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检索条件"任意字段=11th International Conference on Intelligent Data Engineering and Automated Learning"
7120 条 记 录,以下是31-40 订阅
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Multilayered Asynchronous Consensus-Based Federated learning (MACoFL)  25th
Multilayered Asynchronous Consensus-Based Federated Learning...
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25th international conference on intelligent data engineering and automated learning
作者: Rebollo, Miguel Carrascosa, Carlos Univ Politec Val encia Valencian Res Inst Artificial Intelligence VRAIN Valencia Spain
Federated learning is one of the main research lines in the last years about distributed learning, where participating nodes share their models but maintain the privacy of the data used to learn such models. Consensus... 详细信息
来源: 评论
11th IFIP WG 2.2 international conference on Fundamentals of Software engineering, FSEN 2025
11th IFIP WG 2.2 International Conference on Fundamentals of...
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11th IFIP WG 2.2 international conference on Fundamentals of Software engineering, FSEN 2025
the proceedings contain 12 papers. the special focus in this conference is on Fundamentals of Software engineering. the topics include: automated Test Generation: Taxonomy and Tool Applications;finding Universally Qua...
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Quantitative Estimation of Reputation Risk  25th
Quantitative Estimation of Reputation Risk
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25th international conference on intelligent data engineering and automated learning
作者: Mitic, Peter UCL Dept Comp Sci Gower St London WC1E 6BT England
We present a quantitative definition of reputation risk, formulated in terms of a reputation time series comprising daily sentiment measurements. Self Supported learning is used to quantify reputation risk by progress... 详细信息
来源: 评论
Pipeline for Semantic Segmentation of Large Railway Point Clouds  25th
Pipeline for Semantic Segmentation of Large Railway Point Cl...
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25th international conference on intelligent data engineering and automated learning
作者: Gabrielidis, Hugo Gatti, Filippo Vialle, Stephane Univ Paris Saclay LMPS Lab Mecan Paris Saclay UMR 9026 CNRS Cent SupelecENS Paris Saclay F-91190 Gif Sur Yvette France Univ Paris Saclay LISN Lab Interdisciplinaire Sci Numer CNRS F-91405 Orsay France Cent Supelec F-91192 Gif Sur Yvette France
this paper presents a novel deep-learning pipeline to segment large railway datasets with minimal manual annotation, notoriously time consuming. the pipeline adapts DINOv2 [11] for labeling point clouds, with tailored... 详细信息
来源: 评论
What Students Should Learn and Teachers Must Know About Artificial Intelligence  25th
What Students Should Learn and Teachers Must Know About Arti...
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25th international conference on intelligent data engineering and automated learning
作者: Opel, Simone Linxen, Andrea Beecks, Christian Fern Univ Hagen D-58097 Hagen Germany
Systems based on artificial intelligence have become prominent in nearly all domains. However, knowledge of the inner workings of these intelligent systems is not as widespread, partly because the associated issues ha... 详细信息
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Performance Evaluation of Modern Object Detection Models for automated Fruit Recognition in Smart Agriculture  11
Performance Evaluation of Modern Object Detection Models for...
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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025
作者: Ahmad, Sarmad Bin Imran, Saad Asad, Usman Zeb, Ayesha National University of Sciences and Technology College of E&me Department of Mechatronics Engineering H-12 Islamabad Pakistan
An accurate and reliable image-based fruit detection system is essential for advancing agricultural tasks such as yield mapping and robotic harvesting. this paper benchmarks five state-of-the-art object detection fram... 详细信息
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Hotel's Price Prediction Based on Country Specific data  25th
Hotel's Price Prediction Based on Country Specific Data
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25th international conference on intelligent data engineering and automated learning
作者: Balan, Andrei Popescu, Paul Stefan Mihaescu, Marian Cristian Univ Craiova Craiova Romania
Online hotel booking became increasingly popular as time passed, and with its popularity, the data that can be collected based on customer actions has increased. this data can serve to build intelligent systems that c... 详细信息
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Padel Two-Dimensional Tracking Extraction from Monocular Video Recordings  25th
Padel Two-Dimensional Tracking Extraction from Monocular Vid...
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25th international conference on intelligent data engineering and automated learning
作者: Novillo, Alvaro Acena, Victor Lancho, Carmen Cuesta, Marina De Diego, Isaac Martin Rey Juan Carlos Univ Data Sci Lab C Tulipan S-N Mostoles 28933 Spain
this study introduces a novel framework for the automatic two-dimensional tracking of padel games using monocular recordings. By integrating advanced Computer Vision and Deep learning techniques, our algorithm detects... 详细信息
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Towards Reliable Drift Detection and Explanation in Text data  25th
Towards Reliable Drift Detection and Explanation in Text Dat...
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25th international conference on intelligent data engineering and automated learning
作者: Feldhans, Robert Hammer, Barbara Bielefeld Univ Bielefeld Germany
When delivered to the market, machine learning models face new data which are possibly subject to novel characteristics - a phenomenon known as concept drift. As this might lead to performance degradation, it is neces... 详细信息
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Comparative Study of Federated learning Algorithms Based on SPADE Agents  25th
Comparative Study of Federated Learning Algorithms Based on ...
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25th international conference on intelligent data engineering and automated learning
作者: Enguix, Francisco Peris, Saul Cerda Rincon, J. A. Carrascosa, C. Univ Politec Valencia UPV Valencian Res Inst Artificial Intelligence VRAIN Camino Vera S-N Valencia 46022 Spain Univ Burgos Dept Digitalizac Escuela Politec Super Ctra Oron 28 Burgos 09200 Spain
Federated learning (FL) is a prominent method in machine learning, that ensures privacy by enabling distributed devices to collaboratively learn a shared model without exchanging local data. this paper provides a comp... 详细信息
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