Lida Rashidi

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Sutharshan RajasegararAssociate Professor, School 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
Kwan Hui LimAssistant Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
Elham NaghizadeSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
dave kendalfuture in nature pty ltdVerified email at futurenature.au
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Meng YangAssociate Professor, Southwest Jiaotong UniversityVerified email at swjtu.edu.cn
Maria VasardaniAureconVerified email at aurecongroup.com
Aravinda S. RaoResearch Fellow, University of MelbourneVerified email at unimelb.edu.au
James BaileyProfessor, School of Computing and Information Systems, 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 NatiWSENSE SRLVerified email at wsense.it
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of GlasgowVerified email at glasgow.ac.uk
Alexander GluhakDigital CatapultVerified email at digicatapult.org.uk
Jeffrey ChanSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Wei LiuUniversity of Technology SydneyVerified email at uts.edu.au
Andrey KanAmazonVerified email at amazon.com
Kamran B LankaraniDistinguished Professor of Internal Medicine, HPRC,Shiraz University of Medical SciencesVerified email at sums.ac.ir
Behnam Sabayan, MD, PhDUniversity of Minnesota-Hennepin Health Research InstituteVerified email at umn.edu

Lida Rashidi

Lecturer, School of Computing Technologies, RMIT University

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Information Retrieval 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	239	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	113	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	47	2018
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	21	2018
Anomaly detection in categorical datasets using bayesian networks L Rashidi, S Hashemi, A Hamzeh Artificial Intelligence and Computational Intelligence: Third International …, 2011	21	2011
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	20	2019
Corpus bootstrapping for assessment of the properties of effectiveness measures J Zobel, L Rashidi Proceedings of the 29th ACM International Conference on Information …, 2020	15	2020
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	12	2018
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	11	2014
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	7	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, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016	7	2016
Evaluating the predictivity of IR experiments L Rashidi, J Zobel, A Moffat Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021	6	2021
Graph stream mining based anomalous event analysis M Yang, L Rashidi, S Rajasegarar, C Leckie PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018	5	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	5	2016
Presenting a hybrid method in order to predict the 2009 pandemic influenza A (H1N1) R Boostani, AK MojtabaRismanchib, SK LidaRashidi, ... Advanced Computing: An International Journal (ACIJ) 3 (1), 31-43, 2012	5	2012
An embedding scheme for detecting anomalous block structured graphs L Rashidi, S Rajasegarar, C Leckie Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015	4	2015
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures L Rashidi, J Zobel, A Moffat ACM Transactions on Information Systems 42 (1), 1-31, 2023	3	2023
Characteristics of local intrinsic dimensionality (LID) in subspaces: local neighbourhood analysis T Hashem, L Rashidi, J Bailey, L Kulik Similarity Search and Applications: 12th International Conference, SISAP …, 2019	2	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	2	2018
Anomaly detection in large evolving graphs. L Rashidi University of Melbourne, Victoria, Australia, 2017	2	2017

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