| 2022 | ICASSP | Gradient-Weighted Class Activation Mapping for Spatio Temporal Graph Convolutional Network. | Pratyusha Das, Antonio Ortega |
| 2021 | ICASSP | Symmetric Sub-graph Spatio-Temporal Graph Convolution and its application in Complex Activity Recognition. | Pratyusha Das, Antonio Ortega |
| 2021 | ICIP | Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. | Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro |
| 2020 | MMSP | Graph-based skeleton data compression. | Pratyusha Das, Antonio Ortega |
| 2019 | ICASSP | Hand Graph Representations for Unsupervised Segmentation of Complex Activities. | Pratyusha Das, Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa |
| 2016 | FIE | Physiological sensing based stress analysis during assessment. | Aniruddha Sinha, Pratyusha Das, Rahul Gavas, Debatri Chatterjee, Sanjoy Kumar Saha |
| 2016 | SMC | Inactive-state recognition from EEG signals and its application in cognitive load computation. | Rahul Gavas, Rajat Das, Pratyusha Das, Debatri Chatterjee, Aniruddha Sinha |
| 2015 | IJCNN | Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification. | Pratyusha Das, Arup Kumar Sadhu, Amit Konar, Basabdatta Sen Bhattacharya, Atulya K. Nagar |
| 2015 | IJCNN | Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving. | Anuradha Saha, Amit Konar, Pratyusha Das, Basabdatta Sen Bhattacharya, Atulya K. Nagar |