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7th International Conference on Education, Network and Information Technology / / edited by Jingsha He, Ljiljana Trajković
7th International Conference on Education, Network and Information Technology / / edited by Jingsha He, Ljiljana Trajković
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XIV, 389 p. 156 illus., 124 illus. in color.)
Disciplina 006.3
Collana EAI/Springer Innovations in Communication and Computing
Soggetto topico Computational intelligence
Technological innovations
Electronic commerce
Computational Intelligence
Innovation and Technology Management
e-Commerce and e-Business
ISBN 3-031-85225-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Development of virtual experimental system for parallel shaft automatic transmission -- Chapter 2: Design of Ideological and Political Teaching Resource Platform for Artificial Intelligence Course -- Chapter 3: Design and Learning Effectiveness Algorithm of Online Teaching Interactive System -- Chapter 4: Automatic Evaluation of English Writing: Combining TF-IDF and Text Similarity Algorithm -- Chapter 5: User Behavior Analysis and Personalized Recommendation Algorithm in an Online Learning Platform Based on Deep Learning -- Chapter 6: Expansion of Chinese Lexicon and Language Model Optimization in the Perspective of Big Data Using the Word2Vec Model -- Chapter 7: Big Data-driven Talent Development Program: A Study Based on Association Rule Mining -- Chapter 8: Design and Optimization of Financial Course System Based on Improved SDAE Network -- Chapter 9: Smart Teaching Knowledge Topic Mining and Interdisciplinary Research Using Latent Dirichlet Allocation Taking the Corpus as an Example -- Chapter 10: Generative Adversarial Networks for Realistic Generation of Children's Learning State Data -- Chapter 11: Application of Collaborative Filtering Algorithm in a Preschool Education Resource Sharing Platform -- Chapter 12: Automatic Evaluation of English Oral Proficiency: Feature Selection and Performance Optimization Based on Decision Trees -- Chapter 13: A method for constructing lightweight AI experimental platform -- Chapter 14: Research on personalized test question recommendation algorithm based on Knowledge Map -- Chapter 15: Design and Development of English Vocabulary Memory Game Based on Android Platform -- Chapter 16: Technology-supported writing instruction: A systematic literature review and meta-analysis -- Chapter 17: Design and Implementation of Learning Resource Exchange Platform APP Based on Android -- Chapter 18: Reform of "Ship Awareness Internship" Course Based on AI Intelligent Tutoring System in the Context of Engineering Certification -- Chapter 19: Research on Visual Teaching Based on Python Technology Application -- Chapter 20: Design and Implementation of an English Intelligent Dialogue System Based on Deep Learning Algorithms -- Chapter 21: The Application of Data Mining Technology in Student Management System -- Chapter 22: Student Management System Based on Artificial Intelligence and Digital Technology -- Chapter 23: Research on teaching skills and postures of normal university students based on OpenPose -- Chapter 24: Three-dimensional Simulation of the Tower of Hanoi using an Improved Recursive Algorithm and Multipatch -- Chapter 25: Design and Implementation of an Intelligent Assisted Learning System for Discrete Mathematics -- Chapter 26: Research on the cubic spline interpolation algorithm for predicting the demand of medical laboratory teachers in vocational colleges -- Chapter 27: Research on Risk Feature Extraction and Prevention Model Construction Based on XGBoost Algorithm -- Chapter 28: Method for Evaluating the Comprehensive Quality of Polytechnic College Students by Integrating Virtual Human-Computer Interaction Assessment.
Record Nr. UNINA-9911007352103321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Achieving Business Competitiveness in a Digital Environment : Opportunities in E-commerce and Online Marketing / / edited by Tereza Semerádová, Petr Weinlich​
Achieving Business Competitiveness in a Digital Environment : Opportunities in E-commerce and Online Marketing / / edited by Tereza Semerádová, Petr Weinlich​
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (247 pages)
Disciplina 658.872
Collana Contributions to Management Science
Soggetto topico Telemarketing
Internet marketing
Electronic commerce
Strategic planning
Leadership
Digital Marketing
e-Commerce and e-Business
Business Strategy and Leadership
ISBN 3-030-93131-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. The Broad and Narrow Definition of E-Commerce -- 2. Evaluative Framework for Digital Competitiveness -- 3. Website-Centric Shoping Experience -- 4. Socially Responsible Online Marketing- 5. Algorithms – the New Leaders of the Advertising Market -- 6. The Credibility of Online Recommendations -- 7. The Relationship Between Product Placement and Shopping Intentions on Instagram -- 8. Product Endorssment by Opinion Leaders – the Case of Youtube Community.
Record Nr. UNINA-9910522944903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Concepts for Intelligent Vision Systems : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Advanced Concepts for Intelligent Vision Systems : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXI, 897 p. 389 illus.)
Disciplina 004
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Data protection
Cryptography
Data encryption (Computer science)
Coding theory
Information theory
Electronic commerce
Electronic data processing - Management
Computers and civilization
Data and Information Security
Cryptology
Coding and Information Theory
e-Commerce and e-Business
IT Operations
Computers and Society
ISBN 3-319-25903-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- About the Volume Editors -- Organization -- Contents -- Low-Level Image Processing -- BNRFBE Method for Blur Estimation in Document Images -- 1 Introduction -- 2 Blur Analysis -- 3 Blur Measuring -- 3.1 Principle of the Measurement -- 3.2 Text Blur Measurement -- 4 Experiments -- 4.1 Simulated Blur -- 4.2 Influence of Working Zone Z -- 4.3 Real Images -- 4.4 DIQA Database -- 5 Conclusion -- References -- Edge Width Estimation for Defocus Map from a Single Image -- 1 Introduction -- 2 Edge Width -- 2.1 Gaussian Edge Model -- 2.2 Estimation of Edge Width -- 2.3 The Edge Width Estimation Algorithm -- 3 Defocus Blur Estimation -- 3.1 Sparse Defocus Map -- 3.2 Full Defocus Map -- 4 Results and Discussion -- 4.1 Possible Improvement -- 5 Conclusion -- References -- RSD-DOG: A New Image Descriptor Based on Second Order Derivatives -- 1 Introduction -- 1.1 Related Work -- 2 Directional Filter -- 3 Ridge and Valley Detection Using Difference of Gaussian Filters -- 3.1 Difference of Half Smoothing Filters (DHSF) -- 3.2 Estimating the Direction of Second Order Statistics Such as Ridges and Valleys -- 4 Descriptor Construction -- 5 Experiments and Results -- 5.1 Dataset and Evaluation -- 5.2 Descriptor Performance -- 6 Conclusion -- References -- Ringing Artifact Suppression Using Sparse Representation -- 1 Introduction -- 2 Ringing Suppression -- 2.1 Problem Formulation -- 2.2 Joint Sparse Coding -- 2.3 Ringing Suppression Method -- 3 Evaluation -- 4 Conclusion -- References -- Patch-Based Mathematical Morphology for Image Processing, Segmentation and Classification -- 1 Introduction -- 2 Patch Complete Lattice Learning -- 2.1 Complete Lattice from Patches -- 2.2 Complete Lattice Learning -- 2.3 Patch-Based MM Operators -- 3 Applications -- 3.1 Color Image Processing -- 3.2 Color Image Segmentation.
3.3 Color Image Texture Classification -- 4 Conclusion -- References -- Time Ordering Shuffling for Improving Background Subtraction -- 1 Introduction -- 2 Time Shuffling Strategies -- 2.1 Principle -- 2.2 Random Time Shuffling Strategy -- 2.3 Deterministic Time Shuffling Strategies -- 2.4 Implementation of the Deterministic Strategies -- 3 Experiments and Results -- 3.1 Initialization -- 3.2 Dataset -- 3.3 Background Subtraction Algorithms -- 3.4 Results and Interpretation -- 4 Conclusions -- References -- Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation -- 1 Introduction -- 2 Proposed Method -- 2.1 Pre-processing -- 2.2 Advanced Voting -- 2.3 Motion Estimation Model -- 3 Experimental Results -- 4 Computational Cost Comparison -- 5 Conclusion -- References -- Adaptive Scale Selection for Multiscale Image Denoising -- 1 Introduction -- 2 Motivation of the Work -- 2.1 Atomic Representation and Time-Scale Evolution -- 2.2 Rational Dilation Wavelet Transform -- 3 Scale Selection -- 3.1 Packets of Atoms -- 3.2 Scale Selection Algorithm -- 4 Adaptive RDWT -- 5 Preliminary Experimental Results -- 6 Conclusions -- References -- Secure Signal Processing Using Fully Homomorphic Encryption -- 1 Introduction -- 2 Related Work -- 3 Fully Homomorphic Encryption -- 4 Encrypted Natural Logarithm -- 5 Brightness/Contrast Filter Theory -- 6 Experimental Results -- 7 Conclusion -- References -- Video Processing and Camera Networks -- Towards a Bayesian Video Denoising Method -- 1 Introduction -- 2 Bayesian Video Denoising -- 2.1 A Nonlocal Bayesian Principle -- 2.2 Learning the a Priori Model -- 2.3 Description of the Algorithm -- 2.4 Computational Complexity -- 3 Results -- 4 Conclusions -- References -- Collaborative, Context Based Activity Control Method for Camera Networks -- 1 Introduction -- 2 Related Work.
3 The Implemented Algorithm -- 4 The Test Setup -- 5 Results and Discussion -- 6 Conclusions -- References -- EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints -- 1 Introduction -- 2 Edge Based Foreground Background Segmentation -- 2.1 Previous Work -- 2.2 Foreground Shape Correction -- 2.3 Ghost Removal -- 3 Camera Motion Detection -- 3.1 Optical Flow -- 3.2 Flow Based Camera Motion Detection -- 4 Camera Motion Compensation -- 4.1 Affine Image Transformation -- 4.2 Distinction Between Panning/Tilting and Jitter -- 4.3 Jitter Compensation -- 4.4 Panning/Tilting Compensation -- 5 Experiments -- 6 Conclusions -- References -- A Unified Camera Calibration from Arbitrary Parallelograms and Parallepipeds -- 1 Introduction -- 2 Preliminaries -- 2.1 Parallelogram Parameterization -- 3 Projections of Parallelograms -- 3.1 Canonic Homography -- 3.2 Measurement Matrix of Homographies -- 4 Parameter Estimation -- 4.1 Rescaling the Measurement Matrix -- 4.2 Factorization -- 4.3 Resolving Affine Ambiguity -- 4.4 Computing Camera Parameters -- 5 Merging Information from Parallelepipeds -- 6 Experimental Results -- 6.1 Simulated Experiment -- 6.2 Real Image Experiment -- 7 Conclusion -- References -- Motion Compensation Based on Robust Global Motion Estimation: Experiments and Applications -- 1 Introduction -- 2 Related Work -- 2.1 Problem Statement -- 2.2 Geometric Feature-Based Methods -- 2.3 Direct Methods -- 3 Proposed Method -- 3.1 Outlines of the Method -- 3.2 Detailed Method -- 3.3 A Hybrid Pyramidal Method Robust to Large Motion -- 3.4 Motion Estimation Robust to Occlusions and Moving Objects -- 4 Experimental Framework and Results -- 4.1 Problem Statement -- 4.2 Experiments -- 4.3 Criteria -- 4.4 Results -- 5 Applications -- 5.1 Stabilisation -- 5.2 Panorama Creation.
5.3 Moving Target Detection and Tracking -- 6 Conclusion and Future Work -- References -- Bayesian Fusion of Back Projected Probabilities (BFBP): Co-occurrence Descriptors for Tracking in Complex Environments -- 1 Introduction -- 2 Related Work -- 3 Probabilstic Color Co-occurrence Modeling -- 4 Bayesian Fusion of Multiple Co-occurrence Back Projections -- 5 Experimental Evaluations -- 6 Conclusion -- References -- Embedded System Implementation for Vehicle Around View Monitoring -- 1 Introduction -- 2 Surrounding Image Construction -- 2.1 Rectification -- 2.2 Bird's-Eye-View Transformation -- 2.3 Image Stitching -- 3 Embedded System Implementation -- 3.1 Hardware System Architecture -- 3.2 Performance Optimization -- 4 Experimental Results -- 4.1 Calibration Result -- 4.2 Result of Bird's-Eye-View Transformation -- 4.3 Obtaining 360 Surrounding View Image -- 4.4 Real-Time Stitching Performance and Precision -- 5 Conclusion -- References -- Motion and Tracking -- Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction -- 1 Introduction -- 2 Cosine-Sine Modulated Filter Bank -- 3 Motion Estimation -- 3.1 The Error Function -- 3.2 Hierarchical Motion Estimation with CSMFB -- 4 Results -- 4.1 Motion Estimation -- 4.2 Motion Correction -- 4.3 Phase Shift Correction -- 4.4 Motion Correction in Magnetic Resonance Imaging -- 5 Conclusions -- Fast and Robust Variational Optical Flow for High-Resolution Images Using SLIC Superpixels -- 1 Introduction -- 2 Existing Work Using (Over)Segmentation -- 3 Existing Superpixel Methods -- 3.1 gSLIC Superpixels -- 3.2 (g)SLIC in Our Proposed Workflow -- 4 Variational Optical Flow on the Superpixel Grid -- 5 Experiments and Results -- 6 Conclusion -- 7 Future Work -- References -- Depth-Based Filtration for Tracking Boost -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pixel Filtration.
2.2 Tracking Stage -- 2.3 Detection Stage -- 2.4 Occlusion Handling -- 2.5 Recenter and Resize -- 2.6 Learning Stage -- 3 Experimental Results -- 3.1 Success Rate -- 3.2 Precision -- 3.3 Efficiency -- 4 Conclusion -- Robust Fusion of Trackers Using Online Drift Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Drift Predictor -- 3.2 Computation of the Fusion Bounding Box -- 3.3 Object Model Reinitialization or Update -- 4 Fusion Experiments and Results -- 4.1 Video Dataset -- 4.2 Evaluation Protocol -- 4.3 Implementation -- 4.4 Results -- 5 Conclusion -- References -- Bootstrapping Computer Vision and Sensor Fusion for Absolute and Relative Vehicle Positioning -- 1 Introduction -- 2 Fusion Approach -- 3 Visual Features -- 4 Improved GPS Method -- 5 Dynamic Map -- References -- Detection of Social Groups in Pedestrian Crowds Using Computer Vision -- 1 Introduction -- 2 Proposed Methodology -- 3 Bottom up Hierarchical Clustering -- 4 Experimental Results -- 5 Conclusions -- References -- Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing -- 1 Introduction -- 2 Navigating Around Obstacles -- 2.1 Relative Focus Maps -- 2.2 Obstacle Avoidance -- 2.3 Implementation -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment -- 1 Introduction -- 2 System Setup -- 2.1 Choice of a Robot for Simulation in Gazebo -- 2.2 PR-2 Robot Description and Simulation -- 2.3 AR-601M Robot Description and Simulation -- 3 Camera-Based 3D Model of Indoor Environment -- 3.1 Indoor Environment Shooting with Camera -- 3.2 Image-Based 3D Modeling of Indoor Environment -- 4 ROS-Based SLAM Using Gazebo in Image-Based 3D Model of Indoor Environment -- 4.1 Robot Simulation in Gazebo -- 4.2 ROS-Based SLAM Simulation in Gazebo -- References.
Security, Forensics and Biometrics.
Record Nr. UNINA-9910484986803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Information Systems Engineering : 32nd International Conference, CAiSE 2020, Grenoble, France, June 8–12, 2020, Proceedings / / edited by Schahram Dustdar, Eric Yu, Camille Salinesi, Dominique Rieu, Vik Pant
Advanced Information Systems Engineering : 32nd International Conference, CAiSE 2020, Grenoble, France, June 8–12, 2020, Proceedings / / edited by Schahram Dustdar, Eric Yu, Camille Salinesi, Dominique Rieu, Vik Pant
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xxiv, 574 pages)
Disciplina 005.1
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Artificial intelligence
Software engineering
Electronic commerce
Information technology - Management
Computer and Information Systems Applications
Artificial Intelligence
Software Engineering
e-Commerce and e-Business
Business Process Management
ISBN 3-030-49435-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Distributed Applications -- Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering -- Decentralized Cross-Organizational Application Deployment Automation: An Approach for Generating Deployment Choreogrpahies Based on Declarative Deployment Models -- Modeling and Analyzing Architectural Diversity of Open Platforms -- Co-destruction Patterns in Crowdsourcing -- Information Systems Engineering with Digital Shadows: Concept and Case Studies -- Model-Driven Development of a Digital Twin for Injection Molding -- SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things -- -MERODE: A Model-Driven Engineering and Artifact-Centric Approach to Generate Blockchain-Based Information Systems -- Smart Contract Invocation Protocol (SCIP): A Protocol for the Uniform Integration of Heterogenous Blockchain Smart Contracts -- AI and Big Data in IS -- A System Framework for Personalized and Transparent Data-Driven Decisions -- Online Reinforcement Learning for Self-Adaptive Information Systems -- Aspect Term Extraction using Deep Learning Modle with Minimal Feature Engineering -- State Machine based Human-Bot Conversatoin Model and Services -- Process Mining and Analysis -- Stochastic-Aware Conformance Checking: An Entropy-Based Approach -- Conformance Checking Approximation using Subset Selection and Edit Distance -- Quantifying the Re-identification Risk of Event Logs for Process Mining -- An Approach for Process Model Extraction by Multi-Grained Text Classification -- LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring -- Business Process Variant Analysis based on Mutual Fingerprints of Event Logs -- DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks -- Workforce Upskilling: a History-Based Approach for Recommending Unfamiliar Process Activities -- Requirements and Modeling -- Evaluating the Benefits of Model-Driven Development -- Workarounds inBusiness Processes: a Goal-based Analysis -- Digging into Business Process Meta-models: A First Ontological Analysis -- Minign User Opinions to Support Requirement Engineering: An Empirical Study -- Designing Patterns for Certification Standards -- Information Extraction and Graph Representation for the Design of Formulated Products -- Information Systems Engineering -- Resource-based Adaptive Robotic Process Automation -- A Variability-Driven Analysis Method for Automatic Extraction of Domain Behaviors -- Mutation Operators for Large Scale Data Processing Programs in Spark -- Recommendation for Evolving Relational Databases -- A Combined Method for Usage of NLP Libraries towards Analyzing Software Documents -- Query-based Metrics for Evaluating and Comparing Document Schemas -- Invited Keynote -- Data Sovereignty and the Internet of Production.
Record Nr. UNINA-9910410060003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Information Systems Engineering : 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings / / edited by Paolo Giorgini, Barbara Weber
Advanced Information Systems Engineering : 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings / / edited by Paolo Giorgini, Barbara Weber
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXIII, 702 p. 656 illus., 144 illus. in color.)
Disciplina 005.1
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Artificial intelligence
Software engineering
Machine theory
Electronic commerce
Data protection
Computer and Information Systems Applications
Artificial Intelligence
Software Engineering
Formal Languages and Automata Theory
e-Commerce and e-Business
Data and Information Security
ISBN 3-030-21290-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- Direct and reverse rewriting in data interoperability -- Information System Engineering -- Efficient Engineering Data Exchange in Multi-Disciplinary Systems Engineering Enterprises -- Bing-CF-IDF+: A Semantics-Driven News Recommender System -- Methodological Framework to Guide the Development of Continual Evolution Methods -- Inter-organizational integration in the AEC/FM industry: Exploring the "addressed" and "unaddressed" information exchange needs between stakeholders -- A Lightweight Framework for Multi-Device Integration and Multi-Sensor Fusion to Explore Driver Distraction -- Exhaustive Simulation and Test Generation Using fUML Activity Diagrams -- A Block-Free Distributed Ledger for P2P Energy Trading: Case with IOTA -- Profile Reconciliation through Dynamic Activities across Social Networks -- Requirements and Modeling -- Towards an Ontology-based Approach for Eliciting Possible Solutions to Non-Functional Requirements -- Using a Modelling Language to Describe the Quality of Life Goals of People Living with Dementia -- Multi-Platform Chatbot Modeling and Deployment with the Jarvis Framework -- Information Systems Modeling: Language, Verification, and Tool Support -- Expert2Vec: Experts Representation in Community Question Answering for Question Routing -- A Pattern Language for Value Modeling in ArchiMate -- Paving Ontological Foundation for Social Engineering Analysis -- Improving Traceability Links Recovery in Process Models through an Ontological Expansion of Requirements -- Requirements Engineering for Cyber Physical Production Systems -- Data modeling and Analysis -- A Fourth Normal Form for Uncertain Data -- Revealing the Conceptual Schemas of RDF Datasets -- Modeling and In-Database Management of Relational, Data-Aware Processes -- D2IA: Stream Analytics on User-Defined Event Intervals -- Business Process Modeling and Engineering -- Extracting Declarative Process Models from Natural Language -- From Process Models to Chatbots -- Dynamic Role Binding in Blockchain-Based Collaborative Business Processes -- 3D virtual world BPM training systems: process gateway experimental results -- Deriving and Combining Mixed Graphs from Regulatory Documents Based on Constraint Relations -- A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle -- Generation and Transformation of Compliant Process Collaboration Models to BPMN -- GameOfFlows: Process Instance Adaptation in Complex, Dynamic and Potentially Adversarial Domains -- Information System Security -- Security Vulnerability Information Service with Natural Language Query Support -- Automated Interpretation and Integration of Security Tools Using Semantic Knowledge -- An Assessment Model for Continuous Security Compliance in Large Scale Agile Environments -- Learning and Mining in Information Systems -- Proactive Process Adaptation using Deep Learning Ensembles -- Using Machine Learning Techniques for Evaluating the Similarity of Enterprise Architecture Models -- Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs -- Discovering Responsibilities with Dynamic Condition Response Graphs -- Fifty Shades of Green: How Informative is a Compliant Process Trace -- Solution Patterns for Machine Learning -- Managing and Simplifying Cognitive Business Operations using Process Architecture Models -- A Constraint Mining Approach to Support Monitoring Cyber-Physical Systems -- Behavior-Derived Variability Analysis: Mining Views for Comparison and Evaluation.
Record Nr. UNINA-9910337857303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Automated Negotiations / / edited by Takayuki Ito, Minjie Zhang, Reyhan Aydoğan
Advances in Automated Negotiations / / edited by Takayuki Ito, Minjie Zhang, Reyhan Aydoğan
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (141 pages)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Electronic commerce
Dynamics
Nonlinear theories
Computational Intelligence
Artificial Intelligence
e-Commerce and e-Business
Applied Dynamical Systems
ISBN 981-15-5869-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foundations on Automated Negotiations -- Recent Advances on Automated Negotiations -- Simulations on Automated Negotiations -- Applications on Automated Negotiations -- Introduction on Automated Negotiating Agents Competition -- Recent Automated Negotiating Agents.
Record Nr. UNINA-9910482977503321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Bias and Fairness in Information Retrieval : 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers / / edited by Alejandro Bellogin, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
Advances in Bias and Fairness in Information Retrieval : 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers / / edited by Alejandro Bellogin, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
Autore Bellogin Alejandro
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (113 pages)
Disciplina 004.6
Altri autori (Persone) BorattoLudovico
KleanthousStyliani
LexElisabeth
MallociFrancesca Maridina
MarrasMirko
Collana Communications in Computer and Information Science
Soggetto topico Computer networks
Artificial intelligence
Electronic commerce
Computer Communication Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 3-031-71975-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An Offer you Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations -- Retention Induced Biases in a Recommendation System with Heterogeneous Users -- Political Bias of Large Language Models in Few-shot News Summarization -- Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation -- Bias Reduction in Social Networks through Agent-Based Simulations -- vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization -- Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training.
Record Nr. UNINA-9910983492903321
Bellogin Alejandro  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Autore Boratto Ludovico
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (187 pages)
Disciplina 025.524
Altri autori (Persone) FaralliStefano
MarrasMirko
StiloGiovanni
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Electronic commerce
Computer Engineering and Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 3-031-37249-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations -- Measuring Bias in Multimodal Models: Multimodal Composite Association Score -- Evaluating Fairness Metrics -- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems -- Preserving Utility in Fair Top-k Ranking with Intersectional Bias -- Mitigating Position Bias in Hotels Recommender Systems -- Improving Recommender System Diversity with Variational Autoencoders -- Addressing Biases in the Texts using an End-to-End Pipeline Approach -- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation -- How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment -- Understanding Search Behavior Bias in Wikipedia -- Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations -- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation -- What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks.
Record Nr. UNISA-996546825403316
Boratto Ludovico  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Bias and Fairness in Information Retrieval : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Advances in Bias and Fairness in Information Retrieval : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Autore Boratto Ludovico
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (187 pages)
Disciplina 025.524
Altri autori (Persone) FaralliStefano
MarrasMirko
StiloGiovanni
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Electronic commerce
Computer Engineering and Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 9783031372490
3031372492
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations -- Measuring Bias in Multimodal Models: Multimodal Composite Association Score -- Evaluating Fairness Metrics -- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems -- Preserving Utility in Fair Top-k Ranking with Intersectional Bias -- Mitigating Position Bias in Hotels Recommender Systems -- Improving Recommender System Diversity with Variational Autoencoders -- Addressing Biases in the Texts using an End-to-End Pipeline Approach -- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation -- How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment -- Understanding Search Behavior Bias in Wikipedia -- Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations -- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation -- What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks.
Record Nr. UNINA-9910734876903321
Boratto Ludovico  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Bias and Fairness in Information Retrieval : Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Advances in Bias and Fairness in Information Retrieval : Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (166 pages)
Disciplina 025.524
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Electronic commerce
Computer Engineering and Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 3-031-09316-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems -- Recommender Systems and Users' Behaviour Effect on Choice's Distribution and Quality -- Sequential Nature of Recommender Systems Disrupts the Evaluation Process -- Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures -- A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-box Systems: A Case Study with COVID-related Searches -- The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation -- The Unfairness of Popularity Bias in Book Recommendation -- Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches -- Analysis of Biases in Calibrated Recommendations -- Do Perceived Gender Biases in Retrieval Results affect Users’ Relevance Judgements? -- Enhancing Fairness in Classification Tasks with Multiple Variables: a Data- and Model-Agnostic Approach -- Keyword Recommendation for Fair Search -- FARGO: a Fair, context-AwaRe, Group recOmmender system.
Record Nr. UNINA-9910578689203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui