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06/22/2023
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
Change detection is of fundamental importance when analyzing data stream...
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06/12/2023
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals
We study the stochastic Budgeted Multi-Armed Bandit (MAB) problem, where...
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05/25/2022
Scalable Online Change Detection for High-dimensional Data Streams
Detecting changes in data streams is a core objective in their analysis ...
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12/25/2021
Pedagogical Rule Extraction for Learning Interpretable Models
Machine-learning models are ubiquitous. In some domains, for instance, i...
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11/13/2020
Efficient Subspace Search in Data Streams
In the real world, data streams are ubiquitous – think of network traffi...
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09/29/2020
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary
Support Vector Data Description (SVDD) is a popular one-class classifier...
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06/05/2020
Generating Artificial Outliers in the Absence of Genuine Ones – a Survey
By definition, outliers are rarely observed in reality, making them diff...
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05/25/2020
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization
Human Activity Recognition (HAR) from devices like smartphone accelerome...
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04/15/2020
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
Benchmarking unsupervised outlier detection is difficult. Outliers are r...
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12/04/2019
Active Learning of SVDD Hyperparameter Values
Support Vector Data Description is a popular method for outlier detectio...
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10/03/2019
Scenario Discovery via Rule Extraction
Scenario discovery is the process of finding areas of interest, commonly...
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10/04/2018
Monte Carlo Dependency Estimation
Estimating the dependency of variables is a fundamental task in data ana...
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08/14/2018