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

المصدر: Expert Systems with Applications. 215:119376

مصطلحات موضوعية: Artificial Intelligence, Neuro-symbolic architecture, Complex Event Processing, Learning with sparse data, Robustness, General Engineering, Computer Science Applications

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c414d3bab7a5f00e39ea3c2280225e90
https://doi.org/10.1016/j.eswa.2022.119376

المؤلفون: Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimming, Federico Cerutti

المصدر: Electronic Proceedings in Theoretical Computer Science. 325:90-92

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0f32d539b48dc2ec1b79cf135bde57ec
https://doi.org/10.4204/eptcs.325.15

المؤلفون: Liam Hiley, Dave Braines, Lance M. Kaplan, Mani Srivastava, Mark Law, Marc Roig Vilamala, Alessandra Russo, Federico Cerutti, Tianwei Xing, Jack Furby, Alun Preece

المصدر: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.

مصطلحات موضوعية: Symbolic reasoning, Artificial neural network, business.industry, Computer science, Deep neural networks, The Symbolic, Enhanced Data Rates for GSM Evolution, Artificial intelligence, Architecture, Situational ethics, business, Symbolic learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8948736780dbf41a8b72e22f5108047e
https://doi.org/10.1117/12.2587850

المؤلفون: Luis Garcia, Lance M. Kaplan, Mani Srivastava, Alun Preece, Tianwei Xing, Federico Cerutti, Marc Roig Vilamala

المصدر: SenSys

مصطلحات موضوعية: neural symbolic system, Process (engineering), Computer science, media_common.quotation_subject, 02 engineering and technology, Machine learning, computer.software_genre, complex event detection, mobile sensing, neural networks, resource-efficient learning, Perception, 0202 electrical engineering, electronic engineering, information engineering, Set (psychology), Protocol (object-oriented programming), media_common, Artificial neural network, business.industry, Event (computing), Deep learning, 020207 software engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Wireless sensor network, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5319131f5361250eaa96695c583bbdc3
http://hdl.handle.net/11379/538197

المؤلفون: Lance M. Kaplan, Alun Preece, Daniel Vente, Angelika Kimmig, Marc Roig Vilamala, Federico Cerutti, Murat Sensoy, Paul Sullivan, Richard Tomsett

المصدر: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.

مصطلحات موضوعية: Data collection, Training set, Notice, business.industry, Computer science, Low Confidence, Probabilistic logic, Bayesian network, Uncertainty aware, Machine learning, computer.software_genre, Situational understanding, Causal reasoning, Artificial intelligence, Situational ethics, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2b821bf740df554f6b944c6319cb26
https://doi.org/10.1117/12.2519945

المؤلفون: Lance M. Kaplan, Tianwei Xing, Luis Garcia, Mani Srivastava, Alun Preece, Marc Roig Vilamala, Federico Cerutti

المصدر: SMARTCOMP

مصطلحات موضوعية: Training set, Complex event processing, Deep learning, Information fusion, Computer science, business.industry, 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, 0105 earth and related environmental sciences, Interpretability

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c60e9d25ca5f9f2ea8f19eaf6bd9b65b
http://hdl.handle.net/11379/529007