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检索条件"任意字段=11th International Conference on Intelligent Data Engineering and Automated Learning"
7123 条 记 录,以下是51-60 订阅
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Enhancing Railway Obstacle Detection System Based on Incremental learning  11
Enhancing Railway Obstacle Detection System Based on Increme...
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11th international conference on Vehicle Technology and intelligent Transport Systems, VEHITS 2025
作者: Guo, Qiushi Cao, Bin Hao, Dehao Wang, Cheng Chen, Lijun Yan, Peng China
Obstacle detection systems face challenges related to the Catastrophic forgetting problem, where old obstacles may be misclassified when training new unseen obstacles. Re-training a model from scratch for every new ob... 详细信息
来源: 评论
Noise Tolerance and Robustness Ranking in Machine learning Models  25th
Noise Tolerance and Robustness Ranking in Machine Learning M...
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25th international conference on intelligent data engineering and automated learning
作者: Padro-Ferragut, Cristina Ramirez-Quintana, Maria Jose Martinez-Plumed, Fernando Univ Politecn Valencia Valencia Spain
Machine learning models often excel in controlled environments but may struggle with noisy, incomplete, or shifted real-world data. Ensuring that these models maintain high performance despite these imperfections is c... 详细信息
来源: 评论
data Analysis and Anomaly Detection in a Wind Farm with k-Nearest Neighbors  25th
Data Analysis and Anomaly Detection in a Wind Farm with k-Ne...
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25th international conference on intelligent data engineering and automated learning
作者: Weiss, Bassel Esteban, Segundo Santos, Matilde Univ Complutense Madrid Dpto Arquitectura Computadores Automat Madrid 28040 Spain UCM Inst Knowledge Technol Madrid 28040 Spain
this paper presents an in-depth analysis of data from the Alpha Ventus offshore wind farm, emphasizing the identification and detection of anomalies in wind turbine performance. Utilizing real-world data from the RAVE... 详细信息
来源: 评论
MetaLIRS: Meta-learning for Imputation and Regression Selection  25th
MetaLIRS: Meta-learning for Imputation and Regression Select...
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25th international conference on intelligent data engineering and automated learning
作者: Erez, Ill Baysal Flokstra, Jan Pod, Mannes van Keulen, Maurice Univ Twente EEMCS NL-7500 AE Enschede Netherlands
Missing data is a prevalent problem in data science for many fields such as natural, social, and health sciences. Since most regression methods can not handle missing data directly, imputation methods are used in data... 详细信息
来源: 评论
Predicting Employee Attrition in a Multi-company Setting  25th
Predicting Employee Attrition in a Multi-company Setting
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25th international conference on intelligent data engineering and automated learning
作者: Gomes, Adriano Silva, Luis M. Cruz, Joao Pedro Univ Aveiro Dept Econ Management Ind Engn & Tourism P-3810193 Aveiro Portugal Univ Aveiro Ctr Res & Dev Math & Applicat CIDMA Dept Math P-3810193 Aveiro Portugal
this paper describes the creation of a database and a machine learning model to predict employee attrition. Our proposal deals with attrition by considering 3 classes (voluntary, involuntary and no attritors) giving a... 详细信息
来源: 评论
A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in Middle Education  25th
A Comprehensive Digital Solution for Identifying and Address...
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25th international conference on intelligent data engineering and automated learning
作者: Magalhaes, Renata Duraes, Dalila Costa, Antonio Machado, Jose Novais, Paulo Univ Minho Algoritmi Ctr LASI Braga Portugal
Smart schooling seeks to enhance the educational experience through technology. In this effort, a digital educational platform has been developed and empirically tested to identify students at risk of academic failure... 详细信息
来源: 评论
Assessing the Impact of Temporal data Aggregation on the Reliability of Predictive Machine learning Models  25th
Assessing the Impact of Temporal Data Aggregation on the Rel...
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25th international conference on intelligent data engineering and automated learning
作者: Barhrhouj, Ayah Ananou, Bouchra Ouladsine, Mustapha Aix Marseille Univ Univ Toulon CNRS LIS UMR 7020 Marseille France
In time series analysis, data aggregation is an essential preprocessing step that consolidates data points over specified time intervals, simplifying the data structure and reducing noise. this process is vital for en... 详细信息
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Federated learning with Discriminative Naive Bayes Classifier  25th
Federated Learning with Discriminative Naive Bayes Classifie...
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25th international conference on intelligent data engineering and automated learning
作者: Torrijos, Pablo Alfaro, Juan C. Gamez, Jose A. Puerta, Jose M. Univ Castilla La Mancha Inst Invest Informat Albacete Albacete 02071 Spain Univ Castilla La Mancha Dept Sistemas Informaticos Albacete 02071 Spain
Federated learning has emerged as a promising approach to train machine learning models on decentralized data sources while preserving data privacy. this paper proposes a new federated approach for Naive Bayes (NB) cl... 详细信息
来源: 评论
Drowsiness Detection Using Vital Sign Sensors and Deep learning on Smartwatches  25th
Drowsiness Detection Using Vital Sign Sensors and Deep Learn...
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25th international conference on intelligent data engineering and automated learning
作者: da Rosa Pereira, Vitor Augusto Berri, Rafael Alceste Osorio, Fernando Santos Univ Sao Paulo BR-13566590 Sao Carlos Brazil Fed Univ Rio Grande BR-96203900 Rio Grande RS Brazil
Drowsy drivers contribute to high rates of road accidents, leading to numerous fatalities and injuries. the dangers of drowsiness extend beyond the roads, affecting workplaces that require continuous attention and foc... 详细信息
来源: 评论
Using data Augmentation for Improving Text Summarization  25th
Using Data Augmentation for Improving Text Summarization
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25th international conference on intelligent data engineering and automated learning
作者: Constantin, Daniel Mihaescu, Marian Cristian Heras, Stella Jordan, Jaume Palanca, Javier Julian, Vicente Univ Craiova Craiova Romania VRAIN Univ Politecn Valencia Valencian Res Inst Artificial Intelligence Valencia Spain
In today's society, the amount of information we need to process daily from sources such as news, videos, and literature is relatively high. the primary strategy to decrease the workload is to use effective summar... 详细信息
来源: 评论