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Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions.

, , , , , , , , и . CoRR, (2022)

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M Muthiah

 

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Using AntiPatterns to avoid MLOps Mistakes., , , , , , , , , и 1 other автор(ы). CoRR, (2021)Scrutinizing Shipment Records To Thwart Illegal Timber Trade., , , , и . CoRR, (2022)RumorSleuth: joint detection of rumor veracity and user stance., , и . ASONAM, стр. 131-136. ACM, (2019)The EMBERS architecture for streaming predictive analytics., , , , , , , , , и 3 other автор(ы). IEEE BigData, стр. 11-13. IEEE Computer Society, (2014)Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning., , , и . KDD, стр. 1095-1104. ACM, (2016)Capturing Planned Protests from Open Source Indicators., , , , , , и . AI Mag., 37 (2): 63-75 (2016)DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems., , и . IJCAI, стр. 3180-3186. ijcai.org, (2019)When do Crowds Turn Violent? Uncovering Triggers from Media., , , , и . ASONAM, стр. 77-82. IEEE Computer Society, (2018)NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network., , и . CIKM, стр. 1793-1802. ACM, (2019)'Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators, , , , , , , , , и 20 other автор(ы). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, стр. 1799--1808. New York, NY, USA, ACM, (2014)