1 |
3-D-Convolutional-Recurrent-Neural-Networks-with-Attention-Model-for-Speech-Emotion-Recognition |
source |
notes |
2 |
Acoustic scene classification using parallel combination of lstm and cnn |
source |
TBD |
3 |
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets |
source |
notes |
4 |
Attention-based LSTM for Aspect-level Sentiment Classification |
source |
TBD |
5 |
Benchmarking Multimodal Sentiment Analysis |
source |
notes |
6 |
Context-Dependent Sentiment Analysis in User-Generated Videos |
source |
notes |
7 |
Linguistically Regularized LSTM for Sentiment Classification |
source |
notes |
8 |
Representation-Learning-with-Contrastive-Predictive-Coding |
source |
TBD |
9 |
Speech Emotion Recognition: Two Decades in a Nutshell, Benchmarks, and Ongoing Trends |
source |
TBD |
10 |
Sentiment-Analysis-on-Speaker-Specific-Speech-Data |
source |
TBD |
11 |
multiple-attentions-for-multimodal-sentiment-analysis |
source |
notes |
12 |
SoundNet-Learning-Sound-Representations-from-Unlabeled-Video |
source |
notes |
13 |
An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech |
source |
TBD |
14 |
Audio Visual Attribute Discovery for Fine-Grained Object Recognition |
source |
TBD |
15 |
Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification |
source |
TBD |
16 |
Audio Feature Learning with Triplet-Based Embedding Network |
source |
TBD |
17 |
Music Genre classification using a hierarchical Long Short Term Memory (LSTM) model |
source |
TBD |
18 |
Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition |
source |
TBD |
19 |
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech |
source |
TBD |
20 |
Deep spatio-temporal features for multimodal emotion recognition |
source |
TBD |
21 |
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling |
source |
TBD |
22 |
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings |
source |
TBD |
23 |
Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach |
source |
TBD |
24 |
Densely Connected CNN with Multi-scale Feature Attention for Text Classification |
source |
TBD |
25 |
Focal Loss for Dense Object Detection |
source |
TBD |
26 |
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification |
source |
TBD |
27 |
A systematic study of the class imbalance problem in convolutional neural networks |
source |
TBD |
28 |
Learning Deep Representation for Imbalanced Classification |
source |
LMLE |
29 |
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph |
source |
TBD |
30 |
A Survey on Methods for Solving Data Imbalance Problem for Classification |
source |
TBD |