2 papers
cs.LG2026
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…
cs.CL2026
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…