Arti Ramesh

ORCID

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 41

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Necati A. Ayan, Sushil Chaskar, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha
Poster: COVID-19 Case Prediction using Cellular Network Traffic. Networking (2021)
Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh
Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. CCNC (2021)
José Esparza, Gissella Bejarano, Arti Ramesh, Anand Seetharam
Understanding the Issues Surrounding COVID-19 Vaccine Roll Out via User Tweets. CSoNet (2021)
Raushan Raj, Arti Ramesh, Anand Seetharam, David DeFazio
SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields. Pervasive Mob. Comput. 71 (2021)
Necati A. Ayan, Nilson Luís Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antônio A. de A. Rocha
Poster: Understanding Human Mobility during COVID-19 using Cellular Network Traffic. Networking (2021)
Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha
Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service. ADHOCNETS/TRIDENTCOM (2021)
Necati A. Ayan, Sushil Chaskar, Anand Seetharam, Arti Ramesh, Antônio Augusto de Aragão Rocha
Mobility-aware COVID-19 Case Prediction using Cellular Network Logs. LCN (2021)
Necati A. Ayan, Arti Ramesh, Anand Seetharam, Antônio A. de A. Rocha
Hierarchical Models for Detecting Mobility Clusters during COVID-19. MobiWac (2021)
Yue Zhang, David DeFazio, Arti Ramesh
RelEx: A Model-Agnostic Relational Model Explainer. AIES (2021)
Necati A. Ayan, Nilson Luís Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antônio Augusto de Aragão Rocha
Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data. LCN (2021)
Shawn Bailey, Yue Zhang, Arti Ramesh, Jennifer Golbeck, Lise Getoor
A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Trans. Web 15 (1) (2021)
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
Understanding the Societal Disruption due to COVID-19 via User Tweets. SMARTCOMP (2021)
Yue Zhang, Arti Ramesh
Learning Fairness-Aware Relational Structures. ECAI (2020)
Necati A. Ayan, Nilson Luís Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antônio Augusto de Aragão Rocha
Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data. CoRR (2020)
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days. CoRR (2020)
Yue Zhang, Arti Ramesh
Learning Fairness-aware Relational Structures. CoRR (2020)
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic. ISPA/BDCloud/SocialCom/SustainCom (2020)
Adita Kulkarni, Anand Seetharam, Arti Ramesh, J. Dinal Herath
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Trans. Veh. Technol. 69 (1) (2020)
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic. CoRR (2020)
Yue Zhang, Arti Ramesh
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. CoRR (2020)
Yue Zhang, David DeFazio, Arti Ramesh
RelEx: A Model-Agnostic Relational Model Explainer. CoRR (2020)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13 (1) (2020)
Gissella Bejarano, Adita Kulkarni, Xianzhi Luo, Anand Seetharam, Arti Ramesh
DeepER: A Deep Learning based Emergency Resolution Time Prediction System. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Yue Zhang, Arti Ramesh
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. ECAI (2020)
J. Dinal Herath, Anand Seetharam, Arti Ramesh
A Deep Learning Model for Wireless Channel Quality Prediction. ICC (2019)
David DeFazio, Arti Ramesh
Adversarial Model Extraction on Graph Neural Networks. CoRR (2019)
Gissella Bejarano, Adita Kulkarni, Raushan Raushan, Anand Seetharam, Arti Ramesh
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. BuildSys@SenSys (2019)
Adita Kulkarni, Anand Seetharam, Arti Ramesh
DeepFit: deep learning based fitness center equipment use modeling and prediction. MobiQuitous (2019)
Yue Zhang, Arti Ramesh
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. IJCAI (2019)
Gissella Bejarano, David DeFazio, Arti Ramesh
Deep Latent Generative Models for Energy Disaggregation. AAAI (2019)
Arti Ramesh, Lise Getoor
Topic Evolution Models for Long-Running MOOCs. WISE (2) (2018)
Anand Seetharam, Arti Ramesh
On the goodput of flows in heterogeneous mobile networks. Comput. Networks 130 (2018)
Arpita Chakraborty, Yue Zhang, Arti Ramesh
Understanding Types of Cyberbullying in an Anonymous Messaging Application. WWW (Companion Volume) (2018)
Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, Mridula Shekhar, Arti Ramesh
GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids. SMARTCOMP (2018)
Gissella Bejarano, Mayank Jain, Arti Ramesh, Anand Seetharam, Aditya Mishra
Predictive Analytics for Smart Water Management in Developing Regions. SMARTCOMP (2018)
David DeFazio, Arti Ramesh, Anand Seetharam
NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields. MobiQuitous (2018)
Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor
A Structured Approach to Understanding Recovery and Relapse in AA. WWW (2018)
Yue Zhang, Arti Ramesh
Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. DSAA (2018)
Arti Ramesh, Mario Rodriguez, Lise Getoor
Multi-relational influence models for online professional networks. WI (2017)
Sabina Tomkins, Arti Ramesh, Lise Getoor
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. EDM (2016)
Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) (2015)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Learning Latent Engagement Patterns of Students in Online Courses. AAAI (2014)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL (2014)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S (2014)

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Publication Activity (10 Years)

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Arti Ramesh