Rosenblum, David S.

9 publications

ECML-PKDD 2020 Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

AAAI 2019 Evaluating Recommender System Stability with Influence-Guided Fuzzing David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum

IJCAI 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum

IJCAI 2018 A Non-Parametric Generative Model for Human Trajectories Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang

AAAI 2016 Fortune Teller: Predicting Your Career Path Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum

AAAI 2016 Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum

AAAI 2016 Recognizing Complex Activities by a Probabilistic Interval-Based Model Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum

IJCAI 2016 Urban Water Quality Prediction Based on Multi-Task Multi-View Learning Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum

IJCAI 2015 Action2Activity: Recognizing Complex Activities from Sensor Data Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum