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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
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
Materiale a stampa
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
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
Materiale a stampa
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
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
Materiale a stampa
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.)
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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.)
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming Theory and Practice XI / / edited by Rick Riolo, Jason H. Moore, Mark Kotanchek
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui