Andrey Kan

According to our database1, Andrey Kan authored at least 21 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series.
CoRR, 2024

2023
Unsupervised Model Selection for Time Series Anomaly Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Online Time Series Anomaly Detection with State Space Gaussian Processes.
CoRR, 2022

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021
Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance.
Frontiers Bioinform., 2021

EX3: Explainable Attribute-aware Item-set Recommendations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

DiffXtract: Joint Discriminative Product Attribute-Value Extraction.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

J-Recs: Principled and Scalable Recommendation Justification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2016
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Ranking cell tracking systems without manual validation.
Pattern Recognit. Lett., 2015

2014
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
A time decoupling approach for studying forum dynamics.
World Wide Web, 2013

Measures for ranking cell trackers without manual validation.
Pattern Recognit., 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Automated analysis of time lapse microscopy images.
PhD thesis, 2012

On compressing weighted time-evolving graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2009
A Query Based Approach for Mining Evolving Graphs.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009


  Loading...