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The impact of deep learning on document classification using semantically rich representations., , и . Inf. Process. Manag., 56 (5): 1618-1632 (2019)A Review of Using Online Social Networks for Investigative Activities., и . HCI (22), том 8531 из Lecture Notes in Computer Science, стр. 3-12. Springer, (2014)Efficient Melanoma Detection Using Texture-Based RSurf Features., , и . ICIAR, том 9730 из Lecture Notes in Computer Science, стр. 30-37. Springer, (2016)Automatic detection of colonoscopic anomalies using capsule endoscopy., , , и . ICIP, стр. 1061-1064. IEEE, (2015)Developing an Agent-Based Simulation Model for Predicting Technology Acceptance at Border Crossing Points., и . ICARA, стр. 373-378. IEEE, (2023)Correction to: Intelligent Technologies and Applications., , и . INTAP, том 1382 из Communications in Computer and Information Science, Springer, (2020)Adult Video Content Detection Using Machine Learning Techniques., , и . SITIS, стр. 967-974. IEEE Computer Society, (2012)The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification Using Both Hand-Crafted and Deep Features., , и . IntelliSys (1), том 868 из Advances in Intelligent Systems and Computing, стр. 150-159. Springer, (2018)A relevance feedback based image retrieval approach for improved performance., , и . CVCS, стр. 1-6. IEEE, (2015)Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain., , , и . MLIS@ICML, том 43 из JMLR Workshop and Conference Proceedings, стр. 6-14. JMLR.org, (2015)