Results 291 to 300 of about 599,022 (331)

Multi-Combination Fault Data Augmentation Method of Aero-Engine Gas Path Based on Extraction Timegan

open access: green
Yongzhan Chen   +6 more
openalex   +1 more source

Rotational data augmentation for electroencephalographic data

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
For deep learning on image data, a common approach is to augment the training data by artificial new images, using techniques like moving windows, scaling, affine distortions, and elastic deformations. In contrast to image data, electroencephalographic (EEG) data suffers even more from the lack of sufficient training data.We suggest and evaluate ...
Mario Michael, Krell, , Su Kyoung Kim
openaire   +2 more sources

Active Image Data Augmentation

2019
Deep neural networks models have achieved state-of-the-art results in a great number of different tasks in different domains (e.g., natural language processing and computer vision). However, the notions of robustness, causality, and fairness are not measured in traditional evaluated settings. In this work, we proposed an active data augmentation method
Flávio Arthur Oliveira Santos   +3 more
openaire   +2 more sources

Visually Augmenting Documents With Data

Computing in Science & Engineering, 2018
“ A picture is worth a thousand words ” is a famous English saying. It is true in many cases, because a complex idea or data can be simply conveyed through the use of a single static image or diagram. Therefore, inclusion of graphics and visualizations in scientific texts has been an important aspect ever since researchers started publishing articles ...
Latif, Shahid, Beck, Fabian
openaire   +2 more sources

Augmenting Data Warehouses with Big Data

Information Systems Management, 2015
In the past decade, corporations are increasingly engaging in efforts whose aim is the analysis and wide-ranging use of big data. The majority of academic big data articles have been focused on methods, approaches, opportunities, and organizational impact of big data analytics.
Nenad Jukić   +3 more
openaire   +1 more source

Training Data Augmentation and Data Selection

2017
Data augmentation is a simple and efficient technique to improve the robustness of a speech recognizer when deployed in mismatched training-test conditions. Our work, conducted during the JSALT 2015 workshop, aimed at the development of: (1) Data augmentation strategies including noising and reverberation.
Martin Karafiát   +7 more
openaire   +1 more source

Text Data Augmentation

2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), 2023
Deepali Joshi   +5 more
openaire   +1 more source

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