Mahsa Salehi
Orcid: 0000-0002-2991-1612
According to our database1,
Mahsa Salehi
authored at least 50 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
CARLA: Self-supervised contrastive representation learning for time series anomaly detection.
Pattern Recognit., 2025
2024
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
ACM Comput. Surv., September, 2024
Series2vec: similarity-based self-supervised representation learning for time series classification.
Data Min. Knowl. Discov., July, 2024
Improving position encoding of transformers for multivariate time series classification.
Data Min. Knowl. Discov., January, 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series.
CoRR, 2024
Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence.
CoRR, 2024
Resilient Automated Distributed Device Scheduling in Smart Grids under False Data Injection Attacks.
Proceedings of the IEEE International Conference on Communications, 2024
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks.
CoRR, 2023
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection.
CoRR, 2023
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Information resources estimation for accurate distribution-based concept drift detection.
Inf. Process. Manag., 2022
Data Min. Knowl. Discov., 2022
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022
2021
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
Data Min. Knowl. Discov., 2021
A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability.
Proceedings of the 2021 International Conference on Data Mining, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids.
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021
2020
Enabling Efficient Privacy-Assured Outlier Detection Over Encrypted Incremental Data Sets.
IEEE Internet Things J., 2020
CoRR, 2020
Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids.
Proceedings of the NOMS 2020, 2020
Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets.
CoRR, 2019
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
2018
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction].
SIGKDD Explor., 2018
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Proceedings of the Databases Theory and Applications, 2016
2015
Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014