The alfalfa crop is globally important as livestock feed, so highly effi...
Deep transfer learning techniques try to tackle the limitations of deep
...
Physical computing infrastructure, data gathering, and algorithms have
r...
Generative Adversarial Networks (GANs) are machine learning methods that...
A successful deep learning model is dependent on extensive training data...
Sarcasm detection is the task of identifying irony containing utterances...
Over the last decade, the use of Deep Learning in many applications prod...
Video Captioning is considered to be one of the most challenging problem...
The availability of abundant labeled data in recent years led the resear...
Classical machine learning assumes that the training and test sets come ...
People with Parkinson's disease must be regularly monitored by their
phy...
This study investigated the most important attributes of the 6-year
post...
This study investigated the most important attributes of the 6-year
post...
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
Several algorithms and tools have been developed to (semi) automate the
...