Arti Ramesh
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models
Y Zhang, A Ramesh
IEEE International Conference on Data Science and Advanced Analytics, 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
Deep Latent Generative Models For Energy Disaggregation
G Bejarano, D DeFazio, A Ramesh
AAAI, 2019
Topic evolution models for long-running MOOCs
A Ramesh, L Getoor
International Conference on Web Information Systems Engineering, 410-421, 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
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
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
Y Zhang, A Ramesh
International Joint Conference on Artificial Intelligence, 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
Relex: A model-agnostic relational model explainer
Y Zhang, D Defazio, A Ramesh
arXiv preprint arXiv:2006.00305, 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
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
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