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Petko Valtchev

Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data

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Jun 27, 2024
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A Rule Mining-Based Advanced Persistent Threats Detection System

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May 20, 2021
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CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams

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Jul 03, 2020
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On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage

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Apr 03, 2018
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Impact of Biases in Big Data

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Mar 02, 2018
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Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations

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Sep 09, 2017
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Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?

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Jul 25, 2017
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The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey

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Jul 25, 2017
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The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study

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Mar 29, 2017
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