Zahra Zamanzadeh Darban

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105

20222023202420259 87 124 63

Bendraautoriai

Mahsa SalehiSenior Lecturer, Monash UniversityPatvirtintas el. paštas monash.edu
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityPatvirtintas el. paštas monash.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterPatvirtintas el. paštas us.ibm.com
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityPatvirtintas el. paštas griffith.edu.au
M. Hadi ValipourData Science Manager, MablePatvirtintas el. paštas mable.com.au
Gholamreza (Reza) HaffariMonash University and Openstream AIPatvirtintas el. paštas monash.edu
Wray BuntineProfessor, VinUniversityPatvirtintas el. paštas vinuni.edu.vn
ChangWei TanFaculty of Information Technology, Monash UniversityPatvirtintas el. paštas monash.edu
Qingsong Wen (文青松)Head of AI & Chief Scientist @ Squirrel AIPatvirtintas el. paštas gatech.edu
Yiyuan YangHUST | THU | Oxford CSPatvirtintas el. paštas cs.ox.ac.uk
Mohammad Mehdi EbadzadehProfessor, Computer Engineering Department, Amirkabir University of TechnologyPatvirtintas el. paštas aut.ac.ir
Gia-Bao Dinh HoVinUniversityPatvirtintas el. paštas vinuni.edu.vn

Stebėti

Zahra Zamanzadeh Darban

Monash University

Patvirtintas el. paštas monash.edu

Deep Learning Data Mining Time Series Anomaly Detection Graph Neural Network


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Deep learning for time series anomaly detection: A survey Z Zamanzadeh Darban, GI Webb, S Pan, C Aggarwal, M Salehi ACM Computing Surveys, 2024	132	2024
GHRS: Graph-based hybrid recommendation system with application to movie recommendation ZZ Darban, MH Valipour Expert Systems with Applications 200, 116850, 2022	129	2022
CARLA: Self-supervised contrastive representation learning for time series anomaly detection ZZ Darban, GI Webb, S Pan, CC Aggarwal, M Salehi Pattern Recognition, 110874, 2025	21*	2025
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series ZZ Darban, Y Yang, GI Webb, CC Aggarwal, Q Wen, M Salehi arXiv preprint arXiv:2404.11269, 2024	3	2024
Anatomical Model of VOR Using Fuzzy Neural Network Z Zamanzadeh Darban, MM Ebadzadeh Procedia Engineering 41, 561-566, 2012	2	2012
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations GBD Ho, CW Tan, ZZ Darban, M Salehi, G Haffari, W Buntine arXiv preprint arXiv:2409.14801, 2024	1	2024
GenIAS: Generator for Instantiating Anomalies in time Series ZZ Darban, Q Wang, GI Webb, S Pan, CC Aggarwal, M Salehi arXiv preprint arXiv:2502.08262, 2025		2025
GenIAS: Generator for Instantiating Anomalies in time Series Z Zamanzadeh Darban, Q Wang, GI Webb, S Pan, CC Aggarwal, ... arXiv e-prints, arXiv: 2502.08262, 2025		2025
Interval Type-2 Locally Linear Neuro Fuzzy Model Based on Locally Linear Model Tree Z Zamanzadeh Darban, MH Valipour Artificial Intelligence and Soft Computing: 14th International Conference …, 2015		2015
Object Oriented Matrix MEX Wrapper (OOMMW) Pattern for Fast Matrix Computation in Soft Computing Applications K Niki Maleki, MH Valipour, Z Zamanzadeh Darban, ... 2nd World Conference on Information Technology, 2012		2012

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