Mahsa Salehi

According to our database, Mahsa Salehi authored at least 46 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving position encoding of transformers for multivariate time series classification.

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi

Data Min. Knowl. Discov., January, 2024

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.

Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi

CoRR, 2024

Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence.

Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi

CoRR, 2024

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks.

Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi

CoRR, 2023

Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification.

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi

CoRR, 2023

Open-Set Graph Anomaly Detection via Normal Structure Regularisation.

Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

CoRR, 2023

CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection.

Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi

CoRR, 2023

Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.

Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb

CoRR, 2023

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.

Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi

CoRR, 2023

Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment.

Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Information resources estimation for accurate distribution-based concept drift detection.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

Inf. Process. Manag., 2022

An eager splitting strategy for online decision trees in ensembles.

Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb

Data Min. Knowl. Discov., 2022

Deep Learning for Time Series Anomaly Detection: A Survey.

Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi

CoRR, 2022

ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection.

Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Extremely Fast Hoeffding Adaptive Tree.

Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb

Proceedings of the IEEE International Conference on Data Mining, 2022

False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids.

Thusitha Dayaratne, Mahsa Salehi, Carsten Rudolph, Ariel Liebman

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.

Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi

Data Min. Knowl. Discov., 2021

A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke

Proceedings of the 2021 International Conference on Data Mining, 2021

Disjoint-CNN for Multivariate Time Series Classification.

Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi

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.

Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi

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.

Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu

IEEE Internet Things J., 2020

An Eager Splitting Strategy for Online Decision Trees.

Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb

CoRR, 2020

Emergent and Unspecified Behaviors in Streaming Decision Trees.

Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet

CoRR, 2020

Detecting Driver's Distraction using Long-term Recurrent Convolutional Network.

Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar

CoRR, 2020

Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids.

Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi

Proceedings of the NOMS 2020, 2020

Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids.

Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi

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.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets.

Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu

CoRR, 2019

Online Semi-Supervised Concept Drift Detection with Density Estimation.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

CoRR, 2019

High Impact False Data Injection Attack against Real-time Pricing in Smart Grids.

Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi, Shan He

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].

Mahsa Salehi, Lida Rashidi

SIGKDD Explor., 2018

Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection.

Xuyun Zhang, Mahsa Salehi, Christopher Leckie, Yun Luo, Qiang He, Rui Zhou, Rao Kotagiri

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Online Clustering for Evolving Data Streams with Online Anomaly Detection.

Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Extremely Fast Decision Tree.

Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

A large-scale spatio-temporal data analytics system for wildfire risk management.

Ziyuan Wang, Hoang Tam Vo, Mahsa Salehi, Laura Irina Rusu, Claire Reeves, Anna Phan

Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, 2017

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract).

Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

An Efficient Method for Anomaly Detection in Non-Stationary Data Streams.

Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Fast Memory Efficient Local Outlier Detection in Data Streams.

Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang

IEEE Trans. Knowl. Data Eng., 2016

Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach.

Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection.

Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks.

Laura Irina Rusu, Hoang Tam Vo, Ziyuan Wang, Mahsa Salehi, Anna Phan

Proceedings of the Databases Theory and Applications, 2016

2015

Anomaly detection in data streams: challenges and techniques.

Mahsa Salehi

PhD thesis, 2015

Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper.

Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan

Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.

Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams.

Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014