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Advanced Signal Processing in Wearable Sensors for Health Monitoring
| Advanced Signal Processing in Wearable Sensors for Health Monitoring |
| Autore | Abbod Maysam |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
Anomaly Detection
arterial blood pressure artificial neural network automated dietary monitoring behavioral signals biomedical signal processing blind source separation Cardiovascular Disease central venous pressure continuous arterial blood pressure deep convolutional autoencoder diastolic blood pressure drowsiness detection eating detection eating timing error analysis ECG EEG electrocardiography extreme learning machine frequency-domain features genetic algorithm heart rate measurement hemodynamics Hill muscle model independent component analysis intracranial pressure joint moment prediction long short-term memory machine learning Machine Learning motion artifact multi-wavelength multicriteria optimization multilayer perceptron myocardial infarction n/a non-invasive system online input variables pain detection photoplethysmography physiological signals pulmonary arterial pressure remote BCG remote HR remote PPG Review Signal Processing smart eyeglasses spline stress detection systolic blood pressure vectorcardiography wearable health monitoring wearable sensor |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566462503321 |
Abbod Maysam
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Financial Machine Learning [[electronic resource] /] / de Prado, Marcos
| Advances in Financial Machine Learning [[electronic resource] /] / de Prado, Marcos |
| Autore | de Prado Marcos |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Wiley, , 2018 |
| Descrizione fisica | 1 online resource (400 pages) |
| Disciplina | 332.0285/631 |
| Soggetto non controllato |
Finance
Machine Learning Business & Economics Computers |
| ISBN | 1-119-48211-9 |
| Classificazione | BUS036000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: About the Author Preamble 1. Financial Machine Learning as a Distinct Subject Part 1: Data Analysis 2. Financial Data Structures 3. Labeling 4. Sample Weights 5. Fractionally Differentiated Features Part 2: Modelling 6. Ensemble Methods 7. Cross-validation in Finance 8. Feature Importance 9. Hyper-parameter Tuning with Cross-Validation Part 3: Backtesting 10. Bet Sizing 11. The Dangers of Backtesting 12. Backtesting through Cross-Validation 13. Backtesting on Synthetic Data 14. Backtest Statistics 15. Understanding Strategy Risk 16. Machine Learning Asset Allocation Part 4: Useful Financial Features 17. Structural Breaks 18. Entropy Features 19. Microstructural Features Part 5: High-Performance Computing Recipes 20. Multiprocessing and Vectorization 21. Brute Force and Quantum Computers 22. High-Performance Computational Intelligence and Forecasting Technologies Dr. Kesheng Wu and Dr. Horst Simon Index. |
| Record Nr. | UNINA-9910796406903321 |
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de Prado Marcos
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| Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen
| AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
| Descrizione fisica | 1 online resource (290 p.) |
| Collana | KI-Kritik |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
Algorithms
Big Data Computer Sciences Deep Learning Digital Media Ethics Internet Machine Learning Media Philosophy Media Studies Sociology of Media Technology |
| ISBN | 3-8394-5732-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Editorial -- Contents -- Preface -- Learning Algorithms -- Transgressing the Boundaries -- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving -- Limits and Prospects of Big Data and Small Data Approaches in AI Applications -- Artificial Intelligence and/as Risk -- When You Can’t Have What You Want -- Man-Machines -- Trends in Explainable Artificial Intelligence for Non-Experts -- Machine Dreaming -- Let’s Fool That Stupid AI -- Authors |
| Record Nr. | UNISA-996545359503316 |
| Bielefeld : , : transcript Verlag, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen
| AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
| Descrizione fisica | 1 online resource (290 p.) |
| Collana | KI-Kritik |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
Algorithms
Big Data Computer Sciences Deep Learning Digital Media Ethics Internet Machine Learning Media Philosophy Media Studies Sociology of Media Technology |
| ISBN |
9783839457320
3839457327 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Editorial -- Contents -- Preface -- Learning Algorithms -- Transgressing the Boundaries -- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving -- Limits and Prospects of Big Data and Small Data Approaches in AI Applications -- Artificial Intelligence and/as Risk -- When You Can’t Have What You Want -- Man-Machines -- Trends in Explainable Artificial Intelligence for Non-Experts -- Machine Dreaming -- Let’s Fool That Stupid AI -- Authors |
| Record Nr. | UNINA-9910743294803321 |
| Bielefeld : , : transcript Verlag, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence - Intelligent Art? : Human-Machine Interaction and Creative Practice
| Artificial Intelligence - Intelligent Art? : Human-Machine Interaction and Creative Practice |
| Autore | Voigts Eckart |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , 2024 |
| Descrizione fisica | 1 online resource (293 pages) |
| Disciplina | 700.285 |
| Altri autori (Persone) |
AuerRobin Markus
ElfleinDietmar KunasSebastian RöhnertJan SeelingerChristoph |
| Collana | Digitale Gesellschaft Series |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
AI Art
Art Creativity Digital Media Digitalization GAN GPT Literature Machine Learning Media Aesthetics Media Art Media Philosophy Media Studies Media Music NLP |
| ISBN |
9783839469224
3839469228 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Artificial Intelligence – Intelligent Art? An Introduction -- AI, Automation, Creativity, Cognitive Labor -- Dumb Meaning: Machine Learning and Artificial Semantics -- Artist-Guided Neural Networks – Automated Creativity or Tools for Extending Minds? -- Embodied Voice and AI: a Techno-Social System in Miniature -- Sound of Contagion – An Artistic Research Project Exploring A.I. as a Creative Tool for Transmedial Storytelling -- Challenges and Opportunities for Computational Construction of Narratives -- The Marcel Duchamp Case in, against, or after Artificial Creativity -- Creativity and Function -- Contemplating Automaton Consciousness through Creativity in Rokuro Inui’s Automatic Eve -- Where Machine and Muse Meet – Towards a Creativity of AI Art -- Material Films in the Age of Artificial Intelligence. Some Remarks on Automated Creativity in Contemporary Experimental Film -- Dear GPT-3: Collaborative Writing with Neural Networks -- AFFIRMATIVE – REJECT. With and Against AI -- Artificial Intelligence in Songwriting and Composing – Perspectives and Challenges in Creative Practices -- On Human-Machine Relationship and the Notion of an Artificial Intelligence in Musical Practice -- The Upcoming Change in Human Musical Thinking. What Does a Music Professional do in the Age of AI? -- The Roughness of Neural Networks. Jimi Hendrix, Holly Herndon, GPT-3, Timbre Transfer and the Promising Failure Aesthetics of Musical AIs -- Digital Aesthetics: A Symbolism of the Body and a More-than-Human Mode of Enquiry -- About the Authors |
| Record Nr. | UNINA-9910861956903321 |
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Voigts Eckart
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| Bielefeld : , : transcript Verlag, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others]
| Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others] |
| Autore | Smith Adam Leon |
| Pubbl/distr/stampa | Swindon, UK : , : BCS Learning and Development Ltd, , [2022] |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Soggetto non controllato |
Computer Software
Artificial Intelligence Machine Learning Computers |
| ISBN | 1-78017-578-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover -- Half-Title Page -- Bcs, The Chartered Institute For It -- Title Page -- Copyright Page -- Contents -- List of figures and tables -- About the authors -- Abbreviations -- Glossary -- Preface -- 1. Introduction -- The challenges of testing AI -- Summary -- 2. AI Trustworthiness and Quality -- Trustworthiness -- AI quality problems -- A model for measuring AI quality -- Regulation of AI quality -- Summary -- 3. Quality and Bias -- Consequences of the bias definition -- Bias in everyday life -- Unintended bias -- Simpson's paradox -- Summary -- 4. Testing Machine Learning Systems -- The role of a tester -- The nature of ML -- Testing metrics -- Testing techniques -- Testing AI-specific characteristics -- Non-deterministic systems -- Transparency, explainability and interpretability -- Summary -- 5. AI-based Test Automation -- Quality assurance -- Testing versus test automation -- AI in unit test automation -- AI in UI level test automation -- Applying AI to other tasks in software quality assurance -- Evaluating tool support for testing -- Tasks that will likely remain challenging for AI -- Summary -- 6. Ontologies for Software Testing -- About ontologies -- Using ontologies for software testing -- Trends in ontology-driven software testing -- Summary -- 7. Shifting Right into the Metaverse with Digital Twin Testing -- The shift-right approach to testing -- Cognitive engineering principles -- Digital twin concept in shifting right -- Case study: helping the community stay safe during the pandemic -- Case study: Smart City Data Exchange - testing in the metaverse -- Shifting right into the metaverse -- Evolution, over revolution -- Summary -- References -- Index. |
| Record Nr. | UNINA-9910795666703321 |
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Smith Adam Leon
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| Swindon, UK : , : BCS Learning and Development Ltd, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others]
| Artificial intelligence and software testing : building systems you can trust / / Adam Leon Smith [and five others] |
| Autore | Smith Adam Leon |
| Pubbl/distr/stampa | Swindon, UK : , : BCS Learning and Development Ltd, , [2022] |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Soggetto non controllato |
Computer Software
Artificial Intelligence Machine Learning Computers |
| ISBN | 1-78017-578-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover -- Half-Title Page -- Bcs, The Chartered Institute For It -- Title Page -- Copyright Page -- Contents -- List of figures and tables -- About the authors -- Abbreviations -- Glossary -- Preface -- 1. Introduction -- The challenges of testing AI -- Summary -- 2. AI Trustworthiness and Quality -- Trustworthiness -- AI quality problems -- A model for measuring AI quality -- Regulation of AI quality -- Summary -- 3. Quality and Bias -- Consequences of the bias definition -- Bias in everyday life -- Unintended bias -- Simpson's paradox -- Summary -- 4. Testing Machine Learning Systems -- The role of a tester -- The nature of ML -- Testing metrics -- Testing techniques -- Testing AI-specific characteristics -- Non-deterministic systems -- Transparency, explainability and interpretability -- Summary -- 5. AI-based Test Automation -- Quality assurance -- Testing versus test automation -- AI in unit test automation -- AI in UI level test automation -- Applying AI to other tasks in software quality assurance -- Evaluating tool support for testing -- Tasks that will likely remain challenging for AI -- Summary -- 6. Ontologies for Software Testing -- About ontologies -- Using ontologies for software testing -- Trends in ontology-driven software testing -- Summary -- 7. Shifting Right into the Metaverse with Digital Twin Testing -- The shift-right approach to testing -- Cognitive engineering principles -- Digital twin concept in shifting right -- Case study: helping the community stay safe during the pandemic -- Case study: Smart City Data Exchange - testing in the metaverse -- Shifting right into the metaverse -- Evolution, over revolution -- Summary -- References -- Index. |
| Record Nr. | UNINA-9910808154903321 |
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Smith Adam Leon
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| Swindon, UK : , : BCS Learning and Development Ltd, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine
| Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine |
| Autore | Brinkschulte Lars |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2021 |
| Descrizione fisica | 1 online resource (264 p.) |
| Collana | Karlsruher Schriftenreihe Fahrzeugsystemtechnik |
| Soggetto topico | Mechanical engineering & materials |
| Soggetto non controllato |
assistance systems
Assistenzsysteme damage reduction machine learning Machine Learning model-based development Modellbasierte Entwicklung Radlader Schädigungsreduktion wheel loader |
| ISBN | 1000130176 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910493738203321 |
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Brinkschulte Lars
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| Karlsruhe, : KIT Scientific Publishing, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beyond Quantity : Research with Subsymbolic AI / / ed. by Alexander Waibel, Jens Schröter, Fabian Retkowski, Markus Ramsauer, Anna Echterhölter, Andreas Sudmann
| Beyond Quantity : Research with Subsymbolic AI / / ed. by Alexander Waibel, Jens Schröter, Fabian Retkowski, Markus Ramsauer, Anna Echterhölter, Andreas Sudmann |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
| Descrizione fisica | 1 online resource (360 p.) |
| Collana | KI-Kritik |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
Artificial Neural Networks
Computer Sciences Digital Media Digitalization Machine Learning Media Studies Research on Research Sociology of Media Sociology of Science Subsymbolic AI Technology |
| ISBN | 3-8394-6766-7 |
| Classificazione | ST 300 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Acknowledgements -- Introduction -- Research with Subsymbolic AI -- When Achilles met the tortoise -- From algorithmic thinking to thinking machines -- A new canary in the coal mine? -- Cross-interactions between AI and epistemology -- AI and the work of patterns -- Artificial Intelligence in medicine -- Subsymbolic, hybrid and explainable AI -- AI-based approaches in Cultural Heritage -- Interfaces of AI -- Media and the transformative potential of AI in the scientific field -- Putting the AI into social science -- Science in the era of ChatGPT, large language models and generative AI -- The current state of summarization -- Opacity and reproducibility in data processing -- AI in mathematics -- Artificial Intelligence as a cultural technique -- List of contributors -- Editorial |
| Record Nr. | UNISA-996565570303316 |
| Bielefeld : , : transcript Verlag, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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