What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

Dialogue systems with audio context

(2020) Tom Young et al.   NEUROCOMPUTING

Fuzzy commonsense reasoning for multimodal sentiment analysis

(2019) Iti Chaturvedi et al.   PATTERN RECOGNITION LETTERS

Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing

(2019) Sijie Mai et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Multimodal Machine Learning: A Survey and Taxonomy

(2018) Tadas Baltrusaitis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection

(2018) Zhen-Tao Liu et al.   IEEE Transactions on Cognitive and Developmental Systems

Deep Multimodal Learning: A Survey on Recent Advances and Trends

(2017) Dhanesh Ramachandram et al.   IEEE SIGNAL PROCESSING MAGAZINE

A review of affective computing: From unimodal analysis to multimodal fusion

(2017) Soujanya Poria et al.   Information Fusion

Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

(2016) Amir Zadeh et al.   IEEE INTELLIGENT SYSTEMS

Affective Computing and Sentiment Analysis

(2016) Erik Cambria   IEEE INTELLIGENT SYSTEMS

A Review and Meta-Analysis of Multimodal Affect Detection Systems

(2015) Sidney K. D'mello et al.   ACM COMPUTING SURVEYS

Medical image fusion: A survey of the state of the art

(2014) Alex Pappachen James et al.   Information Fusion

A survey of multi-view machine learning

(2013) Shiliang Sun   NEURAL COMPUTING & APPLICATIONS

Multimodal fusion for multimedia analysis: a survey

(2010) Pradeep K. Atrey et al.   MULTIMEDIA SYSTEMS

Speaker identification on the SCOTUS corpus

(2008) Jiahong Yuan et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

IEMOCAP: interactive emotional dyadic motion capture database

(2008) Carlos Busso et al.   Language Resources and Evaluation