Anomaly Detection in Categorical Datasets Using Bayesian Networks. - Lida Rashidi; Sattar Hashemi; Ali Hamzeh (AICI (2), 2011)

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring. - Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie; Michele Nati; Alexander Gluhak; Muhammad Ali Imran 001; Marimuthu Palaniswami (ISSNIP, 2014)

An Embedding Scheme for Detecting Anomalous Block Structured Graphs. - Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie (PAKDD (2), 2015)

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. - Lida Rashidi; Andrey Kan; James Bailey 001; Jeffrey Chan; Christopher Leckie; Wei Liu 007; Sutharshan Rajasegarar; Kotagiri Ramamohanarao (ECML/PKDD (2), 2016)

Anomaly detection in large evolving graphs. - Lida Rashidi (2017)

Crowd Activity Change Point Detection in Videos via Graph Stream Mining. - Meng Yang 007; Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie; Aravinda S. Rao; Marimuthu Palaniswami (CVPR Workshops, 2018)

Cluster-Based Crowd Movement Behavior Detection. - Meng Yang 007; Lida Rashidi; Aravinda S. Rao; Sutharshan Rajasegarar; Mohadeseh Ganji; Marimuthu Palaniswami; Christopher Leckie (DICTA, 2018)

Graph Stream Mining Based Anomalous Event Analysis. - Meng Yang 007; Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie (PRICAI (1), 2018)

The Grass is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments. - Kwan Hui Lim 001; Kate E. Lee; Dave Kendal; Lida Rashidi; Elham Naghizade; Stephan Winter 001; Maria Vasardani (WWW (Companion Volume), 2018)

Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation. - Jia Wang; Yungang Feng; Elham Naghizade; Lida Rashidi; Kwan Hui Lim 001; Kate E. Lee (WWW (Companion Volume), 2018)

A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]. - Mahsa Salehi; Lida Rashidi (SIGKDD Explor., 2018)

Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. - Tahrima Hashem; Lida Rashidi; James Bailey 001; Lars Kulik (SISAP, 2019)

Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures. - Justin Zobel; Lida Rashidi (CIKM, 2020)

PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. - Tahrima Hashem; Lida Rashidi; Lars Kulik; James Bailey 001 (Data Knowl. Eng., 2020)

Evaluating the Predictivity of IR Experiments. - Lida Rashidi; Justin Zobel; Alistair Moffat (SIGIR, 2021)

Assessment of the Quality of Topic Models for Information Retrieval Applications. - Meng Yuan; Pauline Lin; Lida Rashidi; Justin Zobel (ICTIR, 2023)

Query Variability and Experimental Consistency: A Concerning Case Study. - Lida Rashidi; Justin Zobel; Alistair Moffat (ICTIR, 2024)

The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. - Lida Rashidi; Justin Zobel; Alistair Moffat (ACM Trans. Inf. Syst., 2024)