INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15595
Abstract: Abstract Purpose Breast cancer is the most common malignancy in women. Unfortunately, current breast imaging techniques all suffer from certain limitations: they are either not fully three dimensional, have an insufficient resolution or low soft‐tissue… read more here.
Keywords: insidenet; breast; grating interferometry; data efficient ... See more keywords
MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
Sign Up to like & getrecommendations! Published in 2021 at "Computational Mechanics"
DOI: 10.1007/s00466-021-02042-0
Abstract: We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy. The multifidelity surrogate encodes connections between information sources as a directed acyclic graph, and is trained via… read more here.
Keywords: information; information sources; multifidelity; data efficient ... See more keywords
Graph interpolating activation improves both natural and robust accuracies in data-efficient deep learning
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Applied Mathematics"
DOI: 10.1017/s0956792520000406
Abstract: Improving the accuracy and robustness of deep neural nets (DNNs) and adapting them to small training data are primary tasks in deep learning (DL) research. In this paper, we replace the output activation function of… read more here.
Keywords: activation; graph interpolating; data efficient; deep learning ... See more keywords
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
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DOI: 10.1038/s41551-020-00682-w
Abstract: Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we report an… read more here.
Keywords: weakly supervised; slide images; data efficient; pathology ... See more keywords
Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning
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DOI: 10.1109/access.2019.2913001
Abstract: A high required number of interactions with the environment is one of the most important problems in reinforcement learning (RL). To deal with this problem, several data-efficient RL algorithms have been proposed and successfully applied… read more here.
Keywords: optimistic sampling; reinforcement learning; optimal sampling; strategy ... See more keywords
Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3196780
Abstract: Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a concern. For classification tasks,… read more here.
Keywords: supervised learning; robust data; data efficient; deep supervised ... See more keywords
A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2945240
Abstract: In this letter, we introduce a novel data-driven inverse dynamics estimator based on Gaussian Process Regression. Driven by the fact that the inverse dynamics can be described as a polynomial function on a suitable input… read more here.
Keywords: inspired polynomial; inverse dynamics; geometrically inspired; data efficient ... See more keywords
Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3192863
Abstract: Many unmixing methods hold the assumption that endmembers correspond to major land covers, but not true for some unmixing tasks where observed minor object signals corresponding to some special types of endmembers are relatively weak.… read more here.
Keywords: signal analysis; hyperspectral data; weak signal; toward weak ... See more keywords
Data-Efficient Off-Policy Learning for Distributed Optimal Tracking Control of HMAS With Unidentified Exosystem Dynamics.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3172130
Abstract: In this article, a data-efficient off-policy reinforcement learning (RL) approach is proposed for distributed output tracking control of heterogeneous multiagent systems (HMASs) using approximate dynamic programming (ADP). Different from existing results that the kinematic model… read more here.
Keywords: efficient policy; exosystem; output; data efficient ... See more keywords
A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on ultrasonics, ferroelectrics, and frequency control"
DOI: 10.1109/tuffc.2023.3245988
Abstract: Deep learning (DL) powered biomedical ultrasound imaging is an emerging research field where researchers adapt the image analysis capabilities of DL algorithms to biomedical ultrasound imaging settings. A major roadblock to wider adoption of DL… read more here.
Keywords: biomedical ultrasound; zone training; training; strategy ... See more keywords
Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0209409
Abstract: BACKGROUND Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs… read more here.
Keywords: diagnosis; data efficient; cup disc; glaucoma ... See more keywords