Lida Rashidi
Lida Rashidi
Postdoctoral Research Fellow, School of Computing and Information Systems, University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
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
492019
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
292018
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
202018
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
82014
Anomaly detection in categorical datasets using bayesian networks
L Rashidi, S Hashemi, A Hamzeh
International Conference on Artificial Intelligence and Computational …, 2011
82011
Trends and Applications in Knowledge Discovery and Data Mining
H Wang, J Bailey, VS Tseng, TB Ho, ZH Zhou, ALP Chen
Springer, 2014
72014
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
42018
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
42012
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
32018
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
32016
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
32015
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
22019
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
22018
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
22018
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
22016
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
12019
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
12018
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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Articles 1–20