Giovanni Montana
Orcid: 0000-0003-3942-3900
According to our database1,
Giovanni Montana
authored at least 96 papers
between 2005 and 2024.
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Bibliography
2024
Mach. Learn., May, 2024
Model-based trajectory stitching for improved behavioural cloning and its applications.
Mach. Learn., February, 2024
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning.
Mach. Learn., January, 2024
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models.
Trans. Mach. Learn. Res., 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
IEEE Trans. Circuits Syst. Video Technol., September, 2023
Mach. Learn., February, 2023
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR.
IEEE Trans. Medical Imaging, 2023
An optimization framework to guide the choice of thresholds for risk-based cancer screening.
npj Digit. Medicine, 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023
2022
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations.
Mach. Learn., 2022
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning.
CoRR, 2022
CoRR, 2022
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation.
Proceedings of the International Conference on Machine Learning, 2022
2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR.
CoRR, 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication.
Mach. Learn., 2020
CoRR, 2020
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
2019
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.
Medical Image Anal., 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication.
CoRR, 2019
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Adaptive regularization for Lasso models in the context of nonstationary data streams.
Stat. Anal. Data Min., 2018
Pattern Recognit. Lett., 2018
CoRR, 2018
Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
NeuroImage, 2017
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods.
Frontiers Comput. Neurosci., 2017
Learning to detect chest radiographs containing lung nodules using visual attention networks.
CoRR, 2017
CoRR, 2017
Exploring Brain Transcriptomic Patterns: A Topological Analysis Using Spatial Expression Networks.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017
2016
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI.
NeuroImage, 2016
Characterising brain network topologies: A dynamic analysis approach using heat kernels.
NeuroImage, 2016
Comput. Stat. Data Anal., 2016
CoRR, 2016
Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016
2015
Sparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons.
Bioinform., 2015
Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Predicting Alzheimer's Disease - A Neuroimaging Study with 3D Convolutional Neural Networks.
Proceedings of the ICPRAM 2015, 2015
Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Stat. Anal. Data Min., 2014
NeuroImage, 2014
Data Min. Knowl. Discov., 2014
Comput. Stat. Data Anal., 2014
Network-guided regression for detecting associations between DNA methylation and gene expression.
Bioinform., 2014
2013
Model-Based Clustering with gene Ranking using penalized Mixtures of heavy-tailed Distributions.
J. Bioinform. Comput. Biol., 2013
Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.
BMC Bioinform., 2013
Bioinform., 2013
2012
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
NeuroImage, 2012
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression.
NeuroImage, 2012
A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
2011
NeuroImage, 2011
Comput. Manag. Sci., 2011
Bioinform., 2011
Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
Sparse partial least squares regression for on-line variable selection with multivariate data streams.
Stat. Anal. Data Min., 2010
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.
NeuroImage, 2010
2009
Expert Syst. Appl., 2009
2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
2007
Briefings Bioinform., 2007
2006
2005
HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients.
Bioinform., 2005