Results 51 to 60 of about 598,648 (280)
AugLy: Data Augmentations for Robustness
CoRR, 2022 We introduce AugLy, a data augmentation library with a focus on adversarial robustness. AugLy provides a wide array of augmentations for multiple modalities (audio, image, text, & video). These augmentations were inspired by those that real users perform on social media platforms, some of which were not already supported by existing data ...
Zoe Papakipos, Joanna Bitton
openaire +2 more sources
Data Augmentation using Counterfactuals: Proximity vs Diversity
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Counterfactual explanations are gaining in popularity as a way of explaining machine learning models. Counterfactual examples are generally created to help interpret the decision of a model.
Md Golam Moula Mehedi Hasan +1 more
doaj +1 more source
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
, 2018 We propose a novel data augmentation for labeled sentences called contextual augmentation. We assume an invariance that sentences are natural even if the words in the sentences are replaced with other words with paradigmatic relations.
Kobayashi, Sosuke
core +1 more source
Data Augmentation for Skin Lesion Analysis
, 2018 Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited.
Avila, Sandra +3 more
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
FEBS Letters, EarlyView.Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
LLM-Based Persona-Driven Text Data Augmentation
IEEE AccessIllicit online communication, such as drug-dealing dialogues, is increasingly conducted through covert, context dependent language patterns that evade traditional detection techniques in South Korea.
Hyeon Seong Jeong +3 more
doaj +1 more source
Adversarial Data Augmentation on Breast MRI Segmentation
Applied Sciences, 2021 The scarcity of balanced and annotated datasets has been a recurring problem in medical image analysis. Several researchers have tried to fill this gap employing dataset synthesis with adversarial networks (GANs).
João F. Teixeira +5 more
doaj +1 more source
PanDA: Panoptic Data Augmentation [PDF]
, 2019 The recently proposed panoptic segmentation task presents a significant challenge of image understanding with computer vision by unifying semantic segmentation and instance segmentation tasks. In this paper we present an efficient and novel panoptic data
Liu, Yang +2 more
core +1 more source
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