The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures.
ACM Trans. Inf. Syst., January, 2024
Query Variability and Experimental Consistency: A Concerning Case Study.
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
Assessment of the Quality of Topic Models for Information Retrieval Applications.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023
Evaluating the Predictivity of IR Experiments.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity.
Data Knowl. Eng., 2020
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis.
Proceedings of the Similarity Search and Applications - 12th International Conference, 2019
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction].
SIGKDD Explor., 2018
Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation.
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.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Graph Stream Mining Based Anomalous Event Analysis.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Cluster-Based Crowd Movement Behavior Detection.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Crowd Activity Change Point Detection in Videos via Graph Stream Mining.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Anomaly detection in large evolving graphs.
PhD thesis, 2017
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
An Embedding Scheme for Detecting Anomalous Block Structured Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014
Anomaly Detection in Categorical Datasets Using Bayesian Networks.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011