Buch, Englisch, 334 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1090 g
Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13¿16 May 2000
Buch, Englisch, 334 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1090 g
Reihe: Perspectives in Neural Computing
ISBN: 978-1-85233-289-1
Verlag: Springer
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
Weitere Infos & Material
Invited Presentations.- Protein ?-Sheet Partner Prediction by Neural Networks.- ART Neural Networks for Medical Data Analysis and Fast Distributed Learning.- Modelling Uncertainty in Biomedical Applications of Neural Networks.- Neural Computation in Medicine: Perspectives and Prospects.- Discriminating Gourmets, Lovers and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches.- An Unsupervised Learning Method that Produces Organized Representations from Real Information.- On Forgetful Attractor Network Memories.- Outstanding Issues for Clinical Decision Support with Neural Networks.- Medical Image Analysis.- Cancerous Liver Tissue Differentiation Using LVQ.- Quantification of Diabetic Retinopathy Using Neural Networks and Sensitivity Analysis.- Internet Based Artificial Neural Networks for the Interpretation of Medical Images.- Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Network.- Applications of Optimizing Neural Networks in Medical Image Registration.- A Learning by Sample Approach for the Detection of Features in Medical Images.- Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensions.- Signal Processing in Medicine.- Mutual Control Neural Networks for Sleep Arousal Detection.- Extraction of Sleep-Spindles from the Electroencephalogram (EEG).- Analyzing Brain Tumor Related EEG Signals with ICA Algorithms.- Isolating Seizure Activity in the EEG with Independent Component Analysis.- Seizure Detection with the Self-Organising Feature Map.- Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps.- Clinical Diagnosis and Medical Decision Support.- Neural Network Predictions of Outcome from Posteroventral Pallidotomy.- SurvivalAnalysis: A Neural-Bayesian Approach.- Identifying Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Technique.- Classifying Pigmented Skin Lesions with Machine Learning Methods.- An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks.- A New Artificial Neural Network Method for the Interpretation of ECGs.- Use of a Kohonen Neural Network to Characterize Respiratory Patients for Medical Intervention.- Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networks.- Artificial Neural Networks to Predict Postoperative Nausea and Vomiting.- Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks.- Bayesian Neural Networks Used to Find Adverse Drug Combinations and Drug Related Syndromes.- Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps.- Biomolecular Applications and Biological Modelling.- Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesia.- A Hybrid Classification Tree and Artificial Neural Network Model for Predicting the In Vitro Response of the Human Immunodeficiency Virus (HIV1) to Anti-Viral Drug Therapy.- Neural Unit Sensitive to Modulation.- On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracy.- A Simulation Model for Activated Sludge Process Using Fuzzy Neural Network.- A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction.- A Three-Neuron Model of Information Processing During Bayesian Foraging.- Sensorimotor Sequential Learning by a Neural Network Based onRedefined Hebbian Learning.- On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release.- Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Images.- Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibiton of Renshaw Cells.- Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D-QSAR Study.- Learning Methods and Hybrid Algorithms.- Case-Based Explanation for Artificial Neural Nets.- Double Growing Neural Gas for Disease Diagnosis.- The Use of a Knowledge Discovery Method for the Development of a Multi-Layer Perceptron Network that Classifies Low Back Pain Patients.- Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance.- Particle Swarm Optimisation in Feedforward Neural Network.- Author Index.