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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31-40 订阅
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Interpretable Grade Prediction Based on ECOC and Shapley Theory  24
Interpretable Grade Prediction Based on ECOC and Shapley The...
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8th international conference on Electronic Information Technology and Computer Engineering, EITCE 2024
作者: Yang, Dapeng Cao, Longhan Pan, Lifang Xie, Shutong School of Computer Engineering Jimei University Fujian Xiamen China School of Science Jimei University Fujian Xiamen China
In recent years, blended learning models combining online and offline instructional methods have been widely implemented in higher education institutions. Online learning platforms accumulate a large number of fine-gr... 详细信息
来源: 评论
Feature Selection Based on Membrane Clustering  7th
Feature Selection Based on Membrane Clustering
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7th international conference on Optimization and learning
作者: Sheuly, Sharmin Sultana Deivard, Johannes Seceleanu, Tiberiu Xiong, Ning Malardalen Univ Vasteras Sweden Dev Solut AB Eskilstuna Sweden
Given increased complex data with high dimensions, feature selection aims to select a subset of features to increase the efficiency of machine learning. This paper proposes a new feature selection method based on memb... 详细信息
来源: 评论
Sentiment Analysis on 2024 Regional Elections using Hybrid CNN-SVM with Semantic Features and Word2Vec
Sentiment Analysis on 2024 Regional Elections using Hybrid C...
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2025 international conference on Advancement in data science, E-learning and Information System, ICADEIS 2025
作者: Andinny, Syahbilla Putri Setiawan, Erwin Budi School of Computing Telkom University Bandung Indonesia
Regional Head Election is a political agenda held every five years. Everyone has their point of view on assessing the candidates. These political conversations often appear on platform X, a social media to exchange in... 详细信息
来源: 评论
Joint UAV Trajectory Optimization and Task Offloading in Integrated Air-Ground Networks  7th
Joint UAV Trajectory Optimization and Task Offloading in Int...
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8th Asia Pacific Web and Web-Age Information Management Joint international conference on Web and Big data
作者: Zhang, Yuanwei Shuai, Jiaqi Wen, Weichang Cui, Haixia South China Normal Univ Sch Elect & Informat Engn Foshan 528200 Peoples R China
As an essential component of the integrated air-ground-space networks, the unmanned aerial vehicle (UAV) is indispensable for the mobile edge computing (MEC) processing. In this paper, considering the highly dynamic n... 详细信息
来源: 评论
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
Physics-Informed Latent Diffusion for Multimodal Brain MRI ...
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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: Lüpke, Sven Yeganeh, Yousef Adeli, Ehsan Navab, Nassir Farshad, Azade Technical University of Munich Munich Germany Munich Center for Machine Learning Munich Germany Stanford University Stanford United States
Recent advances in generative models for medical imaging have shown promise in representing multiple modalities. However, the variability in modality availability across datasets limits the general applicability of th... 详细信息
来源: 评论
Context-Aware Selection of machine learning as a Service (MLaaS) in IoT Environments
Context-Aware Selection of Machine Learning as a Service ...
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PhD Symposium, Posters, Demos, and A Web for more inclusive, sustainable and prosperous societies, WEB-for-GOOD 2024 and 1st international Workshop on AI and Web data Analytics, AIWDA 2024 form the 25th international conference on Web Information Systems Engineering, WISE 2024
作者: Patel, Keya Mistry, Sajib Kanneganti, Deepak Krishna, Aneesh School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Australia
The integration of machine learning as a Service (MLaaS) into the Internet of Things (IoT) environments presents considerable opportunities for enhancing decision-making and automation. We propose a novel framework fo... 详细信息
来源: 评论
Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series
Back to the Future: Challenges of Sparse and Irregular M...
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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: Disch, Nico Albert Peretzke, Robin Roy, Saikat Ulrich, Constantin Zimmerer, David Stiefelhagen, Rainer Kleesiek, Jens Maier-Hein, Klaus Division of Medical Image Computing German Cancer Research Center Heidelberg Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Faculty of Mathematics and Computer Science University of Heidelberg Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Karlsruhe Institute of Technology Karlsruhe Germany University Hospital Essen Essen Germany University Hospital Essen West German Cancer Center Essen Essen Germany Medical Faculty Heidelberg University of Heidelberg Heidelberg Germany
In longitudinal medical image analysis, most work focuses on regularly sampled images, or on tasks like regression or classification. However, in the clinical context, images are frequently generated irregularly due t... 详细信息
来源: 评论
Towards Adaptive Asynchronous Federated learning for Human Activity Recognition  24
Towards Adaptive Asynchronous Federated Learning for Human A...
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14th international conference on the Internet of Things, IoT 2024
作者: Gajanin, Rastko Danilenka, Anastasiya Morichetta, Andrea Nastic, Stefan Distributed Systems Group TU Wien Vienna Austria Faculty of Mathematics and Information Science Warsaw University of Technology Warsaw Poland
In this work, we tackle the problem of performing multi-label classification in the case of extremely heterogeneous data and with decentralized machine learning. Solving this issue is very important in IoT scenarios, ... 详细信息
来源: 评论
Identifying and Managing Concept Drift in machine learning Through Page-Hinkley Test: Approaches, Obstacles, and Resolutions  12th
Identifying and Managing Concept Drift in Machine Learning T...
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12th international conference on Recent Trends in computing, ICRTC 2024
作者: Francis, Navya Ali, Anooja School of Computer Science and Engineering REVA University Bangalore India Department of Computer Science Kristu Jayanti College Bangalore India
Concept drift presents a formidable hurdle in the implementation of machine learning models in practical scenarios, owing to the potential changes in underlying data distributions over time. The timely detection and e... 详细信息
来源: 评论
machine learning for Waste-to-Energy: Optimization and Predictive Analytics  4th
Machine Learning for Waste-to-Energy: Optimization and Predi...
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4th international conference on Advanced Network Technologies and Intelligent computing-ANTIC-Annual
作者: Rana, Sanskar Thakur, Narender Singh Jyoti, Divya Mahato, Dharamender Prasad Natl Inst Technol Hamirpur Hamirpur 177005 Himachal Prades India
The burgeoning demand for sustainable energy sources has catalyzed interest in Waste-to-Energy solutions offering both environmental benefits and energy generation potential. This paper explores the integration of mac... 详细信息
来源: 评论