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Neuroplex: learning to detect complex events in sensor networks through knowledge injection.

, , , , , , and . SenSys, page 489-502. ACM, (2020)

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Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs., , , , , , , and . FPGA, page 15-24. ACM, (2017)An Experimentation Platform for Explainable Coalition Situational Understanding., , , , , , , , , and 1 other author(s). CoRR, (2020)A Hybrid Neuro-Symbolic Approach for Complex Event Processing., , , , , , , , and . CoRR, (2020)DeepSQA: Understanding Sensor Data via Question Answering., , , , , and . IoTDI, page 106-118. ACM, (2021)DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings., , , , , , , , and . Expert Syst. Appl., (April 2023)Personalized Course Sequence Recommendations., , and . CoRR, (2015)Neuroplex: learning to detect complex events in sensor networks through knowledge injection., , , , , , and . SenSys, page 489-502. ACM, (2020)Personalized Course Sequence Recommendations., , and . IEEE Trans. Signal Process., 64 (20): 5340-5352 (2016)Deep Learning for Sensing in Complex and Dynamic Environments.. University of California, Los Angeles, USA, (2021)DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information., , , , , , and . SMARTCOMP, page 87-92. IEEE, (2019)