In the rapidly evolving landscape of medical imaging diagnostics, achiev...
The proliferation of deep learning applications in healthcare calls for ...
In recent years, deep learning models have revolutionized medical image
...
This paper proposes a multimodal emotion recognition system based on hyb...
This paper proposes a multimodal emotion recognition system, VIsual Spok...
In this paper, we have defined a novel task of affective feedback synthe...
Location-Based Recommendation Services (LBRS) has seen an unprecedented ...
This paper has proposed a novel approach to classify the subjects' smoki...
In this paper, a domain adaptation based technique for recognizing the
e...
In this paper, an end-to-end neural embedding system based on triplet lo...
Evaluation of students' performance for the completion of courses has be...
The performance of text-to-speech (TTS) systems heavily depends on
spect...
Video skimming, also known as dynamic video summarization, generates a
t...
In this paper, we present a novel deep fusion architecture for audio
cla...
A major challenge to the problem of community question answering is the
...
Identifying the veracity of a news article is an interesting problem whi...
Deep learning techniques have been successfully used in learning a commo...