Search Results - "Alegre, Enrique"
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Real-time botnet detection on large network bandwidths using machine learning
Published in Scientific reports (15-03-2023)“…Botnets are one of the most harmful cyberthreats, that can perform many types of cyberattacks and cause billionaire losses to the global economy. Nowadays,…”
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ToRank: Identifying the most influential suspicious domains in the Tor network
Published in Expert systems with applications (01-06-2019)“…•A new dataset for the hidden services in the Tor network with 10K samples.•Statistical analysis for the dataset with useful insights for Law Enforcement…”
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Short text classification approach to identify child sexual exploitation material
Published in Scientific reports (26-09-2023)“…Producing or sharing Child Sexual Exploitation Material (CSEM) is a severe crime that Law Enforcement Agencies (LEAs) fight daily. When the LEA seizes a…”
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Author Correction: Short text classification approach to identify child sexual exploitation material
Published in Scientific reports (19-10-2023)Get full text
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Class distribution estimation based on the Hellinger distance
Published in Information sciences (01-01-2013)“…Class distribution estimation (quantification) plays an important role in many practical classification problems. Firstly, it is important in order to adapt…”
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Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications
Published in Sensors (Basel, Switzerland) (11-08-2020)“…Face recognition is a valuable forensic tool for criminal investigators since it certainly helps in identifying individuals in scenarios of criminal activity…”
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Efficient Detection of Botnet Traffic by Features Selection and Decision Trees
Published in IEEE access (2021)“…Botnets are one of the online threats with the most significant presence, causing billionaire losses to global economies. Nowadays, the increasing number of…”
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PhiKitA: Phishing Kit Attacks dataset for Phishing Websites Identification
Published in IEEE access (01-01-2023)“…Recent studies have shown that phishers are using phishing kits to deploy phishing attacks faster, easier and more massive. Detecting phishing kits in deployed…”
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Rectification and Super-Resolution Enhancements for Forensic Text Recognition
Published in Sensors (Basel, Switzerland) (16-10-2020)“…Retrieving text embedded within images is a challenging task in real-world settings. Multiple problems such as low-resolution and the orientation of the text…”
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Phishing URL Detection: A Real-Case Scenario Through Login URLs
Published in IEEE access (2022)“…Phishing is a social engineering cyberattack where criminals deceive users to obtain their credentials through a login form that submits the data to a…”
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A survey on methods, datasets and implementations for scene text spotting
Published in IET image processing (01-11-2022)“…Text Spotting is the union of the tasks of detection and transcription of the text that is present in images. Due to the various problems often found when…”
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MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
Published in IEEE access (01-01-2023)“…A recent trend in speech processing is the use of embeddings created through machine learning models trained on a specific task with large datasets. By…”
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Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences
Published in Sensors (Basel, Switzerland) (01-03-2019)“…This paper presents a new texture descriptor booster, Complete Local Oriented Statistical Information Booster (CLOSIB), based on statistical information of the…”
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Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments
Published in Sensors (Basel, Switzerland) (25-04-2018)“…Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related…”
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Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models
Published in IEEE access (2021)“…Image representations in the form of neural activations derived from intermediate layers of deep neural networks are the state-of-the-art descriptors for…”
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Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning
Published in Applied sciences (01-01-2021)“…Industrial control systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and…”
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A histological ontology of the human cardiovascular system
Published in Journal of biomedical semantics (02-10-2017)“…In this paper, we describe a histological ontology of the human cardiovascular system developed in collaboration among histology experts and computer…”
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A Systematic Review on Object Localisation Methods in Images
Published in Revista iberoamericana de automática e informática industrial (01-06-2018)“…Currently, many applications require a precise localization of the objects that appear in an image, to later process them. This is the case of visual…”
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Tool wear monitoring using an online, automatic and low cost system based on local texture
Published in Mechanical systems and signal processing (01-11-2018)“…•We present a new approach to categorize the wear of cutting tools.•Our proposal is online, low cost and fast, based on computer vision and machine…”
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Las nuevas localizaciones industriales en el Bajo Gállego (Zaragoza). Efectos en el paisaje desde la década de 1980 = The New Industrial Locations in the Bajo Gállego (Zaragoza). Effects on the Landscape from the Decade of 1980
Published in Espacio, tiempo y forma. revista de la Facultad de Geografía / Serie 6, Geografía (15-06-2017)“…El artículo que presentamos es un análisis diacrónico del paisaje del Bajo Gállego Zaragozano, el de los ayuntamientos mancomunados de Zuera, Villanueva de…”
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