Mahsa Salehi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 49

Top Venues

CoRR

Data Min. Knowl. Discov.

KDD

ICDM (Workshops)

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. 56 (9) (2024)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Discov. 38 (1) (2024)
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. KDD (2024)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
Series2vec: similarity-based self-supervised representation learning for time series classification. Data Min. Knowl. Discov. 38 (4) (2024)
Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi
Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence. CoRR (2024)
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Mahsa Salehi
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. CoRR (2024)
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
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK (2024)
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. CoRR (2024)
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR (2023)
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks. CoRR (2023)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR (2023)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR (2023)
Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI (2023)
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR (2023)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
Information resources estimation for accurate distribution-based concept drift detection. Inf. Process. Manag. 59 (3) (2022)
Thusitha Dayaratne, Mahsa Salehi, Carsten Rudolph, Ariel Liebman
False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids. DSN (2022)
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
Deep Learning for Time Series Anomaly Detection: A Survey. CoRR (2022)
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
An eager splitting strategy for online decision trees in ensembles. Data Min. Knowl. Discov. 36 (2) (2022)
Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb
Extremely Fast Hoeffding Adaptive Tree. ICDM (2022)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR (2022)
Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) (2022)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi
Disjoint-CNN for Multivariate Time Series Classification. ICDM (Workshops) (2021)
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids. CODASPY (2021)
Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. Data Min. Knowl. Discov. 35 (2) (2021)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke
A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability. ICDM (Workshops) (2021)
Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. CoRR (2020)
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids. ISGT-Europe (2020)
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids. NOMS (2020)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. ICDM (Workshops) (2020)
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
An Eager Splitting Strategy for Online Decision Trees. CoRR (2020)
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet
Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR (2020)
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
Enabling Efficient Privacy-Assured Outlier Detection Over Encrypted Incremental Data Sets. IEEE Internet Things J. 7 (4) (2020)
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets. CoRR (2019)
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi, Shan He
High Impact False Data Injection Attack against Real-time Pricing in Smart Grids. ISGT Europe (2019)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
Online Semi-Supervised Concept Drift Detection with Density Estimation. CoRR (2019)
Xuyun Zhang, Mahsa Salehi, Christopher Leckie, Yun Luo, Qiang He, Rui Zhou, Rao Kotagiri
Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection. WISE (2) (2018)
Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi
Online Clustering for Evolving Data Streams with Online Anomaly Detection. PAKDD (2) (2018)
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
Extremely Fast Decision Tree. CoRR (2018)
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
Extremely Fast Decision Tree. KDD (2018)
Mahsa Salehi, Lida Rashidi
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]. SIGKDD Explor. 20 (1) (2018)
Ziyuan Wang, Hoang Tam Vo, Mahsa Salehi, Laura Irina Rusu, Claire Reeves, Anna Phan
A large-scale spatio-temporal data analytics system for wildfire risk management. GeoRich@SIGMOD (2017)
Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi
An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. GLOBECOM (2017)
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). ICDE (2017)
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang
Fast Memory Efficient Local Outlier Detection in Data Streams. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie
Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. Australasian Conference on Artificial Intelligence (2016)
Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. KDD (2016)
Laura Irina Rusu, Hoang Tam Vo, Ziyuan Wang, Mahsa Salehi, Anna Phan
Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks. ADC (2016)
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan
Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper. ISSNIP (2015)
Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. CIKM (2015)
Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. PAKDD (2) (2014)

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Publication Activity (10 Years)

Top Topics

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Mahsa Salehi