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Andrey Kan
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2020 – today
- 2024
- [c15]Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot:
Textual Dataset Distillation via Language Model Embedding. EMNLP (Findings) 2024: 12557-12569 - [i11]Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan:
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series. CoRR abs/2401.10338 (2024) - [i10]Shou Li, Andrey Kan, Laurent Callot, Bhavana Bhasker, Muhammad Shihab Rashid, Timothy B. Esler:
REDO: Execution-Free Runtime Error Detection for COding Agents. CoRR abs/2410.09117 (2024) - 2023
- [c14]Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time Series Anomaly Detection. ICLR 2023 - 2022
- [c13]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. MSR 2022: 596-607 - [i9]Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot:
Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR abs/2201.06763 (2022) - [i8]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. CoRR abs/2203.05181 (2022) - [i7]Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time-series Anomaly Detection. CoRR abs/2210.01078 (2022) - 2021
- [j4]Hochan Cheon
, Andrey Kan, Giulio Prevedello, Simone C. Oostindie
Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance. Frontiers Bioinform. 1 (2021) - [c12]Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor:
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK 2021: 271-280 - [c11]Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys 2021: 484-494 - 2020
- [c10]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c9]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD 2020: 503-512 - [c8]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c7]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [i6]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i5]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i4]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i3]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020)
2010 – 2019
- 2019
- [c6]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [i2]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - 2016
- [c5]Lida Rashidi
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178 - 2015
- [j3]Andrey Kan, John Markham, Rajib Chakravorty
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53: 38-43 (2015) - 2014
- [c4]Liyan Liu, Andrey Kan, Jie H. S. Zhou
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy. ICDM Workshops 2014: 968-975 - 2013
- [j2]Andrey Kan, Christopher Leckie
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46(11): 2849-2859 (2013) - [j1]Andrey Kan, Jeffrey Chan
A time decoupling approach for studying forum dynamics. World Wide Web 16(5-6): 595-620 (2013) - [c3]Jeffrey Chan
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816 - 2012
- [b1]Andrey Kan:
Automated analysis of time lapse microscopy images. University of Melbourne, Australia, 2012 - [c2]Wei Liu, Andrey Kan, Jeffrey Chan
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [i1]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A Time Decoupling Approach for Studying Forum Dynamics. CoRR abs/1201.2277 (2012)
2000 – 2009
- 2009
- [c1]Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie:
A Query Based Approach for Mining Evolving Graphs. AusDM 2009: 139-150
Coauthor Index
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