Lista de obras - Robert F. Harrison - Dominio Público Uruguay

A fast automatic construction algorithm for kernel fisher discriminant classifiers

A multi-class pattern recognition method for motor imagery EEG data

scholarly article published October 2011

A prototype neural network decision-support tool for the early diagnosis of acute myocardial infarction

An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.

artículo científico publicado en 1997

An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements

artículo científico publicado en 1997

Application of autonomous neural network systems to medical pattern classification tasks.

artículo científico publicado en 1997

Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks

artículo científico publicado en 1996

Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation

artículo científico publicado en 2005

Automatic covariate selection in logistic models for chest pain diagnosis: a new approach

artículo científico publicado en 2007

Energy harvesting for remote condition monitoring

Evaluating a neural network decision-support tool for the diagnosis of breast cancer

Evaluation of machine-learning methods for ligand-based virtual screening

artículo científico publicado en 2007

Expression of receptor activator of nuclear factor kappabeta ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations with osteoprotegerin, oestrogen receptor, and clinicopathological

artículo científico publicado en 2006

Free triiodothyronine has a distinct circadian rhythm that is delayed but parallels thyrotropin levels

artículo científico publicado en 2008

Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation.

artículo científico publicado en 2005

Introduction to neural networks

artículo científico publicado en 1995

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration

article

Much of the variation in breast pathology quality assurance data in the UK can be explained by the random order in which cases arrive at individual centres, but some true outliers do exist.

artículo científico publicado en 2011

Ownership and uses of human tissue: what are the opinions of surgical in-patients?

artículo científico publicado en 2008

Recognition of ultra high frequency partial discharge signals using multi-scale features

Supporting decisions in clinical medicine: neural networks in lower gastrointestinal haemorrhage

artículo científico publicado en 2003

Validation of a decision support system for the cytodiagnosis of fine needle aspirates of the breast using a prospectively collected dataset from multiple observers in a working clinical environment

artículo científico publicado en 2000

Virtual screening using binary kernel discrimination: analysis of pesticide data

artículo científico publicado en 2006

Virtual screening using binary kernel discrimination: effect of noisy training data and the optimization of performance

artículo científico publicado en 2006

Visualisation of biomedical datasets by use of growing cell structure networks: a novel diagnostic classification technique

artículo científico publicado en 1999

Lista de obras de Robert F. Harrison

A fast automatic construction algorithm for kernel fisher discriminant classifiers

A multi-class pattern recognition method for motor imagery EEG data

A prototype neural network decision-support tool for the early diagnosis of acute myocardial infarction

An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.

An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements

Application of autonomous neural network systems to medical pattern classification tasks.

Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks

Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation

Automatic covariate selection in logistic models for chest pain diagnosis: a new approach

Energy harvesting for remote condition monitoring

Evaluating a neural network decision-support tool for the diagnosis of breast cancer

Evaluation of machine-learning methods for ligand-based virtual screening

Expression of receptor activator of nuclear factor kappabeta ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations with osteoprotegerin, oestrogen receptor, and clinicopathological

Free triiodothyronine has a distinct circadian rhythm that is delayed but parallels thyrotropin levels

Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation.

Introduction to neural networks

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration

Much of the variation in breast pathology quality assurance data in the UK can be explained by the random order in which cases arrive at individual centres, but some true outliers do exist.

Ownership and uses of human tissue: what are the opinions of surgical in-patients?

Recognition of ultra high frequency partial discharge signals using multi-scale features

Supporting decisions in clinical medicine: neural networks in lower gastrointestinal haemorrhage

Validation of a decision support system for the cytodiagnosis of fine needle aspirates of the breast using a prospectively collected dataset from multiple observers in a working clinical environment

Virtual screening using binary kernel discrimination: analysis of pesticide data

Virtual screening using binary kernel discrimination: effect of noisy training data and the optimization of performance

Visualisation of biomedical datasets by use of growing cell structure networks: a novel diagnostic classification technique