In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

The study at hand aims at the development of a multimodal, ensemble-based system for
emotion recognition. Special attention is given to a problem often neglected: missing data in …

This chapter discusses the increasing importance of Multimodal Sentiment Analysis (MSA)
in social media data analysis. It introduces the challenge of Representation Learning and …

Many factors render multimodal affect recognition approaches appealing. First, humans
employ a multimodal approach in emotion recognition. It is only fitting that machines, which …

Recently, automatic emotion recognition has been established as a major research topic in
the area of human computer interaction (HCI). Since humans express emotions through …

The recognition of fine-grained emotions (ie, happiness, sad, etc.) has shown its importance
in a real-world implementation. The emotion recognition using physiological signals is a …

In this contribution to INTERSPEECH 2010 Paralinguistic Challenge we explore the
capabilities of decision level fusion and ensemble based techniques for classification tasks …

This chapter describes the development of a multimodal, ensemble‐based system for
emotion recognition covering the major steps in processing: emotion modeling, data …