Publications
My articles can be found on DBLP and Google Scholar.
- Dmitry Ustalov, Yanjun Gao, Alexander Panchenko, Marco Valentino, Mokanarangan Thayaparan, Thien Huu Nguyen, Gerald Penn, Arti Ramesh, Abhik Jana, “Proceedings of Text-Graphs-16: Graph-based Methods for Natural Language Processing”, International Conference on Computational Linguistics (COLING), 2022
- Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh, Antonio A de A. Rocha, “Analyzing Aggregate Behavior on a Large Multi-Platform Content Disribution Service”, International Conference on Ad Hoc Networks, 2021
- Yue Zhang, David Defazio, and Arti Ramesh, “RelEx: A Model-Agnostic Relational Model Explainer”, AAAI Conference on AI, Ethics, and Society (AIES), 2021
- Raushan Raj, Arti Ramesh, Anand Seetharam, and David Defazio, “SWIFT: A Non-Emergency Response Prediction System using Sparse Gaussian Conditional Random Fields”, Pervasive and Mobile Computing Journal, 2021
- Necati A. Ayan, Nilson L. Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, and Antonio A. de A. Rocha, “Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data”, IEEE Conference on Local Computer Networks, 2021
- Raushan Raj, Adita Kulkarni, Anand Seetharam, and Arti Ramesh, “Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields”, IEEE Consumer Communications & Networking Conference (CCNC), 2021
- Shawn Bailey, Yue Zhang, Arti Ramesh, Jennifer Golbeck, and Lise Getoor, “A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA”, ACM Transactions on the Web (TWEB), 2021
- Swaroop Gowdra Shanthakumar, Anand Seetharam, and Arti Ramesh, “Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic”, IEEE International Symposium on Social Computing and Networking (SocialCom), 2020
- Gissella Bejarano, Adita Kulkarni, Xianzhi Luo, Anand Seetharam, and Arti Ramesh, “DeepER: A Deep Learning based Emergency Resolution Time Prediction System”, IEEE International Conference on Cyber, Physical, and Social Computing, 2020
- Raushan Raj, Anand Seetharam, and Arti Ramesh, “Ensemble Regression Models for Short-term Prediction of Confirmed COVID-19 Cases”, AI for Social Good Workshop, 2020
- Swaroop Gowdra Shanthakumar, Anand Seetharam, and Arti Ramesh, “Understanding the Socio-Economic Disruption in the United States during COVID-19’s Early Days”, AI for Social Good Workshop, 2020
- Yue Zhang and Arti Ramesh, “Learning Fairness-aware Relational Structures”, European Conference on Artificial Intelligence (ECAI), 2020
- Yue Zhang and Arti Ramesh, “Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors”, European Conference on Artificial Intelligence (ECAI), 2020
- David DeFazio and Arti Ramesh, “Adversarial Model Extraction of Graph Neural Networks”, AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA), 2020
- Adita Kulkarni, Anand Seetharam, Arti Ramesh, Dinal Herath, “DeepChannel – Wireless Channel Quality Prediction using Deep Learning“, IEEE Transactions on Vehicular Technology, 2020
- Adita Kulkarni, Anand Seetharam, and Arti Ramesh, “DeepFit – Deep Learning based Fitness Center Equipment Use Modeling and Prediction”, Mobiquitous, 2019
- Gissella Bejarano, Adita Kulkarni, Raushan Raushan, Anand Seetharam, and Arti Ramesh, “SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction”, BuildSys, 2019
- Yue Zhang and Arti Ramesh, “Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields”, International Joint Conference on Artificial Intelligence (IJCAI), 2019
- J. Dinal Herath, Anand Seetharam, and Arti Ramesh, “A Deep Learning Model for Wireless Channel Quality Prediction”, IEEE International Conference on Communications (ICC), 2019
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, “Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields”, IEEE Transactions on Learning Technologies (TLT), 2019
- Gissella Bejarano, David Defazio, and Arti Ramesh, “Deep Latent Generative Models for Energy Disaggregation”, AAAI Conference on Artificial Intelligence, 2019
- David Defazio, Arti Ramesh, and Anand Seetharam, “NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields”, International Conference on Mobile and Ubiquitous Systems (Mobiquitous), 2018
- Yue Zhang and Arti Ramesh, “Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models”, Data Science and Advanced Analytics (DSAA), 2018
- Arti Ramesh and Lise Getoor, “Topic Evolution Models for Long-running MOOCs”, Web Information Science and Engineering (WISE), 2018
- Gissella Bejarano, Mayank Jain, Arti Ramesh, Anand Seetharam, and Aditya Mishra, “Predictive Analytics for Smart Water Management in Developing Regions”, SMARTCOMP, Smart Industries Workshop, 2018
- Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam and Arti Ramesh, Anand Seetharam, and Aditya Mishra, “GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids”, SMARTCOMP, 2018
- Arpita Chakraborty, Yue Zhang, and Arti Ramesh, “Understanding Types of Cyberbullying in an Anonymous Messaging Application”, WWW Workshop on Cybersafety, 2018
- Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, and Lise Getoor, “A Structured Approach to Understanding Recovery and Relapse in AA”, The Web Conference (WWW), 2018
- Anand Seetharam and Arti Ramesh, “On the Goodput of Flows in Heterogeneous Mobile Networks”, Elsevier Computer Networks Journal, 2018
- Arti Ramesh, Mario Rodriguez, and Lise Getoor, “Multi-relational Influence Models for Online Professional Networks”, Web Intelligence (WI), 2018
- Sabina Tomkins, Arti Ramesh, and Lise Getoor, “Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study”, Educational Data Mining (EDM), 2016
- Arti Ramesh, Mario Rodriguez, and Lise Getoor, “Understanding Influence in Online Professional Networks”, NIPS Workshop on Networks, 2015
- Arti Ramesh, Shachi H. Kumar, James Foulds, and Lise Getoor, “Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums”, Annual meeting of Association of Computational Linguistics (ACL), 2015
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, Lise Getoor, “Understanding Student Engagement using Latent Variable Methods”, Learning with MOOCs: A Practitioner’s Workshop
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, “Learning Latent Engagement Patterns of Students in Online Courses”, AAAI Conference on Artificial Intelligence (AAAI), 2014
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, “Understanding MOOC Discussion Forums using Seeded LDA”, ACL Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2014
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, “Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs”, ACM Conference on Learning at Scale (L@S’14), 2014
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, “Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic”, NIPS Workshop on Data Driven Education (NIPS), 2013
- Arti Ramesh, Jaebong Yoo, Lise Getoor and Jihie Kim, “User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic”, NIPS Workshop on Personalizing Education with Machine Learning (NIPS), 2013
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.