DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings-Reference-Cited by-同舟云学术

DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings

Published:2023-04 Issue: Volume:215 Page:119376
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Roig Vilamala Marc^ORCID,Xing Tianwei^ORCID,Taylor Harrison,Garcia Luis,Srivastava Mani^ORCID,Kaplan Lance,Preece Alun^ORCID,Kimmig Angelika,Cerutti Federico^ORCID

Funder

US Army Research Laboratory

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Diagnosis of COVID-19 from X-rays using combined CNN-RNN Architecture with transfer learning;Al-Rakhami;MedRxiv,2021

2. Probabilistic complex event recognition: A survey;Alevizos;ACM Computing Surveys,2017

3. Real-time complex event recognition and reasoning-a logic programming approach;Anicic;Applied Artificial Intelligence - AAI,2012

4. Stream reasoning and complex event processing in ETALIS;Anicic;Semantic Web,2012

5. Dempster–Shafer theory for modeling and treating uncertainty in IoT applications based on complex event processing;Bezerra;Sensors,2021

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review;Information Fusion;2024-12

2. Semirings for probabilistic and neuro-symbolic logic programming;International Journal of Approximate Reasoning;2024-08

3. An Efficient Algorithm for Continuous Complex Event Matching Using Bit-Parallelism;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. "Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach";Artificial Intelligence Review;2024-03-05

5. Online event recognition over noisy data streams;International Journal of Approximate Reasoning;2023-10