Követés
Arti Ramesh
Arti Ramesh
Senior Manager, Nissan Advanced Technology Center
E-mail megerősítve itt: nissan-usa.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2182013
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
1692014
Understanding MOOC Discussion Forums using Seeded LDA
A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor
ACL Workshop on Innovative Use of NLP for Building Educational Applications, 2014
1312014
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
1212021
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
962019
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
872015
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
592014
Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study
S Tomkins, A Ramesh, L Getoor
9th International Conference on Educational Data Mining, 2016
452016
Deep latent generative models for energy disaggregation
G Bejarano, D DeFazio, A Ramesh
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 850-857, 2019
442019
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
362019
Adversarial model extraction on graph neural networks
D DeFazio, A Ramesh
arXiv preprint arXiv:1912.07721, 2019
232019
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
182020
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
182018
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
182018
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
152019
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
142018
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
142017
Fine-grained analysis of cyberbullying using weakly-supervised topic models
Y Zhang, A Ramesh
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
132018
Learning fairness-aware relational structures
Y Zhang, A Ramesh
ECAI 2020, 2543-2550, 2020
112020
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
112018
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