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Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning., , и . CoRR, (2019)Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate., , , , , , , , и . Proc. ACM Hum. Comput. Interact., 3 (CSCW): 151:1-151:22 (2019)Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key., , и . CoRR, (2021)CySoc 2023: 4th International Workshop on Cyber Social Threats., , , , , и . WWW (Companion Volume), стр. 1307. ACM, (2023)Improving Contextual Congruence Across Modalities for Effective Multimodal Marketing using Knowledge-infused Learning., , , , и . CoRR, (2024)Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations., , , и . ICWSM Workshops, (2020)Knowledge-infused Deep Learning., , , , и . HT, стр. 309-310. ACM, (2020)Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning., , и . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), том 2600 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding., , , , , , , и . WI, стр. 474-479. IEEE Computer Society, (2018)Predictive Analysis on Twitter: Techniques and Applications., , , , , и . CoRR, (2018)