Search Results - "Iglesias Perez, Sergio" :: K.UTB vyhledávací portál

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Increasing the Effectiveness of Network Intrusion Detection Systems (NIDSs) by Using Multiplex Networks and Visibility Graphs

by Iglesias Perez, Sergio, Criado, Regino
Published in Mathematics (Basel) (01.01.2023)

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Journal Article

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A new approach to combine multiplex networks and time series attributes: Building intrusion detection systems (IDS) in cybersecurity

by Iglesias Pérez, Sergio, Moral-Rubio, Santiago, Criado, Regino
Published in Chaos, solitons and fractals (01.09.2021)

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Journal Article

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Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering

by Wedge, Roy, Kanter, James Max, Veeramachaneni, Kalyan, Rubio, Santiago Moral, Perez, Sergio Iglesias
Published in Machine Learning and Knowledge Discovery in Databases

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Book Chapter

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Combining multiplex networks and time series: A new way to optimize real estate forecasting in New York using cab rides

by Pérez, Sergio Iglesias, Moral-Rubio, Santiago, Criado, Regino
Published in Physica A (01.01.2023)

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Journal Article

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Temporal metagraph: A new mathematical approach to capture temporal dependencies and interactions between different entities over time

by Iglesias-Perez, Sergio, Criado, Regino
Published in Chaos, solitons and fractals (01.10.2023)

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Journal Article

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Solving the "false positives" problem in fraud prediction

by Wedge, Roy, Kanter, James Max, Rubio, Santiago Moral, Perez, Sergio Iglesias, Veeramachaneni, Kalyan
Year of Publication 20.10.2017

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Journal Article

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Solving the "false positives" problem in fraud prediction

by Wedge, Roy, Kanter, James Max, Santiago Moral Rubio, Sergio Iglesias Perez, Veeramachaneni, Kalyan
Published in arXiv.org (20.10.2017)

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Paper

Increasing the Effectiveness of Network Intrusion Detection Systems (NIDSs) by Using Multiplex Networks and Visibility Graphs

A new approach to combine multiplex networks and time series attributes: Building intrusion detection systems (IDS) in cybersecurity

Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering

Combining multiplex networks and time series: A new way to optimize real estate forecasting in New York using cab rides

Temporal metagraph: A new mathematical approach to capture temporal dependencies and interactions between different entities over time

Solving the "false positives" problem in fraud prediction

Solving the "false positives" problem in fraud prediction

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