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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13410 条 记 录,以下是121-130 订阅
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Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement learning  22nd
Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-atte...
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22nd international conference on Service Oriented computing
作者: Shen, Ya Chen, Gang Ma, Hui Zhang, Mengjie Victoria Univ Wellington Ctr Data Sci & Artificial Intelligence Wellington New Zealand Victoria Univ Wellington Sch Engn & Comp Sci Wellington New Zealand
As a key cloud management problem, Cost-aware Dynamic Multi-Workflow Scheduling (CDMWS) aims to assign virtual machine (VM) instances to execute tasks in workflows so as to minimize the total costs, including both the... 详细信息
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Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised learning
Predicting Stroke Through Retinal Graphs and Multimodal Sel...
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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Huang, Yuqing Wittmann, Bastian Demler, Olga Menze, Bjoern Davoudi, Neda Department of Computer Science ETH Zürich Zürich Switzerland ETH AI Center ETH Zürich Zürich Switzerland Department of Quantitative Biomedicine University of Zurich Zürich Switzerland Harvard Medical School BostonMA United States
Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to capture a comprehensive overview of ca... 详细信息
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The Research on V2V Cooperative Caching Method Based on Vehicle Attributes  24
The Research on V2V Cooperative Caching Method Based on Vehi...
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2024 international conference on Artificial Intelligence of Things and computing, AITC 2024
作者: Wang, Zirui Wang, Hui Wan, Jianxiong Liu, Chuyi Sun, Pengfei Li, Leixiao School of Data Science and Application Inner Mongolia University of Technology Inner Mongolia Autonomous Region Hohhot China Inner Mongolia Key Laboratory of Beijiang Cyberspace Security Inner Mongolia Autonomous Region Hohhot China Research Center of Large-Scale Energy Storage Technologies Ministry of Education of the People's Republic of China Inner Mongolia Autonomous Region Hohhot China
To address the increasingly severe issue of insufficient vehicular caching in the Internet of Vehicles (IoV), Vehicular edge computing uses base stations (BS) and vehicles with computing and storage capabilities as ed... 详细信息
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Diagnosis of Autism Spectrum Disorders Based on fMRI  24
Diagnosis of Autism Spectrum Disorders Based on fMRI
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13th international conference on computing and Pattern Recognition, ICCPR 2024
作者: Zhao, Xiaoxue Wu, Peng School of Information Science and Engineering University of Jinan Jinan China
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and repetitive behaviors, with its exact etiology remaining unclear. Early and accurate diagnosis i... 详细信息
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Classification of Sarcoma Based on Genomic data Using machine learning Models  4
Classification of Sarcoma Based on Genomic Data Using Machin...
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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024
作者: Gala, Pratham Pandloskar, Yash Godbole, Shubham Hakim, Fayed Kanani, Pratik Kurup, Lakshmi Dwarkadas J. Sanghvi College of Engineering Mumbai India Dept. of Artificial Intelligence and Data Science Dwarkadas J. Sanghvi College of Engineering Mumbai India
The proposed work provides a new machine-learnt classification approach for the various types of soft tissue sarcoma based on genomics data which addresses a considerable gap in sarcoma diagnostics. The previous studi... 详细信息
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19th international conference on Hybrid Artificial Intelligence Systems, HAIS 2024
19th International Conference on Hybrid Artificial Intellige...
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19th international conference on Hybrid Artificial Intelligence Systems, HAIS 2024
The proceedings contain 52 papers. The special focus in this conference is on Hybrid Artificial Intelligence Systems. The topics include: The Third Codon Nucleotide’s Role in Genetic Recombination Within SARS-Co...
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19th international conference on Hybrid Artificial Intelligence Systems, HAIS 2024
19th International Conference on Hybrid Artificial Intellige...
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19th international conference on Hybrid Artificial Intelligence Systems, HAIS 2024
The proceedings contain 52 papers. The special focus in this conference is on Hybrid Artificial Intelligence Systems. The topics include: The Third Codon Nucleotide’s Role in Genetic Recombination Within SARS-Co...
来源: 评论
Decision Systems in Cybersecurity: A machine learning Perspective  12th
Decision Systems in Cybersecurity: A Machine Learning Perspe...
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12th international conference on Frontiers of Intelligent computing: Theory and Applications, FICTA 2024
作者: Dhablia, Anishkumar Ganesh, R. Senthil Rizvi, Nuzhat Arora, Himanshu Borade, Monali Ravindra Bhujbal, Pallavi Altimetrik India Pvt. Ltd Maharashtra Pune India Department of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Tamilnadu Coimbatore India Nagpur Campus Pune India Computer Science and Engineering Arya College of Engineering Jaipur India Artificial Intelligence and Data Science VIIT Pune India Department of Information Technology School of Computing MIT ADT University Loni Kalbhor Pune India
The evolving digital environment requires sophisticated decision systems to protect important information assets from the growing complexity and variety of cyber threats. This review paper examines the impact of machi... 详细信息
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Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
Language Models Meet Anomaly Detection for Better Interpret...
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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Li, Jun Kim, Su Hwan Müller, Philip Felsner, Lina Rueckert, Daniel Wiestler, Benedikt Schnabel, Julia A. Bercea, Cosmin I. Technical University of Munich Munich Germany Munich Center for Machine Learning Munich Germany Helmholtz AI and Helmholtz Munich Munich Germany Klinikum Rechts der Isar Munich Germany Imperial College London London United Kingdom Kings’s College London London United Kingdom
This research explores the integration of language models and unsupervised anomaly detection in medical imaging, addressing two key questions: (1) Can language models enhance the interpretability of anomaly detection ... 详细信息
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Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
Longitudinal Segmentation of MS Lesions via Temporal Diffe...
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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Rokuss, Maximilian R. Kirchhoff, Yannick Roy, Saikat Kovacs, Balint Ulrich, Constantin Wald, Tassilo Zenk, Maximilian Denner, Stefan Isensee, Fabian Vollmuth, Philipp Kleesiek, Jens Maier-Hein, Klaus Division of Medical Image Computing Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Medical Faculty Heidelberg Heidelberg University Heidelberg Germany Helmholtz Imaging German Cancer Research Center Heidelberg Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Neuroimaging Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany University Hospital Essen Essen Germany University Hospital Essen West German Cancer Center Essen Essen Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessi... 详细信息
来源: 评论