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ORCIDJaideep Srivastava
Person information
- affiliation: Qatar Foundation, Doha, Qatar
- affiliation: University of Minnesota, Minneapolis, MN, USA
- affiliation (PhD 1988): University of California Berkeley, CA, USA
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2020 – today
- 2023
[j77]Wen-Bo Xie
, Zhen Liu, Debarati Das, Bin Chen, Jaideep Srivastava:
Scalable clustering by aggregating representatives in hierarchical groups. Pattern Recognit. 136: 109230 (2023)- [i33]Karan Aggarwal, Jaideep Srivastava:
Embarrassingly Simple MixUp for Time-series. CoRR abs/2304.04271 (2023) - [i32]Karan Aggarwal, Jaideep Srivastava:
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning. CoRR abs/2304.04275 (2023) - [i31]Euna Mehnaz Khan, Ayush Ram, Bhavtosh Rath, Emily Vraga, Jaideep Srivastava:
Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning. CoRR abs/2305.00957 (2023) - 2022
- [j76]Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava:
Fake news spreader detection using trust-based strategies in social networks with bot filtration. Soc. Netw. Anal. Min. 12(1): 66 (2022) - [c202]Debarati Das, Roopana Chenchu, Maral Abdollahi, Jisu Huh, Jaideep Srivastava:
AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements. W-NUT@COLING 2022: 171-179 - [c201]Jiacheng Liu, Meghna Singh, Lisa Kirkland, Jaideep Srivastava:
Reduce the Cold Start of COVID-19 In-hospital Mortality Prediction Models via Transfer Learning. ICHI 2022: 201-210 - [c200]Meghna Singh, Jiacheng Liu, Lisa Kirkland, Jaideep Srivastava:
Decompensation Prediction for Hospitalized COVID-19 Patients. ICHI 2022: 502-504 - 2021
- [j75]Abdelkader Baggag, Sofiane Abbar, Ankit Sharma, Tahar Zanouda, Abdulaziz Al-Homaid, Abhiraj Mohan, Jaideep Srivastava:
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting. IEEE Trans. Knowl. Data Eng. 33(6): 2573-2587 (2021) - [j74]Himanshu Kharkwal, Dakota Olson, Jiali Huang, Abhiraj Mohan, Ankur Mani, Jaideep Srivastava:
University Operations During a Pandemic: A Flexible Decision Analysis Toolkit. ACM Trans. Manag. Inf. Syst. 12(4): 35:1-35:24 (2021) - [c199]Matheus Araújo, Tara Pereira, Jaideep Srivastava, Conrad Iber:
Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks. CBMS 2021: 97-100 - [c198]Mourya Karan Reddy Baddam, Matheus Araújo, Jaideep Srivastava:
Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management. CBMS 2021: 580-585 - [c197]Matheus Araújo, Paula van Dommelen, Jaideep Srivastava, Ekaterina Koledova:
A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems. EFMI-STC 2021: 23-27 - [c196]Matheus Araújo, Paula van Dommelen, Ekaterina Koledova, Jaideep Srivastava:
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy. MIE 2021: 133-137 - [c195]Shalini Pandey, George Karypis, Jaideep Srivastava:
IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. PAKDD (2) 2021: 561-574 - [c194]Bhavtosh Rath, Xavier Morales, Jaideep Srivastava:
SCARLET: Explainable Attention Based Graph Neural Network for Fake News Spreader Prediction. PAKDD (1) 2021: 714-727 - [e15]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e14]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e13]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i30]Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava:
Learning Student Interest Trajectory for MOOCThread Recommendation. CoRR abs/2101.05625 (2021) - [i29]Shalini Pandey, George Karypis, Jaideep Srivastava:
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset. CoRR abs/2101.06373 (2021) - [i28]Jiacheng Liu, Meghna Singh, Catherine ST. Hill, Vino Raj, Lisa Kirkland, Jaideep Srivastava:
Continual Deterioration Prediction for Hospitalized COVID-19 Patients. CoRR abs/2101.07581 (2021) - [i27]Bhavtosh Rath, Wei Gao, Jaideep Srivastava:
Assessing Individual and Community Vulnerability to Fake News in Social Networks. CoRR abs/2102.02434 (2021) - [i26]Bhavtosh Rath, Xavier Morales, Jaideep Srivastava:
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction. CoRR abs/2102.04627 (2021) - [i25]Shalini Pandey, George Karypis, Jaideep Srivastava:
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation. CoRR abs/2103.02866 (2021) - [i24]Shalini Pandey, Jaideep Srivastava:
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities. CoRR abs/2107.05154 (2021) - [i23]Meghna Singh, Saksham Goel, Abhiraj Mohan, Louis Kazaglis, Jaideep Srivastava:
PARIS: Personalized Activity Recommendation for Improving Sleep Quality. CoRR abs/2110.13745 (2021) - [i22]Wen-Bo Xie, Zhen Liu, Jaideep Srivastava:
Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees. CoRR abs/2111.06968 (2021) - 2020
- [c193]Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava:
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning. ASONAM 2020: 182-189 - [c192]Shalini Pandey, Jaideep Srivastava:
RKT: Relation-Aware Self-Attention for Knowledge Tracing. CIKM 2020: 1205-1214 - [c191]Bhavtosh Rath, Jaideep Srivastava:
Epidemiology Inspired Framework for Fake News Mitigationin Social Networks. CIKM (Workshops) 2020 - [c190]Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava:
Learning Student Interest Trajectory for MOOC Thread Recommendation. ICDM (Workshops) 2020: 400-407 - [i21]Shalini Pandey, Jaideep Srivastava:
RKT : Relation-Aware Self-Attention for Knowledge Tracing. CoRR abs/2008.12736 (2020) - [i20]Himanshu Kharkwal, Dakota Olson, Jiali Huang, Abhiraj Mohan, Ankur Mani, Jaideep Srivastava:
University Operations During a Pandemic: A Flexible Decision Analysis Toolkit. CoRR abs/2010.10112 (2020) - [i19]Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava:
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning. CoRR abs/2011.10817 (2020)
2010 – 2019
- 2019
- [c189]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. AAAI 2019: 834-841 - [c188]Bhavtosh Rath, Wei Gao, Jaideep Srivastava:
Evaluating vulnerability to fake news in social networks: a community health assessment model. ASONAM 2019: 432-435 - [c187]Zoheb Borbora, Arpita Chandra, Ponnurangam Kumaraguru, Jaideep Srivastava:
On churn and social contagion. ASONAM 2019: 833-841 - [c186]Arpita Chandra, Zoheb Borbora, Ponnurangam Kumaraguru, Jaideep Srivastava:
Finding your social space: empirical study of social exploration in multiplayer online games. ASONAM 2019: 1072-1080 - [c185]Matheus Araújo, Louis Kazaglis, Conrad Iber, Jaideep Srivastava:
A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management. IEEE BigData 2019: 2716-2725 - [c184]Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava:
Using Clinical Notes with Time Series Data for ICU Management. EMNLP/IJCNLP (1) 2019: 6431-6436 - [i18]Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava:
Using Clinical Notes with Time Series Data for ICU Management. CoRR abs/1909.09702 (2019) - 2018
- [j73]Abdelkader Baggag, Sofiane Abbar, Tahar Zanouda, Jaideep Srivastava:
Resilience analytics: coverage and robustness in multi-modal transportation networks. EPJ Data Sci. 7(1): 14 (2018) - [j72]Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava:
Utilizing computational trust to identify rumor spreaders on Twitter. Soc. Netw. Anal. Min. 8(1): 64:1-64:16 (2018) - [c183]Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava:
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging. IEEE BigData 2018: 1318-1327 - [c182]Matheus Araújo, Rahul Bhojwani, Jaideep Srivastava, Louis Kazaglis, Conrad Iber:
ML Approach for Early Detection of Sleep Apnea Treatment Abandonment: A Case Study. DH 2018: 75-79 - [e12]Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu:
Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings. Lecture Notes in Computer Science 11297, Springer 2018, ISBN 978-3-030-04779-5 [contents] - [r4]Karan Aggarwal, Komal Kapoor, Jaideep Srivastava:
Data Mining Techniques for Social Networks Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r3]Prasanna Kumar Desikan, Aarti Sathyanarayana, Jaideep Srivastava:
Online Healthcare Management. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i17]Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava:
Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. CoRR abs/1807.09119 (2018) - [i16]Bhavtosh Rath, Jisu Kim, Jisu Huh, Jaideep Srivastava:
Impact of News Organizations' Trustworthiness and Social Media Activity on Audience Engagement. CoRR abs/1808.09561 (2018) - [i15]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. CoRR abs/1811.06847 (2018) - 2017
- [j71]Aarti Sathyanarayana, Jaideep Srivastava, Luis Fernández-Luque:
The Science of Sweet Dreams: Predicting Sleep Efficiency from Wearable Device Data. Computer 50(3): 30-38 (2017) - [j70]Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna:
Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. 17(1): 37:1-37:13 (2017) - [j69]Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna:
Erratum to: Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. 17(1): 62:1-62:2 (2017) - [j68]Somwrita Sarkar, Sanjay Chawla, Shameem Ahmad, Jaideep Srivastava, Hossam M. Hammady, Fethi Filali, Wassim Znaidi, Javier Borge-Holthoefer:
Effective Urban Structure Inference from Traffic Flow Dynamics. IEEE Trans. Big Data 3(2): 181-193 (2017) - [j67]Atanu Roy, Ayush Singhal, Jaideep Srivastava:
Formation and Reciprocation of Dyadic Trust. ACM Trans. Internet Techn. 17(2): 15:1-15:24 (2017) - [j66]Ayush Singhal, Jaideep Srivastava:
Research dataset discovery from research publications using web context. Web Intell. 15(2): 81-99 (2017) - [c181]Jaideep Srivastava, Luis Fernández-Luque, Fernando José Martín-Sánchez, Kenneth D. Mandl:
Participatory Health Informatics for Data-Driven Precision Medicine. AMIA 2017 - [c180]Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava:
From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter. ASONAM 2017: 179-186 - [c179]Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava:
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CBMS 2017: 678-679 - [c178]Meghna Singh, Luis Fernández-Luque, Jaideep Srivastava:
The 360QS Toolkit for Sleep and Physical Activity Analysis Based on Wearables. CBMS 2017: 680-681 - [c177]Abdelkader Baggag, Halima Bensmail, Jaideep Srivastava:
Advanced Computation of Sparse Precision Matrices for Big Data. PAKDD (2) 2017: 27-38 - [c176]Ankit Sharma, Terrence J. Moore, Ananthram Swami, Jaideep Srivastava:
Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution. PAKDD (1) 2017: 511-523 - [c175]Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava:
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment. SocInfo (2) 2017: 74-88 - [i14]Tahar Zanouda, Noora Al Emadi, Sofiane Abbar, Jaideep Srivastava:
The Quantified City: Sensing Dynamics in Urban Setting. CoRR abs/1701.04253 (2017) - [i13]Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava:
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CoRR abs/1705.03691 (2017) - [i12]Ayush Singhal, Ravindra Kasturi, Ankit Sharma, Jaideep Srivastava:
Leveraging web resources for keyword assignment to short text documents. CoRR abs/1706.05985 (2017) - [i11]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning. CoRR abs/1712.09527 (2017) - 2016
- [j65]Xiaodong Feng, Ankit Sharma, Jaideep Srivastava, Sen Wu, Zhiwei Tang:
Social network regularized Sparse Linear Model for Top-N recommendation. Eng. Appl. Artif. Intell. 51: 5-15 (2016) - [j64]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Enabling Rapid Classification of Social Media Communications During Crises. Int. J. Inf. Syst. Crisis Response Manag. 8(3): 1-17 (2016) - [j63]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Mining Influencers Using Information Flows in Social Streams. ACM Trans. Knowl. Discov. Data 10(3): 26:1-26:28 (2016) - [c174]Atanu Roy, Chandrima Sarkar, Jaideep Srivastava, Jisu Huh:
Trustingness & trustworthiness: A pair of complementary trust measures in a social network. ASONAM 2016: 549-554 - [c173]Abdelkader Baggag, Sofiane Abbar, Tahar Zanouda, Javier Borge-Holthoefer, Jaideep Srivastava:
A Multiplex Approach to Urban Mobility. COMPLEX NETWORKS 2016: 551-563 - [c172]Aarti Sathyanarayana, Ferda Ofli, Luis Fernández-Luque, Jaideep Srivastava, Ahmed K. Elmagarmid, Teresa Arora, Shahrad Taheri:
Robust Automated Human Activity Recognition and Its Application to Sleep Research. ICDM Workshops 2016: 495-502 - [c171]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. ISCRAM 2016 - [c170]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Querying and Tracking Influencers in Social Streams. WSDM 2016: 493-502 - [i10]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. CoRR abs/1602.05388 (2016) - [i9]Aarti Sathyanarayana, Ferda Ofli, Luis Fernández-Luque, Jaideep Srivastava, Ahmed K. Elmagarmid, Teresa Arora, Shahrad Taheri:
Robust Automated Human Activity Recognition and its Application to Sleep Research. CoRR abs/1607.04867 (2016) - [i8]Aarti Sathyanarayana, Shafiq R. Joty, Luis Fernández-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed K. Elmagarmid, Shahrad Taheri, Teresa Arora:
Impact of Physical Activity on Sleep: A Deep Learning Based Exploration. CoRR abs/1607.07034 (2016) - 2015
- [j62]Xiaodong Feng, Sen Wu, Jaideep Srivastava, Prasanna Kumar Desikan:
Automatic instance selection via locality constrained sparse representation for missing value estimation. Knowl. Based Syst. 85: 210-223 (2015) - [j61]Przemyslaw Kazienko, Reda Alhajj, Jaideep Srivastava:
Computational Aspects of Social Network Analysis. Sci. Program. 2015: 961610:1-961610:2 (2015) - [c169]Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal:
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. ASONAM 2015: 408-415 - [c168]Hamed Haddadi, Ferda Ofli, Yelena Mejova, Ingmar Weber, Jaideep Srivastava:
360-degree Quantified Self. ICHI 2015: 587-592 - [c167]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar:
Rare Class Detection in Networks. SDM 2015: 406-414 - [c166]Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater:
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. WSDM 2015: 233-242 - [i7]Ankit Sharma, Xiaodong Feng, Kartik Singhal, Rui Kuang, Jaideep Srivastava:
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. CoRR abs/1507.03183 (2015) - [i6]Hamed Haddadi, Ferda Ofli, Yelena Mejova, Ingmar Weber, Jaideep Srivastava:
360 Quantified Self. CoRR abs/1508.00375 (2015) - 2014
- [j60]Chandrima Sarkar, Sarah Cooley, Jaideep Srivastava:
Robust Feature Selection Technique Using Rank Aggregation. Appl. Artif. Intell. 28(3): 243-257 (2014) - [j59]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Finding influencers in networks using social capital. Soc. Netw. Anal. Min. 4(1): 219 (2014) - [j58]Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang:
Exploiting small world property for network clustering. World Wide Web 17(3): 405-425 (2014) - [j57]Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu:
Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373 (2014) - [c165]Aarti Sathyanarayana, Jyotishman Pathak, Rozalina G. McCoy, Santiago Romero-Brufau, Maryam Panaziahar, Jaideep Srivastava:
Clinical Decision Making: A Framework for Predicting Rx Response. ICDM Workshops 2014: 1185-1188 - [c164]Ayush Singhal, Jaideep Srivastava:
Leveraging the web for automating tag expansion for low-content items. IRI 2014: 545-552 - [c163]Ayush Singhal, Atanu Roy, Jaideep Srivastava:
Understanding co-evolution in large multi-relational social networks. IRI 2014: 733-740 - [c162]Ayush Singhal, Ravindra Kasturi, Jaideep Srivastava:
DataGopher: Context-based search for research datasets. IRI 2014: 749-756 - [c161]Komal Kapoor, Mingxuan Sun, Jaideep Srivastava, Tao Ye:
A hazard based approach to user return time prediction. KDD 2014: 1719-1728 - [c160]Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava:
Scalable Information Flow Mining in Networks. ECML/PKDD (3) 2014: 130-146 - [c159]Ayush Singhal, Jaideep Srivastava:
Generating Semantic Annotations For Research Datasets. WIMS 2014: 30:1-30:11 - [c158]Muhammad Aurangzeb Ahmad, Jaideep Srivastava:
Behavioral data mining and network analysis in massive online games. WSDM 2014: 673-674 - [e11]Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor:
Predicting Real World Behaviors from Virtual World Data @ SocialCom 2013, Washington, DC, USA, September 2013. Springer Proceedings in Complexity, Springer 2014, ISBN 978-3-319-07141-1 [contents] - [r2]Komal Kapoor, Jaideep Srivastava:
Data Mining. Encyclopedia of Social Network Analysis and Mining 2014: 332-341 - [r1]Prasanna Kumar Desikan, Aarti Sathyanarayana, Jaideep Srivastava:
Online Healthcare Management. Encyclopedia of Social Network Analysis and Mining 2014: 1182-1193 - [i5]Ankit Sharma, Jaideep Srivastava, Abhishek Chandra:
Predicting Multi-actor collaborations using Hypergraphs. CoRR abs/1401.6404 (2014) - [i4]Ayush Singhal, Atanu Roy, Jaideep Srivastava:
Understanding Co-evolution in Large Multi-relational Social Networks. CoRR abs/1407.2883 (2014) - 2013
- [j56]Zoheb Hassan Borbora, Muhammad Aurangzeb Ahmad, Jehwan Oh, Karen Zita Haigh, Jaideep Srivastava, Zhen Wen:
Robust features of trust in social networks. Soc. Netw. Anal. Min. 3(4): 981-999 (2013) - [c157]Muhammad Aurangzeb Ahmad, Brian Keegan, Atanu Roy, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Guilt by association?: network based propagation approaches for gold farmer detection. ASONAM 2013: 121-126 - [c156]Colin DeLong, Loren G. Terveen, Jaideep Srivastava:
TeamSkill and the NBA: applying lessons from virtual worlds to the real-world. ASONAM 2013: 156-161 - [c155]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Finding influencers in networks using social capital. ASONAM 2013: 592-599 - [c154]Atanu Roy, Zoheb Hassan Borbora, Jaideep Srivastava:
Socialization and trust formation: a mutual reinforcement? An exploratory analysis in an online virtual setting. ASONAM 2013: 653-660 - [c153]Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar:
Dynamics of trust reciprocation in multi-relational networks. ASONAM 2013: 661-665 - [c152]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Social capital: the power of influencers in networks. AAMAS 2013: 1243-1244 - [c151]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Content-centric flow mining for influence analysis in social streams. CIKM 2013: 841-846 - [c150]Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee:
Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops 2013: 407-412 - [c149]Chandrima Sarkar, Jaideep Srivastava:
Impact of Density of Lab Data in EHR for Prediction of Potentially Preventable Events. ICHI 2013: 529-534 - [c148]