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Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach., , , и . IJCNN, стр. 1-7. IEEE, (2020)Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach., , , , и . WISE (2), том 13081 из Lecture Notes in Computer Science, стр. 480-488. Springer, (2021)A system for effectively predicting flight delays based on IoT data., , , , и . Computing, 102 (9): 2025-2048 (2020)A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis., , , , и . IJCNN, стр. 1-7. IEEE, (2021)SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things., , , и . CAiSE, том 12127 из Lecture Notes in Computer Science, стр. 101-116. Springer, (2020)HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems., , , , , , и . IJCNN, стр. 1-8. IEEE, (2020)A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects., , , , и . ADMA, том 13088 из Lecture Notes in Computer Science, стр. 83-94. Springer, (2021)Trust ManagementTrust Management for Software-Defined Heterogeneous Vehicular Ad Hoc NetworksVehicular Ad hoc Networks., , , , и . Security, Privacy and Trust in the IoT Environment, Springer, (2019)Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech., , , и . IJCNN, стр. 1-7. IEEE, (2020)Real-Time Investigation of Flight Delays Based on the Internet of Things Data., , и . ADMA, том 10086 из Lecture Notes in Computer Science, стр. 788-800. (2016)