|
|
|
|
|
Anne M. Tall and Cliff C. Zou
Controlling access to a large set of medical and social media data processed in a cloud environment using open-source Hadoop storage and Spark parallel processing.
|
|
|
|
|
|
|
|
|
Suleiman Abu Kharmeh, Emad Natsheh, Batoul Sulaiman, Mohammad Abuabiah and Saed Tarapiah
Datasets used for artificial-neural-network and machine-learning applications play a vital role in the research and application of such techniques in solving real-life problems. The construction and availability of large datasets to be used in the off-li...
ver más
|
|
|
|
|
|
|
|
|
Narendra Patwardhan, Stefano Marrone and Carlo Sansone
The field of Natural Language Processing (NLP) has undergone a significant transformation with the introduction of Transformers. From the first introduction of this technology in 2017, the use of transformers has become widespread and has had a profound ...
ver más
|
|
|
|
|
|
|
|
|
Jens Dörpinghaus, David Samray and Robert Helmrich
The German labor market relies heavily on vocational training, retraining, and continuing education. In order to match training seekers with training offers and to make the available data interoperable, we present a novel approach to automatically detect...
ver más
|
|
|
|
|
|
|
|
|
Elizabeth Ford, Richard Tyler, Natalie Johnston, Vicki Spencer-Hughes, Graham Evans, Jon Elsom, Anotida Madzvamuse, Jacqueline Clay, Kate Gilchrist and Melanie Rees-Roberts
Background: In the United Kingdom National Health Service (NHS), digital transformation programmes have resulted in the creation of pseudonymised linked datasets of patient-level medical records across all NHS and social care services. In the Southeast E...
ver más
|
|
|
|