Search Results for "-1구글-블랙키워드홍보대행圕(-@hhu9999 )구글-찌라시광고업체ꏾ구글업소광고ꕁSEO찌라시1페이지전문홍보팀ꘈ웹문서-블랙키워드광고프로그램.-.otp"

Text-to-SQL Generation for Question Answering on Electronic Medical Records

Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach

Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan: Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to SequenceApproach. IEEE BigData 2019: 543-552

Event Detection using Hierarchical Multi-Aspect Attention

Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan: Event Detection using Hierarchical Multi-Aspect Attention. WWW 2019: 3079-3085

Low Rank Factorization for Compact Multi-Head Self-Attention

NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network

Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan: NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network. CIKM2019: 1793-1802

DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems

Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan: DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI 2019: 3180-3186

EpiDeep: Exploiting Embeddings for Epidemic Forecasting

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash: EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD 2019: 577-586

On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game

Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles , Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman: On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180

Dropping the Baton?: Understanding Errors and Bottlenecks in a Crowdsourced Sensemaking Pipeline