Lida Rashidi

26 papers A* 1A 2B 1Misc 3Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition.
CoRR
Kun Ran, Marwah Alaofi, Danula Hettiachchi, Chenglong Ma, Khoi Nguyen Dinh Anh, Khoi Vo Nguyen, Sachin Pathiyan Cherumanal, Lida Rashidi, Falk Scholer, Damiano Spina, Shuoqi Sun, Oleg Zendel
2025 A conf
A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries.
CIKM
Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, Mark Sanderson
2025 J jnl
Exploring Embedding Interpretability by Correspondences Between Topic Models and Text Embeddings.
Inf. Retr. Res. J.
Meng Yuan, Lida Rashidi, Justin Zobel
2025 J jnl
Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025).
SIGIR Forum
Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2024 Misc conf
Query Variability and Experimental Consistency: A Concerning Case Study.
ICTIR
Lida Rashidi, Justin Zobel, Alistair Moffat
2024 J jnl
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures.
ACM Trans. Inf. Syst.
Lida Rashidi, Justin Zobel, Alistair Moffat
2023 Misc conf
Assessment of the Quality of Topic Models for Information Retrieval Applications.
ICTIR
Meng Yuan, Pauline Lin, Lida Rashidi, Justin Zobel
2021 A* conf
Evaluating the Predictivity of IR Experiments.
SIGIR
Lida Rashidi, Justin Zobel, Alistair Moffat
2020 A conf
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures.
CIKM
Justin Zobel, Lida Rashidi
2020 J jnl
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity.
Data Knowl. Eng.
Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey
2019 B conf
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis.
SISAP
Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik
2018 J jnl
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction].
SIGKDD Explor.
Mahsa Salehi, Lida Rashidi
2018 — ed.
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
PAKDD (1)
Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018 — ed.
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II
PAKDD (2)
Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018 — ed.
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
PAKDD (3)
Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
2018 Misc conf
Cluster-Based Crowd Movement Behavior Detection.
DICTA
Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie
2018 — conf
Crowd Activity Change Point Detection in Videos via Graph Stream Mining.
CVPR Workshops
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami
2018 — conf
Graph Stream Mining Based Anomalous Event Analysis.
PRICAI (1)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
2018 — conf
Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation.
WWW (Companion Volume)
Jia Wang, Yungang Feng, Elham Naghizade, Lida Rashidi, Kwan Hui Lim, Kate E. Lee
2018 — conf
The Grass is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments.
WWW (Companion Volume)
Kwan Hui Lim, Kate E. Lee, Dave Kendal, Lida Rashidi, Elham Naghizade, Stephan Winter, Maria Vasardani
2018 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers
PAKDD (Workshops)
Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang
2017 — —
Anomaly detection in large evolving graphs.
Lida Rashidi
2016 — conf
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
ECML/PKDD (2)
Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
2015 — conf
An Embedding Scheme for Detecting Anomalous Block Structured Graphs.
PAKDD (2)
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
2014 — conf
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring.
ISSNIP
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Michele Nati, Alexander Gluhak, Muhammad Ali Imran, Marimuthu Palaniswami
2011 — conf
Anomaly Detection in Categorical Datasets Using Bayesian Networks.
AICI (2)
Lida Rashidi, Sattar Hashemi, Ali Hamzeh