Event Understanding Publications

Publications in Event Understanding

Explore the most influential research papers and scholarly works that have shaped Event Understanding. Use the concept filter below to focus on a specific sub-area of research.

Event Understanding

1.1K

Publications

67.4K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
DeepLog Min Du, Li Fei-Fei, Guineng Zheng, Natural Language ProcessingSequence ModellingAnomaly DetectionEvent UnderstandingData Science	2017	1.5K
The Use of Newspaper Data in the Study of Collective Action Jennifer Earl, Andrew Martin, John D. McCarthy, Annual Review of Sociology Citizen JournalismPublic OpinionPolitical PolarizationPolitical BehaviorCollective Behavior	2004	1.1K
A compound event framework for understanding extreme impacts Michael Leonard, Seth Westra, Aloke Phatak, Wiley Interdisciplinary Reviews Climate Change EngineeringCompound Event FrameworkNatural HazardsNatural Hazard AssessmentEarth Science	2013	847
A Survey of Techniques for Event Detection in Twitter Atefeh Farzindar, Wael Khreich Computational Intelligence EngineeringSocial Medium MonitoringCommunicationEvent Detection TechniquesMining Methods	2013	701
What Role Does Hydrological Science Play in the Age of Machine Learning? Grey Nearing, Frederik Kratzert, Alden Keefe Sampson, Water Resources Research Hydrological PredictionEngineeringMachine LearningHydrologic EngineeringEvent Understanding	2020	697
DNN-based prediction model for spatio-temporal data Junbo Zhang, Yu Zheng, Dekang Qi, Convolutional Neural NetworkEngineeringMachine LearningSpatiotemporal Data FusionSpatiotemporal Database	2016	650
Applications for deep learning in ecology Sylvain Christin, Éric Hervet, Nicolas Lecomte Methods in Ecology and Evolution Convolutional Neural NetworkDeep Neural NetworksEngineeringEvent UnderstandingMachine Learning	2019	638
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, IEEE Access Anomaly DetectionMachine LearningData ScienceData MiningEvent Understanding	2018	618
Computer vision and deep learning–based data anomaly detection method for structural health monitoring Yuequan Bao, Zhiyi Tang, Hui Li, Structural Health Monitoring Convolutional Neural NetworkAnomaly DetectionMachine LearningEngineeringIntelligent Diagnostics	2018	567
Deep learning for event-driven stock prediction Xiao Ding, Yue Zhang, Ting Liu, International Conference on Artificial Intelligence EngineeringMachine LearningData ScienceEvent UnderstandingStock Price Movements	2015	557
Twitinfo Adam Marcus, Michael S. Bernstein, Osama Badar, EngineeringSocial Medium MonitoringCorpus LinguisticsJournalismText Mining	2011	555
Trajectory-Based Anomalous Event Detection Claudio Piciarelli, Christian Micheloni, Gian Luca Foresti IEEE Transactions on Circuits and Systems for Video Technology Anomaly DetectionMachine LearningEngineeringAction Recognition (Movement Science)Action Recognition (Computer Vision)	2008	526

Page 1