Arti Ramesh

According to our database, Arti Ramesh authored at least 40 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA.

Shawn Bailey, Yue Zhang, Arti Ramesh, Jennifer Golbeck, Lise Getoor

ACM Trans. Web, 2021

SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields.

Raushan Raj, Arti Ramesh, Anand Seetharam, David DeFazio

Pervasive Mob. Comput., 2021

Understanding the Societal Disruption due to COVID-19 via User Tweets.

Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh

Proceedings of the IEEE International Conference on Smart Computing, 2021

Poster: Understanding Human Mobility during COVID-19 using Cellular Network Traffic.

Necati A. Ayan, Nilson Luís Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antônio A. de A. Rocha

Proceedings of the IFIP Networking Conference, 2021

Poster: COVID-19 Case Prediction using Cellular Network Traffic.

Necati A. Ayan, Sushil Chaskar, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha

Proceedings of the IFIP Networking Conference, 2021

Hierarchical Models for Detecting Mobility Clusters during COVID-19.

Necati A. Ayan, Arti Ramesh, Anand Seetharam, Antônio A. de A. Rocha

Proceedings of the MobiWac '21: Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access, Alicante, Spain, November 22, 2021

Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data.

Necati A. Ayan, Nilson Luís Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antônio Augusto de Aragão Rocha

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Mobility-aware COVID-19 Case Prediction using Cellular Network Logs.

Necati A. Ayan, Sushil Chaskar, Anand Seetharam, Arti Ramesh, Antônio Augusto de Aragão Rocha

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Understanding the Issues Surrounding COVID-19 Vaccine Roll Out via User Tweets.

José Esparza, Gissella Bejarano, Arti Ramesh, Anand Seetharam

Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields.

Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

RelEx: A Model-Agnostic Relational Model Explainer.

Yue Zhang, David DeFazio, Arti Ramesh

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service.

Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha

Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

2020

DeepChannel: Wireless Channel Quality Prediction Using Deep Learning.

Adita Kulkarni, Anand Seetharam, Arti Ramesh, Jerome Dinal Herath

IEEE Trans. Veh. Technol., 2020

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

IEEE Trans. Learn. Technol., 2020

Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days.

Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh

CoRR, 2020

DeepER: A Deep Learning based Emergency Resolution Time Prediction System.

Gissella Bejarano, Adita Kulkarni, Xianzhi Luo, Anand Seetharam, Arti Ramesh

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic.

Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Learning Fairness-Aware Relational Structures.

Yue Zhang, Arti Ramesh

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors.

Yue Zhang, Arti Ramesh

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Adversarial Model Extraction on Graph Neural Networks.

David DeFazio, Arti Ramesh

CoRR, 2019

SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction.

Gissella Bejarano, Adita Kulkarni, Raushan Raushan, Anand Seetharam, Arti Ramesh

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

DeepFit: deep learning based fitness center equipment use modeling and prediction.

Adita Kulkarni, Anand Seetharam, Arti Ramesh

Proceedings of the MobiQuitous 2019, 2019

Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields.

Yue Zhang, Arti Ramesh

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Deep Learning Model for Wireless Channel Quality Prediction.

Jerome Dinal Herath, Anand Seetharam, Arti Ramesh

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Deep Latent Generative Models for Energy Disaggregation.

Gissella Bejarano, David DeFazio, Arti Ramesh

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the goodput of flows in heterogeneous mobile networks.

Anand Seetharam, Arti Ramesh

Comput. Networks, 2018

A Structured Approach to Understanding Recovery and Relapse in AA.

Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Understanding Types of Cyberbullying in an Anonymous Messaging Application.

Arpita Chakraborty, Yue Zhang, Arti Ramesh

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Topic Evolution Models for Long-Running MOOCs.

Arti Ramesh, Lise Getoor

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids.

Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, Mridula Shekhar, Arti Ramesh

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Predictive Analytics for Smart Water Management in Developing Regions.

Gissella Bejarano, Mayank Jain, Arti Ramesh, Anand Seetharam, Aditya Mishra

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields.

David DeFazio, Arti Ramesh, Anand Seetharam

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models.

Yue Zhang, Arti Ramesh

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Multi-relational influence models for online professional networks.

Arti Ramesh, Mario Rodriguez, Lise Getoor

Proceedings of the International Conference on Web Intelligence, 2017

2016

A Probabilistic Approach to Modeling Socio-Behavioral Interactions.

Arti Ramesh

PhD thesis, 2016

Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study.

Sabina Tomkins, Arti Ramesh, Lise Getoor

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums.

Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Uncovering hidden engagement patterns for predicting learner performance in MOOCs.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Understanding MOOC Discussion Forums using Seeded LDA.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

Learning Latent Engagement Patterns of Students in Online Courses.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014