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Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXII, 249 p. 98 illus.)
Disciplina 006.3
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Data mining
Computers
Mathematical statistics
Algorithms
Computational Biology/Bioinformatics
Artificial Intelligence
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Probability and Statistics in Computer Science
Algorithm Analysis and Problem Complexity
ISBN 3-319-67834-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465388503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers / / edited by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers / / edited by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XII, 286 p. 89 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Data mining
Computers
Mathematical statistics
Algorithms
Computational Biology/Bioinformatics
Artificial Intelligence
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Probability and Statistics in Computer Science
Algorithm Analysis and Problem Complexity
ISBN 3-319-44332-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational techniques in bioinformatics -- Systems biology and medical informatics -- Cutting edge methodologies and accelerate life science discoveries -- Novel challenges with an high impact on molecular biology and translational medicine.
Record Nr. UNINA-9910483051703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers / / edited by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers / / edited by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XII, 286 p. 89 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Data mining
Computers
Mathematical statistics
Algorithms
Computational Biology/Bioinformatics
Artificial Intelligence
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Probability and Statistics in Computer Science
Algorithm Analysis and Problem Complexity
ISBN 3-319-44332-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational techniques in bioinformatics -- Systems biology and medical informatics -- Cutting edge methodologies and accelerate life science discoveries -- Novel challenges with an high impact on molecular biology and translational medicine.
Record Nr. UNISA-996465969103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Methods for SNPs and Haplotype Inference [[electronic resource] ] : DIMACS/RECOMB Satellite Workshop, Piscataway, NJ, USA, November 21-22, 2002, Revised Papers / / edited by Sorin Istrail, Michael Waterman, Andrew Clark
Computational Methods for SNPs and Haplotype Inference [[electronic resource] ] : DIMACS/RECOMB Satellite Workshop, Piscataway, NJ, USA, November 21-22, 2002, Revised Papers / / edited by Sorin Istrail, Michael Waterman, Andrew Clark
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (X, 158 p.)
Disciplina 572.8/01/51
Collana Lecture Notes in Bioinformatics
Soggetto topico Biochemistry
Algorithms
Human genetics
Computer science—Mathematics
Mathematical statistics
Database management
Biochemistry, general
Algorithm Analysis and Problem Complexity
Human Genetics
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Database Management
ISBN 1-280-30709-9
9786610307098
3-540-24719-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trisomic Phase Inference -- Trisomic Phase Inference -- An Overview of Combinatorial Methods for Haplotype Inference -- A Survey of Computational Methods for Determining Haplotypes -- Haplotype Inference and Its Application in Linkage Disequilibrium Mapping -- Inferring Piecewise Ancestral History from Haploid Sequences -- Haplotype Blocks in Small Populations -- Simulating a Coalescent Process with Recombination and Ascertainment -- Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data -- Parametric Bootstrap for Assessment of Goodness of Fit of Models for Block Haplotype Structure -- A Coalescent-Based Approach for Complex Disease Mapping -- Abstracts -- Haplotyping as Perfect Phylogeny -- Exhaustive Enumeration and Bayesian Phase Inference -- How Does Choice of Polymorphism Influence Estimation of LD and Mapping? -- Haplotype Inference in Random Population Samples -- Bayesian Methods for Statistical Reconstruction of Haplotypes -- Combinatorial Approaches to Haplotype Inference -- Large Scale Recovery of Haplotypes from Genotype Data Using Imperfect Phylogeny -- Haplotype Inference and Haplotype Information -- Multi-locus Linkage Disequilibrium and Haplotype-Based Tests of Association -- The Pattern of Polymorphism on Human Chromosome 21 -- Use of a Local Approximation to the Ancestral Recombination Graph for Fine Mapping Disease Genes -- Insights into Recombination from Patterns of Linkage Disequilibrium -- Joint Bayesian Estimation of Mutation Location and Age Using Linkage Disequilibrium -- Evolutionary-Based Association Analysis Using Haplotype Data -- Inferring Piecewise Ancestral History from Haploid Sequences -- Testing for Differences in Haplotype Frequencies in Case-Control Studies -- Haplotypes, Hotspots, and a Multilocus Model for Linkage Disequilibrium -- Dynamic Programming Algorithms for Haplotype Block Partition and Applications to Association Studies -- Genome Sharing in Small Populations -- Patterns of Linkage Disequilibrium across Human Chromosomes 6, 21, AND 22 -- A Software System for Automated and Visual Analysis of Functionally Annotated Haplotypes -- Assessment of Goodness of Fit of Models for Block Haplotype Structure.
Record Nr. UNISA-996465537503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Methods for SNPs and Haplotype Inference [[electronic resource] ] : DIMACS/RECOMB Satellite Workshop, Piscataway, NJ, USA, November 21-22, 2002, Revised Papers / / edited by Sorin Istrail, Michael Waterman, Andrew Clark
Computational Methods for SNPs and Haplotype Inference [[electronic resource] ] : DIMACS/RECOMB Satellite Workshop, Piscataway, NJ, USA, November 21-22, 2002, Revised Papers / / edited by Sorin Istrail, Michael Waterman, Andrew Clark
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (X, 158 p.)
Disciplina 572.8/01/51
Collana Lecture Notes in Bioinformatics
Soggetto topico Biochemistry
Algorithms
Human genetics
Computer science—Mathematics
Mathematical statistics
Database management
Biochemistry, general
Algorithm Analysis and Problem Complexity
Human Genetics
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Database Management
ISBN 1-280-30709-9
9786610307098
3-540-24719-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trisomic Phase Inference -- Trisomic Phase Inference -- An Overview of Combinatorial Methods for Haplotype Inference -- A Survey of Computational Methods for Determining Haplotypes -- Haplotype Inference and Its Application in Linkage Disequilibrium Mapping -- Inferring Piecewise Ancestral History from Haploid Sequences -- Haplotype Blocks in Small Populations -- Simulating a Coalescent Process with Recombination and Ascertainment -- Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data -- Parametric Bootstrap for Assessment of Goodness of Fit of Models for Block Haplotype Structure -- A Coalescent-Based Approach for Complex Disease Mapping -- Abstracts -- Haplotyping as Perfect Phylogeny -- Exhaustive Enumeration and Bayesian Phase Inference -- How Does Choice of Polymorphism Influence Estimation of LD and Mapping? -- Haplotype Inference in Random Population Samples -- Bayesian Methods for Statistical Reconstruction of Haplotypes -- Combinatorial Approaches to Haplotype Inference -- Large Scale Recovery of Haplotypes from Genotype Data Using Imperfect Phylogeny -- Haplotype Inference and Haplotype Information -- Multi-locus Linkage Disequilibrium and Haplotype-Based Tests of Association -- The Pattern of Polymorphism on Human Chromosome 21 -- Use of a Local Approximation to the Ancestral Recombination Graph for Fine Mapping Disease Genes -- Insights into Recombination from Patterns of Linkage Disequilibrium -- Joint Bayesian Estimation of Mutation Location and Age Using Linkage Disequilibrium -- Evolutionary-Based Association Analysis Using Haplotype Data -- Inferring Piecewise Ancestral History from Haploid Sequences -- Testing for Differences in Haplotype Frequencies in Case-Control Studies -- Haplotypes, Hotspots, and a Multilocus Model for Linkage Disequilibrium -- Dynamic Programming Algorithms for Haplotype Block Partition and Applications to Association Studies -- Genome Sharing in Small Populations -- Patterns of Linkage Disequilibrium across Human Chromosomes 6, 21, AND 22 -- A Software System for Automated and Visual Analysis of Functionally Annotated Haplotypes -- Assessment of Goodness of Fit of Models for Block Haplotype Structure.
Record Nr. UNINA-9910144204103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Pathology and Ophthalmic Medical Image Analysis [[electronic resource] ] : First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne Martel, Lena Maier-Hein, Nasir Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen McKenna, David Snead, Emanuele Trucco, Mona K. Garvin, Xin Jan Chen, Hrvoje Bogunovic
Computational Pathology and Ophthalmic Medical Image Analysis [[electronic resource] ] : First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne Martel, Lena Maier-Hein, Nasir Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen McKenna, David Snead, Emanuele Trucco, Mona K. Garvin, Xin Jan Chen, Hrvoje Bogunovic
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVII, 347 p. 135 illus.)
Disciplina 617.7
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Arithmetic and logic units, Computer
Mathematical statistics
Pattern recognition
Image Processing and Computer Vision
Artificial Intelligence
Arithmetic and Logic Structures
Probability and Statistics in Computer Science
Pattern Recognition
ISBN 3-030-00949-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability -- Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images -- Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network -- Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image -- Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains -- Role of Task Complexity and Training in Crowdsourced Image Annotation -- Capturing global spatial context for accurate cell classification in skin cancer histology -- Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains -- Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection -- Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow -- DeepCerv: Deep neural network for segmentation free robust cervical cell classification -- Whole slide image registration for the study of tumor heterogeneity -- Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network -- Structure instance segmentation in renal tissue: a case study on tubular immune cell detection -- Cellular Community Detection for Tissue Phenotyping in Histology Images -- Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning -- Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images -- Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content -- Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images -- Ocular Structures Segmentation from Multi-sequences MRI using 3D Unet with Fully Connected CRFs -- Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN -- Segmentation of Corneal Nerves Using a U-Net-based Convolutional Neural Network -- Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images -- Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images -- Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming -- Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning -- cGAN-based lacquer cracks segmentation in ICGA image -- Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks -- Fundus Image Quality-guided Diabetic Retinopathy Grading -- DeepDisc: Optic Disc Segmentation based on Atrous Convolution and Spatial Pyramid Pooling -- Large-scale Left and Right Eye Classification in Retinal Images -- Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images -- Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography -- Visual Field based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network -- Towards standardization of retinal vascular measurements: on the effect of image centering -- Feasibility study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2 -- Segmentation of retinal layers in OCT images of the mouse eye utilizing polarization contrast -- Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation -- 2D Modeling and Correction of Fan-beam Scan Geometry in OCT -- A Bottom-up Saliency Estimation Approach for Neonatal Retinal Images.
Record Nr. UNINA-9910349405203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Pathology and Ophthalmic Medical Image Analysis [[electronic resource] ] : First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne Martel, Lena Maier-Hein, Nasir Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen McKenna, David Snead, Emanuele Trucco, Mona K. Garvin, Xin Jan Chen, Hrvoje Bogunovic
Computational Pathology and Ophthalmic Medical Image Analysis [[electronic resource] ] : First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne Martel, Lena Maier-Hein, Nasir Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen McKenna, David Snead, Emanuele Trucco, Mona K. Garvin, Xin Jan Chen, Hrvoje Bogunovic
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVII, 347 p. 135 illus.)
Disciplina 617.7
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Arithmetic and logic units, Computer
Mathematical statistics
Pattern recognition
Image Processing and Computer Vision
Artificial Intelligence
Arithmetic and Logic Structures
Probability and Statistics in Computer Science
Pattern Recognition
ISBN 3-030-00949-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability -- Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images -- Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network -- Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image -- Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains -- Role of Task Complexity and Training in Crowdsourced Image Annotation -- Capturing global spatial context for accurate cell classification in skin cancer histology -- Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains -- Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection -- Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow -- DeepCerv: Deep neural network for segmentation free robust cervical cell classification -- Whole slide image registration for the study of tumor heterogeneity -- Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network -- Structure instance segmentation in renal tissue: a case study on tubular immune cell detection -- Cellular Community Detection for Tissue Phenotyping in Histology Images -- Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning -- Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images -- Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content -- Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images -- Ocular Structures Segmentation from Multi-sequences MRI using 3D Unet with Fully Connected CRFs -- Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN -- Segmentation of Corneal Nerves Using a U-Net-based Convolutional Neural Network -- Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images -- Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images -- Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming -- Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning -- cGAN-based lacquer cracks segmentation in ICGA image -- Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks -- Fundus Image Quality-guided Diabetic Retinopathy Grading -- DeepDisc: Optic Disc Segmentation based on Atrous Convolution and Spatial Pyramid Pooling -- Large-scale Left and Right Eye Classification in Retinal Images -- Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images -- Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography -- Visual Field based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network -- Towards standardization of retinal vascular measurements: on the effect of image centering -- Feasibility study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2 -- Segmentation of retinal layers in OCT images of the mouse eye utilizing polarization contrast -- Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation -- 2D Modeling and Correction of Fan-beam Scan Geometry in OCT -- A Bottom-up Saliency Estimation Approach for Neonatal Retinal Images.
Record Nr. UNISA-996466199903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Performance Engineering [[electronic resource] ] : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings / / edited by Katja Gilly, Nigel Thomas
Computer Performance Engineering [[electronic resource] ] : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings / / edited by Katja Gilly, Nigel Thomas
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (233 pages)
Disciplina 004.24
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Computer science—Mathematics
Mathematical statistics
Computer networks
Computers, Special purpose
Computer systems
Application software
Data and Information Security
Probability and Statistics in Computer Science
Computer Communication Networks
Special Purpose and Application-Based Systems
Computer System Implementation
Computer and Information Systems Applications
ISBN 3-031-25049-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robustness analysis -- Applications -- Stochastic modelling -- Machine learning -- Edge-cloud computing -- Modelling paradigms and tools.
Record Nr. UNINA-9910647385303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Performance Engineering [[electronic resource] ] : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings / / edited by Katja Gilly, Nigel Thomas
Computer Performance Engineering [[electronic resource] ] : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings / / edited by Katja Gilly, Nigel Thomas
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (233 pages)
Disciplina 004.24
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Computer science—Mathematics
Mathematical statistics
Computer networks
Computers, Special purpose
Computer systems
Application software
Data and Information Security
Probability and Statistics in Computer Science
Computer Communication Networks
Special Purpose and Application-Based Systems
Computer System Implementation
Computer and Information Systems Applications
ISBN 3-031-25049-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robustness analysis -- Applications -- Stochastic modelling -- Machine learning -- Edge-cloud computing -- Modelling paradigms and tools.
Record Nr. UNISA-996508670703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Analysis of Images and Patterns [[electronic resource] ] : 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I / / edited by Michael Felsberg, Anders Heyden, Norbert Krüger
Computer Analysis of Images and Patterns [[electronic resource] ] : 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I / / edited by Michael Felsberg, Anders Heyden, Norbert Krüger
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVI, 413 p. 156 illus.)
Disciplina 621.367
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Computers
Special purpose computers
Mathematical statistics
Image Processing and Computer Vision
Artificial Intelligence
Information Systems and Communication Service
Special Purpose and Application-Based Systems
Probability and Statistics in Computer Science
ISBN 3-319-64689-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Vision for Robotics -- Motion and Tracking -- Segmentation -- Image/Video Indexing and Retrieval -- Shape Representation and Analysis -- Biomedical Image Analysis -- Biometrics -- Machine Learning -- Image Restoration. .
Record Nr. UNISA-996466457303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui