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Algorithms and Architectures for Parallel Processing [[electronic resource] ] : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings / / edited by Ting Hu, Feng Wang, Hongwei Li, Qian Wang
Algorithms and Architectures for Parallel Processing [[electronic resource] ] : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings / / edited by Ting Hu, Feng Wang, Hongwei Li, Qian Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (IX, 202 p. 94 illus., 48 illus. in color.)
Disciplina 004.35
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer networks
Cryptography
Data encryption (Computer science)
Data protection
Application software
Artificial intelligence
Computer Communication Networks
Cryptology
Data and Information Security
Computer and Information Systems Applications
Artificial Intelligence
ISBN 3-030-05234-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466312803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Algorithms and Architectures for Parallel Processing : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings / / edited by Ting Hu, Feng Wang, Hongwei Li, Qian Wang
Algorithms and Architectures for Parallel Processing : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings / / edited by Ting Hu, Feng Wang, Hongwei Li, Qian Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (IX, 202 p. 94 illus., 48 illus. in color.)
Disciplina 004.35
005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer networks
Cryptography
Data encryption (Computer science)
Data protection
Application software
Artificial intelligence
Computer Communication Networks
Cryptology
Data and Information Security
Computer and Information Systems Applications
Artificial Intelligence
ISBN 9783030052348
3030052346
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910349385903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming [[electronic resource] ] : 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina
Genetic Programming [[electronic resource] ] : 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (306 pages)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer systems
Computers, Special purpose
Computer networks
Artificial intelligence
Computer engineering
Theory of Computation
Computer System Implementation
Special Purpose and Application-Based Systems
Computer Communication Networks
Artificial Intelligence
Computer Engineering and Networks
ISBN 3-030-44094-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data -- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing -- Incremental Evolution and Development of Deep Artificial Neural Networks -- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming -- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement -- Automatically Evolving Lookup Tables for Function Approximation -- Optimising Optimisers with Push GP -- An Evolutionary View on Reversible Shift-invariant Transformations -- Benchmarking Manifold Learning Methods on a Large Collection of Datasets -- Ensemble Genetic Programming -- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets -- Effect of Parent Selection Methods on Modularity -- Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models -- Challenges of Program Synthesis with Grammatical Evolution -- Detection of Frailty Using Genetic Programming : The Case of Older People in Piedmont, Italy -- Is k Nearest Neighbours Regression Better than GP -- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling -- Classification of Autism Genes using Network Science and Linear Genetic Programming.
Record Nr. UNISA-996418219703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Genetic Programming : 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina
Genetic Programming : 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (306 pages)
Disciplina 006.31
006.3823
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer systems
Computers, Special purpose
Computer networks
Artificial intelligence
Computer engineering
Theory of Computation
Computer System Implementation
Special Purpose and Application-Based Systems
Computer Communication Networks
Artificial Intelligence
Computer Engineering and Networks
ISBN 3-030-44094-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data -- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing -- Incremental Evolution and Development of Deep Artificial Neural Networks -- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming -- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement -- Automatically Evolving Lookup Tables for Function Approximation -- Optimising Optimisers with Push GP -- An Evolutionary View on Reversible Shift-invariant Transformations -- Benchmarking Manifold Learning Methods on a Large Collection of Datasets -- Ensemble Genetic Programming -- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets -- Effect of Parent Selection Methods on Modularity -- Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models -- Challenges of Program Synthesis with Grammatical Evolution -- Detection of Frailty Using Genetic Programming : The Case of Older People in Piedmont, Italy -- Is k Nearest Neighbours Regression Better than GP -- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling -- Classification of Autism Genes using Network Science and Linear Genetic Programming.
Record Nr. UNINA-9910409674103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming [[electronic resource] ] : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
Genetic Programming [[electronic resource] ] : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XII, 295 p. 130 illus., 51 illus. in color.)
Disciplina 006.3823
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Data mining
Computer science—Mathematics
Discrete mathematics
Artificial intelligence—Data processing
Pattern recognition systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Discrete Mathematics in Computer Science
Data Science
Automated Pattern Recognition
ISBN 3-030-16670-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466571403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Genetic Programming : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
Genetic Programming : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XII, 295 p. 130 illus., 51 illus. in color.)
Disciplina 006.3823
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Data mining
Computer science - Mathematics
Discrete mathematics
Artificial intelligence - Data processing
Pattern recognition systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Discrete Mathematics in Computer Science
Data Science
Automated Pattern Recognition
ISBN 9783030166700
3030166708
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910337848203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming [[electronic resource] ] : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu
Genetic Programming [[electronic resource] ] : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XII, 277 p. 99 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Application software
Theory of Computation
Artificial Intelligence
Computer and Information Systems Applications
ISBN 3-642-37207-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Adaptive Distance Metrics for Nearest Neighbour Classification Based on Genetic Programming.- Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.- Generation of VNS Components with Grammatical Evolution for Vehicle Routing.- Understanding Expansion Order and Phenotypic Connectivity in πGE.- PhenoGP: Combining Programs to Avoid Code Disruption.- Reducing Wasted Evaluations in Cartesian Genetic Programming.- Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.- Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.- Robustness and Evolvability of Recombination in Linear Genetic Programming.- On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology.- Discovering Subgroups by Means of Genetic Programming.- Program Optimisation with Dependency Injection.- Searching for Novel Classifiers.- Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.- Automated Problem Decomposition for the Boolean Domain with Genetic Programming.- A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process.- Semantic Bias in Program Coevolution.- A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics -- A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.- Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis.- Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis.- How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory.- Examining the Diversity Property of Semantic Similarity Based Crossover. Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.- Generation of VNS Components with Grammatical Evolution for Vehicle Routing.- Understanding Expansion Order and Phenotypic Connectivity in πGE.- PhenoGP: Combining Programs to Avoid Code Disruption.- Reducing Wasted Evaluations in Cartesian Genetic Programming.- Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.- Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.- Robustness and Evolvability of Recombination in Linear Genetic Programming.- On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology.- Discovering Subgroups by Means of Genetic Programming.- Program Optimisation with Dependency Injection.- Searching for Novel Classifiers.- Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.- Automated Problem Decomposition for the Boolean Domain with Genetic Programming.- A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process.- Semantic Bias in Program Coevolution.- A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics -- A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.- Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis.- Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis.- How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory.- Examining the Diversity Property of Semantic Similarity Based Crossover.
Record Nr. UNISA-996465581303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Genetic Programming : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu
Genetic Programming : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XII, 277 p. 99 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Application software
Theory of Computation
Artificial Intelligence
Computer and Information Systems Applications
ISBN 3-642-37207-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Adaptive Distance Metrics for Nearest Neighbour Classification Based on Genetic Programming.- Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.- Generation of VNS Components with Grammatical Evolution for Vehicle Routing.- Understanding Expansion Order and Phenotypic Connectivity in πGE.- PhenoGP: Combining Programs to Avoid Code Disruption.- Reducing Wasted Evaluations in Cartesian Genetic Programming.- Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.- Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.- Robustness and Evolvability of Recombination in Linear Genetic Programming.- On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology.- Discovering Subgroups by Means of Genetic Programming.- Program Optimisation with Dependency Injection.- Searching for Novel Classifiers.- Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.- Automated Problem Decomposition for the Boolean Domain with Genetic Programming.- A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process.- Semantic Bias in Program Coevolution.- A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics -- A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.- Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis.- Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis.- How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory.- Examining the Diversity Property of Semantic Similarity Based Crossover. Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure.- Generation of VNS Components with Grammatical Evolution for Vehicle Routing.- Understanding Expansion Order and Phenotypic Connectivity in πGE.- PhenoGP: Combining Programs to Avoid Code Disruption.- Reducing Wasted Evaluations in Cartesian Genetic Programming.- Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.- Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.- Robustness and Evolvability of Recombination in Linear Genetic Programming.- On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology.- Discovering Subgroups by Means of Genetic Programming.- Program Optimisation with Dependency Injection.- Searching for Novel Classifiers.- Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.- Automated Problem Decomposition for the Boolean Domain with Genetic Programming.- A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process.- Semantic Bias in Program Coevolution.- A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics -- A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.- Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis.- Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis.- How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory.- Examining the Diversity Property of Semantic Similarity Based Crossover.
Record Nr. UNINA-9910483354903321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming Theory and Practice XXI / / edited by Stephan M. Winkler, Wolfgang Banzhaf, Ting Hu, Alexander Lalejini
Genetic Programming Theory and Practice XXI / / edited by Stephan M. Winkler, Wolfgang Banzhaf, Ting Hu, Alexander Lalejini
Autore Winkler Stephan M
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (535 pages)
Disciplina 006.3
Altri autori (Persone) BanzhafWolfgang
HuTing
LalejiniAlexander
Collana Genetic and Evolutionary Computation
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 9789819600779
9819600774
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Representation & Reachability: Assumption Impact in Data Modeling -- Chapter 2. EvoFeat: Genetic Programming-based Feature Engineering Approach to Tabular Data Classification -- Chapter 3. Deep Learning-Based Operators for Evolutionary Algorithms -- Chapter 4. Survey of Genetic Programming and Large Language Models -- Chapter 5. Evolving Many-Model Agents with Vector and Matrix Operations in Tangled Program Graphs -- Chapter 6. Automatic Design of Autoencoders using NeuroEvolution -- Chapter 7. Code Building Genetic Programming is Faster than PushGP -- Chapter 8. Sharpness-Aware Minimization in Genetic Programming -- Chapter 9. Tree-Based Grammatical Evolution with Non-Encoding Nodes -- Chapter 10. Genetic Programming with Memory for Approximate Data Reconstruction -- Chapter 11. Ratcheted Random Search for Self-Programming Boolean Networks -- Chapter 12. Exploring Non-Bloating Geometric Semantic Genetic Programming -- Chapter 13. Revisiting Gradient-based Local Search in Symbolic Regression -- Chapter 14. It’s Time to Revisit the Use of FPGAs for Genetic Programming -- Chapter 15. Interpretable Genetic Programming Models for Real-World Biomedical Images -- Chapter 16. Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes -- Chapter 17. Cell Regulation and the Early Evolution of Autonomous Control -- Chapter 18. How to Measure Explainability and Interpretability of Machine Learning Results -- Chapter 19. Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics -- Chapter 20. Using lineage age to augment search space exploration in lexicase selection.
Record Nr. UNINA-9910984593103321
Winkler Stephan M  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning in Genome-Wide Association Studies
Machine Learning in Genome-Wide Association Studies
Autore Hu Ting
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 online resource (74 p.)
Soggetto topico Medical genetics
Science: general issues
Soggetto non controllato complex diseases
epistasis
gene-gene interaction
GWAS-genome-wide association study
machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557760703321
Hu Ting  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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