Mahsa Salehi - RankMe

70 papers A* 7A 3B 2Misc 1Journal 37Unranked 19

Year	Rank	Type	Title / 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