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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Springer Science+Business Media, LLC, 2022)
Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...
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The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance 

Zurutuza, Urko (River Publishers, 2018)
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The Way Cyber Physical Systems Will Revolutionise Maintenance 

Zurutuza, Urko (CISTER Research Center, 2017)
The way maintenance is carried out is altering rapidly. The introduction of Cyber Physical Systems (CPS) and cloud technologies are providing new technological possibilities that change dramatically the way it is possible ...
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A study of the personalization of spam content using Facebook public information 

Ezpeleta Gallastegi, Enaitz; Zurutuza, Urko (Oxford University Press, 2017)
Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...
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SDRS: A new lossless dimensionality reduction for text corpora 

Velez de Mendizabal Gonzalez, Iñaki; Ezpeleta Gallastegi, Enaitz; Zurutuza, Urko (Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
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Introduction 

Zurutuza, Urko (River Publishers, 2018)
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Data minig approaches for analysis of worm activity toward automatic signature generation 

Zurutuza, Urko (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)
En esta tesis se propone un marco para el análisis de tráfico no solicitado (como intentos de propagación de gusanos informáticos) recopilados por un sistema de monitorización de red. El análisis de esta información puede ...
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Providing Proactiveness: Data Analysis Techniques Portfolios 

Zugasti, Ekhi; Zurutuza, Urko (River Publishers, 2018)
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Short Messages Spam Filtering Using Sentiment Analysis 

Ezpeleta Gallastegi, Enaitz; Zurutuza, Urko (Springer International Publishing, 2016)
In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ...

Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Taylor and Francis, 2022)
The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery 

Serradilla Casado, Oscar; Zugasti, Ekhi; Cernuda García, Carlos; Zurutuza, Urko (IEEE, 2020)
This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ...
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Success Stories on Real Pilots 

Zurutuza, Urko; Zugasti, Ekhi; Larrinaga, Felix (River Publishers, 2018)
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Cyber Physical System Based Proactive Collaborative Maintenance 

Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent ...
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Detection and Visualization of Android Malware Behavior 

Zurutuza, Urko; Uribeetxeberria, Roberto (Hindawi Publishing Corporation, 2016)
Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious ...
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Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis 

Ezpeleta Gallastegi, Enaitz; Garitano, Iñaki; Zurutuza, Urko (World Scientific Publishing, 2017)
Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ...
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A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection 

Ezpeleta Gallastegi, Enaitz; Iturbe Urretxa, Mikel; Garitano, Iñaki; Velez de Mendizabal Gonzalez, Iñaki; Zurutuza, Urko (Springer, 2018)
In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ...
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On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control 

Iturbe Urretxa, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous ...
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Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance 

Larrinaga, Felix; Garitano, Iñaki; Zugasti, Ekhi; Zurutuza, Urko (2018)
This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ...
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A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance 

Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019)
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Zurutuza, Urko (27)
Zugasti, Ekhi (9)Garitano, Iñaki (8)Ezpeleta Gallastegi, Enaitz (5)Iturbe Urretxa, Mikel (5)Uribeetxeberria, Roberto (4)Larrinaga, Felix (3)Serradilla, Oscar (3)Velez de Mendizabal Gonzalez, Iñaki (2)Andonegui, Imanol (1)... View MoreSubjectCyber Physical Systems CPS (4)predictive maintenance (4)security (4)spam (4)anomaly detection (2)Condition based maintenance CBM (2)domain knowledge (2)Explainable Artificial Intelligence (2)Industrial control systems (2)Industry 4.0. (2)... View MoreDate Issued2020 - 2022 (6)2010 - 2019 (20)2007 - 2009 (1)Has File(s)Yes (27)

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