Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan: Multi-Task Learning for Transit Service Disruption Detection. ASONAM 2018: 634-641

Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, Naren Ramakrishnan: Incorporating Prior Domain Knowledge into Deep Neural Networks. IEEE BigData 2018: 36-45

Sujay Yadawadkar, Brian Mayer , Sanket Lokegaonkar, Mohammad Raihanul Islam, Naren Ramakrishnan, Miao Song, Michael Mollenhauer: Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data. IEEE BigData 2018: 2019-2026

Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan: DeepDiffuse: Predicting the ‘Who’ and ‘When’ in Cascades. ICDM 2018: 1055-1060

Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang , Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan: Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804

Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan: SIGNet: Scalable Embeddings for Signed Networks. PAKDD (2) 2018: 157-169

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash: Sub2Vec: Feature Learning for Subgraphs. PAKDD (2) 2018: 170-182

Nasrin Akhter, Liang Zhao, Desmond Arias, Huzefa Rangwala, Naren Ramakrishnan: Forecasting Gang Homicides with Multi-level Multi-task Learning. SBP-BRiMS 2018: 28-37

Yue Ning, Rongrong Tao, Chandan K. Reddy , Huzefa Rangwala, James C. Starz, Naren Ramakrishnan: STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM 2018: 99-107

Vanessa Cedeno-Mieles , Yihui Ren , Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit , Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy: Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked SocialScience Experiments. WSC […]