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09/06/2023
GroupEnc: encoder with group loss for global structure preservation
Recent advances in dimensionality reduction have achieved more accurate ...
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09/07/2022
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems
Deep Reinforcement Learning uses a deep neural network to encode a polic...
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08/26/2022
PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition
Because of their strong theoretical properties, Shapley values have beco...
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02/22/2022
Evaluating Feature Attribution Methods in the Image Domain
Feature attribution maps are a popular approach to highlight the most im...
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10/18/2021
Topologically Regularized Data Embeddings
Unsupervised feature learning often finds low-dimensional embeddings tha...
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09/22/2021
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data
Distances between data points are widely used in point cloud representat...
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07/07/2020
Regional Image Perturbation Reduces L_p Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Regional adversarial attacks often rely on complicated methods for gener...
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11/13/2019
Cost-efficient segmentation of electron microscopy images using active learning
Over the last decade, electron microscopy has improved up to a point tha...
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12/03/2018
Essential guidelines for computational method benchmarking
In computational biology and other sciences, researchers are frequently ...
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10/23/2018
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Microscopy is one of the most essential imaging techniques in life scien...
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10/23/2018
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy
Biological membranes are one of the most basic structures and regions of...
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10/23/2018
Domain Adaptive Segmentation in Volume Electron Microscopy Imaging
In the last years, automated segmentation has become a necessary tool fo...
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03/21/2017