Lida Rashidi

According to our database, Lida Rashidi authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures.

Lida Rashidi, Justin Zobel, Alistair Moffat

ACM Trans. Inf. Syst., January, 2024

Query Variability and Experimental Consistency: A Concerning Case Study.

Lida Rashidi, Justin Zobel, Alistair Moffat

Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

2023

Assessment of the Quality of Topic Models for Information Retrieval Applications.

Meng Yuan, Pauline Lin, Lida Rashidi, Justin Zobel

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

2021

Evaluating the Predictivity of IR Experiments.

Lida Rashidi, Justin Zobel, Alistair Moffat

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

PRESS: A personalised approach for mining top-k groups of objects with subspace similarity.

Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey

Data Knowl. Eng., 2020

Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures.

Justin Zobel, Lida Rashidi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

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

Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

2018

A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction].

Mahsa Salehi, Lida Rashidi

SIGKDD Explor., 2018

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

Jia Wang, Yungang Feng, Elham Naghizade, Lida Rashidi, Kwan Hui Lim, Kate E. Lee

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

The Grass is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments.

Kwan Hui Lim, Kate E. Lee, Dave Kendal, Lida Rashidi, Elham Naghizade, Stephan Winter, Maria Vasardani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Graph Stream Mining Based Anomalous Event Analysis.

Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Cluster-Based Crowd Movement Behavior Detection.

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

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Crowd Activity Change Point Detection in Videos via Graph Stream Mining.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Anomaly detection in large evolving graphs.

Lida Rashidi

PhD thesis, 2017

2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.

Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

An Embedding Scheme for Detecting Anomalous Block Structured Graphs.

Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

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, Marimuthu Palaniswami

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

2011

Anomaly Detection in Categorical Datasets Using Bayesian Networks.

Lida Rashidi, Sattar Hashemi, Ali Hamzeh

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011