Search Results - "Japkowicz, Nathalie"

Machine-generated Text: A Comprehensive Survey of Threat Models and Detection Methods by Crothers, Evan, Japkowicz, Nathalie, Viktor, Herna L.

“…Machine-generated text is increasingly difficult to distinguish from text authored by humans. Powerful open-source models are freely available, and…”
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Boosting support vector machines for imbalanced data sets by Wang, Benjamin X., Japkowicz, Nathalie

“…Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class…”
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Framework for extreme imbalance classification: SWIM—sampling with the majority class by Bellinger, Colin, Sharma, Shiven, Japkowicz, Nathalie, Zaïane, Osmar R.

“…The class imbalance problem is a pervasive issue in many real-world domains. Oversampling methods that inflate the rare class by generating synthetic data are…”
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Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights by Faber, Kamil, Corizzo, Roberto, Sniezynski, Bartlomiej, Japkowicz, Nathalie

“…Anomaly detection is of paramount importance in many real-world domains characterized by evolving behavior, such as monitoring cyber-physical systems, human…”
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ECHAD: embedding-based change detection from multivariate time series in smart grids by Ceci, Michelangelo, Corizzo, Roberto, Japkowicz, Nathalie, Mignone, Paolo, Pio, Gianvito

“…Smart grids are power grids where clients may actively participate in energy production, storage and distribution. Smart grid management raises several…”
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A Multiple Resampling Method for Learning from Imbalanced Data Sets by Estabrooks, Andrew, Jo, Taeho, Japkowicz, Nathalie

“…Resampling methods are commonly used for dealing with the class‐imbalance problem. Their advantage over other methods is that they are external and thus,…”
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Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables by Zhang, Liming, Zhang, Wenbin, Japkowicz, Nathalie

“…Recognizing human activities from multi-channel time series data collected from wearable sensors has become an important practical application of machine…”
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Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set by Yang, Zhao, Japkowicz, Nathalie

“…In this paper, we propose a framework for processing and analysing large-scale spatio-temporal data that uses a battery of machine learning methods based on a…”
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Fuzzy String Matching with a Deep Neural Network by Shapiro, Daniel, Japkowicz, Nathalie, Lemay, Mathieu, Bolic, Miodrag

“…A deep learning neural network for character-level text classification is described in this work. The system spots keywords in the text output of an optical…”
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Threaded ensembles of autoencoders for stream learning by Dong, Yue, Japkowicz, Nathalie

“…Anomaly detection in streaming data is an important problem in numerous application domains. Most existing model‐based approaches to stream learning are based…”
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Manifold-based synthetic oversampling with manifold conformance estimation by Bellinger, Colin, Drummond, Christopher, Japkowicz, Nathalie

“…Classification domains such as those in medicine, national security and the environment regularly suffer from a lack of training instances for the class of…”
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Scalable auto-encoders for gravitational waves detection from time series data by Corizzo, Roberto, Ceci, Michelangelo, Zdravevski, Eftim, Japkowicz, Nathalie

“…•Deep learning approaches to analyze time series from Gravitational Waves detectors.•Autoencoders are trained with one-class data for feature extraction and…”
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CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection by Corizzo, Roberto, Baron, Michael, Japkowicz, Nathalie

“…Lifelong learning addresses the challenge of acquiring new knowledge and tackling new tasks in a continually evolving environment. Although this thread of…”
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Introduction to the Special Issue on Data Mining for Cybersecurity by Japkowicz, Nathalie, Elovici, Yuval

“…Data mining techniques that explore data in order to discover hidden patterns and develop predictive models have proven to be effective in tackling information…”
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VLAD: Task-agnostic VAE-based lifelong anomaly detection by Faber, Kamil, Corizzo, Roberto, Sniezynski, Bartlomiej, Japkowicz, Nathalie

“…Lifelong learning represents an emerging machine learning paradigm that aims at designing new methods providing accurate analyses in complex and dynamic…”
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Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets by Malondkar, Ameya, Corizzo, Roberto, Kiringa, Iluju, Ceci, Michelangelo, Japkowicz, Nathalie

“…The Growing Hierarchical Self-Organizing Map (GHSOM) algorithm has shown its potential for performing several tasks such as exploratory analysis, anomaly…”
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Special issue on discovery science by Japkowicz, Nathalie, Matwin, Stan

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Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework by Taylor, Adrian, Leblanc, Sylvain, Japkowicz, Nathalie

“…Modern automobiles are controlled by computers that are increasingly connected to the outside world and therefore vulnerable to cyberattacks. Defending cars…”
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The class imbalance problem in deep learning by Ghosh, Kushankur, Bellinger, Colin, Corizzo, Roberto, Branco, Paula, Krawczyk, Bartosz, Japkowicz, Nathalie

“…Deep learning has recently unleashed the ability for Machine learning (ML) to make unparalleled strides. It did so by confronting and successfully addressing,…”
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Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data by Corizzo, Roberto, Ceci, Michelangelo, Japkowicz, Nathalie

“…The increasing presence of geo-distributed sensor networks implies the generation of huge volumes of data from multiple geographical locations at an increasing…”
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