Results 51 to 60 of about 322,902 (281)
Fast Augmenting Paths by Random Sampling from Residual Graphs [PDF]
SIAM Journal on Computing, 2015 Summary: Consider an \(n\)-vertex, \(m\)-edge, undirected graph with integral capacities and max-flow value \(v\). We give a new \(\tilde{O}(m + nv)\)-time maximum flow algorithm. After assigning certain special sampling probabilities to edges in \(\tilde{O}(m)\) time, our algorithm is very simple: repeatedly find an augmenting path in a random sample ...
Karger, David R., Levine, Matthew S.
openaire +2 more sources
Sampling rare event energy landscapes via birth-death augmented dynamics
Physical Review E, 2023 17 pages, 5 ...
Benjamin Pampel +3 more
openaire +4 more sources
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Side-Scan Sonar Image Augmentation Method Based on CC-WGAN
Applied SciencesThe utilization of deep learning algorithms for side-scan sonar target detection is impeded by the restricted quantity and representativeness of side-scan sonar (SSS) samples.
Junhui Zhu +4 more
doaj +1 more source
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
, 2018 Recently, the introduction of the generative adversarial network (GAN) and its variants has enabled the generation of realistic synthetic samples, which has been used for enlarging training sets.
Cheung, Ngai-Man +5 more
core +1 more source
Molecular Oncology, EarlyView.Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
TADA: phylogenetic augmentation of microbiome samples enhances phenotype classification [PDF]
Bioinformatics, 2019 AbstractMotivationLearning associations of traits with the microbial composition of a set of samples is a fundamental goal in microbiome studies. Recently, machine learning methods have been explored for this goal, with some promise. However, in comparison to other fields, microbiome data are high-dimensional and not abundant; leading to a high ...
Sayyari, Erfan +2 more
openaire +2 more sources
Data Augmentation with Variational Autoencoders and Manifold Sampling [PDF]
, 2021 We propose a new efficient way to sample from a Variational Autoencoder in the challenging low sample size setting. This method reveals particularly well suited to perform data augmentation in such a low data regime and is validated across various standard and real-life data sets.
Chadebec, Clément +1 more
openaire +3 more sources
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The classification of remote sensing images with high spatial resolution requires considerable training samples, but the process of sample making is slow and laborious.
Baikai Sui +3 more
doaj +1 more source