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TensorSplat: Spotting Latent Anomalies in Time.

, , and . Panhellenic Conference on Informatics, page 144-149. IEEE Computer Society, (2012)

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Whither Social Networks for Web Search?, , and . KDD, page 1661-1670. ACM, (2015)NSVD: Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor Decomposition., and . SDM, page 667-675. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..NED: Niche Detection in User Content Consumption Data., , , and . CIKM, page 627-637. ACM, (2021)Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs., , and . WWW, page 452-462. ACM / IW3C2, (2020)Understanding Multilingual Social Networks in Online Immigrant Communities., and . WWW (Companion Volume), page 865-870. ACM, (2015)SV-Learn: Learning Matrix Singular Values with Neural Networks., , , and . ICDM (Workshops), page 232-237. IEEE, (2022)Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity., , , , and . ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 389-404. Springer, (2018)SPARTan: Scalable PARAFAC2 for Large & Sparse Data., , , , , , and . KDD, page 375-384. ACM, (2017)CARL-G: Clustering-Accelerated Representation Learning on Graphs., , , , , and . KDD, page 2036-2048. ACM, (2023)C3 APTION: Constraint Coupled CP And PARAFAC2 Tensor Decompostion., , and . ACSSC, page 187-190. IEEE, (2020)