| 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 | 187 | 2013 |
| Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Twenty-eighth AAAI conference on artificial intelligence, 2014 | 136 | 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 | 104 | 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 | 75 | 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 | 52 | 2014 |
| 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 | 43 | 2019 |
| 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 | 34 | 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 | 24 | 2019 |
| Relex: A model-agnostic relational model explainer Y Zhang, D Defazio, A Ramesh Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1042 …, 2021 | 23 | 2021 |
| Deep Latent Generative Models For Energy Disaggregation G Bejarano, D DeFazio, A Ramesh AAAI, 2019 | 20 | 2019 |
| Multi-relational influence models for online professional networks A Ramesh, M Rodriguez, L Getoor Proceedings of the International Conference on Web Intelligence, 291-298, 2017 | 16 | 2017 |
| 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 | 12 | 2020 |
| 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 | 12 | 2018 |
| Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields Y Zhang, A Ramesh International Joint Conference on Artificial Intelligence, 2019 | 9 | 2019 |
| Swap: Probabilistic graphical and deep learning models for water consumption prediction G Bejarano, A Kulkarni, R Raushan, A Seetharam, A Ramesh Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 8 | 2019 |
| Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models Y Zhang, A Ramesh IEEE International Conference on Data Science and Advanced Analytics, 2018 | 8 | 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 | 8 | 2018 |
| 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 | 8 | 2018 |
| 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 | 7 | 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 | 7 | 2018 |
Lise GetoorProfessor of Computer Science, University of California, Santa CruzZweryfikowany adres z ucsc.edu
