Browsing by Author Chawla, Nitesh V.

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TitleAuthor(s)Issue Date
Beyond volume: The impact of complex healthcare data on the machine learning pipeline
Proceeding/Conference:Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers
2017
Camel: Content-aware and meta-path augmented metric learning for author identification
Proceeding/Conference:The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018
2018
Deep prototypical networks for imbalanced time series classification under data scarcity
Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings
2019
DeepCrime: Attentive hierarchical recurrent networks for crime prediction
Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings
2018
Few-shot knowledge graph completion
Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence
2020
Heterogeneous graph neural network
Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2019
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting
Proceeding/Conference:The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020
2020
 
Inductive Contextual Relation Learning for Personalization
Journal:ACM Transactions on Information Systems
2021
MIST: A multiview and multimodal spatial-temporal learning framework for citywide abnormal event forecasting
Proceeding/Conference:The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
2019
Neural tensor factorization for temporal interaction learning
Proceeding/Conference:WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining
2019
Online purchase prediction via multi-scale modeling of behavior dynamics
Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2019
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings
2020
Reliable fake review detection via modeling temporal and behavioral patterns
Proceeding/Conference:2017 IEEE International Conference on Big Data (Big Data)
2017
Restful: Resolution-aware forecasting of behavioral time series data
Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings
2018
 
2020
Similarity-aware network embedding with self-paced learning
Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings
2019
UAPD: Predicting Urban Anomalies from Spatial-Temporal Data
Proceeding/Conference:Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II
2017