Lida Rashidi
Lida Rashidi
Postdoctoral Research Fellow, School of Computing and Information Systems, University of Melbourne
Verified email at
Cited by
Cited by
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
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
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
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
Anomaly detection in categorical datasets using bayesian networks
L Rashidi, S Hashemi, A Hamzeh
Artificial Intelligence and Computational Intelligence: Third International …, 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
Corpus bootstrapping for assessment of the properties of effectiveness measures
J Zobel, L Rashidi
Proceedings of the 29th ACM International Conference on Information …, 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
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
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
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
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
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
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
Evaluating the predictivity of IR experiments
L Rashidi, J Zobel, A Moffat
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
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
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
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
Anomaly detection in large evolving graphs.
L Rashidi
University of Melbourne, Victoria, Australia, 2017
Assessment of the Quality of Topic Models for Information Retrieval Applications
M Yuan, P Lin, L Rashidi, J Zobel
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