Research output per year
Research output per year
- 11 results
Search results
-
2025
CARLA: Self-supervised contrastive representation learning for time series anomaly detection
Darban, Z. Z., Webb, G. I., Pan, S., Aggarwal, C. C. & Salehi, M., Jan 2025, In: Pattern Recognition. 157, 13 p., 110874.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile18 Citations (Scopus) -
2024
Deep Learning for Time Series Anomaly Detection: A Survey
Zamanzadeh Darban, Z., Webb, G. I., Pan, S., Aggarwal, C. C. & Salehi, M., 7 Oct 2024, In: ACM Computing Surveys. 57, 1, 42 p., 15.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile67 Citations (Scopus) -
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Foumani, N. M., Miller, L., Tan, C. W., Webb, G. I., Forestier, G. & Salehi, M., 25 Apr 2024, In: ACM Computing Surveys. 56, 9, 45 p., 217.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile67 Citations (Scopus) -
Improving position encoding of transformers for multivariate time series classification
Foumani, N. M., Tan, C. W., Webb, G. I. & Salehi, M., Jan 2024, In: Data Mining and Knowledge Discovery. 38, p. 22-48 27 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile65 Citations (Scopus) -
Series2vec: similarity-based self-supervised representation learning for time series classification
Foumani, N. M., Tan, C. W., Webb, G. I., Rezatofighi, H. & Salehi, M., Jul 2024, In: Data Mining and Knowledge Discovery. 38, p. 2520–2544 25 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Citations (Scopus) -
2022
An eager splitting strategy for online decision trees in ensembles
Manapragada, C., Gomes, H. M., Salehi, M., Bifet, A. & Webb, G. I., Mar 2022, In: Data Mining and Knowledge Discovery. 36, p. 566–619 54 p.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus) -
Information resources estimation for accurate distribution-based concept drift detection
Tan, C. H., Lee, C. S. & Salehi, M., May 2022, In: Information Processing and Management. 59, 3, 18 p., 102911.Research output: Contribution to journal › Article › Research › peer-review
6 Citations (Scopus) -
2021
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns
Shaalan, Y., Zhang, X., Chan, J. & Salehi, M., Mar 2021, In: Data Mining and Knowledge Discovery. 35, 2, p. 450–504 55 p.Research output: Contribution to journal › Article › Research › peer-review
12 Citations (Scopus) -
2020
Enabling efficient privacy-assured outlier detection over encrypted incremental data sets
Lai, S., Yuan, X., Sakzad, A., Salehi, M., Liu, J. K. & Liu, D., Apr 2020, In: IEEE Internet of Things Journal. 7, 4, p. 2651-2662 12 p., 8882332.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
2018
A survey on anomaly detection in evolving data [with application to forest fire risk prediction]
Salehi, M. & Rashidi, L., Jun 2018, In: SIGKDD Explorations. 20, 1, p. 13-23 11 p.Research output: Contribution to journal › Article › Research
Open AccessFile -
2016
Fast memory efficient local outlier detection in data streams
Salehi, M., Leckie, C., Bezdek, J., Vaithianathan, T. & Zhang, X., 1 Dec 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 12, p. 3246-3260 15 p.Research output: Contribution to journal › Article › Research › peer-review
143 Citations (Scopus)