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Found 13 papers, 0 papers with code
An Interactive Analysis of User-reported Long COVID Symptoms using Twitter Data
With millions of documented recoveries from COVID-19 worldwide, various long-term sequelae have been observed in a large group of survivors.
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
The COVID-19 outbreak is an ongoing worldwide pandemic that was announced as a global health crisis in March 2020.
Pattern Recognition in Vital Signs Using Spectrograms
The results from the proposed approach are promising with an accuracy of 91. 55% and 91. 67% in prediction and classification tasks respectively.
Detecting Troll Tweets in a Bilingual Corpus
This paper aims to detect troll tweets in both English and Russian assuming that the tweets are generated by some {``}troll farm.
3DPIFCM Novel Algorithm for Segmentation of Noisy Brain MRI Images
We present a novel algorithm named 3DPIFCM, for automatic segmentation of noisy MRI Brain images.
Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images
We show that the speedup of the parallel version increases as we increase the size of the image due to better utilization of cores in the GPU.
Using Graphs for Word Embedding with Enhanced Semantic Relations
Word embedding algorithms have become a common tool in the field of natural language processing.
Using Discretization for Extending the Set of Predictive Features
We also demonstrate that $ 10 $ other discretization algorithms can also be used to generate features that yield improved performance when used in combination with the original non-discretized data.
A Syntactic Approach to Domain-Specific Automatic Question Generation
Contrary to existing domain-specific AQG systems that utilize the template-based approach to question generation, we propose to transform each source sentence into a set of questions by applying a series of domain-independent rules (a syntactic-based approach).
