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03/21/2021
Multi-view analysis of unregistered medical images using cross-view transformers
Multi-view medical image analysis often depends on the combination of in...
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11/08/2020
Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process
Long-term forecasting involves predicting a horizon that is far ahead of...
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05/06/2019
Unsupervised Domain Adaptation using Graph Transduction Games
Unsupervised domain adaptation (UDA) amounts to assigning class labels t...
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08/14/2018
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Computer-aided detection aims to improve breast cancer screening program...
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08/07/2018
Multi-Output Convolution Spectral Mixture for Gaussian Processes
Multi-output Gaussian processes (MOGPs) are recently extended by using s...
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08/03/2018
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes
Multi-Task Gaussian processes (MTGPs) have shown a significant progress ...
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08/01/2018
Spectral Mixture Kernels with Time and Phase Delay Dependencies
Spectral Mixture (SM) kernels form a powerful class of kernels for Gauss...
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04/12/2018
Simple Domain Adaptation with Class Prediction Uncertainty Alignment
Unsupervised domain adaptation tries to adapt a classifier trained on a ...
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03/20/2018
Domain Adaptation with Randomized Expectation Maximization
Domain adaptation (DA) is the task of classifying an unlabeled dataset (...
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11/15/2017
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images
Spectral-spatial classification of remotely sensed hyperspectral images ...
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09/14/2017
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Autism Spectrum Disorders are associated with atypical movements, of whi...
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06/16/2017
Biased Bagging for Unsupervised Domain Adaptation
Unsupervised domain adaptation (DA) is an active research area whose dev...
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02/25/2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
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10/24/2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Lacunes of presumed vascular origin (lacunes) are associated with an inc...
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10/16/2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
The anatomical location of imaging features is of crucial importance for...
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01/21/2016
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
Local network community detection is the task of finding a single commun...
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07/22/2014
Resolution-limit-free and local Non-negative Matrix Factorization quality functions for graph clustering
Many graph clustering quality functions suffer from a resolution limit, ...
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08/15/2013