A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. - Mahsa Salehi; Christopher A. Leckie; Masud Moshtaghi; Tharshan Vaithianathan (PAKDD (2), 2014)

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. - Minh Tuan Doan; Sutharshan Rajasegarar; Mahsa Salehi; Masud Moshtaghi; Christopher Leckie (CIKM, 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 (ISSNIP, 2015)

Anomaly detection in data streams: challenges and techniques. - Mahsa Salehi (2015)

Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks. - Laura Irina Rusu; Hoang Tam Vo; Ziyuan Wang 003; Mahsa Salehi; Anna Phan (ADC, 2016)

Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. - Mahsa Salehi; Xuyun Zhang; James C. Bezdek; Christopher Leckie (Australasian Conference on Artificial Intelligence, 2016)

Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. - Mahsa Salehi; Laura Irina Rusu; Timothy M. Lynar; Anna Phan (KDD, 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)

An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. - Milad Chenaghlou; Masud Moshtaghi; Christopher Leckie; Mahsa Salehi (GLOBECOM, 2017)

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). - Mahsa Salehi; Christopher Leckie; James C. Bezdek; Tharshan Vaithianathan; Xuyun Zhang (ICDE, 2017)

A large-scale spatio-temporal data analytics system for wildfire risk management. - Ziyuan Wang 003; Hoang Tam Vo; Mahsa Salehi; Laura Irina Rusu; Claire Reeves; Anna Phan (GeoRich@SIGMOD, 2017)

Extremely Fast Decision Tree. - Chaitanya Manapragada; Geoffrey I. Webb; Mahsa Salehi (KDD, 2018)

Online Clustering for Evolving Data Streams with Online Anomaly Detection. - Milad Chenaghlou; Masud Moshtaghi; Christopher Leckie; Mahsa Salehi (PAKDD (2), 2018)

Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection. - Xuyun Zhang; Mahsa Salehi; Christopher Leckie; Yun Luo; Qiang He 001; Rui Zhou 001; Rao Kotagiri (WISE (2), 2018)

A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]. - Mahsa Salehi; Lida Rashidi (SIGKDD Explor., 2018)

High Impact False Data Injection Attack against Real-time Pricing in Smart Grids. - Thusitha Dayaratne; Carsten Rudolph; Ariel Liebman; Mahsa Salehi; Shan He (ISGT Europe, 2019)

Online Semi-Supervised Concept Drift Detection with Density Estimation. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (CoRR, 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)

MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (ICDM (Workshops), 2020)

Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids. - Thusitha Dayaratne; Carsten Rudolph; Ariel Liebman; Mahsa Salehi (ISGT-Europe, 2020)

Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids. - Thusitha Dayaratne; Carsten Rudolph; Ariel Liebman; Mahsa Salehi (NOMS, 2020)

Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. - Chang Wei Tan; Mahsa Salehi; Geoffrey Mackellar (CoRR, 2020)

Emergent and Unspecified Behaviors in Streaming Decision Trees. - Chaitanya Manapragada; Geoffrey I. Webb; Mahsa Salehi; Albert Bifet (CoRR, 2020)

An Eager Splitting Strategy for Online Decision Trees. - Chaitanya Manapragada; Heitor Murilo Gomes; Mahsa Salehi; Albert Bifet; Geoffrey I. Webb (CoRR, 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)

We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids. - Thusitha Dayaratne; Carsten Rudolph; Ariel Liebman; Mahsa Salehi (CODASPY, 2021)

Disjoint-CNN for Multivariate Time Series Classification. - Seyed Navid Mohammadi Foumani; Chang Wei Tan; Mahsa Salehi (ICDM (Workshops), 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 (ICDM (Workshops), 2021)

Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. - Yassien Shaalan; Xiuzhen Zhang 001; Jeffrey Chan; Mahsa Salehi (Data Min. Knowl. Discov., 2021)

False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids. - Thusitha Dayaratne; Mahsa Salehi; Carsten Rudolph; Ariel Liebman (DSN, 2022)

Extremely Fast Hoeffding Adaptive Tree. - Chaitanya Manapragada; Mahsa Salehi; Geoffrey I. Webb (ICDM, 2022)

ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. - Qizhou Wang 001; Mahsa Salehi; Jia Shun Low; Wray L. Buntine; Christopher Leckie (PAKDD (2), 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)

Information resources estimation for accurate distribution-based concept drift detection. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (Inf. Process. Manag., 2022)

Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Wray L. Buntine; Christopher Leckie (AAAI, 2023)

Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors. - Yueyi Ge; Ingrid Zukerman; Mahsa Salehi; Mor Vered (PKDD/ECML Workshops (4), 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)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Wray L. Buntine; Christopher Leckie (CoRR, 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)

MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. - Gia-Bao Dinh Ho; Chang Wei Tan; Zahra Zamanzadeh Darban; Mahsa Salehi; Reza Haffari; Wray L. Buntine (ACL (Short Papers), 2024)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. - Navid Mohammadi Foumani; Geoffrey Mackellar; Soheila Ghane; Saad Irtza; Nam Nguyen; Mahsa Salehi (KDD, 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 004; Guanliang Chen; Dragan Gasevic (LAK, 2024)

Resilient Automated Distributed Device Scheduling in Smart Grids under False Data Injection Attacks. - Thusitha Dayaratne; Carsten Rudolph; Mahsa Salehi; Ariel Liebman (SmartGridComm, 2024)

Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence. - Mahsa Salehi; Kalin Stefanov; Ehsan Shareghi (CoRR, 2024)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. - Zahra Zamanzadeh Darban; Geoffrey I. Webb; Mahsa Salehi (CoRR, 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., 2024)

Series2vec: similarity-based self-supervised representation learning for time series classification. - Navid Mohammadi Foumani; Chang Wei Tan; Geoffrey I. Webb; Hamid Rezatofighi; Mahsa Salehi (Data Min. Knowl. Discov., 2024)

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. - Navid Mohammadi Foumani; Lynn Miller; Chang Wei Tan; Geoffrey I. Webb; Germain Forestier; Mahsa Salehi (ACM Comput. Surv., 2024)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Xiaokun Xia; Christopher Leckie (ICLR, 2025)

The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. - Ming Jin 005; Mahsa Salehi; Yuxuan Liang; Dongjin Song; Flora Salim; Min Wu 008; Shirui Pan; Qingsong Wen (WWW (Companion Volume), 2025)

CARLA: Self-supervised contrastive representation learning for time series anomaly detection. - Zahra Zamanzadeh Darban; Geoffrey I. Webb; Shirui Pan; Charu C. Aggarwal; Mahsa Salehi (Pattern Recognit., 2025)

Deep Learning for Time Series Anomaly Detection: A Survey. - Zahra Zamanzadeh Darban; Geoffrey I. Webb; Shirui Pan; Charu Aggarwal 001; Mahsa Salehi (ACM Comput. Surv., 2025)

GenIAS: Generator for Instantiating Anomalies in time Series. - Zahra Zamanzadeh Darban; Qizhou Wang 001; Geoffrey I. Webb; Shirui Pan; Charu C. Aggarwal; Mahsa Salehi (CoRR, 2025)

MONSTER: Monash Scalable Time Series Evaluation Repository. - Angus Dempster; Navid Mohammadi Foumani; Chang Wei Tan; Lynn Miller; Amish Mishra; Mahsa Salehi; Charlotte Pelletier; Daniel F. Schmidt; Geoffrey I. Webb (CoRR, 2025)

Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series. - Chang Wei Tan; Matthieu Herrmann; Mahsa Salehi; Geoffrey I. Webb (Data Min. Knowl. Discov., 2025)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. - Zahra Zamanzadeh Darban; Yiyuan Yang; Geoffrey I. Webb; Charu C. Aggarwal; Qingsong Wen; Shirui Pan; Mahsa Salehi (IEEE Trans. Knowl. Data Eng., 2025)