| Title Page | 2 |
|---|
| Preface | 6 |
|---|
| Organization | 7 |
|---|
| Contents | 9 |
|---|
| Comparing Time Series through Event Clustering | 13 |
|---|
| Introduction | 13 |
| Related Work | 15 |
| Proposed Method | 16 |
| Results | 19 |
| Conclusions | 20 |
| References | 20 |
| Visual Knowledge-Based Metaphors to Support the Analysis of Polysomnographic Recordings | 22 |
|---|
| Introduction | 22 |
| Prior Definitions | 23 |
| Providing Support for the Identification of Apneas and Hypopneas | 24 |
| The Algorithm | 25 |
| The Visual Metaphor | 27 |
| Providing Support for the Identification of Desaturations | 27 |
| The Algorithm | 28 |
| The Visual Metaphor | 29 |
| Experimental Results | 29 |
| Discussion | 30 |
| Conclusions | 31 |
| References | 32 |
| A Bio-inspired Proposal for Focus Attention While Preserving Information | 33 |
|---|
| Introduction: The Problem of Visual Attention | 33 |
| Computational Aspects of the Visual Attention Process | 34 |
| Layered Computation | 34 |
| Presynaptic Inhibition Schemes | 35 |
| Convergence and Divergence of Information Process | 36 |
| Complete Transforms | 36 |
| The Proposed Model: Focus Attention While Preserving Information | 37 |
| Conclusions | 40 |
| References | 40 |
| Modelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks | 42 |
|---|
| Introduction | 42 |
| Modelling Fermentation Processes | 43 |
| Description of the Computational Tools | 44 |
| Methodology | 44 |
| White Box Interface | 45 |
| Grey Box Interface | 46 |
| Case Studies | 47 |
| PR Process | 47 |
| Ecoli Process | 47 |
| Methodology | 48 |
| Results | 48 |
| PR | 48 |
| Ecoli | 49 |
| Conclusions and Further Work | 50 |
| References | 50 |
| New Principles and Adequate Control Methods for Insulin Dosage in Case of Diabetes | 52 |
|---|
| Introduction | 52 |
| New Modelling Concepts for Type I Diabetes | 54 |
| Robust Control Methods for Optimal Insulin Dosage in Case of Type I Diabetic Patients | 54 |
| Symbolic Computation-Based Robust Algorithms with $Mathematica$ | 54 |
| References | 55 |
| A Framework for CBR Development and Experimentation with Application to Medical Diagnosis | 57 |
|---|
| Introduction | 57 |
| eXiT*CBR Framework | 58 |
| Pre-processing Module | 60 |
| Retrieve Module | 60 |
| Reuse Module | 60 |
| Revise Module | 61 |
| Retain Module | 61 |
| Experimentation Module | 61 |
| Post-processing Module | 61 |
| eXiT*CBR Functionalities | 62 |
| Application to Breast Cancer Diagnosis | 63 |
| Related Work | 63 |
| Conclusions | 64 |
| References | 65 |
| Identification of Relevant Knowledge for Characterizing the Melanoma Domain | 67 |
|---|
| Introduction | 67 |
| Related Work | 68 |
| Melanoma Framework | 68 |
| Discussion | 70 |
| Conclusions and Further Work | 70 |
| References | 71 |
| TAT-NIDS: An Immune-Based Anomaly Detection Architecture for Network Intrusion Detection | 72 |
|---|
| Introduction | 72 |
| TheTATModel | 74 |
| TAT-Based NIDS | 74 |
| The Framework | 74 |
| The Algorithm | 76 |
| Results | 77 |
| Conclusions | 78 |
| References | 78 |
| Novel Computational Methods for Large Scale Genome Comparison | 80 |
|---|
| Introduction | 80 |
| Multiple Genome Alignment of Closely Related Species | 81 |
| Local Multiple Alignment of Interspersed Repeats | 81 |
| Comparative Genomics Case Study of DUS in $Neisseria$ | 82 |
| Conclusion | 83 |
| References | 84 |
| Improving Literature Searches in Gene Expression Studies | 86 |
|---|
| Introduction | 86 |
| Extracting Knowledge from DNA Microarray Data | 87 |
| Proposed Workflow | 89 |
| Acquiring, Mapping and Validating Genes Identifiers | 89 |
| Using Query Expansion Techniques | 90 |
| Searching over PubMed | 90 |
| Assembling the Results | 91 |
| System Implementation and Avaibility | 91 |
| Discussion | 92 |
| Conclusion | 93 |
| References | 93 |
| Implementing an Interactive Web-Based DAS Client | 95 |
|---|
| Introduction | 95 |
| The Distributed Annotation System | 96 |
| DASGenExp | 96 |
| Implementation | 97 |
| The Client | 98 |
| The Server
|