Lida Rashidi

Cited by

	All	Since 2016
Citations	174	168
h-index	7	6
i10-index	4	3

20122013201420152016201720182019202020211 1 4 8 2 20 46 87 3

Co-authors

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

Lida Rashidi

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

Verified email at unimelb.edu.au

Machine Learning Graph Theory Anomaly Detection Data Mining


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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	61	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	32	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	21	2018
Anomaly detection in categorical datasets using bayesian networks L Rashidi, S Hashemi, A Hamzeh International Conference on Artificial Intelligence and Computational …, 2011	11	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	8	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 Wang, J Bailey, VS Tseng, TB Ho, ZH Zhou, ALP Chen Springer, 2014	7	2014
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 Rismanchi, A Khosravani, L Rashidi, S Kouchaki, ... Advanced Computing 3 (1), 31, 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
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
Hydro-climatic Investigation of Lake Urmia Shrinkage using Remote Sensing B Khazaei, S Khatami, L Rashidi, K Madani Abstract [H51H-1629] presented at 2016 Fall Meeting, AGU, San Francisco …, 2016	2	2016
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, 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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