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2020 – today
- 2024
[j3]Lida Rashidi
, Justin Zobel, Alistair Moffat:
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. ACM Trans. Inf. Syst. 42(1): 19:1-19:31 (2024)- [c14]Lida Rashidi, Justin Zobel, Alistair Moffat:
Query Variability and Experimental Consistency: A Concerning Case Study. ICTIR 2024: 35-41 - 2023
- [c13]Meng Yuan, Pauline Lin, Lida Rashidi, Justin Zobel:
Assessment of the Quality of Topic Models for Information Retrieval Applications. ICTIR 2023: 265-274 - 2021
- [c12]Lida Rashidi, Justin Zobel, Alistair Moffat:
Evaluating the Predictivity of IR Experiments. SIGIR 2021: 1667-1671 - 2020
- [j2]Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey:
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. Data Knowl. Eng. 128: 101833 (2020) - [c11]Justin Zobel, Lida Rashidi:
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures. CIKM 2020: 1933-1952
2010 – 2019
- 2019
- [c10]Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik:
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. SISAP 2019: 247-264 - 2018
- [j1]Mahsa Salehi, Lida Rashidi:
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]. SIGKDD Explor. 20(1): 13-23 (2018) - [c9]Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami:
Crowd Activity Change Point Detection in Videos via Graph Stream Mining. CVPR Workshops 2018: 215-223 - [c8]Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie:
Cluster-Based Crowd Movement Behavior Detection. DICTA 2018: 1-8 - [c7]Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
Graph Stream Mining Based Anomalous Event Analysis. PRICAI (1) 2018: 891-903 - [c6]Kwan Hui Lim, Kate E. Lee, Dave Kendal, Lida Rashidi, Elham Naghizade, Stephan Winter, Maria Vasardani:
The Grass is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments. WWW (Companion Volume) 2018: 275-282 - [c5]Jia Wang, Yungang Feng, Elham Naghizade, Lida Rashidi, Kwan Hui Lim, Kate E. Lee:
Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation. WWW (Companion Volume) 2018: 1401-1405 - [e4]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10937, Springer 2018, ISBN 978-3-319-93033-6 [contents] - [e3]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10938, Springer 2018, ISBN 978-3-319-93036-7 [contents] - [e2]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10939, Springer 2018, ISBN 978-3-319-93039-8 [contents] - [e1]Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang:
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. Lecture Notes in Computer Science 11154, Springer 2018, ISBN 978-3-030-04502-9 [contents] - 2017
- [b1]Lida Rashidi:
Anomaly detection in large evolving graphs. University of Melbourne, Victoria, Australia, 2017 - 2016
- [c4]Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178 - 2015
- [c3]Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
An Embedding Scheme for Detecting Anomalous Block Structured Graphs. PAKDD (2) 2015: 215-227 - 2014
- [c2]Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Michele Nati, Alexander Gluhak, Muhammad Ali Imran, Marimuthu Palaniswami:
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring. ISSNIP 2014: 1-7 - 2011
- [c1]Lida Rashidi, Sattar Hashemi, Ali Hamzeh:
Anomaly Detection in Categorical Datasets Using Bayesian Networks. AICI (2) 2011: 610-619
Coauthor Index
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