Arti Ramesh

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Anand SeetharamSenior Data Scientist, Cognitive SpaceDirección de correo verificada de cognitivespace.com
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Dan GoldwasserPurdue UniversityDirección de correo verificada de purdue.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandDirección de correo verificada de umiacs.umd.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceDirección de correo verificada de vt.edu
Yue ZhangApplied Researcher, Microsoft Azure AIDirección de correo verificada de microsoft.com
Adita KulkarniSUNY BrockportDirección de correo verificada de brockport.edu
David DeFazioGraduate Student, Binghamton UniversityDirección de correo verificada de binghamton.edu
Gissella BejaranoMarist CollegeDirección de correo verificada de marist.edu
Antonio RochaProfessor of Computer Science, Fluminense Federal UniversityDirección de correo verificada de ic.uff.br
Necati A AyanSUNY BinghamtonDirección de correo verificada de binghamton.edu
Raushan RajSUNY BinghamtonDirección de correo verificada de binghamton.edu
James FouldsUniversity of Maryland, Baltimore CountyDirección de correo verificada de umbc.edu
Shachi H. KumarResearch Scientist, Intel LabsDirección de correo verificada de intel.com
Jennifer GolbeckUniversity of Maryland, College ParkDirección de correo verificada de umd.edu
Sabina TomkinsAssistant Professor of Information, University of MichiganDirección de correo verificada de umich.edu
Aditya MishraUniversity of MassachusettsDirección de correo verificada de cs.umass.edu
Mokanarangan ThayaparanUniversity of ManchesterDirección de correo verificada de manchester.ac.uk
Alexander PanchenkoAssociate Professor for NLP at Skoltech, AIRIDirección de correo verificada de skol.tech
Abhik JanaIIT BhubaneswarDirección de correo verificada de iitbbs.ac.in

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Arti Ramesh

Senior Manager, Nissan Advanced Technology Center

Dirección de correo verificada de nissan-usa.com - Página principal

Generative AI Machine Learning Probabilistic Modeling Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	206	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	159	2014
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	126	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	85	2015
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	79	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	77	2021
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	59	2014
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	41	2016
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	37	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	33	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	16	2020
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	15	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	15	2018
Adversarial model extraction on graph neural networks D DeFazio, A Ramesh arXiv preprint arXiv:1912.07721, 2019	14	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	14	2017
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	13	2018
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	13	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	11	2018
Learning fairness-aware relational structures Y Zhang, A Ramesh arXiv preprint arXiv:2002.09471, 2020	10	2020
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	10	2019

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