| Modeling learner engagement in MOOCs using probabilistic soft logic A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor NIPS workshop on data driven education 21, 62, 2013 | 151 | 2013 |
| Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 114 | 2014 |
| Understanding MOOC discussion forums using seeded LDA A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor Proceedings of the ninth workshop on innovative use of NLP for building …, 2014 | 84 | 2014 |
| Weakly supervised models of aspect-sentiment for online course discussion forums A Ramesh, SH Kumar, J Foulds, L Getoor Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 60 | 2015 |
| Uncovering hidden engagement patterns for predicting learner performance in MOOCs A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Proceedings of the first ACM conference on Learning@ scale conference, 157-158, 2014 | 45 | 2014 |
| Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study. S Tomkins, A Ramesh, L Getoor International Educational Data Mining Society, 2016 | 25 | 2016 |
| A deep learning model for wireless channel quality prediction JD Herath, A Seetharam, A Ramesh ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 8 | 2019 |
| Deepchannel: Wireless channel quality prediction using deep learning A Kulkarni, A Seetharam, A Ramesh, JD Herath IEEE Transactions on Vehicular Technology 69 (1), 443-456, 2019 | 7 | 2019 |
| Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days SG Shanthakumar, A Seetharam, A Ramesh arXiv preprint arXiv:2004.05451, 2020 | 6 | 2020 |
| Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models Y Zhang, A Ramesh IEEE International Conference on Data Science and Advanced Analytics, 2018 | 5 | 2018 |
| A structured approach to understanding recovery and relapse in AA Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor Proceedings of the 2018 World Wide Web Conference, 1205-1214, 2018 | 5 | 2018 |
| Deep Latent Generative Models For Energy Disaggregation G Bejarano, D DeFazio, A Ramesh AAAI, 2019 | 4 | 2019 |
| Topic evolution models for long-running MOOCs A Ramesh, L Getoor International Conference on Web Information Systems Engineering, 410-421, 2018 | 4 | 2018 |
| Nycer: A non-emergency response predictor for nyc using sparse gaussian conditional random fields D DeFazio, A Ramesh, A Seetharam Proceedings of the 15th EAI International Conference on Mobile and …, 2018 | 4 | 2018 |
| Predictive analytics for smart water management in developing regions G Bejarano, M Jain, A Ramesh, A Seetharam, A Mishra 2018 IEEE International Conference on Smart Computing (SMARTCOMP), 464-469, 2018 | 4 | 2018 |
| Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields Y Zhang, A Ramesh International Joint Conference on Artificial Intelligence, 2019 | 3 | 2019 |
| Understanding types of cyberbullying in an anonymous messaging application A Chakraborty, Y Zhang, A Ramesh Companion Proceedings of the The Web Conference 2018, 1001-1005, 2018 | 3 | 2018 |
| Relex: A model-agnostic relational model explainer Y Zhang, D Defazio, A Ramesh arXiv preprint arXiv:2006.00305, 2020 | 2 | 2020 |
| Deepfit: Deep learning based fitness center equipment use modeling and prediction A Kulkarni, A Seetharam, A Ramesh Proceedings of the 16th EAI International Conference on Mobile and …, 2019 | 2 | 2019 |
| Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields A Ramesh, D Goldwasser, B Huang, H Daume, L Getoor IEEE Transactions on Learning Technologies 13 (1), 107-122, 2018 | 2 | 2018 |
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
