Results 51 to 60 of about 10,630,553 (293)
This dataset contains key characteristics about the data described in the Data Descriptor A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain.
Scientific Data Curation Team (7929692)
core +1 more source
This TAR file contains the example dataset to run and understand snpSTARRseq ...
Tunc Morova (11836970)
core +1 more source
Enhancing Small Medical Dataset Classification Performance Using GAN
Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a generative adversarial network (GAN) as a data-augmentation technique.
Mohammad Alauthman +6 more
doaj +1 more source
Dataset of development of business during the COVID-19 crisis
To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil ...
Litvinova, T (via Mendeley Data) +1 more
core +1 more source
Dogs versus Cats Audio Dataset
A small audio dataset generated from YouTube videos. The dataset has 566 cat sounds and 484 dog sounds. This was used as a contextual data source for research into contextual machine learning.
Martin Kinch (12990941)
core +1 more source
Hybrid Feature Model for Emotion Recognition in Arabic Text
In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this paper,
Nourah Alswaidan +1 more
doaj +1 more source
Expected results compared to sex disparities in a small dataset were conducted using χ2.
Dustin W. Davis (11552855) +2 more
core +1 more source
Efficient Training of Visual Transformers with Small Datasets
Visual Transformers (VTs) are emerging as an architectural paradigm alternative to Convolutional networks (CNNs). Differently from CNNs, VTs can capture global relations between image elements and they potentially have a larger representation capacity.
Liu, Yahui +5 more
openaire +5 more sources
Dataset of "The role of folate receptor α in the partial rejuvenation of dentate gyrus cells. Improvement of cognitive function in elderly mice". Data from experiments where intracerebral injection of small compounds, such as folate or an FRalpha ...
Alejandro Anton (14796001) +2 more
core +1 more source
CvS: Classification via Segmentation For Small Datasets
Deep learning models have shown promising results in a wide range of computer vision applications across various domains. The success of deep learning methods relies heavily on the availability of a large amount of data. Deep neural networks are prone to overfitting when data is scarce.
Nooshin Mojab +3 more
openaire +4 more sources

