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AI 2011: Advances in Artificial Intelligence [[electronic resource] ] : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011, Proceedings / / edited by Dianhui Wang, Mark Reynolds
AI 2011: Advances in Artificial Intelligence [[electronic resource] ] : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011, Proceedings / / edited by Dianhui Wang, Mark Reynolds
Edizione [1st ed. 2011.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Descrizione fisica 1 online resource (XVII, 821 p.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Application software
Computers
Information storage and retrieval
Data mining
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Information Systems Applications (incl. Internet)
Computation by Abstract Devices
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Soggetto genere / forma Kongress2011.Perth (Westaustralien)
Conference papers and proceedings.
Soggetto non controllato AI
ISBN 3-642-25832-8
Classificazione SS 4800
004
DAT 700f
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Title page -- Preface -- Organization -- Table of Contents -- Session 1: Data Mining and Knowledge Discovery -- Guided Rule Discovery in XCS for High-Dimensional Classification Problems -- Introduction -- Background -- XCS Overview -- Related Work -- Model -- Experiments -- Data Sets -- Parameters -- Results -- Conclusions -- References -- Motif-Based Method for Initialization the K-Means Clustering for Time Series Data -- Introduction -- Background -- Dimensionality Reduction -- Clustering for Time Series Data -- locations are often termed the seeds for the k-Means algorithm.2.3 Time Series Motifs and the Brute-Force Algorithm for Finding Motifs -- The Proposed Clustering Method for Time Series Data -- How to Speed Up the Brute-Force Algorithm for Finding 1-Motifs -- How to Derive Initial Centers from Results of K-Means Clustering on 1-Motifs -- Experimental Evaluation -- Conclusions -- References -- Semi-Supervised Classification Using Tree-Based Self-Organizing Maps -- Introduction -- The Tree-Based Topology Oriented SOM -- The TTOSOM-Based Classifier -- Experimental Setup -- Results -- Conclusions -- References -- The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning -- Introduction -- Value of Ordinal Information -- Testing -- Results -- Discovering Orders -- Developing Methods -- Testing Order Discovery -- Random Orders for Ensemble Classifiers -- Conclusions and Further Work -- References -- Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data -- Introduction -- The MITI Algorithm -- Experimental Results -- MIRI: Using MITI to Learn Rule Sets -- Experimental Results -- Building Ensemble Classifiers -- Experimental Results -- Conclusions -- References -- Automatically Measuring the Quality of User Generated Content in Forums -- Introduction.
Problem Definition -- UGCQ Assessment Model -- Experiment -- Datasets -- Feature Selection -- Performance Evaluation -- Post Quality Classification -- Results -- Friedman Test -- Nemenyi Test -- Discussion -- Related Work -- Conclusion -- References -- Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features -- Introduction -- Related Work -- Genetically Enhanced Feature Selection -- Genetic Representation -- Wrapped Classifier Fitness Function -- Random Crossover -- Mutation -- Highest Fitness (Greedy) Selection -- Weighted Random Selection -- Weighted Random Selection with Simulated Annealing -- Complexity -- Experimental Results -- Conclusion -- References -- Penalized Least Squares for Smoothing Financial Time Series -- Introduction -- Current Methods -- Our Proposed Method -- Experiment Description -- Data -- Smoothness (Noise) Function -- Lag Function -- Cross Validation -- Results -- Conclusions -- References -- Logistic Regression with the Nonnegative Garrote -- Introduction -- Nonnegative Garrote -- Simulation -- Simulated Data -- Path Consistency -- Initial Estimates for the NNG -- Real Data -- Discussion and Recommendations -- References -- Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets -- Introduction -- The Consensus Clustering Problem -- Objective Function -- The Genetic Algorithm -- The Breast Cancer Datasets -- Results -- Comparison with Existing Subtypes -- Conclusion -- References -- Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory -- Introduction -- Background -- Bayesian Network (BN) -- Dynamic Bayesian Network (DBN) -- Information Theoretic Quantities -- The Method -- The Framework for Representation -- Finding the Appropriate Search Strategy -- Finding the Intra-slice Arc Directions.
Simulation and Results -- Synthetic Network -- Real-Life Biological Data -- Conclusion -- References -- A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps -- Introduction -- Laplacian Eigenmaps and Spectral Clustering -- Sparse Grids -- Sparse-Grid-Based Out-of-Sample Extension -- Experiments -- Conclusion -- References -- Distribution Based Data Filtering for Financial Time Series Forecasting -- Introduction -- Related Work -- Distribution Based Samples Removing Algorithm -- Distance Value - Threshold Based Decision -- Distance Value - Percentage Based Decision -- Datasets -- Experiments -- Conclusion -- References -- Sequential Feature Selection for Classification -- Introduction -- Framework -- General Idea -- Sequential Classification -- Action Selection without Replacement -- Solving the POMDP -- Experiments and Discussion -- Handwritten MNIST Digit Classification -- Diabetes Dataset with Naive Bayes Classification -- Discussion -- Conclusion -- References -- Long-Tail Recommendation Based on Reflective Indexing -- Introduction -- Novelty as an Important Value of Long-Tail Recommendations -- Methodological Assumptions -- Contribution of the Paper -- Algebraic Model for PRI -- Modeling User-Item Dependencies as a Probability Space -- Reflective Data Processing -- The PRI Algorithm -- Evaluation -- Data Sets -- Recommendation Quality Evaluation -- Conclusions -- References -- Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus -- Introduction -- Related Work -- The Challenges of Author Name Disambiguation on PubMed -- Related Work on Disambiguation of PubMed Authors -- A Multi-evidence Author Disambiguation System -- Disambiguation Using Organisation Names and Addresses -- Disambiguation Using Co-author Network -- Evaluation of the Disambiguation Technique.
Accuracy of the Proposed Disambiguation Technique -- Evaluation of NetClus Results -- Conclusion and Future Work -- References -- Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management -- Introduction -- Background: Mining Diabetic Patient Data -- Application -- Chronic Disease Management (CDM) -- Chronic Disease Management Network (cdmNet) -- Chronic Disease Management Network - Business Intelligence (cdmNet-BI) Module -- The Self-Organizing Map (SOM) -- The Growing Self-Organizing Map (GSOM) -- Patterns in Diabetes Management -- Analysis of Features Common to Any Individual -- Analysis of Common Features with Diabetes Specific Medical Features -- Patterns Recognised from Diabetes Data: Outcomes -- Conclusions and Future Work -- References -- Distance-Based Feature Selection on Classification of Uncertain Objects -- Introduction -- Related Work -- Problem Definition -- UK-Means -- Supervised UK-Means -- Algorithms -- Averaging Approach -- Distribution-Based Approach -- Experimental Results -- Data Sets -- Performance Evaluation -- Conclusion -- References -- Session 2: Machine Learning -- Closure Spaces of Isotone Galois Connections and Their Morphisms -- Introduction -- Preliminaries: Matrices, Decompositions, Concept Lattices -- Closure Spaces Induced by (^,V) -- Morphisms of c-Closure Spaces -- Isomorphic c-Closure Spaces -- Conclusions -- References -- Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data -- Introduction -- Related Work: Ensemble Learning for Class Imbalance -- Multi-Objective GP (MOGP) for Evolving Ensembles -- GP Framework for Classification -- MOGP Fitness -- MOGP Search -- MOGP Ensemble Performance -- Evolutionary Parameters and Unbalanced Data Sets -- MOGP Ensemble Results -- Ensemble Pruning -- Fitness-Based Pruning.
GP for Evolving Composite Voting Trees -- Performance of Ensembles Using Puning Methods -- Conclusions -- References -- Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs -- Introduction -- Preliminary -- Bayesian Networks -- Parameter Learning Problem for BNs -- Proposed Method -- Encoding and Compiling -- Learning -- Experiments -- Conclusion and Related Work -- References -- An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution -- Introduction -- Designed Framework -- Evaluation Metrics -- Experimental Setting -- Selection of Base Learners -- Data-Sets -- Experimental Results Analysis -- Statistical Test -- Comparison between Bagging and Single Learners -- Comparison between Bagging Predictors -- Conclusion -- References -- A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems -- Introduction -- Bayesian Feature Ranking (BFR) Algorithm -- Discussion and Results -- Simulated Data -- Real Data -- Conclusion -- References -- Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method -- Introduction -- Random Model Trees -- Experiments -- Linear Regression -- Gaussian Process Regression -- Additive Groves -- Random Model Trees -- Results -- Relative Mean Absolute Error -- Conclusions -- References -- Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold -- Introduction -- Proposed Method -- Multi-class Lagrangian SVM -- Learning the Projection -- Experiments -- Conclusion -- References -- Bagging Ensemble Selection -- Introduction -- Bagging Ensemble Selection -- Experimental Results -- Comparison of Bagging Ensemble Selection Algorithms to the Forward Ensemble Selection Algorithms -- Comparison of Bagging Ensemble Selection Algorithms to Other Ensemble Learning Algorithms -- Conclusions.
References.
Record Nr. UNISA-996465973703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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AI and Financial Technology
AI and Financial Technology
Autore Giudici Paolo
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 online resource (92 p.)
Soggetto topico Computer science
Science: general issues
Soggetto non controllato AI
Blockchain
FinTech
machine learning
P2P lending
RegTech
SupTech
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557669603321
Giudici Paolo  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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AI Art : Machine Visions and Warped Dreams
AI Art : Machine Visions and Warped Dreams
Autore Zylinska Joanna
Pubbl/distr/stampa London, : Open Humanities Press, 2020
Descrizione fisica 1 online resource (181 p.)
Soggetto topico Information technology: general topics
Soggetto non controllato AI
algorithmic art
computers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti AI Art
Record Nr. UNINA-9910557180503321
Zylinska Joanna  
London, : Open Humanities Press, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The AI marketing canvas : a five-stage road map to implementing artificial intelligence in marketing / / Rajkumar Venkatesan & Jim Lecinski
The AI marketing canvas : a five-stage road map to implementing artificial intelligence in marketing / / Rajkumar Venkatesan & Jim Lecinski
Autore Venkatesan Rajkumar
Pubbl/distr/stampa Stanford, California : , : Stanford Business Books, , [2021]
Descrizione fisica 1 online resource (272 p.)
Disciplina 658.800285/63
Soggetto topico Artificial intelligence - Marketing applications
Soggetto non controllato AI for marketing
AI strategy
AI
artificial intelligence
digital marketing
machine learning
marketing strategy
marketing
one-to-one marketing
online marketing
ISBN 1-5036-2804-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Notice to Readers -- Figures -- PART 1. The Challenge and the Solution -- PART 2. AI and Marketing Essentials -- PART 3. The AI Marketing Canvas -- PART 4. Implementation -- Acknowledgments -- Notes -- Index -- About the Authors
Record Nr. UNINA-9910554206203321
Venkatesan Rajkumar  
Stanford, California : , : Stanford Business Books, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Intelligence in Oral Health
Artificial Intelligence in Oral Health
Autore Lee Jae-Hong
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (190 p.)
Soggetto topico Medicine
Soggetto non controllato machine learning
artificial intelligence
malocclusion
diagnostic imaging
active learning
maxillary sinusitis
convolutional neural network
deep learning
segmentation
oral microbiota
LEfSe
PCoA
alloprevotella
prevotella
core microbiota
artificial neural networks
oral cancer diagnosis
oral cancer prediction
pit and fissure sealants
caries assessment
visual examination
clinical evaluation
convolutional neural networks
transfer learning
deep learning network
YOLOv4
mandibular third molar
inferior alveolar nerve
contact relationship
panoramic radiograph
deep learning methods
caries diagnosis
dental panoramic images
radiography
Fourier transform infrared spectroscopy
FTIR imaging
spectral biomarker
multivariate analysis
discriminant model
oral squamous cell carcinoma
oral epithelial dysplasia
oral potentially malignant disorder
risk stratification
early oral cancer detection
dentigerous cysts
histopathology images
image classification
odontogenic keratocysts
radicular cysts
AI
screening
diagnosis
dentistry
ultrasonography
tongue
algorithm
dysphagia
impacted
tooth
detection
neural networks
proximal caries
training strategy
small dataset
periapical radiograph
X-ray
tooth extraction
oroantral fistula
operative planning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066803321
Lee Jae-Hong  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Superintelligence: Coordination & Strategy
Artificial Superintelligence: Coordination & Strategy
Autore Yampolskiy Roman
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (206 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptive learning systems
AGI
AI
AI alignment
AI arms race
AI containment
AI forecasting
AI governance
AI risk
AI safety
AI Thinking
AI value alignment
AI welfare policies
AI welfare science
antispeciesism
artificial general intelligence
artificial intelligence
artificial intelligence safety
artificial superintelligence
artilects
ASILOMAR
autonomous distributed system
Bayesian networks
blockchain
conflict
design for values
distributed goals management
distributed ledger
ethics
existential risk
explainable AI
forecasting AI behavior
future-ready
Goodhart's Law
holistic forecasting framework
human-centric reasoning
human-in-the-loop
judgmental distillation mapping
machine learning
moral and ethical behavior
multi-agent systems
pedagogical motif
policy making on AI
policymaking process
predictive optimization
safe for design
scenario analysis
scenario mapping
scenario network mapping
sentiocentrism
simulations
specification gaming
strategic oversight
superintelligence
supermorality
technological singularity
technology forecasting
terraforming
transformative AI
typologies of AI policy
value sensitive design
VSD
ISBN 3-03921-854-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Artificial Superintelligence
Record Nr. UNINA-9910404084203321
Yampolskiy Roman  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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At the Edge of AI : Human Computation Systems and Their Intraverting Relations
At the Edge of AI : Human Computation Systems and Their Intraverting Relations
Autore Veprek LibuSe Hannah
Edizione [1st ed.]
Pubbl/distr/stampa Bielefeld : , : transcript Verlag, , 2024
Descrizione fisica 1 online resource (331 pages)
Collana Science Studies
Soggetto topico SOCIAL SCIENCE / Anthropology / Cultural & Social
Soggetto non controllato AI
Computer Sciences
Cultural Anthropology
Digital Media
Digitalization
Ethnography
Human Computation
STS
Science
Sociology of Science
Technology
ISBN 9783839472286
3839472288
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Contents -- Acknowledgments -- List of Figures -- List of Abbreviations -- 1 Introduction: "We're Doing Something Completely New" -- 2 Approaching Human Computation‐Based Citizen Science Analytically -- Crowdsourcing and Crowdworking -- Citizen Science (Games) and the Entanglements of Play, Work, and Science -- Sociotechnical Systems and the Study of Algorithms, Computer Code, and Artificial Intelligence -- Infrastructures and Infrastructuring -- A Theoretical Framework for Analyzing Emerging Hybrid Systems -- From Assemblages to Assemblage Thinking -- Human-Technology Relations -- Ethical Projects, Imaginaries, and the Care for Our Hybrid Modes of Being -- Intraversions in Human-Technology Relations -- 3 Methodology: Encountering Human Computation Ethnographically -- Praxiographically Inspired Co‑Laborative Ethnography -- Constructivist Grounded Theory -- Doing Research On, With, and Among Researchers and Developers -- A Toolkit of Methods for Emerging Hybrid Systems -- Participant Observation -- Qualitative Interviews -- Experimental Approaches to Infrastructures, Code, and Digital Chat Data -- 4 Envisioning and Designing the Future -- Human‐In‐The‐Loop Imaginaries -- Human Computation as a Counter‐Imaginary to Artificial General Intelligence -- Shared Paradigms -- The Imagined Human in the Loop -- Imagining Humans as Players and the Loop as a Game -- Human-Technology Conversations of the Future -- Crowds in the Loop -- Humans in the Loop in a Future Thinking Economy -- Weaving Together the Imaginaries -- Imagining as Practice: Infrastructuring and Experimentation -- Infrastructuring Toward "Sustainable Human Computation" -- Puppies in Stall Catchers: Everyday Infrastructuring -- Between Counter‐Imaginary and Infrastructuring -- 5 Multiple Meanings and Everyday Negotiations: Play/Science Entanglements -- A Snapshot of Foldit.
A Snapshot of Stall Catchers -- Contributing to Cope With Everyday Life -- Personal Connections -- Meaningful Contributions -- A Phenomenon Between Play and Science -- Mutual Supportive Science/Play Entanglements -- Out‐Of‐The‐Box Thinking -- Making a "Boring" Task Enjoyable and Keeping the Motivation Up -- Legitimizing Play -- Play/Science Frictions -- A "Balancing Act" -- Goals of Science versus Goals of Game -- Uncertainty and Unpredictability of Science versus the Rigidity of Game -- Hierarchies Between Play and Science -- "Success" Has Different Meanings for Game and Science -- Adaptations and Practices Beyond Design -- Ameliorating the Participant-Technological Performance -- Reading Data Differently and Playing Games in Games -- Exploring Boundaries -- Emerging Spaces in Play/Science Entanglements and Frictions -- 6 Intraversions: Human-Technology Relations in Flux -- Never Obsolete: Intraversions of Participant-Technology Relations in Foldit -- Foldit's Legend -- Introducing the Artificial Intelligence System AlphaFold in Foldit -- "First Use No Humans:" Intraversions of Participant-Technology Relations in Stall Catchers -- "The Machines Are Coming:" Artificial Intelligence Bots in Stall Catchers -- GAIA's Debut -- Three Bots in Stall Catchers -- Reconfigurations of Participant-Technology Relations -- Extending the Loop: Intraversions of Researcher-Technology Relations -- Getting Lost in the Brain -- Processing and Translating Data -- Machine Learning for Data Segmentation -- Automated Post‐Processing -- Data Curation: Manually Intervening and Editing -- Closing the Loop -- Reconfiguring Data, the Pipeline, and Researcher-Technology Relations -- Moving Forward in Concert -- Contingent, Imagined, and Emergent Intraversions -- 7 Building Trust in and With Human Computation -- Trust as an Analytical Concept -- Trust as a Sociomaterial Practice.
"We Have to Trust the Whole Citizen Science Stuff" -- Building Trust With Human Computation and Algorithmic Evaluation -- Trust the System, Trust Yourself -- The Question of Trust and Proprietary Software -- Distributed Trust -- 8 Conclusions -- Engaging at the Edge of Artificial Intelligence -- Beyond the Edge -- Glossary -- References.
Record Nr. UNINA-9910886983303321
Veprek LibuSe Hannah  
Bielefeld : , : transcript Verlag, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
Autore Bode Ingvild
Pubbl/distr/stampa Montreal : , : McGill-Queen’s University Press, , [2022]
Descrizione fisica 1 online resource (297 pages) : illustrations
Disciplina 341.63
Soggetto topico Autonomous weapons systems (International law)
Artificial intelligence - Military applications
Artificial intelligence - Moral and ethical aspects
Autonomous weapons systems - Moral and ethical aspects
Soggetto non controllato AI
Peace
air defense system
autonomy
conflict
constructivist
disarmament
human machine interaction
international law
killer robots
non-governmental
norm emergence
policy
public
regulation
relations
research
science
security algorithms
technology
think tanks
war
weaponized artificial intelligence
ISBN 0-2280-0925-1
0-2280-0924-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- AUTONOMOUS WEAPONS SYSTEMS AND INTERNATIONAL NORMS -- Title -- Copyright -- Contents -- Tables and figures -- Acknowledgements -- Abbreviations -- Introduction -- 1 Autonomous Weapons Systems and International Relations -- 2 New Technologies of Warfare: Emergence and Regulation -- 3 International Law, Norms, and Order -- 4 Norms in International Relations -- 5 How Autonomous Weapons Systems Make Norms -- Conclusion -- Notes -- References -- Index.
Record Nr. UNINA-9910795554703321
Bode Ingvild  
Montreal : , : McGill-Queen’s University Press, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
Autore Bode Ingvild
Pubbl/distr/stampa Montreal : , : McGill-Queen’s University Press, , [2022]
Descrizione fisica 1 online resource (297 pages) : illustrations
Disciplina 341.63
Soggetto topico Autonomous weapons systems (International law)
Artificial intelligence - Military applications
Artificial intelligence - Moral and ethical aspects
Autonomous weapons systems - Moral and ethical aspects
Soggetto non controllato AI
Peace
air defense system
autonomy
conflict
constructivist
disarmament
human machine interaction
international law
killer robots
non-governmental
norm emergence
policy
public
regulation
relations
research
science
security algorithms
technology
think tanks
war
weaponized artificial intelligence
ISBN 0-2280-0925-1
0-2280-0924-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- AUTONOMOUS WEAPONS SYSTEMS AND INTERNATIONAL NORMS -- Title -- Copyright -- Contents -- Tables and figures -- Acknowledgements -- Abbreviations -- Introduction -- 1 Autonomous Weapons Systems and International Relations -- 2 New Technologies of Warfare: Emergence and Regulation -- 3 International Law, Norms, and Order -- 4 Norms in International Relations -- 5 How Autonomous Weapons Systems Make Norms -- Conclusion -- Notes -- References -- Index.
Record Nr. UNINA-9910821549503321
Bode Ingvild  
Montreal : , : McGill-Queen’s University Press, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data in Dental Research and Oral Healthcare
Big Data in Dental Research and Oral Healthcare
Autore Joda Tim
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (112 p.)
Soggetto topico Medicine and Nursing
Soggetto non controllato AI
artificial intelligence
artificial intelligence (AI)
augmented and virtual reality (AR/VR)
augmented reality (AR)
big data
Big Data
cone beam computed tomography (CBCT)
dental education
dental healthcare cost
dentistry
digital dentistry
digital transformation
elderly patient
ethical issues
facial scanning
gerodontology
healthcare cost
integrated care, medical-dental integration, simulation model, dental research
intraoral scanning
machine learning
machine learning (ML)
medical healthcare cost
ML
neural network
oral health
oral healthcare
oral medicine
patient-centered outcomes
personalized dental medicine
rapid prototyping
tele-health
virtual reality (VR)
zero-inflated model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557123403321
Joda Tim  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui