Výsledky vyhledávání - "Jesús Martínez del Rincón"

An automatic complex event processing rules generation system for the recognition of real-time IoT attack patterns

Autor: José Roldán-Gómez, Juan Boubeta-Puig, Javier Carrillo-Mondéjar, Juan Manuel Castelo Gómez, Jesús Martínez del Rincón

Publikováno v: Roldán-Gómez, J, Boubeta-Puig, J, Carrillo-Mondejar, J, Castelo Gomez, C G & Martinez-del-Rincon, J 2023, ' An automatic complex event processing rules generation system for the recognition of real-time IoT attack patterns ', Engineering Applications of Artificial Intelligence, vol. 123, no. B, 106344 . https://doi.org/10.1016/j.engappai.2023.106344

The Internet of Things (IoT) has grown rapidly to become the core of many areas of application, leading to the integration of sensors, with IoT devices. However, the number of attacks against these types of devices has grown as fast as the paradigm i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8141695ebc9ec3e34348d7ec681f5c3
https://pure.qub.ac.uk/en/publications/818c4cce-9f47-4ac1-8f18-d410574c2433

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Optimising vulnerability triage in DAST with deep learning

Autor: Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller

Publikováno v: Millar, S, Podgurskii, D, Kuykendall, D, Martinez-del-Rincon, J & Miller, P 2022, Optimising vulnerability triage in DAST with deep learning . in Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security . AISec: Artificial Intelligence and Security Proceedings, Association for Computing Machinery, pp. 137-147, ACM Workshop on Artificial Intelligence and Security, Los Angeles, United States, 11/11/2022 . https://doi.org/10.1145/3560830.3563724

False positives generated by vulnerability scanners are an industry-wide challenge in web application security. Accordingly, this paper presents a novel multi-view deep learning architecture to optimise Dynamic Application Security Testing (DAST) vul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d81f790485b9f436b6e08ef38b2dead
https://pure.qub.ac.uk/en/publications/d8990b04-b4a0-472f-babe-10320de44618

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Effective identification of distributed energy resources using smart meters net-demand data

Autor: D John Morrow, Javier Lopez Lorente, Andres Felipe Moreno Jaramillo, Aoife Foley, David Laverty, Jesús Martínez del Rincón

Publikováno v: Moreno Jaramillo, A F, Lopez-Lorente, J, Laverty, D M, Martinez-del-Rincon, J, Morrow, D J & Foley, A M 2022, ' Effective identification of distributed energy resources using smart meters net-demand data ', IET Smart Grid, vol. 5, no. 2, pp. 120-135 . https://doi.org/10.1049/stg2.12056

International policies and targets to globally reduce carbon dioxide emissions have contributed to increasing penetration of distributed energy resources (DER) in low-voltage distribution networks. The growth of technologies such as rooftop photovolt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13dcb53c6176ba5d1c38f9384c19a5bb
https://pure.qub.ac.uk/en/publications/c21adc27-0466-449f-b123-42bb11dbf3e3

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Photovoltaic Power Disaggregation using a Non-Intrusive Load Monitoring Regression Model

Autor: Andres Felipe Moreno Jaramillo, Aoife Foley, David Laverty, Ahmed Mohamed, Jesús Martínez del Rincón

Publikováno v: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77f83cef6fa59a86f4eedea4e63b57f2
https://doi.org/10.1109/isgteurope52324.2021.9640183

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Identification of Distributed Energy Resources in Low Voltage Distribution Networks

Autor: Javier Lopez Lorente, Andres Felipe Moreno Jaramillo, Aoife Foley, David Laverty, Jesús Martínez del Rincón

Publikováno v: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f54fcef37bfddac0f976c75b9ea526a3
https://doi.org/10.1109/isgteurope52324.2021.9639971

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Utilising domain transformations in multi-camera re-identification scenarios beyond data augmentation

Autor: Glen Brown, Jesús Martínez del Rincón, Paul Miller

Publikováno v: Brown, G, Martinez del Rincon, J & Miller, P 2020, Utilising domain transformations in multi-camera re-identification scenarios beyond data augmentation . in S Mullery (ed.), 22nd Irish Machine Vision and Image Processing Conference, IMVIP 2020: Proceedings . Irish Pattern Recognition & Classification Society, pp. 133-136, 22nd Irish Machine Vision and Image Processing Conference, Sligo, Ireland, 31/08/2020 .
Queen's University Belfast-PURE

GANs and CycleGANs, such as CamStyle, have proved to be very effective when augmenting multi-camera datasets in re-identification scenarios. They achieve this by transforming the training images into the domain of each camera. However, this learned d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e1cb486e1cc95d9b9981162dc63cbf7
https://pure.qub.ac.uk/en/publications/e3b3fc22-4757-43c8-aae6-07566ae55c93

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Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis (Preprint)

Autor: Mark Ormerod, Jesús Martínez del Rincón, Barry Devereux

BACKGROUND Semantic textual similarity (STS) is a natural language processing (NLP) task that involves assigning a similarity score to 2 snippets of text based on their meaning. This task is particularly difficult in the domain of clinical text, whic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7275aef5c0d0d1a5e79fd9483503074
https://doi.org/10.2196/preprints.23099

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Robustness in Sum-Product Networks with continuous and categorical data

Autor: Rob de Wit, Campos, Cassio P., Diarmaid Conaty, Jesús Martínez del Rincón

Publikováno v: de Wit, R, de Campos, C P, Conaty, D & Martinez del Rincon, J 2019, Robustness in Sum-Product Networks with continuous and categorical data . in International symposium on imprecise probabilities . vol. 103, pp. 156-158, International symposium on imprecise probabilities, Ghent, Belgium, 03/07/2019 . < http://proceedings.mlr.press/v103/de-wit19a.html >
Queen's University Belfast-PURE

Sum-product networks are a popular family of probabilistic graphical models for which marginal inference can be performed in polynomial time. After learning sum-product networks from scarce data, small variations of parameters could lead to different

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f2c07bc8e9a64604eb7942b025d73dfa
https://pure.qub.ac.uk/en/publications/3011e95f-8008-4cef-a7e4-e344dacac524

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A Simple Deep Learning Architecture for City-scale Vehicle Re-identification

Autor: Eleni Kamenou, Paul Miller, Jesús Martínez del Rincón, Patricia Devlin Hill

Publikováno v: Session 2: Deep Learning for Computer Vision
Kamenou, E, Miller, P, Martinez-del-Rincon, J & Devlin Hill, P 2019, ' A simple deep learning architecture for city-scale vehicle re-identification ', Paper presented at 21st Irish Machine Vision and Image Processing Conference, Dublin, Ireland, 28/08/2019-30/08/2019 .
Queen's University Belfast-PURE

The task of vehicle re-identification aims to identify a vehicle across different cameras with non overlapping fields of view and it is a challenging research problem due to viewpoint orientation, scene occlusions and intrinsic inter-class similarity

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae6eeaf1fb83ca2fdcde91106520345
https://arrow.tudublin.ie/context/impstwo/article/1004/viewcontent/solidshp.pdf

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