5 papers
Resource-Constrained Affect Modelling via Variance Regularisation Pruning
Kosmas Pinitas, Konstantinos Katsifis
Affective computing systems are increasingly embedded in pervasive and interactive environments, such as adaptive games, assistive technologies, and resource-constrained platforms,…
Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
Kosmas Pinitas, Ilias Maglogiannis
Emotion annotation is inherently subjective and cognitively demanding, producing signals that reflect diverse perceptions across annotators rather than a single ground truth. In co…
LaScA: Language-Conditioned Scalable Modelling of Affective Dynamics
Kosmas Pinitas, Ilias Maglogiannis
Predicting affect in unconstrained environments remains a fundamental challenge in human-centered AI. While deep neural embeddings dominate contemporary approaches, they often lack…
Privileged Contrastive Pretraining for Multimodal Affect Modelling
Kosmas Pinitas, Konstantinos Makantasis, Georgios N. Yannakakis
Affective Computing (AC) has made significant progress with the advent of deep learning, yet a persistent challenge remains: the reliable transfer of affective models from controll…
GameVibe: A Multimodal Affective Game Corpus
Matthew Barthet, Maria Kaselimi, Kosmas Pinitas +3
As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, th…