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Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.

, , , , , and . WWW, page 2158-2168. ACM, (2019)

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Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings., , and . CIKM, page 437-446. ACM, (2018)RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs., , , and . WWW, page 845-856. ACM / IW3C2, (2021)Understanding human dynamics from large-scale location-centric social media data : analysis and applications. (Exploration de la dynamique humaine basée sur des données massives de réseaux sociaux de géolocalisation : analyse et applications).. Telecom & Management SudParis, Évry, Essonne, France, (2015)Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!, , and . IEEE BigData, page 2465-2473. IEEE, (2019)Black-Box Data Poisoning Attacks on Crowdsourcing., , , , , and . IJCAI, page 2975-2983. ijcai.org, (2023)Differential Location Privacy for Sparse Mobile Crowdsensing., , , , and . ICDM, page 1257-1262. IEEE Computer Society, (2016)Bike sharing station placement leveraging heterogeneous urban open data., , , , , , , and . UbiComp, page 571-575. ACM, (2015)Selecting the Best Solvers: Toward Community Based Crowdsourcing for Disaster Management., , , and . APSCC, page 271-277. IEEE Computer Society, (2012)HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology., , , and . ACL (Findings), page 2918-2929. Association for Computational Linguistics, (2024)Automated Classification of C&C Connections Through Malware URL Clustering., , , , and . SEC, volume 455 of IFIP Advances in Information and Communication Technology, page 252-266. Springer, (2015)