Lida Rashidi

Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy

Bahram Khazaei, Sina Khatami, Seyed Hamed Alemohammad, Lida Rashidi, Changshan Wu, Kaveh Madani, Zahra Kalantari, Georgia Destouni, Amir Aghakouchak

Journal article  |  2019  |  Journal of Hydrology

Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis

T Hashem, L Rashidi, J Bailey, L Kulik

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Graph stream mining based anomalous event analysis

M Yang, L Rashidi, S Rajasegarar, C Leckie

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2018. A major challenge in video surveillance is how to accurately detect anomalous behavioral pa..

The grass is greener on the other side: understanding the effects of green spaces on Twitter user sentiments

Kwan Hui Lim, K Lee, Dave Kendal, Lida Rashidi, Elham Naghi Zadeh Kakhki, stephan Winter, maria Vasardani

Conference Proceedings  |  2018  |  Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18

Green spaces are believed to improve the well-being of users in urban areas. While there are urban research exploring the emotiona..

Cluster-based Crowd Movement Behavior Detection

Meng Yang, Lida Rashidi, Aravinda S Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2018  |  2018 Digital Image Computing: Techniques and Applications (DICTA)

Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation

Jia Wang, Yungang Feng, elham Naghi Zadeh Kakhki, Lida Rashidi, Kwan hui Lim, K Lee

Conference Proceedings  |  2018

Studying large, widely spread Twitter data has laid the foundation for many novel applications from predicitng natural distasters ..

Crowd Activity Change Point Detection in Videos via Graph Stream Mining

Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S Rao, Marimuthu Palaniswami

Conference Proceedings  |  2018  |  2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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, K Ramamohanarao

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

An Embedding Scheme for Detecting Anomalous Block Structured Graphs

Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring

L RASHIDI, S Rajasegarar, CA Leckie, M Nati, A Gluhak, MA Imran, MS Palaniswami

Conference Proceedings  |  2014  |  Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Anomaly Detection in Categorical Datasets Using Bayesian Networks

Lida Rashidi, Sattar Hashemi, Ali Hamzeh

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)