Insights into User Personality and Learning Styles through Cross Subject fNIRS Classification. - Danushka Bandara; Leanne M. Hirshfield; Senem Velipasalar (HCI (25), 2014)

fNIRS: A new modality for brain activity-based biometric authentication. - Abdul Serwadda; Vir V. Phoha; Sujit Poudel; Leanne M. Hirshfield; Danushka Bandara; Sarah E. Bratt; Mark R. Costa (BTAS, 2015)

Measuring Situational Awareness Aptitude Using Functional Near-Infrared Spectroscopy. - Leanne M. Hirshfield; Mark R. Costa; Danushka Bandara; Sarah Bratt (HCI (15), 2015)

A More Complete Picture of Emotion Using Electrocardiogram and Electrodermal Activity to Complement Cognitive Data. - Danushka Bandara; Stephen Wonchul Song; Leanne M. Hirshfield; Senem Velipasalar (HCI (13), 2016)

Building predictive models of emotion with functional near-infrared spectroscopy. - Danushka Bandara; Senem Velipasalar; Sarah Bratt; Leanne M. Hirshfield (Int. J. Hum. Comput. Stud., 2018)

User State Detection Using Facial Images with Mask Cover. - Danushka Bandara (HCI (38), 2021)

Multi-class Task Classification Using Functional Near-Infrared Spectroscopy. - Danushka Bandara (HCI (9), 2022)

Are Scrutiny and Mistrust Related? An Eye-Tracking Study. - Danushka Bandara; Sambhab Sau (HCI (43), 2023)

How Do AI Explanations Affect Human-AI Trust? - Lam Bui; Marco Pezzola; Danushka Bandara (HCI (40), 2023)

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. - Chunpeng Zhou; Haishuai Wang; Sheng Zhou 004; Zhi Yu; Danushka Bandara; Jiajun Bu (Neural Networks, 2023)

Enhancing Few-Shot Action Recognition Using Skeleton Temporal Alignment and Adversarial Training. - Qingyang Xu; Jianjun Yang; Hongyi Zhang; Xin Jie; Danushka Bandara (IEEE Access, 2024)