Search Results for "-㎃구글-웹문서-광고─텔레hhu9999─노출대행1페이지도배대출찌라시㏛찌라시광고달밤§최저가구글찌라시웹문서⊥.wpi.-.gjb"

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Batman or the joker?: the powerful urban computing and its ethics issues

Sareh Ahmadi

Sareh Ahmadi is a Ph.D. student in the Department of Computer Science.  Her advisor is Edward Fox. Ahmadi’s research interest lies in the field of artificial intelligence, specifically Natural Language Processing and vision-text multi-modal learning.

Detection of clusters in traffic networks based on spatio-temporal flow modeling

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation

Feature driven learning framework for cybersecurity event detection

Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan: Feature driven learning framework for cybersecurity event detection. ASONAM 2019: 196-203

Modeling the Relationship between User Comments and Edits in Document Revision

Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu: Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) 2019: 5001-5010

REGAL: A Regionalization framework for school boundaries

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan: REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547

Spatio-temporal Event Forecasting and Precursor Identification

Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala: Spatio-temporal Event Forecasting and Precursor Identification. KDD 2019: 3237-3238

A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors