Giovanni Montana

146 papers A* 7A 2B 3C 1Misc 4Journal 105Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Action-Free Offline-to-Online RL via Discretised State Policies. CoRR Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2026	J	`jnl`	Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation Models. CoRR Yijun Quan, Wentai Wu, Giovanni Montana
2026	J	`jnl`	Learning Partial Action Replacement in Offline MARL. CoRR Yue Jin, Giovanni Montana
2026	A*	`conf`	Partial Action Replacement: Tackling Distribution Shift in Offline MARL. AAAI Yue Jin, Giovanni Montana
2026	J	`jnl`	Show Me When and Where: Towards Referring Video Object Segmentation in the Wild. CoRR Mingqi Gao, Jinyu Yang, Jingnan Luo, Xiantong Zhen, Jungong Han, Giovanni Montana, Feng Zheng
2025	J	`jnl`	Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing. Mach. Learn. Yue Jin, Shuangqing Wei, Giovanni Montana
2025	J	`jnl`	Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning. CoRR Enrique Adrian Villarrubia-Martin, Luis Rodriguez-Benitez, David Muñoz-Valero, Giovanni Montana, Luis Jimenez Linares
2025	J	`jnl`	Efficient Verified Machine Unlearning For Distillation. CoRR Yijun Quan, Zushu Li, Giovanni Montana
2025	A	`conf`	Evaluation-Time Policy Switching for Offline Reinforcement Learning. AAMAS Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025	J	`jnl`	Evaluation-Time Policy Switching for Offline Reinforcement Learning. CoRR Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025	A*	`conf`	Investigating Relational State Abstraction in Collaborative MARL. AAAI Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2025	A*	`conf`	Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning. ICLR Mianchu Wang, Yue Jin, Giovanni Montana
2025	—	`conf`	Offline Reinforcement Learning for Community-Acquired Pneumonia Management: A Feasibility Study. ECML/PKDD (9) Alex Beeson, Keith Couper, Giovanni Montana
2025	J	`jnl`	Partial Action Replacement: Tackling Distribution Shift in Offline MARL. CoRR Yue Jin, Giovanni Montana
2025	J	`jnl`	Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs. CoRR Mianchu Wang, Giovanni Montana
2025	J	`jnl`	State-Constrained Offline Reinforcement Learning. Trans. Mach. Learn. Res. Charles A. Hepburn, Yue Jin, Giovanni Montana
2025	J	`jnl`	Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations. CoRR Yujie Zhu, Charles A. Hepburn, Matthew Thorpe, Giovanni Montana
2024	—	`conf`	A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports. LREC/COLING Yuanyi Zhu, Maria Liakata, Giovanni Montana
2024	J	`jnl`	Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing. CoRR Yue Jin, Shuangqing Wei, Giovanni Montana
2024	J	`jnl`	An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces. CoRR Alex Beeson, David Ireland, Giovanni Montana
2024	J	`jnl`	An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces. Trans. Mach. Learn. Res. Alex Beeson, David Ireland, Giovanni Montana
2024	—	`conf`	Automated ranking of chest x-ray radiological finding severity in a binary label setting. MIDL Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana
2024	J	`jnl`	Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. Mach. Learn. Alex Beeson, Giovanni Montana
2024	A	`conf`	Embracing Relational Reasoning in Multi-Agent Actor-Critic. AAMAS Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models. Trans. Mach. Learn. Res. Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana
2024	J	`jnl`	Goal-conditioned offline reinforcement learning through state space partitioning. Mach. Learn. Mianchu Wang, Yue Jin, Giovanni Montana
2024	J	`jnl`	Investigating Relational State Abstraction in Collaborative MARL. CoRR Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement Learning. CoRR Mianchu Wang, Yue Jin, Giovanni Montana
2024	J	`jnl`	Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. CoRR Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Model-based trajectory stitching for improved behavioural cloning and its applications. Mach. Learn. Charles A. Hepburn, Giovanni Montana
2024	A*	`conf`	REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. ICLR David Ireland, Giovanni Montana
2024	J	`jnl`	REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. CoRR David Ireland, Giovanni Montana
2024	J	`jnl`	State-Constrained Offline Reinforcement Learning. CoRR Charles A. Hepburn, Yue Jin, Giovanni Montana
2023	J	`jnl`	A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging Nick Byrne, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King
2023	J	`jnl`	An optimization framework to guide the choice of thresholds for risk-based cancer screening. npj Digit. Medicine Adam R. Brentnall, Emma C. Atakpa, Harry Hill, Ruggiero Santeramo, Celeste Damiani, Jack Cuzick, Giovanni Montana, Stephen W. Duffy
2023	J	`jnl`	Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. CoRR Alex Beeson, Giovanni Montana
2023	J	`jnl`	Decoupling Multimodal Transformers for Referring Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. Mingqi Gao, Jinyu Yang, Jungong Han, Ke Lu, Feng Zheng, Giovanni Montana
2023	—	`conf`	Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. LION George Watkins, Giovanni Montana, Jürgen Branke
2023	J	`jnl`	Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. CoRR George Watkins, Giovanni Montana, Jürgen Branke
2023	J	`jnl`	Goal-conditioned Offline Reinforcement Learning through State Space Partitioning. CoRR Mianchu Wang, Yue Jin, Giovanni Montana
2023	J	`jnl`	Learning multi-agent coordination through connectivity-driven communication. Mach. Learn. Emanuele Pesce, Giovanni Montana
2023	J	`jnl`	Video Object Segmentation using Point-based Memory Network. Pattern Recognit. Mingqi Gao, Jungong Han, Feng Zheng, James J. Q. Yu, Giovanni Montana
2022	—	`conf`	Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. MICCAI (8) Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana
2022	J	`jnl`	Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. CoRR Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana
2022	J	`jnl`	Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning. CoRR Alex Beeson, Giovanni Montana
2022	A*	`conf`	LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. ICML David Ireland, Giovanni Montana
2022	J	`jnl`	LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. CoRR David Ireland, Giovanni Montana
2022	J	`jnl`	Model-based Trajectory Stitching for Improved Offline Reinforcement Learning. CoRR Charles A. Hepburn, Giovanni Montana
2022	J	`jnl`	Model-based trajectory stitching for improved behavioural cloning and its applications. CoRR Charles A. Hepburn, Giovanni Montana
2022	J	`jnl`	Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Mach. Learn. Ozsel Kilinc, Giovanni Montana
2021	J	`jnl`	A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2021	J	`jnl`	Automated Knee X-ray Report Generation. CoRR Aydan Gasimova, Giovanni Montana, Daniel Rueckert
2021	A*	`conf`	Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. ICML Henry Charlesworth, Giovanni Montana
2020	—	`conf`	A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
2020	J	`jnl`	A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
2020	J	`jnl`	Adaptive Experience Selection for Policy Gradient. CoRR Saad Mohamad, Giovanni Montana
2020	J	`jnl`	Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. CoRR Emanuele Pesce, Giovanni Montana
2020	B	`conf`	Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans. Image Processing Ksenia Sokolova, Gareth J. Barker, Giovanni Montana
2020	J	`jnl`	Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. CoRR Ozsel Kilinc, Giovanni Montana
2020	J	`jnl`	Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication. Mach. Learn. Emanuele Pesce, Giovanni Montana
2020	A*	`conf`	PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. NeurIPS Henry Charlesworth, Giovanni Montana
2020	J	`jnl`	PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. CoRR Henry Charlesworth, Giovanni Montana
2020	J	`jnl`	Real-time diameter of the fetal aorta from ultrasound. Neural Comput. Appl. Nicoló Savioli, Enrico Grisan, Silvia Visentin, Erich Cosmi, Giovanni Montana, Pablo Lamata
2020	J	`jnl`	Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. CoRR Henry Charlesworth, Giovanni Montana
2019	—	`conf`	Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization. ITSC Briti Gangopadhyay, Siddartha Khastgir, Sumanta Dey, Pallab Dasgupta, Giovanni Montana, Paul A. Jennings
2019	J	`jnl`	Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication. CoRR Emanuele Pesce, Giovanni Montana
2019	J	`jnl`	Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Anal. Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, Robert Bakewell, Vicky Goh, Giovanni Montana
2019	J	`jnl`	Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. CoRR Ozsel Kilinc, Yang Hu, Giovanni Montana
2019	J	`jnl`	Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. CoRR Yang Hu, Giovanni Montana
2019	J	`jnl`	Spectral Multi-scale Community Detection in Temporal Networks with an Application. CoRR Zhana Kuncheva, Giovanni Montana
2019	—	`conf`	Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2019	J	`jnl`	Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2018	J	`jnl`	A Generative Adversarial Model for Right Ventricle Segmentation. CoRR Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana
2018	J	`jnl`	Adaptive regularization for Lasso models in the context of nonstationary data streams. Stat. Anal. Data Min. Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
2018	—	`conf`	Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow. SNAMS Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana
2018	J	`jnl`	Automated segmentation on the entire cardiac cycle using a deep learning work-flow. CoRR Nicoló Savioli, Miguel S. Vieira, Pablo Lamata, Giovanni Montana
2018	Misc	`conf`	Deep metric learning for multi-labelled radiographs. SAC Mauro Annarumma, Giovanni Montana
2018	—	`conf`	Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM. DLMIA/ML-CDS@MICCAI Ruggiero Santeramo, Samuel Withey, Giovanni Montana
2018	J	`jnl`	Longitudinal detection of radiological abnormalities with time-modulated LSTM. CoRR Ruggiero Santeramo, Samuel Withey, Giovanni Montana
2018	J	`jnl`	Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. CoRR Ozsel Kilinc, Giovanni Montana
2018	J	`jnl`	Random forest regression for manifold-valued responses. Pattern Recognit. Lett. Dimosthenis Tsagkrasoulis, Giovanni Montana
2018	—	`conf`	Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. ICANN (2) Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana
2018	J	`jnl`	Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. CoRR Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana
2018	J	`jnl`	V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation. CoRR Nicoló Savioli, Giovanni Montana, Pablo Lamata
2018	—	`conf`	V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation. STACOM@MICCAI Nicoló Savioli, Giovanni Montana, Pablo Lamata
2017	J	`jnl`	Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers Comput. Neurosci. Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
2017	J	`jnl`	Deep metric learning for multi-labelled radiographs. CoRR Mauro Annarumma, Giovanni Montana
2017	Misc	`conf`	Exploring Brain Transcriptomic Patterns: A Topological Analysis Using Spatial Expression Networks. PSB Zhana Kuncheva, Michelle L. Krishnan, Giovanni Montana
2017	J	`jnl`	Learning to detect chest radiographs containing lung nodules using visual attention networks. CoRR Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana
2017	J	`jnl`	Learning what to look in chest X-rays with a recurrent visual attention model. CoRR Petros-Pavlos Ypsilantis, Giovanni Montana
2017	—	`conf`	Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets. PAP@PKDD/ECML Zhana Kuncheva, Giovanni Montana
2017	J	`jnl`	Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets. CoRR Zhana Kuncheva, Giovanni Montana
2017	J	`jnl`	Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. NeuroImage James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana
2016	J	`jnl`	A framework for adaptive regularization in streaming Lasso models. CoRR Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
2016	J	`jnl`	Characterising brain network topologies: A dynamic analysis approach using heat kernels. NeuroImage Ai Wern Chung, Markus Schirmer, Michelle L. Krishnan, Gareth Ball, Paul Aljabar, A. David Edwards, Giovanni Montana
2016	—	`conf`	Classifying HCP task-fMRI networks using heat kernels. PRNI Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti, Giovanni Montana
2016	—	`conf`	Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks. Louhi@EMNLP Savelie Cornegruta, Robert Bakewell, Samuel Withey, Giovanni Montana
2016	J	`jnl`	Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks. CoRR Savelie Cornegruta, Robert Bakewell, Samuel Withey, Giovanni Montana
2016	J	`jnl`	Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. CoRR James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana
2016	J	`jnl`	Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging. CoRR Petros-Pavlos Ypsilantis, Giovanni Montana
2016	—	`conf`	Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. RAMBO+HVSMR@MICCAI Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana
2016	J	`jnl`	Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. CoRR Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana
2016	J	`jnl`	Special Issue on Advances in Data Mining and Robust Statistics. Comput. Stat. Data Anal. Michael W. Berry, Jung Jin Lee, Giovanni Montana, Stefan Van Aelst, Ruben H. Zamar
2016	—	`conf`	Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. PRNI Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana
2016	J	`jnl`	Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. CoRR Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana
2016	J	`jnl`	Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
2016	—	`conf`	Text-mining the neurosynth corpus using deep boltzmann machines. PRNI Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
2016	J	`jnl`	The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage Romy Lorenz, Ricardo Pio Monti, Inês R. Violante, Christoforos Anagnostopoulos, Aldo A. Faisal, Giovanni Montana, Robert Leech
2016	—	`conf`	Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. PRNI Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante
2015	C	`conf`	Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling. FedCSIS Eva Janousová, Daniel Schwarz, Giovanni Montana, Tomás Kaspárek
2015	B	`conf`	Community Detection in Multiplex Networks using Locally Adaptive Random Walks. ASONAM Zhana Kuncheva, Giovanni Montana
2015	J	`jnl`	Community detection in multiplex networks using locally adaptive random walks. CoRR Zhana Kuncheva, Giovanni Montana
2015	J	`jnl`	Deep Neural Networks for Anatomical Brain Segmentation. CoRR Alexandre de Brébisson, Giovanni Montana
2015	—	`conf`	Deep neural networks for anatomical brain segmentation. CVPR Workshops Alexandre de Brébisson, Giovanni Montana
2015	J	`jnl`	Differential analysis of biological networks. BMC Bioinform. Da Ruan, Alastair Young, Giovanni Montana
2015	—	`conf`	Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data. PRNI Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
2015	—	`conf`	Predicting Alzheimer's Disease - A Neuroimaging Study with 3D Convolutional Neural Networks. ICPRAM (2) Adrien Payan, Giovanni Montana
2015	J	`jnl`	Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks. CoRR Adrien Payan, Giovanni Montana
2015	J	`jnl`	Sparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons. Bioinform. Zi Wang, Wei Yuan, Giovanni Montana
2014	J	`jnl`	A Bayesian mixture of lasso regressions with t-errors. Comput. Stat. Data Anal. Alberto Cozzini, Ajay Jasra, Giovanni Montana, Adam Persing
2014	J	`jnl`	Distance-Based Analysis of Variance: Approximate Inference. Stat. Anal. Data Min. Christopher Minas, Giovanni Montana
2014	J	`jnl`	Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
2014	J	`jnl`	Network-guided regression for detecting associations between DNA methylation and gene expression. Bioinform. Zi Wang, Edward W. J. Curry, Giovanni Montana
2014	J	`jnl`	Subspace clustering of high-dimensional data: a predictive approach. Data Min. Knowl. Discov. Brian McWilliams, Giovanni Montana
2013	J	`jnl`	A distance-based test of association between paired heterogeneous genomic data. Bioinform. Christopher Minas, Edward W. J. Curry, Giovanni Montana
2013	J	`jnl`	Model-Based Clustering with gene Ranking using penalized Mixtures of heavy-tailed Distributions. J. Bioinform. Comput. Biol. Alberto Cozzini, Ajay Jasra, Giovanni Montana
2013	J	`jnl`	Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes. BMC Bioinform. Yue Wang, Wilson Wen Bin Goh, Limsoon Wong, Giovanni Montana
2012	B	`conf`	A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data. IDA Maurice Berk, Giovanni Montana
2012	J	`jnl`	Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. NeuroImage Matt Silver, Eva Janousová, Xue Hua, Paul M. Thompson, Giovanni Montana
2012	J	`jnl`	Multi-view predictive partitioning in high dimensions. Stat. Anal. Data Min. Brian McWilliams, Giovanni Montana
2012	J	`jnl`	Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage Maria Vounou, Eva Janousová, Robin Wolz, Jason L. Stein, Paul M. Thompson, Daniel Rueckert, Giovanni Montana
2011	J	`jnl`	A statistical framework for biomarker discovery in metabolomic time course data. Bioinform. Maurice Berk, Timothy M. D. Ebbels, Giovanni Montana
2011	J	`jnl`	Distance-based differential analysis of gene curves. Bioinform. Christopher Minas, Simon J. Waddell, Giovanni Montana
2011	J	`jnl`	Dynamic modeling of mean-reverting spreads for statistical arbitrage. Comput. Manag. Sci. Kostas Triantafyllopoulos, Giovanni Montana
2011	J	`jnl`	False positives in neuroimaging genetics using voxel-based morphometry data. NeuroImage Matt Silver, Giovanni Montana, Thomas E. Nichols
2011	—	`conf`	Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease. MIUA Eva Janousová, Maria Vounou, Robin Wolz, Katherine R. Gray, Daniel Rueckert, Giovanni Montana
2011	—	`conf`	Predictive Subspace Clustering. ICMLA (1) Brian McWilliams, Giovanni Montana
2010	J	`jnl`	Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach. NeuroImage Maria Vounou, Thomas E. Nichols, Giovanni Montana
2010	J	`jnl`	Sparse partial least squares regression for on-line variable selection with multivariate data streams. Stat. Anal. Data Min. Brian McWilliams, Giovanni Montana
2009	J	`jnl`	Flexible least squares for temporal data mining and statistical arbitrage. Expert Syst. Appl. Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris
2008	Misc	`conf`	Data stream mining for market-neutral algorithmic trading. SAC Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris
2008	Misc	`conf`	Learning to Trade with Incremental Support Vector Regression Experts. HAIS Giovanni Montana, Francesco Parrella
2007	J	`jnl`	Statistical software for gene mapping by admixture linkage disequilibrium. Briefings Bioinform. Giovanni Montana, Clive J. Hoggart
2006	J	`jnl`	Statistical methods in genetics. Briefings Bioinform. Giovanni Montana
2005	J	`jnl`	HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients. Bioinform. Giovanni Montana