Arti Ramesh
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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
Twenty-eighth AAAI conference on artificial intelligence, 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
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
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
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
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
Deep Latent Generative Models For Energy Disaggregation
G Bejarano, D DeFazio, A Ramesh
AAAI, 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
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
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
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
Y Zhang, A Ramesh
International Joint Conference on Artificial Intelligence, 2019
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
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
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
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
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
Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models
Y Zhang, A Ramesh
IEEE International Conference on Data Science and Advanced Analytics, 2018
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