| The block point process model for continuous-time event-based dynamic networks R Junuthula, M Haghdan, KS Xu, V Devabhaktuni The world wide web conference, 829-839, 2019 | 36 | 2019 |
| Evaluating link prediction accuracy in dynamic networks with added and removed edges RR Junuthula, KS Xu, VK Devabhaktuni 2016 IEEE international conferences on big data and cloud computing (BDCloud …, 2016 | 34 | 2016 |
| Leveraging friendship networks for dynamic link prediction in social interaction networks R Junuthula, K Xu, V Devabhaktuni Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018 | 13 | 2018 |
| Evaluating link prediction accuracy in dynamic networks with added and removed edges. In 2016 IEEE international conferences on big data and cloud computing (BDCloud), social … RR Junuthula, KS Xu, VK Devabhaktuni IEEE, 2016 | 9 | 2016 |
| ANN‐based modeling of compact impedance‐varying transmission lines with applications to ultra‐wideband W ilkinson power dividers KA Alshamaileh, MJ Almalkawi, RR Junuthula, VK Devabhaktuni, ... International Journal of RF and Microwave Computer‐Aided Engineering 25 (7 …, 2015 | 4 | 2015 |
| Autonomous ground vehicle error prediction modeling to facilitate human-machine cooperation P Damacharla, RR Junuthula, AY Javaid, VK Devabhaktuni Advances in Human Factors in Robots and Unmanned Systems: Proceedings of the …, 2019 | 2 | 2019 |
| Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis RR Junuthula The University of Toledo, 2018 | | 2018 |
| COVID-19 Spread Prediction: A Comparative Study P Damacharla, RR Junuthula, C Elkin, S Kumar Engineering Archive, 0 | | |
