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Artificial Intelligence Applications and Innovations : 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Part IV / / edited by Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas
Artificial Intelligence Applications and Innovations : 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Part IV / / edited by Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas
Autore Maglogiannis Ilias
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (406 pages)
Disciplina 004
Altri autori (Persone) IliadisLazaros
MacintyreJohn
AvlonitisMarkos
PapaleonidasAntonios
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Computer science
Artificial intelligence
Computer engineering
Computer networks
Computers
Social sciences - Data processing
Computer Science
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Communication Networks
Computer Application in Social and Behavioral Sciences
ISBN 3-031-63223-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Deep Sleep Recognition Based on CNNs and Data Augmentation. -- Gamified Crowd Management Utilizing AR and Computer Vision on the Edge. -- KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach. -- Using DCGANs and HOG+Patch-based CNN for Face Spoofing Mitigation. -- Vertical Federated Image Segmentation. -- A Machine Learning Approach for Points of Interest Extraction and Event Classification. -- An Empirical Analysis of Data Reduction Techniques for k-NN Classification. -- Controlling Popularity Bias in Sequential Recommendation Models. -- Enhanced Item Recommendation via Graph Properties in Sparse Data. -- Modeling the Air Conditioner Performance Tests using Artificial Neural Network Simulator (ANNS-AC). -- Pattern Matching in Polyphonic Musical Sequences. -- A Voting Approach for Explainable Classification with Rule Learning. -- Dynamic Stacking Optimization in Unpredictable Environments : A Focus on Crane Scheduling. -- FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. -- Optimizations for Learning from Linear Feedback Shift Register Variations with Artificial Neural Networks. -- Path planning optimisation for multiple drones: Repositioning the Starting Point. -- The Faculty Assignment Problem in Higher Education: A Shapley Value-based Approach. -- A Multi-Scale Parallel Unsupervised Model For Multivariate Time Series Anomaly Detection. -- Active Learning with Unfiltered Informativeness Technique for Object Detection. -- Assist of AI in a Smart Learning Environment. -- Finding Logical Vulnerability in Policies Using Three-Level Semantic Framework. -- From Tweets to Reddit: Leveraging Semi-Supervised Domain Adaptation for Improving Data Filtering. -- Retail store customer behavior analysis system: Design and Implementation. -- A MARL-based Approach for Easing MAS Organization Engineering. -- EVO: An Ontology for the Field of Electric Vehicles. -- Incremental Conflict-based Search for Multi-agent Path Finding in Dynamic Environment. -- Integrating LLMs in the engineering of a SAR ontology. -- LFENav: LLM-based frontiers exploration for visual semantic navigation.
Record Nr. UNINA-9910866569803321
Maglogiannis Ilias  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence Applications and Innovations : 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas
Artificial Intelligence Applications and Innovations : 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas
Autore Maglogiannis Ilias
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (397 pages)
Disciplina 004
Altri autori (Persone) IliadisLazaros
MacintyreJohn
AvlonitisMarkos
PapaleonidasAntonios
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Computer science
Artificial intelligence
Computer engineering
Computer networks
Computers
Social sciences - Data processing
Computer Science
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Communication Networks
Computer Application in Social and Behavioral Sciences
ISBN 3-031-63211-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- A Novel Signature for Distinguishing Non-Lesional from Lesional Skin of Atopic Dermatitis Based on a Machine Learning Approach. -- Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare. -- Advancing scRNA-seq Data Integration via a Novel Gene Selection Method. -- Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition. -- Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction. -- Evaluation of Language Models for Multilabel Classification of Biomedical Texts. -- Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Major Depressive Disorder. -- Human-In-The-Loop based Success Rate Prediction for Medical Crowdfunding. -- Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis. -- Image-Based Human Action Recognition with Transfer Learning using Grad-CAM for Visualization. -- IRFold: An RNA Secondary Structure Prediction Approach. -- Machine Learning Models for Predicting Celiac Disease Based on Non-invasive Clinical Symptoms. -- Modeling Distributed and Flexible PHM System based on the Belief Function Theory. -- MTA-Net: a Multi-task Assisted Network for Whole-body Lymphoma Segmentation. -- Optimization of healthcare process management using machine learning. -- Revisiting the problem of missing values in high-dimensional data and feature selection effect. -- Semantic Modelling for Representation and Integration of Health Data from Wearable Devices. -- The Role of Epigenetics in OCD: a Multi-Order Adaptive Network Model for DNA-Methylation Pathways and the Development of OCD. -- Towards an Unbiased Classification of Chest X-ray Images using a RL Powered ACGAN Framework. -- Vision transformer based tokenization for enhanced breast cancer histopathological images classification. -- WristSense: A Wrist-wear Dataset for Identifying Aggressive Tendencies. -- A Network-based Intrusion Detection System based on widely used Cybersecurity Datasets and State of the Art ML techniques. -- Effective Machine Learning Techniques and API Realizations for Visualizing Fraud Detection in Customer Transactions. -- Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework. -- Exploration of Ensemble Methods for Cyber Attack Detection in Cyber-Physical Systems. -- Local Community-Based Anomaly Detection in Graph Streams. -- Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection.
Record Nr. UNINA-9910866575303321
Maglogiannis Ilias  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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 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
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 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
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 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
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 V / / 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 V / / 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 (619 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 3-031-44192-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition -- ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-based Generative Adversarial Networks -- Boosting Adversarial Transferability through Intermediate Feature -- DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning -- Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks -- GC-GAN: Photo Cartoonization using Guided Cartoon Generative Adversarial Network -- Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion -- Generative Event Extraction via Internal Knowledge-enhanced Prompt Learning -- Improved attention mechanism and adversarial training for respiratory infectious disease text named entity recognition -- Low-frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack -- Multi-Convolution and Adaptive-stride Based Transferable Adversarial Attacks -- Multi-Source Open-Set Image Classification based on Deep Adversarial Domain Adaptation -- SAL: Salient Adversarial Attack with LRP Refinement -- Towards background and foreground color robustness with adversarial right for the right reasons -- Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation -- TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack -- A spatial interpolation method based on meta-learning with spatial weighted neural networks -- Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure -- An Efficient Approximation Method Based on Enhanced Physics-informed Neural Networks for Solving Localized Wave Solutions of PDEs -- Causal Interpretability and Uncertainty Estimation in Mixture Density Networks -- Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-network with Multi-limit cycle Formulation -- Explaining, Evaluating and Enhancing Neural Networks' Learned Representations -- Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment -- Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics -- Guiding the Comparison of Neural Network Local Robustness: An Empirical Study -- Information-Theoretically Secure Neural Network Training with Flexible Deployment -- LRP-GUS: A visual based data reduction algorithm for Neural Networks -- Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments -- Mixed-mode response of Nigral Dopaminergic neurons: an in silico study on SpiNNaker -- Pan-Sharpening with Global Multi-Scale Context Network -- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison -- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison -- QuasiNet: a neural network with trainable product layers -- Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings -- Real-time Adaptive Physical Sensor Processing with SNN Hardware -- Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers -- SGNN: A new method for learning representations on signed networks -- SkaNet: Split Kernel Attention Network -- Syntax-Aware Complex-Valued Neural Machine Translation -- Traffic Flow Prediction Based on Multi-Type Characteristic Hybrid Graph Neural Network -- Whisker Analysis Framework for Unrestricted Mice with Neural Networks -- Adaptive Segmentation Network for Scene Text Detection -- How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction -- Label-guided Graphormer for Hierarchy Text Classification -- Text Semantic Matching Research Based on Parallel Dropout -- Towards Better Core Elements Extraction for Customer Service Dialogue Text -- UIT: Unifying Pre-Training Objectives for Image-Text Understanding.
Record Nr. UNISA-996550552503316
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 VI / / 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 VI / / 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 (621 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 3-031-44223-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space -- Air-to-Ground Active Object Tracking via Reinforcement Learning -- Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-Processing of Recurrent Neural Networks -- Group-Agent Reinforcement Learning -- Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction -- Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning -- LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules -- Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration -- Multi-fusion Recurrent Network for Argument Pair Extraction -- Pacesetter Learning For Large Scale Cooperative Multi-Agent Reinforcement Learning -- Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks -- t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks -- Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams -- An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting -- Generating Sparse Counterfactual Explanations For Multivariate Time Series -- Graph Neural Network-Based Representation Learning for Medical Time Series -- Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting -- MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting -- MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification -- Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering -- Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting -- Temporal Attention Signatures for Interpretable Time-Series Prediction -- Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network -- WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting -- A Novel Encoder and Label Assignment for Instance Segmentation -- A Transformer-based Framework for Biomedical Information Retrieval Systems -- A Transformer-Based Method for UAV-View Geo-Localization -- Cross-graph Transformer Network for Temporal Sentence Grounding -- EGCN: A Node Classification Model based on Transformer and Spatial Feature Attention GCN for Dynamic Graph -- Enhance Representational Differentiation Step By Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification -- GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction -- Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer -- Hierarchical Vision and Language Transformer for Efficient Visual Dialog -- ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection -- Imbalanced Conditional Conv-Transformer For Mathematical Expression Recognition -- Knowledge Graph Transformer for Sequential Recommendation -- LorenTzE: Temporal Knowledge Graph Embedding based on Lorentz Transformation -- MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion -- NeuralODE-based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-dimensional Dynamical Systems -- RRecT: Chinese Text Recognition with Radical-enhanced Recognition Transformer -- S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution -- Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition -- SHGAE: Social Hypergraph AutoEncoder for Friendship Inference -- Temporal Deformable Transformer For Action Localization -- Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.
Record Nr. UNISA-996550552903316
Iliadis Lazaros  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui