Mood-Emotion Interplay: A Computational Perspective. - Soujanya Narayana (ICMI, 2022)

To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. - Soujanya Narayana; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (ICMI Companion, 2022)

Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. - Ravikiran Parameshwara; Soujanya Narayana; Murugappan Murugappan; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (CoRR, 2022)

Affective Computational Advertising Based on Perceptual Metrics. - Soujanya Narayana; Shweta Jain 002; Harish Katti; Roland Goecke; Ramanathan Subramanian (CoRR, 2022)

A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference. - Soujanya Narayana; Ibrahim Radwan; Ravikiran Parameshwara; Iman Abbasnejad; Akshay Asthana; Ramanathan Subramanian; Roland Goecke (ACII, 2023)

Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention. - Soujanya Narayana; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (CoRR, 2023)

Mood as a Contextual Cue for Improved Emotion Inference. - Soujanya Narayana; Ibrahim Radwan; Ramanathan Subramanian; Roland Goecke (CoRR, 2024)