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336 418 (0,301s)

Result

Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems

separately, each one with its own input/output training examples. Data augmentation (DA empirically evaluate the effectiveness of DA methods in an end-to-end ToDS setting, where). We consider three types ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Unproportional mosaicing

Data shift is gap between data distribution used for training and data distribution encountered in real-world. Data augmentations help narrow the gap by generating new data samples, increasing

Applied mathematics

  • 2022
  • D
  • Link
Result

Use of Spiking Neural Networks over Augmented EEG Dataset

and spiking neural networks as EEG data classifiers. Since getting a larger number of EEG recordings requires much laborious laboratory work, using data augmentation methods, spiking neural networks over the a...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

Analysis of suitable augmentation methods to improve acoustic model in noisy open space environment.

The research report deals with the analysis of suitable methods of speech data augmentation for creating domain-oriented acoustic models for open space environments. This analysis was solved for contract research purposes....

Automation and control systems

  • 2019
  • O
Result

Syntax-aware data augmentation for neural machine translation

"Data augmentation is an effective method for the performance enhancement. In this article, we propose a novel data augmentation strategy for neural machine translation. Unlike existing data a...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • Jost
  • Link
Result

Noise Identification for Data-augmented Physics-based State-Space Models

systems. The emphasis is laid on the emerging area of data-augmented physics-based and data-based identified models. As the augmented state-space models depend on the measured data, modelling the state no...

Automation and control systems

  • 2024
  • D
  • Link
Result

Prediction of the Facial Growth Direction is Challenging

that plays a central role in the abovementioned problem. Then we successfully apply data augmentation (DA) methods and improve the previously reported classification accuracy......

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
  • Link
Result

Training Data Augmentation and Data Selection

, acoustic model adaptation, training data augmentation, and training criteria and datasets widely used in the field. Chapter 10 is about the Training Data Augmentation and Data Selection.This book covers ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • C
  • Link
Result

Augmentation cystoplasty in patients with multiple sclerosis

Augmentation cystoplasty is an effective approach to the detrusor hyperreflexia which is refractory to conservative treatment. Sporadic data have been published in patients with progressive diseases such as multiple sclerosis (MS). ...

FE - Ostatní obory vnitřního lékařství

  • 2003
  • Jx
Result

Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation

Object detection and semantic segmentation with the 3D LiDAR point cloud data require expensive annotation. We propose a data augmentation method that takes advantage of already annotated data multiple tim...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
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