28 citations · 35 across the 5 of their papers we have counts for
5 papers
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
Bulat Khaertdinov, Stylianos Asteriadis
In recent years, self-supervised learning (SSL) frameworks have been extensively applied to sensor-based Human Activity Recognition (HAR) in order to learn deep representations wit…
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas
An important line of research attempts to explain CNN image classifier predictions and intermediate layer representations in terms of human-understandable concepts. Previous work s…
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition
Bulat Khaertdinov, Stylianos Asteriadis
Automated Human Activity Recognition has long been a problem of great interest in human-centered and ubiquitous computing. In the last years, a plethora of supervised learning algo…
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
Razvan Brinzea, Bulat Khaertdinov, Stylianos Asteriadis
Human Activity Recognition is a field of research where input data can take many forms. Each of the possible input modalities describes human behaviour in a different way, and each…
Being the center of attention: A Person-Context CNN framework for Personality Recognition
Dario Dotti, Mirela Popa, Stylianos Asteriadis
This paper proposes a novel study on personality recognition using video data from different scenarios. Our goal is to jointly model nonverbal behavioral cues with contextual infor…