Mahsa Salehi

70 papers A* 7A 3B 2Misc 1Journal 37Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
CARLA: Self-supervised contrastive representation learning for time series anomaly detection.
Pattern Recognit.
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025 J jnl
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection.
CoRR
Zahra Zamanzadeh Darban, Qizhou Wang, Charu C. Aggarwal, Geoffrey I. Webb, Ehsan Abbasnejad, Mahsa Salehi
2025 — conf
CNN-Transformer with Absolute Positional Encoding Optimized for Low-Dimensional Inputs: Applied to Estimate Sliding Drop Width.
ECML/PKDD (9)
Sajjad Shumaly, Fahimeh Darvish, Mahsa Salehi, Navid Mohammadi Foumani, Oleksandra Kukharenko, Hans-Jürgen Butt, Ulrich Schwanecke, Rüdiger Berger
2025 J jnl
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series.
IEEE Trans. Knowl. Data Eng.
Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi
2025 J jnl
Deep Learning for Time Series Anomaly Detection: A Survey.
ACM Comput. Surv.
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi
2025 J jnl
EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG.
CoRR
Navid Mohammadi Foumani, Soheila Ghane, Nam Nguyen, Mahsa Salehi, Geoffrey I. Webb, Geoffrey Mackellar
2025 — conf
EV Energy Trading Dashboard: Cost-Emission Reduction Through Spatiotemporal Forecasts and Smart Charging.
SIGSPATIAL/GIS
Muhammad Insan Al-Amin, Jinchun Du, Muhammad Aamir Cheema, Isma Farah Siddiqui, Mahsa Salehi
2025 J jnl
GenIAS: Generator for Instantiating Anomalies in time Series.
CoRR
Zahra Zamanzadeh Darban, Qizhou Wang, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025 J jnl
MONSTER: Monash Scalable Time Series Evaluation Repository.
CoRR
Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025 J jnl
MONSTER: Monash Scalable Time Series Evaluation Repository.
J. Data-centric Mach. Learn. Res.
Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025 A* conf
Open-Set Graph Anomaly Detection via Normal Structure Regularisation.
ICLR
Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie
2025 J jnl
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series.
Data Min. Knowl. Discov.
Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, Geoffrey I. Webb
2025 — conf
The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications.
WWW (Companion Volume)
Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2024 J jnl
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series.
CoRR
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Mahsa Salehi
2024 J jnl
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
ACM Comput. Surv.
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2024 A* conf
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.
KDD
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
2024 J jnl
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.
CoRR
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
2024 J jnl
Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence.
CoRR
Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi
2024 J jnl
Improving position encoding of transformers for multivariate time series classification.
Data Min. Knowl. Discov.
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2024 — conf
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations.
ACL (Short Papers)
Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine
2024 J jnl
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations.
CoRR
Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine
2024 A conf
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.
LAK
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
2024 — conf
Resilient Automated Distributed Device Scheduling in Smart Grids under False Data Injection Attacks.
SmartGridComm
Thusitha Dayaratne, Carsten Rudolph, Mahsa Salehi, Ariel Liebman
2024 J jnl
Series2vec: similarity-based self-supervised representation learning for time series classification.
Data Min. Knowl. Discov.
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2023 J jnl
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection.
CoRR
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi
2023 A* conf
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment.
AAAI
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023 J jnl
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
CoRR
Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2023 J jnl
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks.
CoRR
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
2023 J jnl
Improving Position Encoding of Transformers for Multivariate Time Series Classification.
CoRR
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2023 — conf
Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors.
PKDD/ECML Workshops (4)
Yueyi Ge, Ingrid Zukerman, Mahsa Salehi, Mor Vered
2023 J jnl
Open-Set Graph Anomaly Detection via Normal Structure Regularisation.
CoRR
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023 J jnl
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.
CoRR
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
2023 J jnl
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification.
CoRR
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2022 J jnl
An eager splitting strategy for online decision trees in ensembles.
Data Min. Knowl. Discov.
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2022 J jnl
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment.
CoRR
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2022 J jnl
Deep Learning for Time Series Anomaly Detection: A Survey.
CoRR
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2022 — conf
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection.
PAKDD (2)
Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
2022 A* conf
Extremely Fast Hoeffding Adaptive Tree.
ICDM
Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb
2022 A conf
False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids.
DSN
Thusitha Dayaratne, Mahsa Salehi, Carsten Rudolph, Ariel Liebman
2022 J jnl
Information resources estimation for accurate distribution-based concept drift detection.
Inf. Process. Manag.
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2021 — conf
A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability.
ICDM (Workshops)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke
2021 J jnl
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
Data Min. Knowl. Discov.
Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi
2021 — conf
Disjoint-CNN for Multivariate Time Series Classification.
ICDM (Workshops)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi
2021 — conf
We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids.
CODASPY
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
2020 J jnl
An Eager Splitting Strategy for Online Decision Trees.
CoRR
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2020 J jnl
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network.
CoRR
Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar
2020 J jnl
Emergent and Unspecified Behaviors in Streaming Decision Trees.
CoRR
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet
2020 J jnl
Enabling Efficient Privacy-Assured Outlier Detection Over Encrypted Incremental Data Sets.
IEEE Internet Things J.
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
2020 B conf
Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids.
NOMS
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
2020 — conf
MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream.
ICDM (Workshops)
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2020 — conf
Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids.
ISGT-Europe
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi
2019 J jnl
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets.
CoRR
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
2019 — conf
High Impact False Data Injection Attack against Real-time Pricing in Smart Grids.
ISGT Europe
Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi, Shan He
2019 J jnl
Online Semi-Supervised Concept Drift Detection with Density Estimation.
CoRR
Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2018 J jnl
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction].
SIGKDD Explor.
Mahsa Salehi, Lida Rashidi
2018 — conf
Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection.
WISE (2)
Xuyun Zhang, Mahsa Salehi, Christopher Leckie, Yun Luo, Qiang He, Rui Zhou, Rao Kotagiri
2018 A* conf
Extremely Fast Decision Tree.
KDD
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
2018 J jnl
Extremely Fast Decision Tree.
CoRR
Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi
2018 — conf
Online Clustering for Evolving Data Streams with Online Anomaly Detection.
PAKDD (2)
Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi
2017 — conf
A large-scale spatio-temporal data analytics system for wildfire risk management.
GeoRich@SIGMOD
Ziyuan Wang, Hoang Tam Vo, Mahsa Salehi, Laura Irina Rusu, Claire Reeves, Anna Phan
2017 B conf
An Efficient Method for Anomaly Detection in Non-Stationary Data Streams.
GLOBECOM
Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi
2017 A* conf
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract).
ICDE
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang
2016 Misc conf
Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks.
ADC
Laura Irina Rusu, Hoang Tam Vo, Ziyuan Wang, Mahsa Salehi, Anna Phan
2016 A* conf
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach.
KDD
Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan
2016 J jnl
Fast Memory Efficient Local Outlier Detection in Data Streams.
IEEE Trans. Knowl. Data Eng.
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang
2016 — conf
Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection.
Australasian Conference on Artificial Intelligence
Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie
2015 — —
Anomaly detection in data streams: challenges and techniques.
Mahsa Salehi
2015 — conf
Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper.
ISSNIP
Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan
2015 A conf
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.
CIKM
Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie
2014 — conf
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams.
PAKDD (2)
Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan