Lida Rashidi

Citata da

	Tutte	Dal 2016
Citazioni	178	171
Indice H	7	6
i10-index	4	3

100

20122013201420152016201720182019202020211 1 4 6 2 20 46 92 3

Coautori

Sutharshan RajasegararSchool of Information Technology, Deakin UniversityEmail verificata su unimelb.edu.au
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneEmail verificata su unimelb.edu.au
Kate E. LeeUniversity of MelbourneEmail verificata su unimelb.edu.au
Kwan Hui LimAssistant Professor, Singapore University of Technology and DesignEmail verificata su sutd.edu.sg
Elham NaghizadeRMIT UniversityEmail verificata su rmit.edu.au
dave kendalUniversity of TasmaniaEmail verificata su utas.edu.au
M. PalaniswamiProfessor of Electrical EngineeringEmail verificata su unimelb.edu.au
Mahsa SalehiLecturer in Data Science, Monash UniversityEmail verificata su monash.edu
Maria VasardaniVice Chancellor Research Fellow, Royal Melbourne Institute of Technology (RMIT)Email verificata su rmit.edu.au
Stephan WinterThe University of MelbourneEmail verificata su unimelb.edu.au
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneEmail verificata su unimelb.edu.au
Aravinda S. RaoResearch Fellow, University of MelbourneEmail verificata su unimelb.edu.au
Ali HamzehProfessor, CSE and IT Department, ECE School, Shiraz UniversityEmail verificata su cse.shirazu.ac.ir
Sattar HashemiProfessor of Artificial Intelligence, Shiraz UniversityEmail verificata su shirazu.ac.ir
Michele NatiInternet of Things, Data and Trust Expert, Blockchain TechnologistEmail verificata su iota.org
Muhammad Ali ImranProfessor of Communication Systems - University of GlasgowEmail verificata su glasgow.ac.uk
Alexander GluhakDigital CatapultEmail verificata su digicatapult.org.uk
Abbas KhosravaniIdiap Research Institute, Ecole Polytechnique Fédérale de LausanneEmail verificata su idiap.ch
Kamran B LankaraniDistinguished Professor of Internal Medicine, HPRC,Shiraz University of Medical SciencesEmail verificata su sums.ac.ir
Behnam SabayanHarvard Medical SchoolEmail verificata su mgh.harvard.edu

Lida Rashidi

Postdoctoral Research Fellow, School of Computing and Information Systems, University of Melbourne

Email verificata su unimelb.edu.au

Machine Learning Graph Theory Anomaly Detection Data Mining


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy B Khazaei, S Khatami, SH Alemohammad, L Rashidi, C Wu, K Madani, ... Journal of Hydrology 569, 203-217, 2019	63	2019
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction] M Salehi, L Rashidi ACM SIGKDD Explorations Newsletter 20 (1), 13-23, 2018	34	2018
The grass is greener on the other side: Understanding the effects of green spaces on Twitter user sentiments KH Lim, KE Lee, D Kendal, L Rashidi, E Naghizade, S Winter, ... Companion Proceedings of the The Web Conference 2018, 275-282, 2018	20	2018
Anomaly detection in categorical datasets using bayesian networks L Rashidi, S Hashemi, A Hamzeh International Conference on Artificial Intelligence and Computational …, 2011	10	2011
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring L Rashidi, S Rajasegarar, C Leckie, M Nati, A Gluhak, MA Imran, ... 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor …, 2014	9	2014
Understanding sentiments and activities in green spaces using a social data–driven approach KH Lim, KE Lee, D Kendal, L Rashidi, E Naghizade, Y Feng, J Wang Smart Cities: Issues and Challenges, 77-107, 2019	7	2019
Trends and Applications in Knowledge Discovery and Data Mining H Cao, J Li, R Wang Springer, 2016	7*	2016
Happiness is a choice: sentiment and activity-aware location recommendation J Wang, Y Feng, E Naghizade, L Rashidi, KH Lim, K Lee Companion Proceedings of the The Web Conference 2018, 1401-1405, 2018	6	2018
Presenting a hybrid method in order to predict the2009 pandemic influenza A (H1N1) R Boostani, M Rismanchib, A Khosravani, L Rashidi, S Kouchaki, ... Advanced Computing: An International Journal (ACIJ) 3 (1), 31-43, 2012	4	2012
Crowd activity change point detection in videos via graph stream mining M Yang, L Rashidi, S Rajasegarar, C Leckie, AS Rao, M Palaniswami Proceedings of the IEEE conference on computer vision and pattern …, 2018	3	2018
Hydro-climatic Investigation of Lake Urmia Shrinkage using Remote Sensing B Khazaei, S Khatami, L Rashidi, K Madani American Geophysical Union 2016 Fall Meeting. San Francisco, Calif, 12-16, 2016	3	2016
Node re-ordering as a means of anomaly detection in time-evolving graphs L Rashidi, A Kan, J Bailey, J Chan, C Leckie, W Liu, S Rajasegarar, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016	3	2016
An embedding scheme for detecting anomalous block structured graphs L Rashidi, S Rajasegarar, C Leckie Pacific-Asia Conference on Knowledge Discovery and Data Mining, 215-227, 2015	3	2015
Cluster-based crowd movement behavior detection M Yang, L Rashidi, AS Rao, S Rajasegarar, M Ganji, M Palaniswami, ... 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2018	2	2018
Graph stream mining based anomalous event analysis M Yang, L Rashidi, S Rajasegarar, C Leckie Pacific Rim International Conference on Artificial Intelligence, 891-903, 2018	2	2018
Characteristics of local intrinsic dimensionality (LID) in subspaces: local neighbourhood analysis T Hashem, L Rashidi, J Bailey, L Kulik International Conference on Similarity Search and Applications, 247-264, 2019	1	2019
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II D Phung, VS Tseng, GI Webb, B Ho, M Ganji, L Rashidi Springer, 2018	1	2018
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures J Zobel, L Rashidi Proceedings of the 29th ACM International Conference on Information …, 2020		2020
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity T Hashem, L Rashidi, L Kulik, J Bailey Data & Knowledge Engineering 128, 101833, 2020		2020
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised … M Ganji, L Rashidi, BCM Fung, C Wang Springer, 2018		2018

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