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Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano
| Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano |
| Autore | Smith Stephen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (460 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
CorreiaJoão
CintranoChristian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-56852-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation: Finding Near-Optimal Portfolios With Quality-Diversity -- Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Efficiency -- Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight -- Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution -- GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks -- Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language -- On the Utility of Probing Trajectories for Algorithm-Selection -- Nature-inspired Portfolio Diversification using Ant Brood Clustering -- Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks.-Evolving Artificial Neural Networks for Simulating Fish Social Interactions -- Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem -- A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control -- Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments -- Finding sets of solutions for temporal uncertain problems -- Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation -- Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation -- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks -- Iterated Beam Search for Wildland Fire Suppression -- A New Angle: On Evolving Rotation Symmetric Boolean Functions -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications: On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems -- A Simple Statistical Test Against Origin-Biased Metaheuristics -- Computational Intelligence for Sustainability: Optimizing Urban Infrastructure for E-Scooter Mobility -- Evolutionary Computation in Edge, Fog, and Cloud Computing: Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks -- Evolutionary Computation meets Stream Processing -- Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition: Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study -- Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach -- 3D Motion Analysis in MRI using a Multi-objective Evolutionary k -means Clustering. |
| Record Nr. | UNISA-996589544803316 |
Smith Stephen
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano
| Applications of Evolutionary Computation : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano |
| Autore | Smith Stephen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (460 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
CorreiaJoão
CintranoChristian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-56852-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation: Finding Near-Optimal Portfolios With Quality-Diversity -- Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Efficiency -- Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight -- Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution -- GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks -- Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language -- On the Utility of Probing Trajectories for Algorithm-Selection -- Nature-inspired Portfolio Diversification using Ant Brood Clustering -- Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks.-Evolving Artificial Neural Networks for Simulating Fish Social Interactions -- Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem -- A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control -- Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments -- Finding sets of solutions for temporal uncertain problems -- Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation -- Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation -- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks -- Iterated Beam Search for Wildland Fire Suppression -- A New Angle: On Evolving Rotation Symmetric Boolean Functions -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications: On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems -- A Simple Statistical Test Against Origin-Biased Metaheuristics -- Computational Intelligence for Sustainability: Optimizing Urban Infrastructure for E-Scooter Mobility -- Evolutionary Computation in Edge, Fog, and Cloud Computing: Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks -- Evolutionary Computation meets Stream Processing -- Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition: Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study -- Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach -- 3D Motion Analysis in MRI using a Multi-objective Evolutionary k -means Clustering. |
| Record Nr. | UNINA-9910845482603321 |
|
Smith Stephen
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Evolutionary Computation : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part II / / edited by Stephen Smith, João Correia, Christian Cintrano
| Applications of Evolutionary Computation : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part II / / edited by Stephen Smith, João Correia, Christian Cintrano |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XXI, 409 p. 151 illus., 125 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-56855-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Machine Learning: Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation -- Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution -- Evolving Reservoirs for Meta Reinforcement Learning -- Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control -- Towards Physical Plausibility in Neuroevolution Systems -- Leveraging More of Biology in Evolutionary Reinforcement Learning -- A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour -- DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm -- A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks -- Robust Neural Architecture Search using Differential Evolution for Medical Images -- Progressive Self-Supervised Multi-Objective NAS for Image Classification -- Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data -- Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments -- Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification -- An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation -- Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners -- Machine Learning and AI in Digital Healthcare and Personalized Medicine: Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators -- Problem Landscape Analysis for Efficient Optimization: Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling -- Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack -- On the Latent Structure of the bbob-biobj Test Suite -- Soft Computing applied to Games -- Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains -- Using Evolution and Deep Learning to Generate Diverse Intelligent Agents -- Vision Transformers for Computer Go -- Surrogate-Assisted Evolutionary Optimisation: Integrating Bayesian and Evolutionary Approaches for Multi-Objective Optimisation. |
| Record Nr. | UNINA-9910845482203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura
| Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XX, 817 p. 274 illus., 236 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science—Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-30229-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications -- Computational Intelligence for Sustainability -- Evolutionary Computation in Edge, Fog, and Cloud Computing -- Evolutionary Machine Learning -- Machine Learning and AI in Digital Healthcare and Personalized Medicine -- Resilient Bio-Inspired Algorithms -- Soft Computing applied to Games -- Surrogate-Assisted Evolutionary Optimisation. |
| Record Nr. | UNISA-996525668403316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura
| Applications of Evolutionary Computation : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XX, 817 p. 274 illus., 236 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science—Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-30229-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications -- Computational Intelligence for Sustainability -- Evolutionary Computation in Edge, Fog, and Cloud Computing -- Evolutionary Machine Learning -- Machine Learning and AI in Digital Healthcare and Personalized Medicine -- Resilient Bio-Inspired Algorithms -- Soft Computing applied to Games -- Surrogate-Assisted Evolutionary Optimisation. |
| Record Nr. | UNINA-9910686478103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
| Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (238 pages) : illustrations |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Compilers (Computer programs) Image processing—Digital techniques Computer vision Signal processing Theory of Computation Computer Communication Networks Compilers and Interpreters Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing |
| ISBN | 3-030-43859-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience. |
| Record Nr. | UNISA-996418218203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
| Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (238 pages) : illustrations |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Compilers (Computer programs) Image processing—Digital techniques Computer vision Signal processing Theory of Computation Computer Communication Networks Compilers and Interpreters Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing |
| ISBN | 3-030-43859-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience. |
| Record Nr. | UNINA-9910409674303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / / edited by João Correia, Vic Ciesielski, Antonios Liapis
| Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / / edited by João Correia, Vic Ciesielski, Antonios Liapis |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 371 p. 169 illus.) |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Data mining Artificial intelligence Computer vision Computer science—Mathematics Mathematical statistics Digital humanities Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Probability and Statistics in Computer Science Digital Humanities |
| ISBN | 3-319-55750-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Algorithmic Songwriting with ALYSIA -- On Symmetry, Aesthetics and Quantifying Symmetrical Complexity -- Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment -- Melody Retrieval and Classification Using Biologically-Inspired Techniques -- Evolved Aesthetic Analogies to Improve Artistic Experience -- Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation -- A Kind of Bio-inspired Learning of mUsic stylE -- Using Autonomous Agents to Improvise Music Compositions in Real-time -- Generating Polyphonic Music Using Tied Parallel Networks -- Mixed-initiative Creative Drawing with webIconoscope -- Clustering Agents for the Evolution of Autonomous Musical Fitness -- EvoFashion: Customising Fashion Through Evolution -- A Swarm Environment for Experimental Performance and Improvisation -- Niche Constructing Drawing Robots -- Automated Shape Design by Grammatical Evolution -- Evolutionary Image Transition Using Random Walks -- Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos -- Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation through a Human Creativity Test -- Play It again: Evolved Audio Effects and Synthesizer Programming -- Fashion Design Aid System with Application of Interactive Genetic Algorithms -- Generalization Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples -- Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines -- Evolving Mondrian-Style Artworks -- Predicting Expressive Bow Controls for Violin and Viola. . |
| Record Nr. | UNISA-996466202903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / / edited by João Correia, Vic Ciesielski, Antonios Liapis
| Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / / edited by João Correia, Vic Ciesielski, Antonios Liapis |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 371 p. 169 illus.) |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Data mining Artificial intelligence Computer vision Computer science—Mathematics Mathematical statistics Digital humanities Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Probability and Statistics in Computer Science Digital Humanities |
| ISBN | 3-319-55750-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Algorithmic Songwriting with ALYSIA -- On Symmetry, Aesthetics and Quantifying Symmetrical Complexity -- Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment -- Melody Retrieval and Classification Using Biologically-Inspired Techniques -- Evolved Aesthetic Analogies to Improve Artistic Experience -- Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation -- A Kind of Bio-inspired Learning of mUsic stylE -- Using Autonomous Agents to Improvise Music Compositions in Real-time -- Generating Polyphonic Music Using Tied Parallel Networks -- Mixed-initiative Creative Drawing with webIconoscope -- Clustering Agents for the Evolution of Autonomous Musical Fitness -- EvoFashion: Customising Fashion Through Evolution -- A Swarm Environment for Experimental Performance and Improvisation -- Niche Constructing Drawing Robots -- Automated Shape Design by Grammatical Evolution -- Evolutionary Image Transition Using Random Walks -- Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos -- Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation through a Human Creativity Test -- Play It again: Evolved Audio Effects and Synthesizer Programming -- Fashion Design Aid System with Application of Interactive Genetic Algorithms -- Generalization Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples -- Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines -- Evolving Mondrian-Style Artworks -- Predicting Expressive Bow Controls for Violin and Viola. . |
| Record Nr. | UNINA-9910484653603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary and Biologically Inspired Music, Sound, Art and Design [[electronic resource] ] : 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Colin Johnson, Vic Ciesielski, João Correia, Penousal Machado
| Evolutionary and Biologically Inspired Music, Sound, Art and Design [[electronic resource] ] : 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Colin Johnson, Vic Ciesielski, João Correia, Penousal Machado |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 241 p. 124 illus.) |
| Disciplina | 789.9 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Algorithms Artificial intelligence Digital humanities Computer science—Mathematics User Interfaces and Human Computer Interaction Artificial Intelligence Digital Humanities Mathematics of Computing |
| ISBN | 3-319-31008-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Computer-Aided Musical Orchestration Using an Artificial Immune System -- 1 Introduction -- 2 Computer-Aided Musical Orchestration (CAMO) -- 2.1 Overview -- 2.2 Sound Database -- 2.3 Feature Database -- 2.4 Pre-processing -- 2.5 Representation -- 2.6 Combination Functions -- 2.7 Fitness Function -- 3 Immune Inspired Musical Orchestration -- 3.1 Opt-aiNet: An Artificial Immune System for Optimization -- 3.2 Phase Vocoder -- 3.3 Graphical Interface -- 4 Evaluation -- 5 Results and Discussion -- 5.1 Subjective Evaluation -- 5.2 Objective Evaluation -- 6 Conclusions and Perspectives -- References -- Evolving Atomic Aesthetics and Dynamics -- 1 Introduction -- 2 danceroom Spectroscopy -- 3 Interactive Evolutionary Computation (IEC) -- 4 Evolving Atomic Aesthetics -- 4.1 Representation -- 4.2 Evaluation and Selection -- 4.3 Mutation -- 5 Experimentation -- 5.1 Single-User IEC Interface -- 5.2 Collaborative IEC Interface -- 6 Conclusion -- References -- Augmenting Live Coding with Evolved Patterns -- 1 Introduction -- 2 Methodology -- 2.1 Tidal -- 2.2 Grammar and Parser -- 2.3 Evolutionary Algorithm -- 3 Evalutation -- 3.1 Is the System Generating Legal Tidal Patterns? -- 3.2 What Is the Relative Level of Complexity of the Generated Patterns? -- 3.3 How Does the Generated Audio Compare with Tidal? -- 3.4 How Does the Fitness of the Population Change? -- 4 Conclusion -- 4.1 On the Experience of Live Coding with Evolved Patterns -- 4.2 On the Need for a Quantitative Evaluation -- 4.3 Closing Remarks -- References -- Towards Adaptive Evolutionary Architecture -- 1 Introduction -- 1.1 Research Design and Goal -- 2 Background -- 2.1 Interdisciplinary Scope: Philosophy, Architecture and ALife -- 2.2 Interactive Evolution -- 3 EvoCurtain: The Evolutionary Window Curtain -- 3.1 Set-Up and Spatial Layout.
3.2 Genetic Representation -- 3.3 Interactive Evolutionary Setup -- 4 Experiments -- 4.1 Genetic Experimental Parameters -- 5 Results -- 5.1 Disagreement and Reconciliation -- 5.2 Control and Preconceptions -- 5.3 Time -- 5.4 Interdisciplinary Perspective -- 6 Discussion -- 7 Conclusion -- References -- Plecto: A Low-Level Interactive Genetic Algorithm for the Evolution of Audio -- 1 Introduction -- 2 Background -- 2.1 Genetic Algorithms -- 2.2 Creative Potential of Lower-Level Audio Engines -- 3 A Low-Level Audio Engine -- 4 Growing the Population -- 5 Searching the Population -- 5.1 Meaningful Representation of the Population -- 5.2 Creating GA Landscapes -- 5.3 Descriptive Icons -- 5.4 A Navigational Tool for Plecto's Scatterplot Interface -- 5.5 Refining Population Search -- 6 Conclusion -- References -- Correlation Between Human Aesthetic Judgement and Spatial Complexity Measure -- 1 Introduction -- 2 Informational Theories of Aesthetics -- 3 Spatial Complexity Measure -- 4 Analysis -- 5 Conclusions -- References -- Exploring the Visual Styles of Arcade Game Assets -- 1 Introduction -- 2 Related Work -- 2.1 Procedural Content Generation -- 2.2 Constrained Optimization and Constrained Novelty Search -- 3 Methodology -- 3.1 Spaceship Representation -- 3.2 Spaceship Evolution -- 3.3 Spaceship Evaluation -- 4 Experiments -- 4.1 Quality of Generated Results -- 4.2 Diversity of Generated Results -- 5 Discussion -- 6 Conclusion -- References -- Grammatical Music Composition with Dissimilarity Driven Hill Climbing -- 1 Introduction -- 2 Related Work -- 2.1 Composing with Evolutionary Computation -- 2.2 Musical Fitness -- 3 Method -- 3.1 Grammar -- 3.2 Fitness Measurement -- 3.3 Operators -- 4 Experiments -- 4.1 Melody Shapes -- 4.2 Experimental Variations -- 5 Results -- 5.1 Analysis of the Operators -- 5.2 Melodies -- 5.3 Discussion. 6 Conclusion and Future Work -- References -- Animating Typescript Using Aesthetically Evolved Images -- 1 Introduction -- 2 Aesthetic Evolution Basis -- 3 Animating Aesthetically Evolved Images -- 4 Mapping of Animated Functions to Typefaces -- 5 Compositing Animated Typefaces into Animated Typescript -- 6 Discussion and Conclusion -- References -- An Evolutionary Composer for Real-Time Background Music -- 1 Introduction -- 2 Environment and Musical States -- 2.1 Environment State -- 2.2 Musical State -- 3 EvoBackMusic Components -- 3.1 The Observer Agent -- 3.2 The Composer Agent -- 3.3 The Sound Agent -- 4 Evaluation Study -- 4.1 Methodology -- 4.2 Results -- 5 Conclusions -- References -- Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterl ... -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Stroke-Based Rendering Techniques -- 2.2 Brush Stroke Extraction -- 2.3 Flock Brush Simulation -- 3 Iterative Brush Stroke Path Extraction -- 3.1 Algorithm Overview -- 3.2 Implementation Aspects -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- A Comparison Between Representations for Evolving Images -- 1 Introduction -- 2 Representation, Fitness Landscapes and Locality -- 3 Short Review of Existing Representations for Images -- 4 The Proposed Representations -- 5 Experimental Study -- 5.1 Test Cases -- 5.2 Experimental Settings -- 5.3 Experimental Results Obtained on the Shapes Test Case -- 5.4 Experimental Results Obtained on the Shaded Shapes Test Case -- 5.5 Experimental Results Obtained on the Yin and Yang Test Case -- 5.6 Experimental Results Obtained on the Shaded Yin and Yang Test Case -- 5.7 Experimental Results Obtained on the Lena Test Case -- 5.8 Experimental Results on the Locality of the Representations -- 5.9 Best Evolved Individuals. 6 Conclusions and Future Work -- References -- Evolving L-Systems with Musical Notes -- 1 Introduction -- 2 Background -- 2.1 L-Systems -- 2.2 Evolutionary Algorithms -- 2.3 Musical Concepts -- 3 Related Work -- 4 System's Architecture -- 4.1 General Overview -- 4.2 Audiovisual Interpretation and Mappings -- 4.3 The Evolutionary Algorithm -- 4.4 Auxiliary Tools -- 5 Experimental Results and Discussion -- 6 Conclusion and Further Work -- References -- MetaCompose: A Compositional Evolutionary Music Composer -- 1 Introduction -- 2 Background -- 2.1 Procedurally Generated Music -- 2.2 Multi-Objective Optimization -- 2.3 Feasible/Infeasible 2-Population Genetic Algorithm -- 3 MetaCompose -- 4 Non-dominated Sorting Feasible-Infeasible 2 Populations -- 5 Composition Generation -- 5.1 Chord Sequence Generation -- 5.2 Melody Generation -- 5.3 Accompaniment Generation -- 6 Experiment Design -- 6.1 Music Clip Generation -- 7 Results and Analysis -- 7.1 Complete Generator Against All Other Groups -- 7.2 Complete Generator Against Random Chord Sequence Generation -- 7.3 Complete Generator Against Unconstrained Melody Generation -- 7.4 Complete Generator Against Constrained Melody Generation -- 7.5 Complete Generator Against Random Accompaniment Generation -- 8 Conclusion and Future Work -- References -- 'Turingalila' Visual Music on the Theme of Morphogenesis -- Abstract -- 1 Introduction -- 2 The Magic of Morphogenesis -- 3 Creating 'Turingalila' as Visual Music -- 4 Conclusion: Patterns of Change -- References -- Fitness and Novelty in Evolutionary Art -- 1 Introduction -- 2 State of the Art -- 3 Proposed Algorithm -- 3.1 Archive Assessment -- 3.2 Selection Mechanism -- 4 Evolving Figurative Images -- 5 Evolving Context Free Design Grammars -- 6 Results -- 6.1 Experimental Setup -- 6.2 Results -- 7 Conclusions and Future Work -- References -- Author Index. |
| Record Nr. | UNISA-996466003303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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