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Advances in Big Data : Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece / / edited by Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco
Advances in Big Data : Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece / / edited by Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 348 p. 101 illus.)
Disciplina 005
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Data mining
Artificial intelligence
Computational Intelligence
Data Mining and Knowledge Discovery
Artificial Intelligence
ISBN 3-319-47898-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Predicting human behavior based on web search activity: Greek referendum of 2015 -- Compact Video Description and Representation for Automated Summarization of Human Activities -- Attribute Learning for Network Intrusion Detection -- A Fast Deep Convolutional Neural Network for face detection in Big Visual Data -- Learning Symbols by Neural Network -- Designing HMMs models in the age of Big Data -- Extended Formulations for Online Action Selection on Big Action Sets -- Multi-Task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports -- An infrastructure and approach for infering knowledge over Big Data in the Vehicle Insurance Industry -- Unified Retrieval Model of Big Data -- Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species.
Record Nr. UNINA-9910136001703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
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Lo trovi qui: Univ. Federico II
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Advances in Computational Intelligence Systems : Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK / / edited by Plamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen
Advances in Computational Intelligence Systems : Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK / / edited by Plamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (493 p.)
Disciplina 620
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Optical data processing
Control engineering
Artificial intelligence
Computational Intelligence
Image Processing and Computer Vision
Control and Systems Theory
Artificial Intelligence
ISBN 3-319-46562-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Search and Optimisation (SO) -- Modelling and Simulation (MS) -- Analysis and Detection (AD) -- Cognition and Control (CC) -- Learning and Evolution (LE) -- Clustering and Regression (CR).
Record Nr. UNINA-9910254160803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
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Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change : Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), November 22-24, 2017, Popayán, Colombia / / edited by Plamen Angelov, Jose Antonio Iglesias, Juan Carlos Corrales
Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change : Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), November 22-24, 2017, Popayán, Colombia / / edited by Plamen Angelov, Jose Antonio Iglesias, Juan Carlos Corrales
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 265 p. 118 illus.)
Disciplina 333.7614
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Agriculture
Climate change
Artificial intelligence
Electrical engineering
Computational Intelligence
Climate Change/Climate Change Impacts
Artificial Intelligence
Communications Engineering, Networks
ISBN 3-319-70187-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299875203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II : Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), November 21-23, 2018, Cali, Colombia / / edited by Juan Carlos Corrales, Plamen Angelov, José Antonio Iglesias
Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II : Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), November 21-23, 2018, Cali, Colombia / / edited by Juan Carlos Corrales, Plamen Angelov, José Antonio Iglesias
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (275 pages)
Disciplina 630.2516
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Agriculture
Climate change
Artificial intelligence
Electrical engineering
Computational Intelligence
Climate Change/Climate Change Impacts
Artificial Intelligence
Communications Engineering, Networks
ISBN 3-030-04447-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Inference System to Schedule Irrigation Applications with an Intelligent Agent -- Decision Support System for Precision Irrigation Using Interactive Maps and Multi-agent concepts -- Silkworm Growth Monitoring in Second Stage -Instar- Using Artificial Vision Techniques -- Wireless Sensor Network for Monitoring Climatic Variables and Greenhouse Gases in a Sugarcane Crop -- Design and Development of an Intelligent Seed Germination System Based on IoT -- Electronic Crop(e-Crop): An Intelligent IoT Solution for Optimum Crop Production -- Coffee crops variables monitoring: A case of study in Ecuadorian Andes -- IoT Network Applied to Agriculture: Monitoring Stations for Irrigation Management in Soils Cultivated with Sugarcane.
Record Nr. UNINA-9910483277903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
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Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (559 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computers
Computer engineering
Computer networks
Artificial Intelligence
Computer and Information Systems Applications
Computing Milieux
Computer Engineering and Networks
ISBN 3-031-44195-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Shallow Information Enhanced Efficient Small Object Detector based on YOLOv5 -- Adaptive Dehazing YOLO for Object Detection -- Adaptive Training Strategies for Small Object Detection using Anchor-based Detectors -- Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection -- Dual Attention Feature Fusion for Visible-Infrared Object Detection -- Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning -- Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting -- GaitFusion: Exploring the fusion of silhouettes and optical flow for gait recognition -- Gradient Adjusted and Weight Rectified Mean Teacher for Source-free Object Detection -- IMAM: Incorporating multiple attention mechanisms for 3D Object Detection from Point Cloud -- LGF2: Local and Global Feature Fusion for Text-guided Object Detection -- MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection -- Object Detection in Foggy Images with Transmission Map Guidance -- PE-YOLO: Pyramid Enhancement Network for Dark Object Detection -- Region Feature Disentanglement for Domain Adaptive Object Detection -- ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion -- SDGC-YOLOv5: A more accurate model for small object detection -- The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals -- Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function -- Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer -- X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images -- Aggregate Distillation For Top-K Recommender System -- Candidate-Aware Dynamic Representation for News Recommendation -- Category Enhanced Dual View Contrastive Learning for Session-based Recommendation -- Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition -- Incremental Recommendation Algorithm based on the Influence Propagation Model -- Scenic Spot Recommendation Method Integrating Knowledge Graph And Distance Cost -- A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection -- Adaptive Token Excitation With Negative Selection For Video-Text Retrieval -- Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization -- Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition -- Correction while Recognition: Combining Pretrained Language Model for Taiwan-accented Speech Recognition -- Cross-Camera Prototype Learning for Intra-Camera Supervised Person Re-Identification -- ECDet: A Real-time Vehicle Detection Network for CPU-only Devices -- Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering -- Learning Video Localization on Segment-Level Video Copy Detection with Transformer -- Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation -- MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate -- OWS-Seg: online weakly supervised video instance segmentation via contrastive learning -- Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition -- Self-Supervised Video Object Segmentation Using Motion Feature Compensation -- Space-Time Video Super-Resolution Based on Long-Term Time Dependence.
Record Nr. UNISA-996550552803316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part I / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part I / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (623 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computers
Computer engineering
Computer networks
Artificial Intelligence
Computer and Information Systems Applications
Computing Milieux
Computer Engineering and Networks
ISBN 3-031-44207-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A classification performance evaluation measure considering data separability -- A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-Label Classification -- A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification -- A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation -- A Policy for Early Sequence Classification -- A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases -- An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-class Teaching Quality Evaluation -- Architecturing Binarized Neural Networks for Traffic Sign Recognition -- Boosting Few-Shot Classification with Lie Group Contrastive Learning -- Context Enhancement Methodology for action recognition in still images -- Discrete Denoising Diffusion Approach to Integer Factorization -- Distinguishing the correctness of knowledge makes knowledge transfer better -- Diversified Contrastive Learning For Few-Shot Classification -- Enhancing Cross-lingual Few-shot Named Entity Recognition by Prompt-guiding -- FAIR: A Causal Framework for Accurately Inferring Judgments Reversals -- FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification -- FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data -- Fusing Hand and Body Skeletons for Human Action Recognition in Assembly -- Gaze Behavior Patterns for Early Drowsiness Detection -- GH-QFL: Enhancing Industrial Defect Detection through Hard Example Mining -- HaarStyle:Revision Style Transfer Based on Multiple Resolutions -- Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media -- SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification -- Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection -- SWP:A Sliding Window Prompt for Emotion Recognition in Conversation -- VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios -- CFNet: Point Cloud Upsampling via Cascaded Feedback Network -- DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds -- Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis -- PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure -- Accurate detection of spiking motifs in multi-unit raster plots -- Context-dependent computations in spiking neural networks with apical modulation -- QMTS: Fixed-point quantization for multiple-timescale spiking neural networks -- Self-Organizing Temporally Coded Representation Learning -- A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot -- Clarifying the Half Full or Half Empty Question: Multimodal Container Classification -- CycleIK: Neuro-inspired Inverse Kinematics -- Robot at the mirror: learning to imitate via associating self-supervised models -- Approximation of Binary-Valued Functions by Networks of Finite VC Dimension -- Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures -- Improving Neural Network Verification Efficiency through Perturbation Refinement -- Relative intrinsic dimensionality is intrinsic to learning -- The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning -- Componentwise Adversarial Attacks -- Decorelated Weight Initialization by Backpropagation -- Exploring individuality in human EEG using reservoir computing -- Learning efficient backprojections across cortical hierarchies in real time -- Neural self-organization for muscle-driven robots -- Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization -- Reinforcement Learning with Memory based Automatic Chunking for Complex Skill Acquisition -- Retinotopy improves the categorisation and localisation of visual objects in CNNs -- Safe Reinforcement Learning in a Simulated Robotic Arm.
Record Nr. UNISA-996550552603316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part X / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part X / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (575 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computer engineering
Computer networks
Computers
Artificial Intelligence
Computer and Information Systems Applications
Computer Engineering and Networks
Computing Milieux
ISBN 3-031-44204-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation -- A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays -- A Depth-guided Attention Strategy for Crowd Counting -- A Noise Convolution Network for Tampering Detection -- Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction -- Block-level Stiffness Analysis of Residual Networks -- CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs -- Conditional Convolution Residual Network for Efficient Super-Resolution -- Cross Attention with Deep Local Features for Few-shot Image Classification -- Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module -- Deep-learning Based Three Channel Defocused Projection Profilometry -- Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection -- DLUIO: Detecting Useful Investor Opinions by Deep Learning -- Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor -- Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions -- Energy Complexity Model for Convolutional Neural Networks -- Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning -- Evidential Robust Deep Learning for Noisy Text2text Question Classification -- FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction -- Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks -- Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks -- Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing -- LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition -- MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention -- Maintenance automation using deep learning methods a case study from the aerospace industry -- MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging -- Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment -- Multi-relation Representation Learning based Deep Network for Patent Classification -- One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis -- Patches Channel Attention For Human Sitting Posture Recognition -- RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection -- Rethinking CNN Architectures in Transformer Detectors -- Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation -- Self-Supervised Graph Convolution for Video Moment Retrieval -- Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking -- Taper Residual Dense Network for Audio Super-Resolution -- VPNDroid: Malicious Android VPN detection using a CNN-RF method -- Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics -- BLR:A multi-modal sentiment analysis model -- Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis -- Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality -- Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis -- Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks -- Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction.
Record Nr. UNISA-996550553303316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part II / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part II / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (626 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computers
Computer engineering
Computer networks
Artificial Intelligence
Computer and Information Systems Applications
Computing Milieux
Computer Engineering and Networks
ISBN 3-031-44210-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Data Augmentation based ViT for Fine-Grained Visual Classification -- A Detail Geometry Learning Network for High-Fidelity Face Reconstruction -- A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining -- A Multi-Scale Method for Cell Segmentation in Fluorescence Microscopy Images -- Adaptive interaction-based multi-view 3D object reconstruction -- An auxiliary modality based Text-Image matching methodology for fake news detection -- An Improved Lightweight YOLOv5 for Remote Sensing Images -- An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection -- ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images -- Cascaded Network-based Single-View Bird 3D Reconstruction -- CLASPPNet: A Cross-Layer Multi-Class Lane Semantic Segmentation Model Fused with Lane Detection Module -- Classification-based and Lightweight Networks For Fast Image Super Resolution -- CLN: Complementary Learning Network For 3D Face Reconstruction And Alignment -- Combining Edge-guided Attention and Sparse-connected U-Net for Detection of Image Splicing -- Contour-augmented Concept Prediction Network for image captioning -- Contrastive Knowledge Amalgamation for Unsupervised Image Classification -- Cross Classroom Domain Adaptive Object Detector for Student's Heads -- Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models -- DWA: Differential Wavelet Amplifier for Image Super-Resolution -- Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory -- End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters -- E-Patcher: A Patch-based Efficient Network for Fast Whole Slide Images Segmentation -- Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality -- Extraction Method of Rotated Objects from High-resolution Remote Sensing Images -- Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation -- Ga-RFR: Recurrent Feature Reasoning with gated convolution for Chinese Inscriptions Image Inpainting -- Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples -- Image Caption with Prior Knowledge Graph and Heterogeneous Attention -- Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network -- Improving Image Captioning with Feature Filtering and Injection -- In silico study of single synapse dynamics using a three-state kinetic model -- Interpretable Image Recognition by Screening Class-specific and Class-shared Prototypes -- Joint Edge-guided and Spectral Transformation Network for Self-Supervised X-ray Image Restoration -- Lightweight Human Pose Estimation Based On Densely Guided Self-Knowledge Distillation -- MCAPR: Multi-Modality Cross Attention for Camera Absolute Pose Regression -- MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision -- Medical Image Segmentation and Saliency Detection through a Novel Color Contextual Extractor -- MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images -- Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks -- Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking -- Multi-scale field distillation for multi-task semantic segmentation -- Neural Field Conditioning Strategies for 2D Semantic Segmentation -- Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes -- PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis -- Pie-UNet: A novel Parallel Interaction Encoder for Medical Image Segmentation -- Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images -- PSR-Net A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images.
Record Nr. UNISA-996550552703316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part III / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part III / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (624 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computers
Computer engineering
Computer networks
Artificial Intelligence
Computer and Information Systems Applications
Computing Milieux
Computer Engineering and Networks
ISBN 3-031-44213-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN -- Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion -- CSEDesc: CyberSecurity Event Detection with Event Description -- GanNeXt: A New Convolutional GAN for Anomaly Detection -- K-Fold Cross-Valuation for Machine Learning Using Shapley Value -- Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning -- Time Series Anomaly Detection with Reconstruction-Based State-Space Models -- ReDualSVG: Refined Scalable Vector Graphics Generation -- Rethinking Feature Context in Learning Image-guided Depth Completion -- Semantic and Frequency Representation Mining for Face Manipulation Detection -- Single image dehazing network based on serial feature attention -- SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA -- STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment -- Style Expansion without Forgetting for Handwritten Character Recognition -- TransVQ-VAE: Generating Diverse Images using Hierarchical Representation Learning -- UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification -- Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction -- Visible-Infrared Person Re-Identification via Modality Augmentation and Center Constraints -- Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement -- A Partitioned Detection Architecture for Oriented Objects -- A Personalized Federated Multi-Task Learning Scheme for Encrypted Traffic Classification -- Addressing delays in Reinforcement Learning via Delayed Adversarial Imitation Learning -- An Evaluation of Self-Supervised Learning for Portfolio Diversification -- An exploitation-enhanced Bayesian optimization algorithm for high-dimensional expensive problems -- Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model -- CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning -- Contrastive Learning and the Emergence of Attributes Associations -- Contrastive Learning for Sleep Staging based on Inter Subject Correlation -- Diffusion Policies as Multi-Agent Reinforcement Learning Strategies -- Dynamic Memory-based Continual Learning with Generating and Screening -- Enhancing Text2SQL Generation with Syntactic Infor-mation and Multi-Task Learning -- Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling -- Find Important Training Dataset by Observing the Training Sequence Similarity -- Generating Question-Answer Pairs for Few-shot Learning -- GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection -- Gradient-Boosted Based Structured and Unstructured Learning -- Graph Federated Learning Based on the Decentralized Framework -- Heterogeneous Federated Learning Based on Graph Hypernetwork -- Learning to Resolve Conflicts in Multi-Task Learning -- Neighborhood-oriented Decentralized Learning Communication in Multi-Agent System -- NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme using Natural Language Inference and Negative Sampling -- pFedLHNs: Personalized Federated Learning via Local Hypernetworks -- Prototype Contrastive Learning for Personalized Federated Learning -- PTSTEP: Prompt Tuning for Semantic Typing of Event Processes -- SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning -- Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning -- Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.
Record Nr. UNISA-996550553203316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
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Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Artificial Neural Networks and Machine Learning – ICANN 2023 [[electronic resource] ] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV / / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Autore Iliadis Lazaros
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (633 pages)
Disciplina 006.3
Altri autori (Persone) PapaleonidasAntonios
AngelovPlamen
JayneChrisina
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Application software
Computer engineering
Computer networks
Computers
Artificial Intelligence
Computer and Information Systems Applications
Computer Engineering and Networks
Computing Milieux
ISBN 3-031-44216-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data -- An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data -- Analysis and Interpretation of ECG Time series through Convolutional Neural Networks in Brugada Syndrome Diagnosis -- Analysis of Augmentations in Contrastive Learning for Parkinson’s Disease Diagnosis -- BF-Net: A Fine-Grained Network for Identify Bacterial and Fungal Keratitis -- Bilateral Mammogram Mass Detection Based On Window Cross Attention -- Boundary Attentive Spatial Multi-Scale Network For Cardiac MRI Image Segmentation -- Clinical pixel feature recalibration module for ophthalmic image classification -- CopiFilter: An Auxiliary Module Adapts Pre-trained Transformers for Medical Dialogue Summarization -- IESBU-Net: A lightweight skin lesion segmentation UNet with inner-module extension and skip-connection bridge -- Molecular Substructure-based Double-Central Drug-Drug Interaction prediction -- Prediction of cancer drug sensitivity based on GBDT-RF algorithm -- Risk stratification of malignant melanoma using neural networks -- Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis -- The Optimization and Parallelization of Two-Dimensional Zigzag Scanning on the Matrix -- Tooth segmentation from Cone-Beam CT Images through boundary refinement -- Transformer Based Prototype Learning for Weakly-Supervised Histopathology Tissue Semantic Segmentation -- A Balanced Relation Prediction Framework for Scene Graph Generation -- A Graph Convolutional Siamese Network for Assessment and Recognition Physical Rehabilitation Exercises -- A Graph Neural Network-based Smart Contract Vulnerability Detection Method With Artificial Rule -- Adaptive Randomized Graph Neural Network based on Markov Diffusion Kernel -- Adaptive Weighted Multi-View Evidential Clustering -- An untrained neural model for fast and accurate graph classification -- BGEK: External Knowledge-enhanced Graph Convolutional Networks for Rumor Detection in Online Social Networks -- BIG-FG: A Bi-directional Interaction Graph Framework with Filter Gate Mechanism for Chinese Spoken Language Understanding -- Co-RGCN: A Bi-path GCN-based Co-Regression model for Multi-intent Detection and Slot Filling -- DNFS: a Digraph Neural Network with the First-order and the Second-order Similarity -- Efficient Question Answering Based on Language Models and Knowledge Graphs -- Event association analysis using graph rules -- Fake Review Detection via Heterogeneous Graph Attention Network -- GatedGCN with GraphSage to Solve Traveling Salesman Problem -- GNN Graph Classification Method to Discover Climate Change Patterns -- GNN-MRC: Machine Reading Comprehension based on GNN Augmentation -- Graph Convolutional Network Semantic Enhancement Hashing for Self-supervised Cross-Modal Retrieval -- Heterogeneous Graph Neural Network Knowledge Graph Completion Model Based on Improved Attention Mechanism -- Hierarchical Diachronic Embedding of Knowledge Graph combined with Fragmentary Information Filtering -- K-DLM: A Domain-Adaptive Language Model Pre-Training Framework with Knowledge Graph -- Label Enhanced Graph Attention Network for Truth Inference -- LogE-Net: Logic evolution network for temporal knowledge graph forecasting -- LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration -- Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling -- Multimodal Cross-Attention Graph Network for Desire Detection -- Negative Edge Prediction for Attributed Graph Clustering -- One-Class Intrusion Detection with Dynamic Graphs -- Sequence-based Modeling for Temporal Knowledge Graph Link Prediction -- Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction -- Supervised Attention Using Homophily in Graph Neural Networks -- Target-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph.
Record Nr. UNISA-996550553103316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui