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Automatic detection of bike-riders without helmet using surveillance videos in real-time.

, , and . IJCNN, page 3046-3051. IEEE, (2016)

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Optimizing Unlicensed Coexistence Network Performance Through Data Learning., , , , and . MobiQuitous, volume 419 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 128-149. Springer, (2021)Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters., , , , , and . SMARTCOMP, page 342-348. IEEE, (2022)SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels., , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2330-2340. PMLR, (2021)NGAME: Negative Mining-aware Mini-batching for Extreme Classification., , , , , , , , , and 9 other author(s). CoRR, (2022)Deep Encoders with Auxiliary Parameters for Extreme Classification., , , , , , , , and . KDD, page 358-367. ACM, (2023)Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation., , , , , , and . WSDM, page 441-449. ACM, (2018)Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters., , , , and . SMC, page 1848-1855. IEEE, (2022)Automatic detection of bike-riders without helmet using surveillance videos in real-time., , and . IJCNN, page 3046-3051. IEEE, (2016)LTE-LAA cell selection through operator data learning and numerosity reduction., , , , and . Pervasive Mob. Comput., (2022)DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents., , , , , , , , and . WSDM, page 31-39. ACM, (2021)