Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ian H Jarman"'
Autor:
Raúl Vicente Casaña-Eslava, Sandra Ortega-Martorell, Paulo J Lisboa, Ana Paula Candiota, Margarida Julià-Sapé, José David Martín-Guerrero, Ian H Jarman
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0235057 (2020)
The aim of the paper is two-fold. First, we show that structure finding with the PC algorithm can be inherently unstable and requires further operational constraints in order to consistently obtain models that are faithful to the data. We propose a m
Externí odkaz:
https://doaj.org/article/8c6c2411cbf243ce9cacf2698ea40b47
Autor:
Sandra Ortega-Martorell, Héctor Ruiz, Alfredo Vellido, Iván Olier, Enrique Romero, Margarida Julià-Sapé, José D Martín, Ian H Jarman, Carles Arús, Paulo J G Lisboa
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83773 (2013)
BackgroundThe clinical investigation of human brain tumors often starts with a non-invasive imaging study, providing information about the tumor extent and location, but little insight into the biochemistry of the analyzed tissue. Magnetic Resonance
Externí odkaz:
https://doaj.org/article/cad2e552d41c4d049216a0d24458c15f
Autor:
Ian H. Jarman, Raul V. Casana-Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, José D. Martín-Guerrero
Publikováno v:
Neural Computing and Applications. 33:7521-7539
Probabilistic classifiers induce a similarity metric at each location in the space of the data. This is measured by the Fisher Information Matrix. Pairwise distances in this Riemannian space, calculated along geodesic paths, can be used to generate a
Autor:
Sotiris K. Tasoulis, Joseph Leedale, Daniel J. Antoine, Ian H. Jarman, Steven D. Webb, Chantelle L. Mason
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology. 7:394-403
Paracetamol (acetaminophen (APAP)) is one of the most commonly used analgesics in the United Kingdom and the United States. However, exceeding the maximum recommended dose can cause serious liver injury and even death. Promising APAP toxicity biomark
Publikováno v:
Neurocomputing. 268:127-141
Quantum Clustering (QC) provides an alternative approach to clustering algorithms, several of which are based on geometric relationships between data points. Instead, QC makes use of quantum mechanics concepts to find structures (clusters) in data se
Autor:
Raul V. Casana-Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José D. Martín-Guerrero, Sandra Ortega-Martorell
Publikováno v:
IJCNN
This paper focuses on the scalability of the Fisher Information manifold by applying techniques of distributed computing. The main objective is to investigate methodologies to improve two bottlenecks associated with the measurement of distances in a
Autor:
Ian H. Jarman, Paulo J. G. Lisboa, Philippa Grace McCabe, Ivan Olier, Sandra Ortega-Martorell, Vasilios Baltzopoulos
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2019 ISBN: 9783030336165
IDEAL (2)
IDEAL (2)
This case study benchmarks a range of statistical and machine learning methods relevant to computer-based decision support in clinical medicine, focusing on the diagnosis of knee osteoarthritis at first presentation. The methods, comprising logistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1461f25c58cc07ae1aef54b997bd6de2
https://doi.org/10.1007/978-3-030-33617-2_13
https://doi.org/10.1007/978-3-030-33617-2_13
Autor:
Raul V. Casana-Eslava, Ian H. Jarman, José D. Martín-Guerrero, Paulo J. G. Lisboa, Sandra Ortega-Martorell
Publikováno v:
Knowledge-Based Systems. 194:105567
Quantum Clustering is a powerful method to detect clusters with complex shapes. However, it is very sensitive to a length parameter that controls the shape of the Gaussian kernel associated with a wave function, which is employed in the Schrodinger e
Autor:
Jatin G. Burniston, Ian H. Jarman, Yi-Wen Chen, Steven L. Britton, Donna Gray, Jenna Kenyani, James N. Cobley, Lauren G. Koch, Jonathan M. Wastling, Eleonora Guadagnin, Paulo J. G. Lisboa, Daniel J. Cuthbertson
Publikováno v:
Journal of proteomics
UNLABELLED: Profiling of protein species is important because gene polymorphisms, splice variations and post-translational modifications may combine and give rise to multiple protein species that have different effects on cellular function. Two-dimen
Publikováno v:
Neurocomputing. 112:79-91
Measures of similarity are fundamental in pattern recognition and data mining. Typically the Euclidean metric is used in this context, weighting all variables equally and therefore assuming equal relevance, which is very rare in real applications. In