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Belief Functions: Theory and Applications : 8th International Conference, BELIEF 2024, Belfast, UK, September 2–4, 2024, Proceedings / / edited by Yaxin Bi, Anne-Laure Jousselme, Thierry Denoeux
Belief Functions: Theory and Applications : 8th International Conference, BELIEF 2024, Belfast, UK, September 2–4, 2024, Proceedings / / edited by Yaxin Bi, Anne-Laure Jousselme, Thierry Denoeux
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (0 pages)
Disciplina 658.403
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Probabilities
Artificial Intelligence
Probability Theory
ISBN 3-031-67977-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Machine learning. -- Deep evidential clustering of images. -- Incremental Belief-peaks Evidential Clustering. -- Imprecise Deep Networks for Uncertain Image Classification. -- Dempster-Shafer Credal Probabilistic Circuits. -- Uncertainty quantification in regression neural networks using likelihood-based belief functions. -- An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. -- Object Hallucination Detection in Large Vision Language Models via Evidential Conflict. -- Multi-oversampling with evidence fusion for imbalanced data classification. -- An Evidence-based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. -- Conflict Management in a Distance to Prototype-Based Evidential Deep Learning. -- A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-based Evidential Deep Neural Network. -- Statistical inference. -- Large-sample theory for inferential models: A possibilistic Bernstein–von Mises theorem. -- Variational approximations of possibilistic inferential models. -- Decision theory via model-free generalized fiducial inference. -- Which statistical hypotheses are afflicted with false confidence?. -- Algebraic expression for the relative likelihood-based evidential prediction of an ordinal variable. -- Information fusion and optimization. -- Why Combining Belief Functions on Quantum Circuits?. -- SHADED: Shapley Value-based Deceptive Evidence Detection in Belief Functions. -- A Novel Optimization-Based Combination Rule for Dempster-Shafer Theory. -- Fusing independent inferential models in a black-box manner. -- Optimization under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives. -- Measures of uncertainty, conflict and distances. -- A mean distance between elements of same class for rich labels. -- Threshold Functions and Operations in the Theory of Evidence. -- Mutual Information and Kullback-Leibler Divergence in the Dempster-Shafer Theory. -- An OWA-based Distance Measure for Ordered Frames of Discernment. -- Automated Hierarchical Conflict Reduction for Crowdsourced Annotation Tasks using Belief Functions. -- Continuous belief functions, logics, computation. -- Gamma Belief Functions. -- Combination of Dependent Gaussian Random Fuzzy Numbers. -- A 3-valued Logical Foundation for Evidential Reasoning. -- Accelerated Dempster Shafer using Tensor Train Representation.
Record Nr. UNINA-9910881096003321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
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Intelligent Systems and Applications : Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 2 / / edited by Yaxin Bi, Rahul Bhatia, Supriya Kapoor
Intelligent Systems and Applications : Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 2 / / edited by Yaxin Bi, Rahul Bhatia, Supriya Kapoor
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (1,327 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Control engineering
Robotics
Automation
Computational Intelligence
Control, Robotics, Automation
ISBN 3-030-29513-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A New Approach of Service Platform for Water Optimization in Lettuce Crops using Wireless Sensor Network -- A Novel AI based Optimization of Node Selection and Information Fusion in Cooperative Wireless Networks -- Using Automated State Space Planning for E‚ffective Management of Visual Information and Learner’s Attention in Virtual Reality -- Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi -- Analysing Data Set of the Bike-sharing System Demand with R Scripts: Mexico City Case -- Less-than-truckload Shipper Collaboration in the Physical Internet -- Automatic Curation System using Multimodal Analysis Approach (MAA) -- Figurative Language Grounding in Humanoid Robots -- LIT: Rule based Italian Lemmatizer -- Combining Diffusion Processes for Semi-Supervised Learning on Graph Structured Data -- A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) using Artificial Neural Network (ANN) -- Ensemble Approach for Left Ventricle Segmentation -- Autonomous Robot Navigation with Signaling based on Objects Detection Techniques and Deep Learning Networks -- GMC: Grid Based Motion Clustering in Dynamic Environment -- A Machine Learning Approach for Classification of Tremor- a Neurological Movement Disorder.
Record Nr. UNINA-9910483653603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
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Lo trovi qui: Univ. Federico II
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Intelligent Systems and Applications : Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1 / / edited by Yaxin Bi, Rahul Bhatia, Supriya Kapoor
Intelligent Systems and Applications : Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1 / / edited by Yaxin Bi, Rahul Bhatia, Supriya Kapoor
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (1,316 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Control engineering
Robotics
Automation
Computational Intelligence
Control, Robotics, Automation
ISBN 3-030-29516-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Can Human Evidence Accumulation be Modeled using the Set-Theoretic Nature of Dempster-Shafer Theory? -- Emotional Speech Recognition using SMILE Features and Random Forest Tree -- A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations -- A Novel Algorithm for Dynamic Student Profile Adaptation based on Learning Styles -- Exploring Transfer Learning for Low Resource Emotional TTS -- Emotional Speech Datasets for English Speech Synthesis Purpose : A Review -- HORUS: An Emotion Recognition Tool -- Explanatory AI for Pertinent Communication in Autonomic Systems -- Bitcoin: A Total Turing Machine -- Agent-based Turing-Complete Transactions Integrating Feedback within a Blockchain System -- Decentralized Autonomous Corporations -- Validity Evaluation for the Data used for Artificial Intelligence System -- Who has Better Driving Style: Let Data Tell Us -- Visual Ontology Sketching for Preliminary Knowledge Base Design -- Shape Reconstruction from a Monocular Defocus Image using CNN -- ROM-based Deep Learning Inference for Sleep Stage Classification -- Fuzzy Control Techniques for Energy Conversion Systems -- Design and Implementation of the IMU Human Body Motion Tracking System -- Using Low-level Sensory Data to Recognize Events in a Smart Home -- The Role of Corporate Ontology in the IT Support of Processes Management.
Record Nr. UNINA-9910483653403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
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Lo trovi qui: Univ. Federico II
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Intelligent Systems and Applications : Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016 / / edited by Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Intelligent Systems and Applications : Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016 / / edited by Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (IX, 476 p. 255 illus., 195 illus. in color.)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-69266-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pattern sets for financial prediction: A follow-up -- OptimumWells Placement in Oil Fields using Cellular Genetic Algorithms and Space Efficient Chromosomes -- Transient Stability Enhancement using Sliding Mode based NeuroFuzzy Control for SSSC -- A Multi-objective Genetic Algorithm for Path Planning with Micro Aerial Vehicle Test Bed -- Mining Process Model Descriptions of Daily Life through Event Abstraction -- A novel approach for time series forecasting with multiobjective clonal selection optimization and modeling -- ARTool - Augmented Reality Human-Machine Interface for Machining Setup and Maintenance -- Some Properties of Gyrostats Dynamical Regimes close to New Strange Attractors of the Newton-Leipnik Type -- Toward Designing an efficient System for Delivering Contextual Content -- The CaMeLi Framework - A Multimodal Virtual Companion for Older Adults -- Emotional Domotics: Inhabitable home automation system for emotion modulation through facial analysis -- Measuring Behavioural Change of Players in Public Goods Game -- Object Segmentation for Vehicle Video and Dental CBCT by Neuromorphic Convolutional Recurrent Neural Network -- Multi-recource Minority Game andWeighted Resources -- M2M Routing Protocol for Energy Efficient and Delay Constrained in IoT Based on an Adaptive Sleep Mode -- Integration of Fuzzy C-Means and Artificial Neural Network for Short-Term Localized Rainfall Forecasting in Tropical Climate -- Neural Network Configurations Analysis for Recognition System of Pattern of Speech Signal based on Low Order DCT Parameters -- Knowledge-based expert system using a set of rules to assist a tele-operated mobile rob -- Fuzzy Waypoint Guidance Controller for Wave Adaptive Modular Vessel (WAM-V) -- Trust and Resource Oriented Communication Scheme in Mobile Ad hoc Networks -- Hybrid Audio Steganography and Cryptography Method Based on High Least Significant Bit (LSB) Layers and One-time Pad - A Novel Approach -- Generalised and Versatile Connected Health Solution on the Zynq SoC.
Record Nr. UNINA-9910739417803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Systems and Applications : Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 / / edited by Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Intelligent Systems and Applications : Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 / / edited by Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (IX, 450 p. 191 illus., 131 illus. in color.)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Statistical physics
Dynamical systems
Computational Intelligence
Artificial Intelligence
Complex Systems
Statistical Physics and Dynamical Systems
ISBN 3-319-33386-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Hybrid Intelligent Approach for Metal-Loss Defect Depth Prediction in Oil and Gas Pipelines -- Predicting Financial Time Series Data Using Hybrid Model -- Diagnosis System for Predicting Bladder Cancer Recurrence using Association Rules and Decision Trees -- An Unsupervised Text-Mining Approach and a Hybrid Methodology to Improve Early Warnings in Construction Project Management -- Quantitative Assessment of Anomaly Detection Algorithms in Annotated Datasets from the Maritime Domain -- Using Fuzzy PROMETHEE to Select Countries for Developmental Aid -- Self-Reconfiguring Robotic Framework Using Fuzzy and Ontological Decision Making -- Design and Optimization of Permanent Magnet Based Adhesion Module for Robots Climbing on Reinforced Concrete Surfaces -- Implementation of PID, Bang-bang and Backstepping con-trollers on 3D Printed Ambidextrous Robot Hand -- Multiple Robots Task Allocation for Cleaning and Delivery -- Optimal Tuning of Multivariable Centralized Fractional Order PID Controller using Bat Optimization and Harmony Search Algorithms for Two Interacting Conical Tank Process -- Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller -- Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons -- Assembly Assisted by Augmented Reality (A3R) -- Maximising Overlap Score in DNA Sequence Assembly Problem by Stochastic Diffusion Search -- A Comparative Analysis of Detecting Symmetries in Toroidal Topology -- Power Quality Enhancement in Off-Grid Hybrid Renewable Energy Systems Using Type-2 Fuzzy Control of Shunt Active Filter -- Fast Intra Mode Decision for HEVC -- WSN Efficient Data Management and Intelligent Communication for Load Balancing Based on Khalimsky Topology and Mobile Agents -- Indirect Method of Learning Weights Parameters of Intuitionistic Statement Networks -- Combined Data and Execution Flow Host Intrusion Detection using Machine Learning.
Record Nr. UNINA-9910254238403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 461 p. 159 illus., 141 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data structures (Computer science)
Information theory
Application software
Computer science
Information technology - Management
Social sciences - Data processing
Artificial Intelligence
Data Structures and Information Theory
Computer and Information Systems Applications
Theory of Computation
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
ISBN 3-031-40286-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Engineering Research and Applications -- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification -- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set -- Implicit Offensive Speech Detection Based on Multi-feature Fusion -- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios -- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy -- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification -- A comparative study of chatbot response generation: traditional approaches versus large language models -- Investigating the Impact of Product Contours on User Perception of Product Attributes -- Conf-UNet: A model for speculation on unknown Oracle Bone Characters -- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking -- Sampling Spatial-Temporal Attention Network for Traffic Forecasting -- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction -- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions -- Tennis action recognition based on multi-branch mixed attention -- Cascade Sampling via Dual Uncertainty for Active Entity Alignment -- Template Shift and Background Suppression for Visual Object Tracking -- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism -- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment -- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated -- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization -- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning -- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction -- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion -- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction -- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction -- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction -- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network -- Semi-supervised entity alignment via noisy student-based self training -- Modeling Chinese Ancient Book Catalog -- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING -- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization -- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining -- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge -- A Cross-Document Coreference Resolution Approach to Low-Resource Languages -- Network Flow Based IoT Anomaly Detection Using Graph Neural Network -- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction. .
Record Nr. UNINA-9910741148803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 3-031-40292-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis.
Record Nr. UNISA-996546854103316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 438 p. 120 illus., 115 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 3-031-40289-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.
Record Nr. UNISA-996546854003316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 461 p. 159 illus., 141 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data structures (Computer science)
Information theory
Application software
Computer science
Information technology - Management
Social sciences - Data processing
Artificial Intelligence
Data Structures and Information Theory
Computer and Information Systems Applications
Theory of Computation
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
ISBN 3-031-40286-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Engineering Research and Applications -- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification -- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set -- Implicit Offensive Speech Detection Based on Multi-feature Fusion -- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios -- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy -- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification -- A comparative study of chatbot response generation: traditional approaches versus large language models -- Investigating the Impact of Product Contours on User Perception of Product Attributes -- Conf-UNet: A model for speculation on unknown Oracle Bone Characters -- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking -- Sampling Spatial-Temporal Attention Network for Traffic Forecasting -- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction -- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions -- Tennis action recognition based on multi-branch mixed attention -- Cascade Sampling via Dual Uncertainty for Active Entity Alignment -- Template Shift and Background Suppression for Visual Object Tracking -- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism -- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment -- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated -- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization -- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning -- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction -- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion -- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction -- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction -- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction -- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network -- Semi-supervised entity alignment via noisy student-based self training -- Modeling Chinese Ancient Book Catalog -- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING -- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization -- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining -- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge -- A Cross-Document Coreference Resolution Approach to Low-Resource Languages -- Network Flow Based IoT Anomaly Detection Using Graph Neural Network -- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction. .
Record Nr. UNISA-996546854203316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 3-031-40292-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis.
Record Nr. UNINA-9910741165603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
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