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2020 – today
- 2025
[j11]Zahra Zamanzadeh Darban
, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi:
Deep Learning for Time Series Anomaly Detection: A Survey. ACM Comput. Surv. 57(1): 15:1-15:42 (2025)- [j10]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
CARLA: Self-supervised contrastive representation learning for time series anomaly detection. Pattern Recognit. 157: 110874 (2025) - 2024
- [j9]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): 217:1-217:45 (2024) - [j8]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): 22-48 (2024) - [j7]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): 2520-2544 (2024) - [c28]Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine:
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. ACL (Short Papers) 2024: 314-326 - [c27]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: 5544-5555 - [c26]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: 701-712 - [c25]Thusitha Dayaratne, Carsten Rudolph, Mahsa Salehi, Ariel Liebman:
Resilient Automated Distributed Device Scheduling in Smart Grids under False Data Injection Attacks. SmartGridComm 2024: 541-547 - [i19]Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi:
Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence. CoRR abs/2402.14982 (2024) - [i18]Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi:
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. CoRR abs/2402.17772 (2024) - [i17]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Mahsa Salehi:
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. CoRR abs/2404.11269 (2024) - [i16]Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine:
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. CoRR abs/2409.14801 (2024) - 2023
- [c24]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI 2023: 4676-4684 - [c23]Yueyi Ge, Ingrid Zukerman, Mahsa Salehi, Mor Vered:
Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors. PKDD/ECML Workshops (4) 2023: 336-344 - [i15]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 abs/2302.02515 (2023) - [i14]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 abs/2304.05800 (2023) - [i13]Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi:
Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR abs/2305.16642 (2023) - [i12]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi:
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR abs/2308.09296 (2023) - [i11]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR abs/2311.06835 (2023) - [i10]Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi:
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR abs/2312.03998 (2023) - [i9]Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi:
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks. CoRR abs/2312.08646 (2023) - 2022
- [j6]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): 566-619 (2022) - [j5]Chang How Tan, Vincent C. S. Lee, Mahsa Salehi:
Information resources estimation for accurate distribution-based concept drift detection. Inf. Process. Manag. 59(3): 102911 (2022) - [c22]Thusitha Dayaratne, Mahsa Salehi, Carsten Rudolph, Ariel Liebman:
False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids. DSN 2022: 367-380 - [c21]Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb:
Extremely Fast Hoeffding Adaptive Tree. ICDM 2022: 319-328 - [c20]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: 17-29 - [i8]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
Deep Learning for Time Series Anomaly Detection: A Survey. CoRR abs/2211.05244 (2022) - [i7]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR abs/2212.01096 (2022) - 2021
- [j4]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): 450-504 (2021) - [c19]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: 41-52 - [c18]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: 312-321 - [c17]Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi:
Disjoint-CNN for Multivariate Time Series Classification. ICDM (Workshops) 2021: 760-769 - 2020
- [j3]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): 2651-2662 (2020) - [c16]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: 424-431 - [c15]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: 294-298 - [c14]Thusitha Dayaratne, Carsten Rudolph, Ariel Liebman, Mahsa Salehi:
Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids. NOMS 2020: 1-9 - [i6]Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar:
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. CoRR abs/2004.11839 (2020) - [i5]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet:
Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR abs/2010.08199 (2020) - [i4]Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An Eager Splitting Strategy for Online Decision Trees. CoRR abs/2010.10935 (2020)
2010 – 2019
- 2019
- [c13]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: 1-5 - [i3]Chang How Tan, Vincent C. S. Lee, Mahsa Salehi:
Online Semi-Supervised Concept Drift Detection with Density Estimation. CoRR abs/1909.11251 (2019) - [i2]Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu:
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets. CoRR abs/1911.05927 (2019) - 2018
- [j2]Mahsa Salehi, Lida Rashidi:
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]. SIGKDD Explor. 20(1): 13-23 (2018) - [c12]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi:
Extremely Fast Decision Tree. KDD 2018: 1953-1962 - [c11]Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi:
Online Clustering for Evolving Data Streams with Online Anomaly Detection. PAKDD (2) 2018: 508-521 - [c10]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: 269-284 - [i1]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi:
Extremely Fast Decision Tree. CoRR abs/1802.08780 (2018) - 2017
- [c9]Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi:
An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. GLOBECOM 2017: 1-6 - [c8]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). ICDE 2017: 51-52 - [c7]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: 4:1-4:6 - 2016
- [j1]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): 3246-3260 (2016) - [c6]Laura Irina Rusu, Hoang Tam Vo, Ziyuan Wang, Mahsa Salehi, Anna Phan:
Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks. ADC 2016: 457-461 - [c5]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: 469-481 - [c4]Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan:
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. KDD 2016: 245-254 - 2015
- [b1]Mahsa Salehi:
Anomaly detection in data streams: challenges and techniques. University of Melbourne, Australia, 2015 - [c3]Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie:
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. CIKM 2015: 1827-1830 - [c2]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: 1-6 - 2014
- [c1]Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan:
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. PAKDD (2) 2014: 461-473
Coauthor Index
aka: Seyed Navid Mohammadi Foumani
aka: Christopher A. Leckie
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last updated on 2025-01-26 23:50 CET by the dblp team
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