Our paper ‘Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition’ won the 2nd runner-up award, at the prestigious, 2021 International Joint Conference on Biometrics (IJCB 2021), which combines two major biometrics conferences, the IEEE Biometrics Theory, Applications, and Systems (BTAS) conference and the International Conference on Biometrics (ICB).
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Our papers title “Audio-based Emotion Recognition Enhancement through Progressive GAN” and “Multimodal Attention-Mechanism for Temporal Emotion Recognition” have been accepted for publication in the 27th IEEE International Conference on Image Processing (ICIP 2020).
Our article entitled “e-3 learning: a Dataset for Affect-driven Adaptation of Computer-Based Learning“ DOI (identifier) 10.1109/MMUL.2019.2945716″ was accepted in IEEE Multimedia Magazine.
Our paper titled “Audio-visual Domain Adaptation using conditional semi-supervised Generative Adversarial Networks” has been accepted in Elsevier Neurocomputing, 2019, Elsevier.
Our paper titled “Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition” has been selected for oral presentation at the 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019). ACII 2019 will take place in Cambridge, the United Kingdom between 3rd-6th September 2019.
Two papers were accepted for presentation at the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019) which will take place in Bruges, Belgium from 24 to 26 April 2019. Here are the authors and titles:
Within the frame of the H2020 ICT4Life EU project, D. Dotti, M. Popa and S. Asteriadis will be presenting their work on Behavior and Personality Analysis in a nonsocial context Dataset, next June, at the IEEE Computer Vision and Pattern Recognition Workshop on Understanding Subjective Attributes of Data
Our paper titled “Social Emotion Mining Techniques for Facebook Posts Reaction Prediction” is accepted for publication at the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018) as a full paper.
This paper was authored by four of our Master in Artificial Intelligence students and their supervisor (Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis) as part of a semester research project and explored how deep learning techniques (CNN and RNN) can be used to set up a prediction module for reaction predictions on Facebook posts.
Our joint work with the Faculty of Health, Medicine and Life Sciences (FHML) ‘A risk score of BMI, HbA1c and triglycerides predicts future glycemic control in type 2 diabetes’ has been accepted for publication at the Diabetes, Obesity and Metabolism Journal.
A description of the platform employed in ICT4Life has been published as a book chapter; it is a joint work of the ICT4Life consortium, in which, RAI, plays a leading role in AAL activities and machine intelligence applications.
For more details:
ICT4Life project link: http://www.ict4life.eu/