Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Multimodal depression recognition with dynamic visual and audio cues
Multimodal assistive technologies for depression diagnosis and monitoring
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks
Integration of deep bottleneck features for audio-visual speech recognition.
Detecting stress and depression in adults with aphasia through speech analysis
Audio-visual speech activity detection in a two-speaker scenario incorporating depth information from a profile or frontal view
Audio-visual spontaneous emotion recognition
Cross-corpus depression prediction from speech
Computer-Aided Diagnosis of Depression Using EEG Signals
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Audio-visual speech recognition using deep learning
Multimodal emotion recognition using EEG and eye tracking data
A robust audio-visual speech recognition using audio-visual voice activity detection.
Social risk and depression: Evidence from manual and automatic facial expression analysis
A review of speech-based bimodal recognition
Investigating Voice Quality as a Speaker-Independent Indicator of Depression and PTSD
Multiple Emotions Detection in Conversation Transcripts
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology
Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Relational.OWL - A Data and Schema Representation Format Based on OWL
Seemo: A Computational Approach to See Emotions
Understanding Human Mobility from Twitter