An experimental investigation of text-based captcha attacks and their robustness
Text-based CAPTCHA has become one of the most popular methods for preventing bot
attacks. With the rapid development of deep learning techniques, many new methods to …
attacks. With the rapid development of deep learning techniques, many new methods to …
Simulation intelligence: Towards a new generation of scientific methods
The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …
computing, where a motif is an algorithmic method that captures a pattern of computation …
Deep learning enables fast and dense single-molecule localization with high accuracy
Single-molecule localization microscopy (SMLM) has had remarkable success in imaging
cellular structures with nanometer resolution, but standard analysis algorithms require …
cellular structures with nanometer resolution, but standard analysis algorithms require …
Automatic posterior transformation for likelihood-free inference
D Greenberg, M Nonnenmacher… - … on Machine Learning, 2019 - proceedings.mlr.press
How can one perform Bayesian inference on stochastic simulators with intractable
likelihoods? A recent approach is to learn the posterior from adaptively proposed …
likelihoods? A recent approach is to learn the posterior from adaptively proposed …
Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer
A Atapour-Abarghouei… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Monocular depth estimation using learning-based approaches has become promising in
recent years. However, most monocular depth estimators either need to rely on large …
recent years. However, most monocular depth estimators either need to rely on large …
Training deep neural density estimators to identify mechanistic models of neural dynamics
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …
underlying causes. However, determining which model parameters agree with complex and …
An introduction to probabilistic programming
This book is a graduate-level introduction to probabilistic programming. It not only provides a
thorough background for anyone wishing to use a probabilistic programming system, but …
thorough background for anyone wishing to use a probabilistic programming system, but …
Yet another text captcha solver: A generative adversarial network based approach
Despite several attacks have been proposed, text-based CAPTCHAs are still being widely
used as a security mechanism. One of the reasons for the pervasive use of text captchas is …
used as a security mechanism. One of the reasons for the pervasive use of text captchas is …
Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation
AM Sanchez de la Nava, F Atienza… - American Journal …, 2021 - journals.physiology.org
Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification,
diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk …
diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk …
Dada: Deep adversarial data augmentation for extremely low data regime classification
Deep learning has revolutionized the performance of classification, but meanwhile demands
sufficient labeled data for training. Given insufficient data, while many techniques have been …
sufficient labeled data for training. Given insufficient data, while many techniques have been …