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Arti Ramesh
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- affiliation: Binghamton University, NY, USA
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2020 – today
- 2024
- [c33]Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar, Chee Wee Leong:
Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence. EDM 2024 - 2021
- [j5]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: 101317 (2021) - [j4]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): 5:1-5:35 (2021) - [c32]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: 161-172 - [c31]Yue Zhang, David DeFazio, Arti Ramesh:
RelEx: A Model-Agnostic Relational Model Explainer. AIES 2021: 1042-1049 - [c30]Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh:
Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. CCNC 2021: 1-6 - [c29]José Esparza, Gissella Bejarano, Arti Ramesh, Anand Seetharam:
Understanding the Issues Surrounding COVID-19 Vaccine Roll Out via User Tweets. CSoNet 2021: 197-205 - [c28]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: 471-478 - [c27]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: 479-486 - [c26]Necati A. Ayan, Arti Ramesh, Anand Seetharam, Antônio A. de A. Rocha:
Hierarchical Models for Detecting Mobility Clusters during COVID-19. MobiWac 2021: 43-51 - [c25]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: 1-3 - [c24]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: 1-3 - [c23]Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh:
Understanding the Societal Disruption due to COVID-19 via User Tweets. SMARTCOMP 2021: 137-144 - 2020
- [j3]Arti Ramesh
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13(1): 107-122 (2020) - [j2]Adita Kulkarni
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Trans. Veh. Technol. 69(1): 443-456 (2020) - [c22]Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. ECAI 2020: 1698-1705 - [c21]Yue Zhang, Arti Ramesh:
Learning Fairness-Aware Relational Structures. ECAI 2020: 2543-2550 - [c20]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: 852-859 - [c19]Gissella Bejarano
DeepER: A Deep Learning based Emergency Resolution Time Prediction System. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 490-497 - [i7]Yue Zhang, Arti Ramesh:
Learning Fairness-aware Relational Structures. CoRR abs/2002.09471 (2020) - [i6]Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. CoRR abs/2002.09523 (2020) - [i5]Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh:
Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days. CoRR abs/2004.05451 (2020) - [i4]Yue Zhang, David DeFazio, Arti Ramesh:
RelEx: A Model-Agnostic Relational Model Explainer. CoRR abs/2006.00305 (2020) - [i3]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 abs/2010.14558 (2020) - [i2]Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh:
Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic. CoRR abs/2010.15674 (2020)
2010 – 2019
- 2019
- [c18]Gissella Bejarano
Deep Latent Generative Models for Energy Disaggregation. AAAI 2019: 850-857 - [c17]Jerome Dinal Herath, Anand Seetharam, Arti Ramesh:
A Deep Learning Model for Wireless Channel Quality Prediction. ICC 2019: 1-6 - [c16]Yue Zhang, Arti Ramesh:
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. IJCAI 2019: 6050-6056 - [c15]Adita Kulkarni, Anand Seetharam, Arti Ramesh:
DeepFit: deep learning based fitness center equipment use modeling and prediction. MobiQuitous 2019: 394-403 - [c14]Gissella Bejarano
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. BuildSys@SenSys 2019: 233-242 - [i1]David DeFazio, Arti Ramesh:
Adversarial Model Extraction on Graph Neural Networks. CoRR abs/1912.07721 (2019) - 2018
- [j1]Anand Seetharam, Arti Ramesh:
On the goodput of flows in heterogeneous mobile networks. Comput. Networks 130: 134-144 (2018) - [c13]Yue Zhang, Arti Ramesh:
Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. DSAA 2018: 504-513 - [c12]David DeFazio, Arti Ramesh, Anand Seetharam:
NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields. MobiQuitous 2018: 187-196 - [c11]Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, Mridula Shekhar, Arti Ramesh:
GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids. SMARTCOMP 2018: 123-130 - [c10]Gissella Bejarano
Predictive Analytics for Smart Water Management in Developing Regions. SMARTCOMP 2018: 464-469 - [c9]Arti Ramesh, Lise Getoor:
Topic Evolution Models for Long-Running MOOCs. WISE (2) 2018: 410-421 - [c8]Arpita Chakraborty, Yue Zhang, Arti Ramesh:
Understanding Types of Cyberbullying in an Anonymous Messaging Application. WWW (Companion Volume) 2018: 1001-1005 - [c7]Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar
A Structured Approach to Understanding Recovery and Relapse in AA. WWW 2018: 1205-1214 - 2017
- [c6]Arti Ramesh, Mario Rodriguez, Lise Getoor:
Multi-relational influence models for online professional networks. WI 2017: 291-298 - 2016
- [b1]Arti Ramesh:
A Probabilistic Approach to Modeling Socio-Behavioral Interactions. University of Maryland, College Park, MD, USA, 2016 - [c5]Sabina Tomkins, Arti Ramesh, Lise Getoor:
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. EDM 2016: 239-246 - 2015
- [c4]Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor:
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) 2015: 74-83 - 2014
- [c3]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Learning Latent Engagement Patterns of Students in Online Courses. AAAI 2014: 1272-1278 - [c2]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL 2014: 28-33 - [c1]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S 2014: 157-158
Coauthor Index
aka: Antônio A. de A. Rocha
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