Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Fusing active orientation models and mid-term audio features for automatic depression estimation
Detecting depression from facial actions and vocal prosody
Depression Severity Estimation from Multiple Modalities
AVEC 2013: the continuous audio/visual emotion and depression recognition challenge
Multimodal Measurement of Depression Using Deep Learning Models
Cross-corpus depression prediction from speech
Depression detection using emotion artificial intelligence
Deep learning for robust feature generation in audiovisual emotion recognition
Robust Voice Activity Detection using Cepstral Features.
Emotion spotting: discovering regions of evidence in audio-visual emotion expressions
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks
Emotion detection from speech to enrich multimedia content
Ear recognition using pyramid histogram of orientation gradients
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Speech emotion recognition with deep learning
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Comparison between decision-level and feature-level fusion of acoustic and linguistic features for spontaneous emotion recognition
AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features
Inferring clinical depression from speech and spoken utterances
Predicting Latent Narrative Mood Using Audio and Physiologic Data.
A Convolutional Click Prediction Model
Analysis and Evaluation of Similarity Metrics in Collaborative Filtering Recommender System
The INTERSPEECH 2010 paralinguistic challenge
getting consensus for data replication : technical perspective .
CID: an efficient complexity-invariant distance for time series