A Deep Learning-Based System for the MEDDOCAN Task

The aim of this paper is to develop a deep learning based formation control strategy for the multi-agent systems by using the backpropagation algorithm.. Specifically, the deep

In particular, it introduces a new deep multi- task learning architecture that outperforms a widespread method on simulated data for gamma event reconstruction from IACT data in

Deep learning onto graph space: application to image-based insect recognition..

Leveraging multi-task learning, our deep learning model aligns the existing building polygons to the new image through a displacement output, and also detects new buildings that do

In the system implementation, we have used a special type of Recurrent Neural Network (RNN) based deep learning approach known as Long Short Term Memory (LSTM) [10, 11] to detect

Recently, new approaches based on Deep Learning have demonstrated good capacities to tackle Natural Language Processing problems, such as text classification and information

In this paper, we proposed a method for topic identification as a typical case of text categorization on Spanish tweets by using the deep representation of words.. Results

The LifeCLEF bird identification challenge provides a large- scale testbed for the system-oriented evaluation of bird species identifi- cation based on audio recordings.. One of