185 citations · 219 across the 20 of their papers we have counts for
22 papers
Embarrassingly Simple MixUp for Time-series
Karan Aggarwal, Jaideep Srivastava
Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled data settings. Data aug…
Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees
Wen-Bo Xie, Zhen Liu, Jaideep Srivastava
One of the main challenges for hierarchical clustering is how to appropriately identify the representative points in the lower level of the cluster tree, which are going to be util…
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Shalini Pandey, Jaideep Srivastava
Many machine learning models have been built to tackle information overload issues on Massive Open Online Courses (MOOC) platforms. These models rely on learning powerful represent…
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
Shalini Pandey, George Karypis, Jaideep Srivasatava
Recommending relevant items to users is a crucial task on online communities such as Reddit and Twitter. For recommendation system, representation learning presents a powerful tech…
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
Bhavtosh Rath, Xavier Morales, Jaideep Srivastava
False information and true information fact checking it, often co-exist in social networks, each competing to influence people in their spread paths. An efficient strategy here to…
Assessing Individual and Community Vulnerability to Fake News in Social Networks
Bhavtosh Rath, Wei Gao, Jaideep Srivastava
The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false i…
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
Shalini Pandey, George Karypis, Jaideep Srivastava
Knowledge tracing (KT) is the problem of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. It is an active resear…
Learning Student Interest Trajectory for MOOCThread Recommendation
Shalini Pandey, Andrew Lan, George Karypis +1
In recent years, Massive Open Online Courses (MOOCs) have witnessed immense growth in popularity. Now, due to the recent Covid19 pandemic situation, it is important to push the lim…
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not b…
RKT : Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey, Jaideep Srivastava
The world has transitioned into a new phase of online learning in response to the recent Covid19 pandemic. Now more than ever, it has become paramount to push the limits of online…
Using Clinical Notes with Time Series Data for ICU Management
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty +1
Monitoring patients in ICU is a challenging and high-cost task. Hence, predicting the condition of patients during their ICU stay can help provide better acute care and plan the ho…
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque +1
Sufficient physical activity and restful sleep play a major role in the prevention and cure of many chronic conditions. Being able to proactively screen and monitor such chronic co…
Impact of News Organizations' Trustworthiness and Social Media Activity on Audience Engagement
Bhavtosh Rath, Jisu Kim, Jisu Huh +1
News organizations are increasingly using social media to reach out to their audience aimed at raising their attention and engagement with news. Given the continuous decrease in su…
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty +2
Sleep plays a vital role in human health, both mental and physical. Sleep disorders like sleep apnea are increasing in prevalence, with the rapid increase in factors like obesity.…
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Karan Aggarwal, Shafiq Joty, Luis F. Luque +1
Physical activity and sleep play a major role in the prevention and management of many chronic conditions. It is not a trivial task to understand their impact on chronic conditions…
Leveraging web resources for keyword assignment to short text documents
Ayush Singhal, Ravindra Kasturi, Ankit Sharma +1
Assigning relevant keywords to documents is very important for efficient retrieval, clustering and management of the documents. Especially with the web corpus deluged with digital…
Predicting Small Group Accretion in Social Networks: A topology based incremental approach
Ankit Sharma, Xiaodong Feng, Kartik Singhal +2
Small Group evolution has been of central importance in social sciences and also in the industry for understanding dynamics of team formation. While most of research works studying…
Understanding Co-evolution in Large Multi-relational Social Networks
Ayush Singhal, Atanu Roy, Jaideep Srivastava
Understanding dynamics of evolution in large social networks is an important problem. In this paper, we characterize evolution in large multi-relational social networks. The prolif…
Predictive Overlapping Co-Clustering
Chandrima Sarkar, Jaideep Srivastava
In the past few years co-clustering has emerged as an important data mining tool for two way data analysis. Co-clustering is more advantageous over traditional one dimensional clus…
Predicting Multi-actor collaborations using Hypergraphs
Ankit Sharma, Jaideep Srivastava, Abhishek Chandra
Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc. Hy…
Dynamics of Trust Reciprocation in Heterogenous MMOG Networks
Ayush Singhal, Karthik Subbian, Jaideep Srivastava +2
Understanding the dynamics of reciprocation is of great interest in sociology and computational social science. The recent growth of Massively Multi-player Online Games (MMOGs) has…
Cliques in complex networks reveal link formation and community evolution
Zhen Liu, Jia-Lin He, Jaideep Srivastava
Missing link prediction in indirected and un-weighted network is an open and challenge problem which has been studied intensively in recent years. In this paper, we studied the rel…