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20162026
most citedPredicting Performance on MOOC Assessments using Multi-Regression Models

51 citations · 220 across the 70 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.LG2019★ 14 cited

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction

Songgaojun Deng, Shusen Wang, Huzefa Rangwala +2

Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease…

cs.LG2019★ 4 cited

Academic Performance Estimation with Attention-based Graph Convolutional Networks

Qian Hu, Huzefa Rangwala

Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advisin…

cs.CL2019★ 2 cited

Low Rank Factorization for Compact Multi-Head Self-Attention

Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

Effective representation learning from text has been an active area of research in the fields of NLP and text mining. Attention mechanisms have been at the forefront in order to le…

cs.DC2019★ 18 cited

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

Yujing Chen, Yue Ning, Martin Slawski +1

Federated learning (FL) is a machine learning paradigm where a shared central model is learned across distributed edge devices while the training data remains on these devices. Fed…

cs.LG2019

Sign Language Recognition Analysis using Multimodal Data

Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak +2

Voice-controlled personal and home assistants (such as the Amazon Echo and Apple Siri) are becoming increasingly popular for a variety of applications. However, the benefits of the…

cs.LG2019★ 3 cited

Federated Multi-task Hierarchical Attention Model for Sensor Analytics

Yujing Chen, Yue Ning, Zheng Chai +1

Sensors are an integral part of modern Internet of Things (IoT) applications. There is a critical need for the analysis of heterogeneous multivariate temporal data obtained from th…

cs.LG2019★ 3 cited

Multi-Differential Fairness Auditor for Black Box Classifiers

Xavier Gitiaux, Huzefa Rangwala

Machine learning algorithms are increasingly involved in sensitive decision-making process with adversarial implications on individuals. This paper presents mdfa, an approach that…

cs.AI2019★ 4 cited

Reliable Deep Grade Prediction with Uncertainty Estimation

Qian Hu, Huzefa Rangwala

Currently, college-going students are taking longer to graduate than their parental generations. Further, in the United States, the six-year graduation rate has been 59% for decade…