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Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Rolf Drechsler, Aniko Ekart, Anna I. Esparcia-Alcazar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang
| Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog / / edited by Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Rolf Drechsler, Aniko Ekart, Anna I. Esparcia-Alcazar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXV, 704 p.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Computer programming Computers Computer networks Computer science—Mathematics Artificial Intelligence Theory of Computation Programming Techniques Computer Hardware Computer Communication Networks Mathematical Applications in Computer Science |
| ISBN | 3-540-78761-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoCOMNET Contributions -- New Research in Nature Inspired Algorithms for Mobility Management in GSM Networks -- Adaptive Local Search for a New Military Frequency Hopping Planning Problem -- SS vs PBIL to Solve a Real-World Frequency Assignment Problem in GSM Networks -- Reconstruction of Networks from Their Betweenness Centrality -- A Self-learning Optimization Technique for Topology Design of Computer Networks -- A Comparative Study of Fuzzy Inference Systems, Neural Networks and Adaptive Neuro Fuzzy Inference Systems for Portscan Detection -- EvoFIN Contributions -- Evolutionary Single-Position Automated Trading -- Genetic Programming in Statistical Arbitrage -- Evolutionary System for Generating Investment Strategies -- Horizontal Generalization Properties of Fuzzy Rule-Based Trading Models -- Particle Swarm Optimization for Tackling Continuous Review Inventory Models -- Option Model Calibration Using a Bacterial Foraging Optimization Algorithm -- A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem -- Quantum-Inspired Evolutionary Algorithms for Financial Data Analysis -- EvoHOT Contributions -- Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures -- Analogue Circuit Control through Gene Expression -- Discovering Several Robot Behaviors through Speciation -- Architecture Performance Prediction Using Evolutionary Artificial Neural Networks -- Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation -- Evolving an Automatic Defect Classification Tool -- Deterministic Test Pattern Generator Design -- An Evolutionary Methodology for Test Generation for Peripheral Cores Via Dynamic FSM Extraction -- Exploiting MOEA to Automatically Geneate Test Programs for Path-Delay Faults in Microprocessors -- EvoIASP Contributions -- Evolutionary Object Detection by Means of Naïve Bayes Models Estimation -- An Evolutionary Framework for Colorimetric Characterization of Scanners -- Artificial Creatures for Object Tracking and Segmentation -- Automatic Recognition of Hand Gestures with Differential Evolution -- Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning -- A GA-Based Feature Selection Algorithm for Remote Sensing Images -- An Evolutionary Approach for Ontology Driven Image Interpretation -- Hybrid Genetic Algorithm Based on Gene Fragment Competition for Polyphonic Music Transcription -- Classification of Seafloor Habitats Using Genetic Programming -- Selecting Local Region Descriptors with a Genetic Algorithm for Real-World Place Recognition -- Object Detection Using Neural Networks and Genetic Programming -- Direct 3D Metric Reconstruction from Multiple Views Using Differential Evolution -- Discrete Tomography Reconstruction through a New Memetic Algorithm -- A Fuzzy Hybrid Method for Image Decomposition Problem -- Triangulation Using Differential Evolution -- Fast Multi-template Matching Using a Particle Swarm Optimization Algorithm for PCB Inspection -- EvoMUSART Contributions -- A Generative Representation for the Evolution of Jazz Solos -- Automatic Invention of Fitness Functions with Application to Scene Generation -- Manipulating Artificial Ecosystems -- Evolved Diffusion Limited Aggregation Compositions -- Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs -- AtomSwarm: A Framework for Swarm Improvisation -- Using DNA to Generate 3D Organic Art Forms -- Towards Music Fitness Evaluation with the Hierarchical SOM -- Evolutionary Pointillist Modules: Evolving Assemblages of 3D Objects -- An Artificial-Chemistry Approach to Generating Polyphonic Musical Phrases -- Implicit Fitness Functions for Evolving a Drawing Robot -- Free Flight in Parameter Space: A Dynamic Mapping Strategy for Expressive Free Impro -- Modelling Video Games’ Landscapes by Means of Genetic Terrain Programming - A New Approach for Improving Users’ Experience -- Virtual Constructive Swarm Compositions and Inspirations -- New-Generation Methods in an Interpolating EC Synthesizer Interface -- Composing Music with Neural Networks and Probabilistic Finite-State Machines -- TransFormer #13: Exploration and Adaptation of Evolution Expressed in a Dynamic Sculpture -- EvoNUM Contributions -- Multiobjective Tuning of Robust PID Controllers Using Evolutionary Algorithms -- Truncation Selection and Gaussian EDA: Bounds for Sustainable Progress in High-Dimensional Spaces -- Scalable Continuous Multiobjective Optimization with a Neural Network–Based Estimation of Distribution Algorithm -- Cumulative Step Length Adaptation for Evolution Strategies Using Negative Recombination Weights -- Computing Surrogate Constraints for Multidimensional Knapsack Problems Using Evolution Strategies -- A Critical Assessment of Some Variants of Particle Swarm Optimization -- An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation -- A Hybrid Particle Swarm Optimization Algorithm for Function Optimization -- EvoSTOC Contributions -- Memory Based on Abstraction for Dynamic Fitness Functions -- A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems -- Compound Particle Swarm Optimization in Dynamic Environments -- An Evolutionary Algorithm for Adaptive Online Services in Dynamic Environment -- EvoTHEORY Contributions -- A Study of Some Implications of the No Free Lunch Theorem -- Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances -- EvoTRANSLOG Contributions -- A Memetic Algorithm for the Team Orienteering Problem -- Decentralized Evolutionary Optimization Approach to the p-Median Problem -- Genetic Computation of Road Network Design and Pricing Stackelberg Games with Multi-class Users -- Constrained Local Search Method for Bus Fleet Scheduling Problem with Multi-depot with Line Change -- Evolutionary System with Precedence Constraints for Ore Harbor Schedule Optimization. |
| Record Nr. | UNISA-996466344303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings / / edited by Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi
| Applications of Evolutionary Computing [[electronic resource] ] : EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings / / edited by Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XXIV, 816 p.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer programming Computers Computer networks Computer science—Mathematics Computer vision Theory of Computation Programming Techniques Computer Hardware Computer Communication Networks Mathematical Applications in Computer Science Computer Vision |
| ISBN | 3-540-33238-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoBIO Contributions -- EvoCOMNET Contributions -- EvoHOT Contributions -- EvoIASP Contributions -- EvoINTERACTION Contributions -- EvoMUSART Contributions -- EvoSTOC Contributions. |
| Record Nr. | UNISA-996465792503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computing [[electronic resource] ] : Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC / / edited by Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero
| Applications of Evolutionary Computing [[electronic resource] ] : Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC / / edited by Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XX, 631 p.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer programming Computers Computer networks Computer science—Mathematics Computer vision Theory of Computation Programming Techniques Computer Hardware Computer Communication Networks Mathematical Applications in Computer Science Computer Vision |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoBIO Contributions -- Evolutionary Biclustering of Microarray Data -- A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins -- Tabu Search Method for Determining Sequences of Amino Acids in Long Polypeptides -- Order Preserving Clustering over Multiple Time Course Experiments -- Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease? -- A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction -- Neural Networks and Temporal Gene Expression Data -- Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data -- Genes Related with Alzheimer’s Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches -- Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins -- An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification -- Differential Evolution and Its Application to Metabolic Flux Analysis -- GEMPLS: A New QSAR Method Combining Generic Evolutionary Method and Partial Least Squares -- EvoCOMNET Contributions -- A Performance Evaluation Framework for Nature Inspired Routing Algorithms -- Empirical Models Based on Hybrid Intelligent Systems for Assessing the Reliability of Complex Networks -- A Study of an Iterated Local Search on the Reliable Communication Networks Design Problem -- Unsupervised Anomaly Detection Based n an Evolutionary Artificial Immune Network -- Evolutionary Algorithms for Location Area Management -- EvoHOT Contributions -- Evolutionary Design of Gate-Level Polymorphic Digital Circuits -- A Biological Development Model for the Design of Robust Multiplier -- Automatic Completion and Refinement of Verification Sets for Microprocessor Cores -- A Genetic Algorithm for VLSI Floorplanning Using O-Tree Representation -- Evolving Reversible Circuits for the Even-Parity Problem -- Counter-Based Ant Colony Optimization as a Hardware-Oriented Meta-heuristic -- Use of an Evolutionary Tool for Antenna Array Synthesis -- EvoIASP Contributions -- A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis -- A New Evolutionary Algorithm for Image Segmentation -- An Interactive EA for Multifractal Bayesian Denoising -- Object Detection for Computer Vision Using a Robust Genetic Algorithm -- An Evolutionary Infection Algorithm for Dense Stereo Correspondence -- Automatic Image Enhancement Driven by Evolution Based on Ridgelet Frame in the Presence of Noise -- Practical Evaluation of Efficient Fitness Functions for Binary Images -- Selective SVMs Ensemble Driven by Immune Clonal Algorithm -- Sensory-Motor Coordination in Gaze Control -- Region Merging for Severe Oversegmented Images Using a Hierarchical Social Metaheuristic -- Automated Photogrammetric Network Design Using the Parisian Approach -- Design of Fast Multidimensional Filters Using Genetic Algorithms -- Genetic-Fuzzy Optimization Algorithm for Adaptive Learning of Human Vocalization in Robotics -- Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning -- A Multistage Approach to Cooperatively Coevolving Feature Construction and Object Detection -- An Implicit Context Representation for Evolving Image Processing Filters -- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition -- EvoMUSART Contributions -- Open Problems in Evolutionary Music and Art -- Genetic Paint: A Search for Salient Paintings -- Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art -- The Electric Sheep Screen-Saver: A Case Study in Aesthetic Evolution -- Swarm Tech-Tiles Tim -- Evolutionary Methods for Ant Colony Paintings -- Evolutionary Search for Musical Parallelism -- Developing Fitness Functions for Pleasant Music: Zipf’s Law and Interactive Evolution Systems -- Understanding Expressive Music Performance Using Genetic Algorithms -- Toward User-Directed Evolution of Sound Synthesis Parameters -- Playing in the Pheromone Playground: Experiences in Swarm Painting -- Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy -- Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons -- Growing Music: Musical Interpretations of L-Systems -- Exploring Rhythmic Automata -- Extra-Music(ologic)al Models for Algorithmic Composition -- EvoSTOC Contributions -- The Memory Indexing Evolutionary Algorithm for Dynamic Environments -- Dynamic Decentralized Packet Clustering in Networks -- MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design -- Unified Particle Swarm Optimization in Dynamic Environments -- Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments -- A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems -- Assortative Mating in Genetic Algorithms for Dynamic Problems -- A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs. |
| Record Nr. | UNISA-996465677403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández
| Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (501 pages) : illustrations |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Education—Data processing Machine learning Image processing—Digital techniques Computer vision Artificial intelligence Software engineering Theory of Computation Computers and Education Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Software Engineering |
| ISBN | 3-030-72914-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sculpture Inspired Musical Composition, One Possible Approach -- Network Bending: Expressive Manipulation of Deep Generative Models -- SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-Part Musical Structures -- Identification of Pure Painting Pigment Using Machine Learning Algorithms -- Evolving Neural Style Transfer Blends -- Evolving Image Enhancement Pipelines -- Genre Recognition from Symbolic Music with CNNs -- Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks -- Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks -- Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity -- Auralization of Three-Dimensional Cellular Automata -- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction -- Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation -- The Enigma of Complexity -- SerumRNN: Step by Step Audio VST Effect Programming -- Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural Networks -- Raga Recognition in Indian Classical Music Using Deep Learning -- The Simulated Emergence of Chord Function -- Incremental Evolution of Stylized Images -- Dissecting Neural Networks Filter Responses for Artistic Style Transfer -- A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features -- A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation -- Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks -- "A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring when a Music Generation Algorithm Copies too Much -- From Music to Image - A Computational Creativity Approach -- “What is human?” A Turing Test for Artistic Creativity -- Mixed-Initiative Level Design with RL Brush -- Creating a Digital Mirror of Creative Practice -- An Application for Evolutionary Music Composition Using Autoencoders -- A Swarm Grammar-Based Approach to Virtual World Generation -- Co-Creative Drawing with One-Shot Generative Models. |
| Record Nr. | UNISA-996464386803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Music, Sound, Art and Design : 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández
| Artificial Intelligence in Music, Sound, Art and Design : 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (501 pages) : illustrations |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Education—Data processing Machine learning Image processing—Digital techniques Computer vision Artificial intelligence Software engineering Theory of Computation Computers and Education Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Software Engineering |
| ISBN | 3-030-72914-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sculpture Inspired Musical Composition, One Possible Approach -- Network Bending: Expressive Manipulation of Deep Generative Models -- SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-Part Musical Structures -- Identification of Pure Painting Pigment Using Machine Learning Algorithms -- Evolving Neural Style Transfer Blends -- Evolving Image Enhancement Pipelines -- Genre Recognition from Symbolic Music with CNNs -- Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks -- Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks -- Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity -- Auralization of Three-Dimensional Cellular Automata -- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction -- Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation -- The Enigma of Complexity -- SerumRNN: Step by Step Audio VST Effect Programming -- Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural Networks -- Raga Recognition in Indian Classical Music Using Deep Learning -- The Simulated Emergence of Chord Function -- Incremental Evolution of Stylized Images -- Dissecting Neural Networks Filter Responses for Artistic Style Transfer -- A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features -- A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation -- Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks -- "A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring when a Music Generation Algorithm Copies too Much -- From Music to Image - A Computational Creativity Approach -- “What is human?” A Turing Test for Artistic Creativity -- Mixed-Initiative Level Design with RL Brush -- Creating a Digital Mirror of Creative Practice -- An Application for Evolutionary Music Composition Using Autoencoders -- A Swarm Grammar-Based Approach to Virtual World Generation -- Co-Creative Drawing with One-Shot Generative Models. |
| Record Nr. | UNINA-9910484699303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| 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 | ||
| ||
Evolutionary and Biologically Inspired Music, Sound, Art and Design [[electronic resource] ] : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / / edited by Juan Romero, James McDermott, João Correia
| Evolutionary and Biologically Inspired Music, Sound, Art and Design [[electronic resource] ] : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / / edited by Juan Romero, James McDermott, João Correia |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIV, 132 p. 55 illus.) |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Algorithms Artificial intelligence Digital humanities User Interfaces and Human Computer Interaction Artificial Intelligence Digital Humanities |
| ISBN | 3-662-44335-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Table of Contents -- Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Sensitivity Analysis for Interactive Design with Parametric Models -- 3.2 Probabilistic Decision Making for the Genetic Operators -- 3.3 Sampling Modifications -- 4 Results -- 5 Conclusion -- References -- An Interface for Fitness Function Design -- 1 Introduction -- 2 State of the Art -- 3 The Framework -- 3.1 Ants' Simulation -- 3.2 Extracted Features -- 3.3 Evolutionary Engine -- 4 The Anatomy of a Fitness Function -- 5 Fitness Function Design Interface -- 6 Final Rendering Interface -- 7 Experimentation -- 8 Conclusions and Future Work -- References -- Balancing Act: Variation and Utility in Evolutionary Art -- 1 Introduction -- 1.1 Utility and Diversity -- 1.2 Related Work -- 2 Generative Mechanisms -- 2.1 Graph Interpretation -- 2.2 Animation and Sound -- 2.3 Evolution -- 3 Discussion -- 3.1 Composing Structure -- References -- Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits -- 1 Introduction -- 2 Jenn3d -- 3 Methodology -- 3.1 Evolutionary Approach -- 3.2 Encoding -- 3.3 Fitness Evaluation -- 4 Results -- 4.1 More Efficient Encoding -- 5 Conclusions -- References -- A Complexity Approach for Identifying Aesthetic Composite Landscapes -- 1 Introduction -- 2 State of the Art -- 3 Complexity Metrics and Presented Features -- 4 Experimental Dataset for Aesthetic Composition -- 5 Classification Method and Results Obtained -- 5.1 An Expert Overview -- 6 Future Work -- References -- Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value -- 1 Introduction -- 1.1 Goals -- 2 Related Work -- 2.1 Genetic Programming for Image Classification -- 3 Methodology.
3.1 Genetic Programming Configuration -- 3.2 Data Sets -- 4 Experiments and Results -- 4.1 Implementation -- 4.2 Experiment with Imagene Evolved Art -- 4.3 Experiment with Photographs -- 4.4 Discussion -- 5 Conclusion -- References -- Authorship and Aesthetics Experiments:Comparison of Results between Human and Computational Systems -- 1 Introduction -- 2 Experiments Involving Humans -- 2.1 Authorship Experiments -- 2.2 Aesthetics Appreciation -- 3 Developed System -- 4 Results: Authorship Test -- 5 Results: Aesthetic Validation Test -- 6 Conclusions -- References -- An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images -- 1 Introduction -- 2 On the Role of Novelty -- 3 Our Fitness Function -- 4 Evolved Images -- 5 Diversity or Plasticity? -- 6 Conclusion -- References -- A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales -- 1 Introduction -- 2 Background -- 3 Data Representation -- 3.1 Musical Corpora -- 3.2 Harmony Extraction -- 3.3 Harmony Representation -- 4 User Interface Design -- 5 Markov Model -- 6 Evolutionary Algorithm -- 6.1 Power-Law Metrics -- 6.2 Genotype Representation -- 6.3 Novelty Search -- 6.4 Melody Guided Fitness -- 7 Conclusion and Future Work -- References -- Genomic: Evolving Sound Treatments Using Genetic Algorithms -- 1 Motivation -- 2 Past Work: Evolutionary Systems -- 3 Genomic: An Evolutionary System for Sound Treatments -- 3.1 A Note on Terminology -- 3.2 Genotype and Phenotype -- 3.3 Running the GA -- 3.4 The Fitness Function -- 3.5 Implementation -- 4 Goals for Evolution -- 4.1 Evolving Novelty -- 4.2 Evolving towards a Target -- 5 Extending Genomic with CorpusDB -- 5.1 Developing a Corpus from Several Seed Sounds -- 5.2 Observations -- 6 Conclusion and Future Work -- References -- Evolving an Aircraft Using a Parametric Design System. 1 Introduction -- 2 Parametric Design -- 3 Computational Fluid Dynamics -- 4 Evolutionary Aircraft Optimisation -- 5 Optimisation of Blended Wing Body Design -- 5.1 Experimental Settings -- 6 Optimisation Results -- 7 Conclusions -- References -- Author Index. |
| Record Nr. | UNISA-996202528303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Evolutionary and Biologically Inspired Music, Sound, Art and Design : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / / edited by Juan Romero, James McDermott, João Correia
| Evolutionary and Biologically Inspired Music, Sound, Art and Design : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / / edited by Juan Romero, James McDermott, João Correia |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIV, 132 p. 55 illus.) |
| Disciplina | 005.11 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Algorithms Artificial intelligence Digital humanities User Interfaces and Human Computer Interaction Artificial Intelligence Digital Humanities |
| ISBN | 3-662-44335-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Table of Contents -- Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Sensitivity Analysis for Interactive Design with Parametric Models -- 3.2 Probabilistic Decision Making for the Genetic Operators -- 3.3 Sampling Modifications -- 4 Results -- 5 Conclusion -- References -- An Interface for Fitness Function Design -- 1 Introduction -- 2 State of the Art -- 3 The Framework -- 3.1 Ants' Simulation -- 3.2 Extracted Features -- 3.3 Evolutionary Engine -- 4 The Anatomy of a Fitness Function -- 5 Fitness Function Design Interface -- 6 Final Rendering Interface -- 7 Experimentation -- 8 Conclusions and Future Work -- References -- Balancing Act: Variation and Utility in Evolutionary Art -- 1 Introduction -- 1.1 Utility and Diversity -- 1.2 Related Work -- 2 Generative Mechanisms -- 2.1 Graph Interpretation -- 2.2 Animation and Sound -- 2.3 Evolution -- 3 Discussion -- 3.1 Composing Structure -- References -- Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits -- 1 Introduction -- 2 Jenn3d -- 3 Methodology -- 3.1 Evolutionary Approach -- 3.2 Encoding -- 3.3 Fitness Evaluation -- 4 Results -- 4.1 More Efficient Encoding -- 5 Conclusions -- References -- A Complexity Approach for Identifying Aesthetic Composite Landscapes -- 1 Introduction -- 2 State of the Art -- 3 Complexity Metrics and Presented Features -- 4 Experimental Dataset for Aesthetic Composition -- 5 Classification Method and Results Obtained -- 5.1 An Expert Overview -- 6 Future Work -- References -- Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value -- 1 Introduction -- 1.1 Goals -- 2 Related Work -- 2.1 Genetic Programming for Image Classification -- 3 Methodology.
3.1 Genetic Programming Configuration -- 3.2 Data Sets -- 4 Experiments and Results -- 4.1 Implementation -- 4.2 Experiment with Imagene Evolved Art -- 4.3 Experiment with Photographs -- 4.4 Discussion -- 5 Conclusion -- References -- Authorship and Aesthetics Experiments:Comparison of Results between Human and Computational Systems -- 1 Introduction -- 2 Experiments Involving Humans -- 2.1 Authorship Experiments -- 2.2 Aesthetics Appreciation -- 3 Developed System -- 4 Results: Authorship Test -- 5 Results: Aesthetic Validation Test -- 6 Conclusions -- References -- An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images -- 1 Introduction -- 2 On the Role of Novelty -- 3 Our Fitness Function -- 4 Evolved Images -- 5 Diversity or Plasticity? -- 6 Conclusion -- References -- A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales -- 1 Introduction -- 2 Background -- 3 Data Representation -- 3.1 Musical Corpora -- 3.2 Harmony Extraction -- 3.3 Harmony Representation -- 4 User Interface Design -- 5 Markov Model -- 6 Evolutionary Algorithm -- 6.1 Power-Law Metrics -- 6.2 Genotype Representation -- 6.3 Novelty Search -- 6.4 Melody Guided Fitness -- 7 Conclusion and Future Work -- References -- Genomic: Evolving Sound Treatments Using Genetic Algorithms -- 1 Motivation -- 2 Past Work: Evolutionary Systems -- 3 Genomic: An Evolutionary System for Sound Treatments -- 3.1 A Note on Terminology -- 3.2 Genotype and Phenotype -- 3.3 Running the GA -- 3.4 The Fitness Function -- 3.5 Implementation -- 4 Goals for Evolution -- 4.1 Evolving Novelty -- 4.2 Evolving towards a Target -- 5 Extending Genomic with CorpusDB -- 5.1 Developing a Corpus from Several Seed Sounds -- 5.2 Observations -- 6 Conclusion and Future Work -- References -- Evolving an Aircraft Using a Parametric Design System. 1 Introduction -- 2 Parametric Design -- 3 Computational Fluid Dynamics -- 4 Evolutionary Aircraft Optimisation -- 5 Optimisation of Blended Wing Body Design -- 5.1 Experimental Settings -- 6 Optimisation Results -- 7 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910484481803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||