Giovanni Montana

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 85

Top Venues

Publications

Charles A. Hepburn, Yue Jin, Giovanni Montana
State-Constrained Offline Reinforcement Learning. CoRR (2024)
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
Embracing Relational Reasoning in Multi-Agent Actor-Critic. AAMAS (2024)
Charles A. Hepburn, Giovanni Montana
Model-based trajectory stitching for improved behavioural cloning and its applications. Mach. Learn. 113 (2) (2024)
David Ireland, Giovanni Montana
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. CoRR (2024)
Alex Beeson, Giovanni Montana
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. Mach. Learn. 113 (1) (2024)
Mianchu Wang, Yue Jin, Giovanni Montana
Goal-conditioned offline reinforcement learning through state space partitioning. Mach. Learn. 113 (5) (2024)
Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models. Trans. Mach. Learn. Res. 2024 (2024)
David Ireland, Giovanni Montana
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes. ICLR (2024)
Yuanyi Zhu, Maria Liakata, Giovanni Montana
A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports. LREC/COLING (2024)
Adam R. Brentnall, Emma C. Atakpa, Harry Hill, Ruggiero Santeramo, Celeste Damiani, Jack Cuzick, Giovanni Montana, Stephen W. Duffy
An optimization framework to guide the choice of thresholds for risk-based cancer screening. npj Digit. Medicine 6 (2023)
Nick Byrne, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging 42 (1) (2023)
Mianchu Wang, Yue Jin, Giovanni Montana
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning. CoRR (2023)
Mingqi Gao, Jungong Han, Feng Zheng, James J. Q. Yu, Giovanni Montana
Video Object Segmentation using Point-based Memory Network. Pattern Recognit. 134 (2023)
Mingqi Gao, Jinyu Yang, Jungong Han, Ke Lu, Feng Zheng, Giovanni Montana
Decoupling Multimodal Transformers for Referring Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
George Watkins, Giovanni Montana, Jürgen Branke
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. CoRR (2023)
Alex Beeson, Giovanni Montana
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. CoRR (2023)
Emanuele Pesce, Giovanni Montana
Learning multi-agent coordination through connectivity-driven communication. Mach. Learn. 112 (2) (2023)
George Watkins, Giovanni Montana, Jürgen Branke
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. LION (2023)
Charles A. Hepburn, Giovanni Montana
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning. CoRR (2022)
Charles A. Hepburn, Giovanni Montana
Model-based trajectory stitching for improved behavioural cloning and its applications. CoRR (2022)
Ozsel Kilinc, Giovanni Montana
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Mach. Learn. 111 (2) (2022)
David Ireland, Giovanni Montana
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. CoRR (2022)
Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. CoRR (2022)
David Ireland, Giovanni Montana
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation. ICML (2022)
Alex Beeson, Giovanni Montana
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning. CoRR (2022)
Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. MICCAI (8) (2022)
Henry Charlesworth, Giovanni Montana
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. ICML (2021)
Aydan Gasimova, Giovanni Montana, Daniel Rueckert
Automated Knee X-ray Report Generation. CoRR (2021)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR (2021)
Henry Charlesworth, Giovanni Montana
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. CoRR (2020)
Henry Charlesworth, Giovanni Montana
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. NeurIPS (2020)
Nicoló Savioli, Enrico Grisan, Silvia Visentin, Erich Cosmi, Giovanni Montana, Pablo Lamata
Real-time diameter of the fetal aorta from ultrasound. Neural Comput. Appl. 32 (11) (2020)
Emanuele Pesce, Giovanni Montana
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. CoRR (2020)
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR (2020)
Emanuele Pesce, Giovanni Montana
Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication. Mach. Learn. 109 (9-10) (2020)
Henry Charlesworth, Giovanni Montana
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. CoRR (2020)
Ksenia Sokolova, Gareth J. Barker, Giovanni Montana
Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans. Medical Imaging: Image Processing (2020)
Saad Mohamad, Giovanni Montana
Adaptive Experience Selection for Policy Gradient. CoRR (2020)
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Ozsel Kilinc, Giovanni Montana
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. CoRR (2020)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR (2019)
Zhana Kuncheva, Giovanni Montana
Spectral Multi-scale Community Detection in Temporal Networks with an Application. CoRR (2019)
Emanuele Pesce, Giovanni Montana
Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication. CoRR (2019)
Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, Robert Bakewell, Vicky Goh, Giovanni Montana
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Anal. 53 (2019)
Yang Hu, Giovanni Montana
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. CoRR (2019)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI (2019)
Briti Gangopadhyay, Siddartha Khastgir, Sumanta Dey, Pallab Dasgupta, Giovanni Montana, Paul A. Jennings
Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization. ITSC (2019)
Ozsel Kilinc, Yang Hu, Giovanni Montana
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. CoRR (2019)
Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana
A Generative Adversarial Model for Right Ventricle Segmentation. CoRR (2018)
Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. ICANN (2) (2018)
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Longitudinal detection of radiological abnormalities with time-modulated LSTM. CoRR (2018)
Nicoló Savioli, Giovanni Montana, Pablo Lamata
V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation. STACOM@MICCAI (2018)
Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. CoRR (2018)
Nicoló Savioli, Giovanni Montana, Pablo Lamata
V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation. CoRR (2018)
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM. DLMIA/ML-CDS@MICCAI (2018)
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
Adaptive regularization for Lasso models in the context of nonstationary data streams. Stat. Anal. Data Min. 11 (5) (2018)
Dimosthenis Tsagkrasoulis, Giovanni Montana
Random forest regression for manifold-valued responses. Pattern Recognit. Lett. 101 (2018)
Nicoló Savioli, Miguel S. Vieira, Pablo Lamata, Giovanni Montana
Automated segmentation on the entire cardiac cycle using a deep learning work-flow. CoRR (2018)
Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana
Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow. SNAMS (2018)
Ozsel Kilinc, Giovanni Montana
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. CoRR (2018)
Mauro Annarumma, Giovanni Montana
Deep metric learning for multi-labelled radiographs. SAC (2018)
Zhana Kuncheva, Michelle L. Krishnan, Giovanni Montana
Exploring Brain Transcriptomic Patterns: A Topological Analysis Using Spatial Expression Networks. PSB (2017)
Zhana Kuncheva, Giovanni Montana
Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets. CoRR (2017)
Petros-Pavlos Ypsilantis, Giovanni Montana
Learning what to look in chest X-rays with a recurrent visual attention model. CoRR (2017)
James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. NeuroImage 163 (2017)
Mauro Annarumma, Giovanni Montana
Deep metric learning for multi-labelled radiographs. CoRR (2017)
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana
Learning to detect chest radiographs containing lung nodules using visual attention networks. CoRR (2017)
Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers Comput. Neurosci. 11 (2017)
Zhana Kuncheva, Giovanni Montana
Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets. PAP@PKDD/ECML (2017)
Petros-Pavlos Ypsilantis, Giovanni Montana
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging. CoRR (2016)
Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana
Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. CoRR (2016)
Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. PRNI (2016)
Romy Lorenz, Ricardo Pio Monti, Inês R. Violante, Christoforos Anagnostopoulos, Aldo A. Faisal, Giovanni Montana, Robert Leech
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129 (2016)
Michael W. Berry, Jung Jin Lee, Giovanni Montana, Stefan Van Aelst, Ruben H. Zamar
Special Issue on Advances in Data Mining and Robust Statistics. Comput. Stat. Data Anal. 93 (2016)
Savelie Cornegruta, Robert Bakewell, Samuel Withey, Giovanni Montana
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks. CoRR (2016)
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
A framework for adaptive regularization in streaming Lasso models. CoRR (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR (2016)
Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana
Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. PRNI (2016)
Savelie Cornegruta, Robert Bakewell, Samuel Withey, Giovanni Montana
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks. Louhi@EMNLP (2016)
Ai Wern Chung, Markus Schirmer, Michelle L. Krishnan, Gareth Ball, Paul Aljabar, A. David Edwards, Giovanni Montana
Characterising brain network topologies: A dynamic analysis approach using heat kernels. NeuroImage 141 (2016)
James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. CoRR (2016)
Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. CoRR (2016)
Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. RAMBO+HVSMR@MICCAI (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the neurosynth corpus using deep boltzmann machines. PRNI (2016)
Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti, Giovanni Montana
Classifying HCP task-fMRI networks using heat kernels. PRNI (2016)
Adrien Payan, Giovanni Montana
Predicting Alzheimer's Disease - A Neuroimaging Study with 3D Convolutional Neural Networks. ICPRAM (2) (2015)
Eva Janousová, Daniel Schwarz, Giovanni Montana, Tomás Kaspárek
Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling. FedCSIS (2015)
Zi Wang, Wei Yuan, Giovanni Montana
Sparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons. Bioinform. 31 (19) (2015)
Da Ruan, Alastair Young, Giovanni Montana
Differential analysis of biological networks. BMC Bioinform. 16 (2015)
Zhana Kuncheva, Giovanni Montana
Community Detection in Multiplex Networks using Locally Adaptive Random Walks. ASONAM (2015)
Adrien Payan, Giovanni Montana
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks. CoRR (2015)
Alexandre de Brébisson, Giovanni Montana
Deep Neural Networks for Anatomical Brain Segmentation. CoRR (2015)
Zhana Kuncheva, Giovanni Montana
Community detection in multiplex networks using locally adaptive random walks. CoRR (2015)
Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data. PRNI (2015)
Alexandre de Brébisson, Giovanni Montana
Deep neural networks for anatomical brain segmentation. CVPR Workshops (2015)
Zi Wang, Edward W. J. Curry, Giovanni Montana
Network-guided regression for detecting associations between DNA methylation and gene expression. Bioinform. 30 (19) (2014)
Alberto Cozzini, Ajay Jasra, Giovanni Montana, Adam Persing
A Bayesian mixture of lasso regressions with t-errors. Comput. Stat. Data Anal. 77 (2014)
Christopher Minas, Giovanni Montana
Distance-Based Analysis of Variance: Approximate Inference. Stat. Anal. Data Min. 7 (6) (2014)
Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage 103 (2014)
Brian McWilliams, Giovanni Montana
Subspace clustering of high-dimensional data: a predictive approach. Data Min. Knowl. Discov. 28 (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giovanni Montana