Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings / / edited by Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XXIV, 816 p.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Computer programming Computers Computer networks Computer science—Mathematics Computer vision Theory of Computation Programming Techniques Computer Hardware Computer Communication Networks Mathematical Applications in Computer Science Computer Vision |
ISBN | 3-540-33238-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | EvoBIO Contributions -- EvoCOMNET Contributions -- EvoHOT Contributions -- EvoIASP Contributions -- EvoINTERACTION Contributions -- EvoMUSART Contributions -- EvoSTOC Contributions. |
Record Nr. | UNISA-996465792503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Clinical Applications of Artificial Intelligence in Real-World Data [[electronic resource] /] / edited by Folkert W. Asselbergs, Spiros Denaxas, Daniel L. Oberski, Jason H. Moore |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (VI, 285 p. 80 illus., 58 illus. in color.) |
Disciplina | 610.285 |
Soggetto topico |
Medical informatics
Medical care Bioinformatics Big data Health Informatics Health Care Big Data |
ISBN | 3-031-36678-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Data Processing, Storage, Regulations -- Biomedical Big Data: Opportunities and Challenges -- Quality Control, Data Cleaning, Imputation -- Data Security And Privacy Issues -- Data Standards and Terminology -- Biomedical Ontologies -- Graph Databases as Future Of Data Storage -- Data Integration, Harmonization -- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured -- Part 2: Analytics -- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization -- Statistical Analysis – Meta-Analysis/Reproducibility -- Machine Learning – Basic Concepts -- Machine Learning – Basic Supervised Methods -- Machine Learning – Basic Unsupervised Methods -- Machine Learning – Evaluation -- Machine Learning – Representation Learning/Feature Selection/Engineering -- Machine Learning – Interpretation -- Deep Learning – Prediction -- Deep Learning – Autoencoders -- Artificial Intelligence -- Machine Learning In Practice – Clinical Decision Support, Risk Prediction, Diagnosis -- Machine Learning In Practice – Evaluation Clinical Value, Guidelines -- Challenges Of Machine Learning and AI. |
Record Nr. | UNINA-9910760252303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings / / edited by Elena Marchiori, Jason H. Moore |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
Descrizione fisica | 1 online resource (X, 213 p.) |
Disciplina | 572.80285 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Artificial intelligence
Computer programming Computer science Algorithms Bioinformatics Pattern recognition systems Artificial Intelligence Programming Techniques Theory of Computation Computational and Systems Biology Automated Pattern Recognition |
ISBN | 3-540-78757-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification -- Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins -- Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA -- DEEPER: A Full Parsing Based Approach to Protein Relation Extraction -- Improving the Performance of Hierarchical Classification with Swarm Intelligence -- Protein Interaction Inference Using Particle Swarm Optimization Algorithm -- Divide, Align and Full-Search for Discovering Conserved Protein Complexes -- Detection of Quantitative Trait Associated Genes Using Cluster Analysis -- Frequent Subsplit Representation of Leaf-Labelled Trees -- Inference on Missing Values in Genetic Networks Using High-Throughput Data -- Mining Gene Expression Patterns for the Discovery of Overlapping Clusters -- Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases -- Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs -- Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control -- Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps -- A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing -- On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. |
Record Nr. | UNISA-996466154903316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Evolutionary computation, machine learning and data mining in bioinformatics : 6th European conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008 : proceedings / / Elena Marchiori, Jason H. Moore (eds.) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
Descrizione fisica | 1 online resource (X, 213 p.) |
Disciplina | 572.80285 |
Altri autori (Persone) |
MarchioriE
MooreJason H |
Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
Soggetto topico |
Bioinformatics
Artificial intelligence - Biological applications Computational biology Evolutionary computation Data mining |
ISBN | 3-540-78757-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification -- Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins -- Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA -- DEEPER: A Full Parsing Based Approach to Protein Relation Extraction -- Improving the Performance of Hierarchical Classification with Swarm Intelligence -- Protein Interaction Inference Using Particle Swarm Optimization Algorithm -- Divide, Align and Full-Search for Discovering Conserved Protein Complexes -- Detection of Quantitative Trait Associated Genes Using Cluster Analysis -- Frequent Subsplit Representation of Leaf-Labelled Trees -- Inference on Missing Values in Genetic Networks Using High-Throughput Data -- Mining Gene Expression Patterns for the Discovery of Overlapping Clusters -- Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases -- Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs -- Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control -- Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps -- A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing -- On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. |
Altri titoli varianti | EvoBIO 2008 |
Record Nr. | UNINA-9910483722103321 |
Berlin ; ; New York, : Springer, c2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
Descrizione fisica | 1 online resource (XI, 302 p.) |
Disciplina | 572.80285/6 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Artificial intelligence
Computer programming Computer science Algorithms Bioinformatics Pattern recognition systems Artificial Intelligence Programming Techniques Theory of Computation Computational and Systems Biology Automated Pattern Recognition |
ISBN | 3-540-71783-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification. |
Record Nr. | UNISA-996466257903316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Evolutionary computation, machine learning and data mining in bioinformatics : 5th European conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007 : proceedings / / Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse (eds.) |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2007 |
Descrizione fisica | 1 online resource (XI, 302 p.) |
Disciplina | 572.80285/6 |
Altri autori (Persone) |
MarchioriE
MooreJason H RajapakseJagath Chandana |
Collana | Lecture notes in computer science |
Soggetto topico |
Bioinformatics
Artificial intelligence - Biological applications Computational biology Evolutionary computation Data mining |
ISBN | 3-540-71783-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification. |
Altri titoli varianti | EvoBIO 2007 |
Record Nr. | UNINA-9910484036003321 |
Berlin ; ; New York, : Springer, c2007 | ||
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Lo trovi qui: Univ. Federico II | ||
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Genetic Programming Theory and Practice XI / / edited by Rick Riolo, Jason H. Moore, Mark Kotanchek |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (234 p.) |
Disciplina | 006.31 |
Collana | Genetic and Evolutionary Computation |
Soggetto topico |
Artificial intelligence
Computers Algorithms Computer programming Artificial Intelligence Theory of Computation Algorithm Analysis and Problem Complexity Programming Techniques |
Soggetto genere / forma | Conference proceedings. |
ISBN | 1-4939-0375-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Extreme Accuracy in Symbolic Regression -- Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease -- Optimizing a Cloud Contract Portfolio using Genetic Programming-based Load Models -- Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data -- Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution -- Applying Genetic Programming in Business Forecasting -- Explaining Unemployment Rates with Symbolic Regression -- Uniform Linear Transformation with Repair and Alternation in Genetic Programming -- A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data -- Gaining Deeper Insights in Symbolic Regression -- Geometric Semantic Genetic Programming for Real Life Applications -- Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. |
Record Nr. | UNINA-9910299050403321 |
New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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