Rueckert; Giovanni Montana (MIUA, 2011)

A statistical framework for biomarker discovery in metabolomic time course data. - Maurice Berk; Timothy M. D. Ebbels; Giovanni Montana (Bioinform., 2011)

Distance-based differential analysis of gene curves. - Christopher Minas; Simon J. Waddell; Giovanni Montana (Bioinform., 2011)

Dynamic modeling of mean-reverting spreads for statistical arbitrage. - Kostas Triantafyllopoulos; Giovanni Montana (Comput. Manag. Sci., 2011)

False positives in neuroimaging genetics using voxel-based morphometry data. - Matt Silver; Giovanni Montana; Thomas E. Nichols (NeuroImage, 2011)

A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data. - Maurice Berk; Giovanni Montana (IDA, 2012)

Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. - Matt Silver; Eva Janousová; Xue Hua; Paul M. Thompson; Giovanni Montana (NeuroImage, 2012)

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. - Maria Vounou; Eva Janousová; Robin Wolz; Jason L. Stein; Paul M. Thompson; Daniel Rueckert; Giovanni Montana (NeuroImage, 2012)

Multi-view predictive partitioning in high dimensions. - Brian McWilliams; Giovanni Montana (Stat. Anal. Data Min., 2012)

A distance-based test of association between paired heterogeneous genomic data. - Christopher Minas; Edward W. J. Curry; Giovanni Montana (Bioinform., 2013)

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes. - Yue Wang 006; Wilson Wen Bin Goh; Limsoon Wong; Giovanni Montana (BMC Bioinform., 2013)

Model-Based Clustering with gene Ranking using penalized Mixtures of heavy-tailed Distributions. - Alberto Cozzini; Ajay Jasra; Giovanni Montana (J. Bioinform. Comput. Biol., 2013)

Network-guided regression for detecting associations between DNA methylation and gene expression. - Zi Wang; Edward W. J. Curry; Giovanni Montana (Bioinform., 2014)

A Bayesian mixture of lasso regressions with t-errors. - Alberto Cozzini; Ajay Jasra; Giovanni Montana; Adam Persing (Comput. Stat. Data Anal., 2014)

Subspace clustering of high-dimensional data: a predictive approach. - Brian McWilliams; Giovanni Montana (Data Min. Knowl. Discov., 2014)

Estimating time-varying brain connectivity networks from functional MRI time series. - Ricardo Pio Monti; Peter Hellyer; David J. Sharp; Robert Leech; Christoforos Anagnostopoulos; Giovanni Montana (NeuroImage, 2014)

Distance-Based Analysis of Variance: Approximate Inference. - Christopher Minas; Giovanni Montana (Stat. Anal. Data Min., 2014)

Community Detection in Multiplex Networks using Locally Adaptive Random Walks. - Zhana Kuncheva; Giovanni Montana (ASONAM, 2015)

Deep neural networks for anatomical brain segmentation. - Alexandre de Brébisson; Giovanni Montana (CVPR Workshops, 2015)

Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling. - Eva Janousová; Daniel Schwarz; Giovanni Montana; Tomás Kaspárek (FedCSIS, 2015)

Predicting Alzheimer's Disease - A Neuroimaging Study with 3D Convolutional Neural Networks. - Adrien Payan; Giovanni Montana (ICPRAM (2), 2015)

Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data. - Ricardo Pio Monti; Romy Lorenz; Peter Hellyer; Robert Leech; Christoforos Anagnostopoulos; Giovanni Montana (PRNI, 2015)

Sparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons. - Zi Wang; Wei Yuan; Giovanni Montana (Bioinform., 2015)

Differential analysis of biological networks. - Da Ruan 002; Alastair Young; Giovanni Montana (BMC Bioinform., 2015)

Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks. - Savelie Cornegruta; Robert Bakewell; Samuel Withey; Giovanni Montana (Louhi@EMNLP, 2016)

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. - Rudra P. K. Poudel; Pablo Lamata; Giovanni Montana (RAMBO+HVSMR@MICCAI, 2016)

Classifying HCP task-fMRI networks using heat kernels. - Ai Wern Chung; Emanuele Pesce; Ricardo Pio Monti; Giovanni Montana (PRNI, 2016)

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. - Romy Lorenz; Ricardo Pio Monti; Adam Hampshire; Yury Koush; Christoforos Anagnostopoulos; Aldo A. Faisal; David J. Sharp; Giovanni Montana; Robert Leech; Inês R. Violante (PRNI, 2016)

Text-mining the neurosynth corpus using deep boltzmann machines. - Ricardo Pio Monti; Romy Lorenz; Robert Leech; Christoforos Anagnostopoulos; Giovanni Montana (PRNI, 2016)

Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. - Zi Wang; Vyacheslav Karolis; Chiara Nosarti; Giovanni Montana (PRNI, 2016)

A framework for adaptive regularization in streaming Lasso models. - Ricardo Pio Monti; Christoforos Anagnostopoulos; Giovanni Montana (CoRR, 2016)

Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging. - Petros-Pavlos Ypsilantis; Giovanni Montana (CoRR, 2016)

Special Issue on Advances in Data Mining and Robust Statistics. - Michael W. Berry; Jung Jin Lee; Giovanni Montana; Stefan Van Aelst; Ruben H. Zamar (Comput. Stat. Data Anal., 2016)

Characterising brain network topologies: A dynamic analysis approach using heat kernels. - Ai Wern Chung; Markus Schirmer; Michelle L. Krishnan; Gareth Ball; Paul Aljabar; A. David Edwards; Giovanni Montana (NeuroImage, 2016)

The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. - Romy Lorenz; Ricardo Pio Monti; Inês R. Violante; Christoforos Anagnostopoulos; Aldo A. Faisal; Giovanni Montana; Robert Leech (NeuroImage, 2016)

Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets. - Zhana Kuncheva; Giovanni Montana (PAP@PKDD/ECML, 2017)

Exploring Brain Transcriptomic Patterns: A Topological Analysis Using Spatial Expression Networks. - Zhana Kuncheva; Michelle L. Krishnan; Giovanni Montana (PSB, 2017)

Learning what to look in chest X-rays with a recurrent visual attention model. - Petros-Pavlos Ypsilantis; Giovanni Montana (CoRR, 2017)

Learning to detect chest radiographs containing lung nodules using visual attention networks. - Emanuele Pesce; Petros-Pavlos Ypsilantis; Samuel Withey; Robert Bakewell; Vicky Goh; Giovanni Montana (CoRR, 2017)

Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. - Ricardo Pio Monti; Romy Lorenz; Peter Hellyer; Robert Leech; Christoforos Anagnostopoulos; Giovanni Montana (Frontiers Comput. Neurosci., 2017)

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. - James H. Cole; Rudra P. K. Poudel; Dimosthenis Tsagkrasoulis; Matthan W. A. Caan; Claire J. Steves; Tim D. Spector; Giovanni Montana (NeuroImage, 2017)

Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. - Nicoló Savioli; Silvia Visentin; Erich Cosmi; Enrico Grisan; Pablo Lamata; Giovanni Montana (ICANN (2), 2018)

Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM. - Ruggiero Santeramo; Samuel Withey; Giovanni Montana (DLMIA/ML-CDS@MICCAI, 2018)

V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation. - Nicoló Savioli; Giovanni Montana; Pablo Lamata (STACOM@MICCAI, 2018)

Deep metric learning for multi-labelled radiographs. - Mauro Annarumma; Giovanni Montana (SAC, 2018)

Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow. - Nicoló Savioli; Miguel Silva Vieira; Pablo Lamata; Giovanni Montana (SNAMS, 2018)

A Generative Adversarial Model for Right Ventricle Segmentation. - Nicoló Savioli; Miguel Silva Vieira; Pablo Lamata; Giovanni Montana (CoRR, 2018)

Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. - Ozsel Kilinc; Giovanni Montana (CoRR, 2018)

Random forest regression for manifold-valued responses. - Dimosthenis Tsagkrasoulis; Giovanni Montana (Pattern Recognit. Lett., 2018)

Adaptive regularization for Lasso models in the context of nonstationary data streams. - Ricardo Pio Monti; Christoforos Anagnostopoulos; Giovanni Montana (Stat. Anal. Data Min., 2018)

Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization. - Briti Gangopadhyay; Siddartha Khastgir; Sumanta Dey; Pallab Dasgupta; Giovanni Montana; Paul A. Jennings (ITSC, 2019)

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 (SUSI/PIPPI@MICCAI, 2019)

Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication. - Emanuele Pesce; Giovanni Montana (CoRR, 2019)

Spectral Multi-scale Community Detection in Temporal Networks with an Application. - Zhana Kuncheva; Giovanni Montana (CoRR, 2019)

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. - Yang Hu; Giovanni Montana (CoRR, 2019)

Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. - Ozsel Kilinc; Yang Hu; Giovanni Montana (CoRR, 2019)

Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. - Emanuele Pesce; Samuel Withey; Petros-Pavlos Ypsilantis; Robert Bakewell; Vicky Goh; Giovanni Montana (Medical Image Anal., 2019)

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 (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans. - Ksenia Sokolova; Gareth J. Barker; Giovanni Montana (Image Processing, 2020)

PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. - Henry Charlesworth; Giovanni Montana (NeurIPS, 2020)

Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. - Emanuele Pesce; Giovanni Montana (CoRR, 2020)

Adaptive Experience Selection for Policy Gradient. - Saad Mohamad; Giovanni Montana (CoRR, 2020)

Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. - Ozsel Kilinc; Giovanni Montana (CoRR, 2020)

Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication. - Emanuele Pesce; Giovanni Montana (Mach. Learn., 2020)

Real-time diameter of the fetal aorta from ultrasound. - Nicoló Savioli; Enrico Grisan; Silvia Visentin; Erich Cosmi; Giovanni Montana; Pablo Lamata (Neural Comput. Appl., 2020)

Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. - Henry Charlesworth; Giovanni Montana (ICML, 2021)

Automated Knee X-ray Report Generation. - Aydan Gasimova; Giovanni Montana; Daniel Rueckert (CoRR, 2021)

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (CoRR, 2021)

LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. - David Ireland; Giovanni Montana (ICML, 2022)

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 (MICCAI (8), 2022)

Model-based Trajectory Stitching for Improved Offline Reinforcement Learning. - Charles A. Hepburn; Giovanni Montana (CoRR, 2022)

Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning. - Alex Beeson; Giovanni Montana (CoRR, 2022)

Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. - Ozsel Kilinc; Giovanni Montana (Mach. Learn., 2022)

Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. - George Watkins; Giovanni Montana; Jürgen Branke (LION, 2023)

An optimization framework to guide the choice of thresholds for risk-based cancer screening. - Adam R. Brentnall; Emma C. Atakpa; Harry Hill; Ruggiero Santeramo; Celeste Damiani; Jack Cuzick; Giovanni Montana; Stephen W. Duffy (npj Digit. Medicine, 2023)

Video Object Segmentation using Point-based Memory Network. - Mingqi Gao 003; Jungong Han; Feng Zheng; James J. Q. Yu; Giovanni Montana (Pattern Recognit., 2023)

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. - Nick Byrne; James R. Clough; Israel Valverde; Giovanni Montana; Andrew P. King (IEEE Trans. Medical Imaging, 2023)

Learning multi-agent coordination through connectivity-driven communication. - Emanuele Pesce; Giovanni Montana (Mach. Learn., 2023)

Decoupling Multimodal Transformers for Referring Video Object Segmentation. - Mingqi Gao 003; Jinyu Yang; Jungong Han; Ke Lu 002; Feng Zheng; Giovanni Montana (IEEE Trans. Circuits Syst. Video Technol., 2023)

Embracing Relational Reasoning in Multi-Agent Actor-Critic. - Sharlin Utke; Jeremie Houssineau; Giovanni Montana (AAMAS, 2024)

A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports. - Yuanyi Zhu; Maria Liakata; Giovanni Montana (LREC/COLING, 2024)

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. - David Ireland; Giovanni Montana (ICLR, 2024)

Automated ranking of chest x-ray radiological finding severity in a binary label setting. - Matthew MacPherson; Keerthini Muthuswamy; Ashik Amlani; Vicky Goh; Giovanni Montana (MIDL, 2024)

An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces. - Alex Beeson; David Ireland; Giovanni Montana (Trans. Mach. Learn. Res., 2024)

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models. - Mianchu Wang; Rui Yang 010; Xi Chen; Hao Sun; Meng Fang; Giovanni Montana (Trans. Mach. Learn. Res., 2024)

Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. - Ting Zhu; Yue Jin; Jeremie Houssineau; Giovanni Montana (Trans. Mach. Learn. Res., 2024)

Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. - Alex Beeson; Giovanni Montana (Mach. Learn., 2024)

Model-based trajectory stitching for improved behavioural cloning and its applications. - Charles A. Hepburn; Giovanni Montana (Mach. Learn., 2024)

Goal-conditioned offline reinforcement learning through state space partitioning. - Mianchu Wang; Yue Jin; Giovanni Montana (Mach. Learn., 2024)

Investigating Relational State Abstraction in Collaborative MARL. - Sharlin Utke; Jeremie Houssineau; Giovanni Montana (AAAI, 2025)

Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning. - Mianchu Wang; Yue Jin; Giovanni Montana (ICLR, 2025)

Evaluation-Time Policy Switching for Offline Reinforcement Learning. - Natinael Solomon Neggatu; Jeremie Houssineau; Giovanni Montana (AAMAS, 2025)

State-Constrained Offline Reinforcement Learning. - Charles A. Hepburn; Yue Jin; Giovanni Montana (Trans. Mach. Learn. Res., 2025)

Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning. - Enrique Adrian Villarrubia-Martin; Luis Rodriguez-Benitez; David Muñoz-Valero; Giovanni Montana; Luis Jimenez Linares (CoRR, 2025)

Efficient Verified Machine Unlearning For Distillation. - Yijun Quan; Zushu Li; Giovanni Montana (CoRR, 2025)

Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing. - Yue Jin; Shuangqing Wei; Giovanni Montana (Mach. Learn., 2025)