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检索条件"任意字段=International Conference on Computing and Machine Learning, CML 2024"

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international conference on computing and machine learning, cml 2024

International Conference on Computing and Machine Learning, ...

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international conference on computing and machine learning, cml 2024

ISBN: (纸本)9789819778386

The proceedings contain 37 papers. The special focus in this conference is on computing and machine learning. The topics include: ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection for Feature Reduction;Enhancing Path Planning with Obstacles Via a Combined Dijkstra-LbCS Methodology;revitalising Volunteerism: The Transformative Influence of Artificial Intelligence in Volunteer Management;optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs;intelligent Surveillance Camera System Based on Object Tracking;data-Efficient Training for Effective Paraphrase Retrieval Techniques Using Language Models to Identify Research Gaps;Enhancing IoT Anomaly Detection with DBSCAN—A Data-Driven Approach;Enhancing Efficiency and Functionality of Voice-Controlled Cars Through NLP Techniques and Additional Features;ensembling of Performance Metrics in Credit Risk Assessment Using machine learning Analytics;GUARDING THE GATE: Innovative Solutions for Third-Party App Vulnerabilities;prediction of Compressive Strength of Geopolymer Concrete via machine learning Techniques;Personalized Stress Mitigation Through EEG Based Stress Classification and Music Recommendation;detection and Prediction of Alzheimer’s Disease Using Rule Induction Method;Heart Disease Prediction Using Bagging QSVC Algorithm;loopholes in Security Implementation of Cloud and IoT Environment: Case Study of a Recent Security Incident;speckle Noise Removal from Three-Dimensional Ultrasound Images of Ovaries;Leveraging 3D Faster R-CNN for 3D Dental X-ray Restoration and Treatment Identification;rainfall Prediction in Diverse Indian Regions Using machine learning Approaches;climacteric Fruit Skin Defect Region Segmentation by Boundary Identification Using Morphologically Enhanced Watershed;Decoding Sentiments: Harnessing the Power of NLP for Comparative Analysis of ML Algorithms.

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international conference on computing and machine learning, cml 2024

International Conference on Computing and Machine Learning, ...

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international conference on computing and machine learning, cml 2024

ISBN: (纸本)9789819765874

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international conference on computing and machine learning, cml 2024

International Conference on Computing and Machine Learning, ...

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international conference on computing and machine learning, cml 2024

ISBN: (纸本)9789819775484

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9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of machine Intelligence in Medical Image computing, iMIMIC 2024, Embodied AI and Robotics for HealTHcare Workshop, EARTH 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated learning, DeCaF 2024 held at 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

9th International Skin Imaging Collaboration Workshop, ISIC ...

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9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of machine Intelligence in Medical Image computing, iMIMIC 2024, Embodied AI and Robotics for HealTHcare Workshop, EARTH 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated learning, DeCaF 2024 held at 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031776090

The proceedings contain 23 papers. The special focus in this conference is on Skin Imaging Collaboration, Interpretability of machine Intelligence in Medical Image computing, Embodied AI and Robotics for HealTHcare Workshop and MICCAI Workshop on Distributed, Collaborative and Federated learning. The topics include: DeCaF 2024 Preface;i2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis;from Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis;segmentation Style Discovery: Application to Skin Lesion Images;a Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention;lesion Elevation Prediction from Skin Images Improves Diagnosis;DWARF: Disease-Weighted Network for Attention Map Refinement;PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans;Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data;interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis;TextCAVs: Debugging Vision Models Using Text;evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging;Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI;EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting;VISAGE: Video Synthesis Using Action Graphs for Surgery;a Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery;SurgTrack: CAD-Free 3D Tracking of Real-World Surgical Instruments;MUTUAL: Towards Holistic Sensing and Inference in the Operating Room;Complex-Valued Federated learning with Differential Privacy and MRI Applications;enhancing Privacy in Federated learning: Secure Aggregation for Real-World Healthcare Applications;federated Impression for learning with Distributed Heterogeneous Data;A Federated learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation;probing the Effic

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7th international Workshop on machine learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2024

7th International Workshop on Machine Learning in Clinical N...

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7th international Workshop on machine learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031787607

The proceedings contain 16 papers. The special focus in this conference is on machine learning in Clinical Neuroimaging. The topics include: Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive learning;hyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks;SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis;a Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children;SOE: SO(3)-Equivariant 3D MRI Encoding;towards a Foundation Model for Cortical Folding;a Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia;DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation;segmenting Small Stroke Lesions with Novel Labeling Strategies;a Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis;Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer’s disease and related dementias;Self-supervised Pre-training Tasks for an fMRI Time-Series Transformer in Autism Detection;is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing;GAMing the Brain: Investigating the Cross-Modal Relationships Between Functional Connectivity and Structural Features Using Generalized Additive Models.

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15th international Workshop on machine learning in Medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

15th International Workshop on Machine Learning in Medical I...

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15th international Workshop on machine learning in Medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031732836

The proceedings contain 63 papers. The special focus in this conference is on machine learning in Medical Imaging. The topics include: IRUM: An Image Representation and Unified learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images;Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI;DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography;mitral Regurgitation Recogniton Based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification;Deep Reinforcement learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images;Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images;CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression;vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis;corticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction;CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation learning;atherosclerotic Plaque Stability Prediction from Longitudinal Ultrasound Images;Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide Images;VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains;structural-Connectivity-Guided Functional Connectivity Representation for Multi-modal Brain Disease Classification;Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model;Low-to-High Frequency Progressive K-Space learning for MRI Reconstruction;LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging;7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep learning;A Probabilistic Hadamard

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15th International Workshop on Machine Learning in Medical I...

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ISBN: (纸本)9783031732928

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3rd international conference on machine learning, Cloud computing and Intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

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3rd international conference on machine learning, Cloud computing and Intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819616978

The proceedings contain 27 papers. The special focus in this conference is on machine learning, Cloud computing and Intelligent Mining. The topics include: Decentralized Optimal Tracking Control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative learning Control for Nonlinear Switched Continuous-Time Systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP Control for 2-D Continuous-Discrete Systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization Control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection Control;state Estimation and Control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus Control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation Control in Multi-agent Systems with Disturbance Rejection Using RISE Controller;model Predictive Control for Contour Control in Biaxial System.

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3rd international conference on machine learning, Cloud computing and Intelligent Mining, MLCCIM 2024