Artificial Immune Systems [[electronic resource] ] : 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings / / edited by Carlos A. Coello-Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XIX, 293 p. 84 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer simulation
Artificial intelligence Computer science Algorithms Pattern recognition systems Application software Computer Modelling Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications |
ISBN | 3-642-33757-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Face Recognition by Searching Most Similar Sample with Immune Learning -- A Multi-Objective Artificial Immune System Based on Hypervolume -- A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data -- Immune-Inspired Self Healing in Wireless Sensor Networks -- A Beginner’s Guide to Systems Simulation in Immunology -- Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm -- Petri Nets Approach to Modeling of Immune System and Autism -- Mathematical Implementation of Interation between Malaria and Immune System -- Computing Longest Common Subsequences with the B-Cell Algorithm -- Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection -- AC-CS: An Immune-Inspired Associative Classification Algorithm -- RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory -- Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers -- A Negative Selection Approach to Intrusion Detection -- Clonal Expansion without Self-replicating Entities -- A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Systems -- CSA/IE: Novel Clonal Selection Algorithm with Information Exchange for High Dimensional Global Optimization Problems -- An Ecological Approach to Anomaly Detection: The EIA Model -- Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis -- Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm -- Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks -- Distributed Computing with Prokaryotic Immune Systems -- The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems. |
Record Nr. | UNISA-996465434603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Automated Reasoning for Systems Biology and Medicine / / edited by Pietro Liò, Paolo Zuliani |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (471 pages) |
Disciplina | 570.285 |
Collana | Computational Biology |
Soggetto topico |
Bioinformatics
Systems biology Artificial intelligence Health informatics Pattern recognition Computational Biology/Bioinformatics Systems Biology Artificial Intelligence Health Informatics Pattern Recognition |
ISBN | 3-030-17297-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Model Checking -- Chapter 1. Model Checking Approach to the Analysis of Biological Systems -- Chapter2. Automated Reasoning for the Synthesis and Analysis of Biological Programs -- Chapter 3. Statistical Model Checking based Analysis Techniques of Biological Networks -- Chapter 4. Models, Devices, Properties and Verification for the Artificial Pancreas -- Chapter 5. Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution -- Part II: Formal Methods and Logic -- Chapter 6. Set-based Analysis for Biological Modelling -- Chapter 7. Logic and Linear Programs to Understand Cancer Response -- Chapter 8. Logic-Based Formalization of System Requirements for Integrated Clinical Environments -- Chapter 9. Balancing prescriptions with Constraint Solvers -- Chapter 10. Metastable Regimes and Tipping Points of Biochemical Networks with Potential Applications in Precision Medicine -- Part III: Stochastic Modelling and Analysis.-Chapter 11. Stochastic Spatial Modelling of the Remyelination Process in Multiple Sclerosis Lesions -- Chapter 12. Approximation Techniques for Stochastic Analysis of Biological Systems -- Chapter 13. A Graphical Approach for the Hybrid Modelling of Intracellular Calcium Dynamics Based on Coloured Hybrid Petri Nets -- Chapter 14. Methods for Personalised Delivery Rate Computation for IV Administered Anesthetic Propofol -- Part IV: Machine Learning and Artificial Intelligence -- Chapter 15. Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data -- Chapter 16. Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering -- Chapter 17. Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis. |
Record Nr. | UNINA-9910337843703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Bio-Inspired Computing and Communication [[electronic resource] ] : First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers / / edited by Pietro Liò, Eiko Yoneki, Jon Crowcroft, Dinesh Chandra Verma |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
Descrizione fisica | 1 online resource (X, 428 p.) |
Disciplina | 511.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Computer networks Bioinformatics Application software Database management Computer simulation Computer Communication Networks Computational and Systems Biology Computer and Information Systems Applications Database Management Computer Modelling |
ISBN | 3-540-92191-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Bio-Inspired Computing and Communication -- Biological Networks -- A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans -- Modelling Gene Regulatory Networks -- The Role of Simplifying Models in Neuroscience: Modelling Structure and Function -- An Artificial Chemistry for Networking -- Biomimicry: Further Insights from Ant Colonies? -- Network-Related Challenges and Insights from Neuroscience -- Network Epidemics -- Networks in Epidemiology -- Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor? -- Epidemic Spreading of Computer Worms in Fixed Wireless Networks -- Wireless Epidemic Spread in Dynamic Human Networks -- Complex Networks -- Stochastic Spreading Processes on a Network Model Based on Regular Graphs -- Weighted and Directed Network on Traveling Patterns -- Communication Networks in Insect Societies -- The Topological Fortress of Termites -- Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks -- Phase Patterns of Coupled Oscillators with Application to Wireless Communication -- Self-organizing Desynchronization and TDMA on Wireless Sensor Networks -- Bio-Inspired Network Model -- Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications -- Bio-Inspired Approaches for Autonomic Pervasive Computing Systems -- Biologically Inspired Self Selective Routing with Preferred Path Selection -- Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication -- Network Protocol in Wireless Communication -- User-Centric Mobility Models for Opportunistic Networking -- Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion -- A Circulatory System Approach for Wireless Sensor Networks -- Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models -- Maintaining Spatial-Temporal Knowledge through Human Interaction -- Data Management -- Beta Random Projection -- Biologically Inspired Classifier -- Distributed Computing -- Human Heuristics for Autonomous Agents -- Designing Biological Computers: Systemic Computation and Sensor Networks -- A Rule System for Network-Centric Operation in Massively Distributed Systems -- Field-Based Coordination for Pervasive Computing Applications -- Coalition Games and Resource Allocation in Ad-Hoc Networks -- Security -- Bio-Inspired Topology Maintenance Protocols for Secure Wireless Sensor Networks -- Dynamic Topologies for Robust Scale-Free Networks. |
Record Nr. | UNISA-996465437603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Bio-Inspired Computing and Communication : First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers / / edited by Pietro Liò, Eiko Yoneki, Jon Crowcroft, Dinesh Chandra Verma |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
Descrizione fisica | 1 online resource (X, 428 p.) |
Disciplina | 511.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Computer networks Bioinformatics Application software Database management Computer simulation Computer Communication Networks Computational and Systems Biology Computer and Information Systems Applications Database Management Computer Modelling |
ISBN | 3-540-92191-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Bio-Inspired Computing and Communication -- Biological Networks -- A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans -- Modelling Gene Regulatory Networks -- The Role of Simplifying Models in Neuroscience: Modelling Structure and Function -- An Artificial Chemistry for Networking -- Biomimicry: Further Insights from Ant Colonies? -- Network-Related Challenges and Insights from Neuroscience -- Network Epidemics -- Networks in Epidemiology -- Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor? -- Epidemic Spreading of Computer Worms in Fixed Wireless Networks -- Wireless Epidemic Spread in Dynamic Human Networks -- Complex Networks -- Stochastic Spreading Processes on a Network Model Based on Regular Graphs -- Weighted and Directed Network on Traveling Patterns -- Communication Networks in Insect Societies -- The Topological Fortress of Termites -- Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks -- Phase Patterns of Coupled Oscillators with Application to Wireless Communication -- Self-organizing Desynchronization and TDMA on Wireless Sensor Networks -- Bio-Inspired Network Model -- Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications -- Bio-Inspired Approaches for Autonomic Pervasive Computing Systems -- Biologically Inspired Self Selective Routing with Preferred Path Selection -- Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication -- Network Protocol in Wireless Communication -- User-Centric Mobility Models for Opportunistic Networking -- Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion -- A Circulatory System Approach for Wireless Sensor Networks -- Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models -- Maintaining Spatial-Temporal Knowledge through Human Interaction -- Data Management -- Beta Random Projection -- Biologically Inspired Classifier -- Distributed Computing -- Human Heuristics for Autonomous Agents -- Designing Biological Computers: Systemic Computation and Sensor Networks -- A Rule System for Network-Centric Operation in Massively Distributed Systems -- Field-Based Coordination for Pervasive Computing Applications -- Coalition Games and Resource Allocation in Ad-Hoc Networks -- Security -- Bio-Inspired Topology Maintenance Protocols for Secure Wireless Sensor Networks -- Dynamic Topologies for Robust Scale-Free Networks. |
Record Nr. | UNINA-9910483815403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIII, 314 p. 90 illus. in color.) |
Disciplina | 570.285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Bioinformatics
Pattern recognition Data mining Computers Optical data processing Algorithms Computational Biology/Bioinformatics Pattern Recognition Data Mining and Knowledge Discovery Computation by Abstract Devices Image Processing and Computer Vision Algorithm Analysis and Problem Complexity |
ISBN | 3-319-24462-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks. |
Record Nr. | UNISA-996466322003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Computational Intelligence Methods for Bioinformatics and Biostatistics : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIII, 314 p. 90 illus. in color.) |
Disciplina | 570.285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Bioinformatics
Pattern recognition Data mining Computers Optical data processing Algorithms Computational Biology/Bioinformatics Pattern Recognition Data Mining and Knowledge Discovery Computation by Abstract Devices Image Processing and Computer Vision Algorithm Analysis and Problem Complexity |
ISBN | 3-319-24462-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks. |
Record Nr. | UNINA-9910484405703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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