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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
Berthold Michael  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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. UNINA-9910404119303321
Berthold Michael  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Autore Consoli Sergio
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.)
Disciplina 006.312
Soggetto topico Data mining
Machine learning
Management information systems
Big data
Application software
Information storage and retrieval
Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
Soggetto non controllato Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
IT in Business
Computer and Information Systems Applications
Open Access
Data Mining
Big Data
Data Analytics
Decision Support Systems
Semantics and Reasoning
Expert systems / knowledge-based systems
Business mathematics & systems
Public administration
Information technology: general issues
Information retrieval
Data warehousing
ISBN 3-030-66891-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership.
Record Nr. UNINA-9910484567403321
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Autore Consoli Sergio
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.)
Disciplina 006.312
Soggetto topico Data mining
Machine learning
Management information systems
Big data
Application software
Information storage and retrieval
Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
Soggetto non controllato Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
IT in Business
Computer and Information Systems Applications
Open Access
Data Mining
Big Data
Data Analytics
Decision Support Systems
Semantics and Reasoning
Expert systems / knowledge-based systems
Business mathematics & systems
Public administration
Information technology: general issues
Information retrieval
Data warehousing
ISBN 3-030-66891-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership.
Record Nr. UNISA-996464413703316
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems [[electronic resource] /] / edited by Paulo Carreira, Vasco Amaral, Hans Vangheluwe
Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems [[electronic resource] /] / edited by Paulo Carreira, Vasco Amaral, Hans Vangheluwe
Autore Carreira Paulo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (XX, 285 p. 157 illus., 54 illus. in color.)
Disciplina 005.1
Soggetto topico Software engineering
Computer engineering
Internet of things
Embedded computer systems
Special purpose computers
Application software
Computer-aided engineering
Software Engineering
Cyber-physical systems, IoT
Special Purpose and Application-Based Systems
Computer Applications
Computer-Aided Engineering (CAD, CAE) and Design
Soggetto non controllato Software Engineering
Cyber-physical systems, IoT
Special Purpose and Application-Based Systems
Computer Applications
Computer-Aided Engineering (CAD, CAE) and Design
Open Access
Embedded and cyber-physical systems
Software design engineering
Model-driven software engineering
Modelica
Performance Analysis
Design Languages
System Description Languages
System and Modeling
DEVS
Statecharts
Petri Nets
Multi-Paradigm Modeling
AADL
Concurrency Modeling
Electrical engineering
Cybernetics & systems theory
Expert systems / knowledge-based systems
Information technology: general issues
Computer-aided design (CAD)
ISBN 3-030-43946-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multi-Paradigm Modelling for Cyber-Physical Systems: Foundations -- Bond Graphs: A Unifying Framework for Modelling of Physical Systems -- Modelica: Equation-Based, Object-Oriented Modelling of Physical Systems -- Causal-Block Diagrams: A Family of Languages for Causal Modelling of Cyber-Physical Systems -- DEVS: Discrete-Event Modelling and Simulation for Performance Analysis of Resource-Constrained Systems -- Statecharts: A Formalism to Model, Simulate and Synthesize Reactive and Autonomous Timed Systems -- Petri Nets: A Formal Language to Specify and Verify Concurrent Non-Deterministic Event Systems -- AADL: A Language to Specify the Architecture of Cyber-Physical Systems -- FTG+PM: Describing Engineering Processes in Multi-Paradigm Modelling.
Record Nr. UNISA-996465472303316
Carreira Paulo  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems [[electronic resource] /] / edited by Paulo Carreira, Vasco Amaral, Hans Vangheluwe
Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems [[electronic resource] /] / edited by Paulo Carreira, Vasco Amaral, Hans Vangheluwe
Autore Carreira Paulo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (XX, 285 p. 157 illus., 54 illus. in color.)
Disciplina 005.1
Soggetto topico Software engineering
Computer engineering
Internet of things
Embedded computer systems
Special purpose computers
Application software
Computer-aided engineering
Software Engineering
Cyber-physical systems, IoT
Special Purpose and Application-Based Systems
Computer Applications
Computer-Aided Engineering (CAD, CAE) and Design
Soggetto non controllato Software Engineering
Cyber-physical systems, IoT
Special Purpose and Application-Based Systems
Computer Applications
Computer-Aided Engineering (CAD, CAE) and Design
Open Access
Embedded and cyber-physical systems
Software design engineering
Model-driven software engineering
Modelica
Performance Analysis
Design Languages
System Description Languages
System and Modeling
DEVS
Statecharts
Petri Nets
Multi-Paradigm Modeling
AADL
Concurrency Modeling
Electrical engineering
Cybernetics & systems theory
Expert systems / knowledge-based systems
Information technology: general issues
Computer-aided design (CAD)
ISBN 3-030-43946-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multi-Paradigm Modelling for Cyber-Physical Systems: Foundations -- Bond Graphs: A Unifying Framework for Modelling of Physical Systems -- Modelica: Equation-Based, Object-Oriented Modelling of Physical Systems -- Causal-Block Diagrams: A Family of Languages for Causal Modelling of Cyber-Physical Systems -- DEVS: Discrete-Event Modelling and Simulation for Performance Analysis of Resource-Constrained Systems -- Statecharts: A Formalism to Model, Simulate and Synthesize Reactive and Autonomous Timed Systems -- Petri Nets: A Formal Language to Specify and Verify Concurrent Non-Deterministic Event Systems -- AADL: A Language to Specify the Architecture of Cyber-Physical Systems -- FTG+PM: Describing Engineering Processes in Multi-Paradigm Modelling.
Record Nr. UNINA-9910404112303321
Carreira Paulo  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464443103316
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482868303321
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Gestaltung vernetzt-flexibler Arbeit [[electronic resource] ] : Beiträge aus Theorie und Praxis für die digitale Arbeitswelt / / herausgegeben von Mario Daum, Marco Wedel, Christian Zinke-Wehlmann, Hannah Ulbrich
Gestaltung vernetzt-flexibler Arbeit [[electronic resource] ] : Beiträge aus Theorie und Praxis für die digitale Arbeitswelt / / herausgegeben von Mario Daum, Marco Wedel, Christian Zinke-Wehlmann, Hannah Ulbrich
Autore Daum Mario
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XIX, 264 S. 32 Abb., 22 Abb. in Farbe.)
Disciplina 658.5
Soggetto topico Engineering economics
Engineering economy
Special purpose computers
Management
Industrial management
Educational technology
Engineering Economics, Organization, Logistics, Marketing
Special Purpose and Application-Based Systems
Innovation/Technology Management
Technology and Digital Education
Soggetto non controllato Engineering Economics, Organization, Logistics, Marketing
Special Purpose and Application-Based Systems
Innovation/Technology Management
Technology and Digital Education
Industrial Management
Business and Management
Education
Arbeitsgestaltung
Digitalisierte Arbeit
Flexible Arbeitsstrukturen
Digitaler Wandel
Digital Workplace
Arbeit 4.0
Open Access
Engineering: general
Management of specific areas
Expert systems / knowledge-based systems
Research & development management
Industrial applications of scientific research & technological innovation
Educational equipment & technology, computer-aided learning (CAL)
ISBN 3-662-61560-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Vorwort -- Einführung -- Status quo und Perspektiven der staatlichen Regulierung von orts- und zeitflexibler Arbeit -- Ein nutzergerechtes Erreichbarkeitsmanagement: Wissenschaftliche Erkenntnisse und Implikationen -- Rechtliche Anforderungen an ein System zur Erreichbarkeitssteuerung -- Erreichbarkeitsmanagement in der betrieblichen Praxis -- Empowerment als Schlüssel für die digitale Arbeitswelt -- Empowerment in der agilen Arbeitswelt. Konzepte und Instrumente für eine ganzheitliche Gestaltung -- Social Business Transformation. Leitlinien zur nachhaltigen Etablierung von Social Business und dem Einsatz von Enterprise Social Networks -- Rollen und Verantwortlichkeiten für erfolgreiche Social-Business-Anwendungen -- Weiterentwicklung von Enterprise Social Networks in Großunternehmen – Herausforderungen beim Thema Datenschutz -- Erste Systematisierungsansätze für die Beschreibung eines modellhaften Crowdsourcing-Systems im Zusammenhang mit der Steuerung von Crowdsourcing -- Entwurf eines Prozess- und Rollenmodells für internes Crowdsourcing -- Interne Crowd Work als Baustein einer Empowerment-orientierten Arbeitsorganisation -- Gemeinsames Arbeiten in der dezentralen digitalen Welt -- Matching Professionals in Coworking-Spaces – Tools, Erfahrungen und Beispiele.
Record Nr. UNINA-9910416118803321
Daum Mario  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Haptics: Science, Technology, Applications [[electronic resource] ] : 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings / / edited by Ilana Nisky, Jess Hartcher-O’Brien, Michaël Wiertlewski, Jeroen Smeets
Haptics: Science, Technology, Applications [[electronic resource] ] : 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings / / edited by Ilana Nisky, Jess Hartcher-O’Brien, Michaël Wiertlewski, Jeroen Smeets
Autore Nisky Ilana
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVIII, 557 p. 38 illus.)
Disciplina 005.437
4.019
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Robotics
Special purpose computers
Application software
Optical data processing
User Interfaces and Human Computer Interaction
Special Purpose and Application-Based Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Soggetto non controllato User Interfaces and Human Computer Interaction
Robotics
Special Purpose and Application-Based Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Computer and Information Systems Applications
Computer Vision
communication systems
computer networks
data communication systems
display devices
engineering
haptic devices
haptic interfaces
human engineering
Human-Computer Interaction (HCI)
mobile computing
network protocols
robotics
signal processing
telecommunication networks
user interfaces
virtual reality
wireless telecommunication systems
User interface design & usability
Artificial intelligence
Expert systems / knowledge-based systems
Information retrieval
Internet searching
Image processing
Computer vision
ISBN 3-030-58147-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Haptic Science -- The EmojiGrid as a Rating Tool for the Affective Appraisal of Touch -- A 2-DoF Skin Stretch Display on Palm: Effect of Stimulation Shape, Speed and Intensity -- User-Defined Mid-Air Haptic Sensations for Interacting with an AR Menu Environment -- Surface Roughness Judgment during Finger Exploration is Changeable by Visual Oscillations -- Identifying tactors locations on the proximal phalanx of the finger for navigation -- Tactile Perception of Objects by the User's Palm for the Development of Multi-contact Wearable Tactile Displays -- From Hate to Love: How Learning Can Change Affective Responses to Touched Materials -- Switching between objects improves precision in haptic perception of softness -- Discriminating between Intensities and Velocities of Mid-Air Haptic Patterns -- Density estimation is influenced more by mass when objects are denser -- Haptic feedback in a teleoperated Box & Blocks task -- Systematic Adaptation of Exploration Force to Exploration Duration in Softness Discrimination -- Perception of vibratory direction on the back -- Comparing Lateral Modulation and Amplitude Modulation in Phantom Sensation -- Context Matters: The Effect of Textual Tone on the Evaluation of Mediated Social Touch -- Influence of roughness on contact force estimation during active touch -- Green Fingers: Plant Thigmo Responses as an Unexplored Area for Haptics Research -- The impact of control-display gain in kinesthetic search -- The arm’s blind line: anisotropic distortion in perceived orientation of stimuli on the arm -- Evaluation of Changes in Perceived Intensity and Threshold of Moisture Sensation of Clothes Associated with Skin Moisture -- The Effects of Simultaneous Multi-Point Vibratory Stimulation on Kinesthetic Illusion -- Isometric force matching asymmetries depend on the position of the left hand regardless of handedness -- Computational Model of a Pacinian Corpuscle for an Electrical Stimulus: Spike-Rate and Threshold Characteristics -- Haptic Technology -- SwitchPaD: Active Lateral Force Feedback over a Large Area Based on Switching Resonant Modes -- Visuo-Haptic Display by Embedding Imperceptible Spatial Haptic Information into Projected Images -- Manipulating the Perceived Directions of Wind by Visuo-audio-haptic Cross-modal Effects -- A 6-DoF Zero-order Dynamic Deformable Tool for Haptic Interactions of Deformable and Dynamic Objects -- Evaluating Ultrasonic Tactile Feedback Stimuli -- WeATaViX: WEarable Actuated TAngibles for VIrtual reality eXperiences -- Noncontact Thermal and Vibrotactile Display Using Focused Airborne Ultrasound -- KATIB: Haptic-visual Guidance for Handwriting -- ThermalTex: A two-modal tactile display for delivering surface texture and thermal information -- Can Stiffness Sensations be Rendered in Virtual Reality Using Mid-air Ultrasound Haptic Technologies? -- Midair Haptic Presentation Using Concave Reflector -- Movement-Free Virtual Reality Interface using Kinesthetic Illusion Induced by Tendon Vibration -- Haptic Display Using Fishing Rod -- Confinement of Vibrotactile Stimuli in Periodically Supported Plates -- 2MoTac: Simulation of button click by superposition of two ultrasonic plate waves -- A Proposal and Investigation of Displaying Method by Passive Touch with Electrostatic Tactile Display -- Sensing Ultrasonic Mid-Air Haptics with a Biomimetic Tactile Fingertip -- Soft-wearable device for the estimation of shoulder orientation and gesture -- Wearable Vibrotactile Interface Using Phantom Tactile Sensation for Human-Robot Interaction -- A Parallel Elastic Haptic Thimble for Wide Bandwidth Cutaneous Feedback -- Instrumenting Hand-held Surgical Drills With a Pneumatic Sensing Cover for Haptic Feedback -- Rendering Ultrasound Pressure Distribution on Hand Surface in Real-Time -- Energy Analysis of Lateral vs. Normal Vibration Modes for Ultrasonic Surface Haptic Devices -- Midair Tactile Reproduction of Real Objects -- LinkRing: A Wearable Haptic Display for Delivering Multi-contact and Multi-modal Stimuli at the Finger Pads -- ElectroAR: Distributed Electro-tactile Stimulation for Tactile Transfer -- Haptic Applications -- Identification Rate of Simple and Complex Tactile Alerts in MUM-T Setup -- Attention-based Robot Learning of Haptic Interaction -- Motion Guidance using Translational Force and Torque Feedback by Induced Pulling Illusion -- Perceptually Compressive Communication of Interactive Telehaptic Signal -- Sound Image Icon with Aerial Haptic Feedback -- Stiffness Discrimination by Two Fingers with Stochastic Resonance -- Interest Arousal by Haptic Feedback During a Storytelling for Kindergarten Children -- Investigating the influence of haptic feedback in rover navigation with communication delay -- Shared haptic perception for human-robot collaboration -- Two-Point Haptic Pattern Recognition with the Inverse Filter Method -- Adaptive Fuzzy Sliding Mode Controller Design for a New Hand Rehabilitation Robot.
Record Nr. UNINA-9910418352703321
Nisky Ilana  
Springer Nature, 2020
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