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1. |
Record Nr. |
UNINA9910455901303321 |
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Autore |
Soufas C. Christopher |
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Titolo |
The subject in question [[electronic resource] ] : early contemporary Spanish literature and Modernism / / C. Christopher Soufas |
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Pubbl/distr/stampa |
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Washington, D.C., : Catholic University of America Press, c2007 |
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ISBN |
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Descrizione fisica |
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1 online resource (296 p.) |
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Disciplina |
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Soggetti |
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Spanish literature - 20th century - History and criticism |
Modernism (Literature) - Spain |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. 255-265) and index. |
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Nota di contenuto |
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The Spanish literary generation and early contemporary literary history -- Modernism and Spain : aesthetics, ideology, tradition, subjectivity -- From the labyrinth : the Spanish modernist novel and the "new man" -- Modernist hieroglyphics : geographies of presence in the poetry of Jorge Guillén and Vicente Aleixandre -- Absence and experience in the poetry of Luis Cernuda and Rafael Alberti -- Subjective fragmentation in the theater of Federico García Lorca. |
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2. |
Record Nr. |
UNINA9910686789703321 |
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Titolo |
Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by Colin Johnson, Nereida Rodríguez-Fernández, Sérgio M. Rebelo |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031299568 |
9783031299551 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (438 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13988 |
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Disciplina |
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Soggetti |
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Computer science |
Machine learning |
Education - Data processing |
Signal processing |
Information storage and retrieval systems |
Computer vision |
Theory of Computation |
Machine Learning |
Computers and Education |
Signal, Speech and Image Processing |
Information Storage and Retrieval |
Computer Vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Long Talks -- LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature -- Chordal embeddings based on topology of the tonal space -- Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs -- Automatically Adding to Artistic Cultures -- Extending Generative Neo-Riemannian Theory for Event-based Soundtrack Production -- Is beauty in the age of the beholder -- Extending the Visual Arts experience: Sonifying Paintings with AI -- Application of Neural Architecture Search to Instrument |
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Recognition in Polyphonic Audio -- AI-rmonies of the Spheres -- SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders -- SketchSynth: cross-modal control of sound synthesis -- Towards the Evolution of Prompts with MetaPrompter -- Is Writing Prompts Really Making Art -- Using GPT-3 to achieve semantically relevant data sonificiation for an art installation -- Using Autoencoders to Generate Skeleton-based Typography -- Visual Representationof the Internet Consumption in the European Union -- GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers -- Artistic Curve Steganography Carried by Musical Audio -- LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation -- Searching For Human Bias Against AI-Composed Music -- Short Talks -- Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis -- Transposition of Simple Waveforms from Raw Audio with Deep Learning -- AI-aided Ceramic Sculptures: Bridging Deep Learning with Materiality -- OSC-Qasm: Interfacing Music Software with Quantum Computing -- EvoDesigner: Aiding the exploration of innovative graphic design solutions -- Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features of Audio Signals -- Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments. . |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture. |
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