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检索条件"任意字段=25th International Conference on Intelligent Data Engineering and Automated Learning"
3597 条 记 录,以下是31-40 订阅
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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
来源: 评论
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
来源: 评论
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
来源: 评论
An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes  25th
An Ontology-Lexicon-Driven Approach for Refining Sentiment A...
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25th international conference on intelligent data engineering and automated learning
作者: Toldy, Francisco Belo, Orlando Univ Minho ALGORITMI Res Ctr LASI P-4710059 Braga Portugal
the high number of sentiment analysis systems and applications developed over the last few years provided companies with very sophisticated analysis tools, allowing them to establish preferences, trends and patterns o... 详细信息
来源: 评论
Structural and Semantic data Layers in Time Series Analyses  25th
Structural and Semantic Data Layers in Time Series Analyses
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25th international conference on intelligent data engineering and automated learning
作者: Grass, Alexander Beecks, Christian Decker, Stefan Fraunhofer Inst Appl Informat Technol FIT St Augustin Germany Rhein Westfal TH Aachen Aachen Germany Univ Hagen Hagen Germany
Understanding the inherent complexity of temporal data is crucial for effective time series analytics. One dimension of complexity is the level of structural depth at which analysis methods operate. these levels range... 详细信息
来源: 评论
Smart Sign Language Decoder  25th
Smart Sign Language Decoder
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25th international conference on intelligent data engineering and automated learning
作者: Costescu, Constantin Marius Popescu, Paul Stefan Mihaescu, Marian Cristian Univ Craiova Fac Automat Comp Sci & Elect Craiova Romania
Sign language recognition and understanding are challenging tasks for many people who are not familiar with it, which limits communication between deaf-mute people and others. the system presented in this paper lowers... 详细信息
来源: 评论
A Deep-learning Approach for the Identification of New Subtypes of Lung Cancer  25th
A Deep-Learning Approach for the Identification of New Subty...
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25th international conference on intelligent data engineering and automated learning
作者: Banerjee, Tuhin Corradini, Andrea Canon EMEA Amstelveen Netherlands MCI Innsbruck Austria
Lung cancer is the deadliest cancer in the world. It is caused by unchecked cell division of damaged cells in the lungs forming tumors that eventually prevent the lung from functioning properly. Identification of nove... 详细信息
来源: 评论
Preliminary Investigation on Machine learning and Deep learning Models for Change of Direction Classification in Running  25th
Preliminary Investigation on Machine Learning and Deep Learn...
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25th international conference on intelligent data engineering and automated learning
作者: Jaiswal, Pranay Kaushik, Abhishek Lawless, Fiona Malaquias, Tiago McCaffery, Fergal Dundalk Inst Technol Dundalk Ireland STATSports Newry North Ireland
the ability to detect, define, and classify Change of Direction (COD) movements during running plays a crucial role in sports science, as it has been widely used to assess athlete performance. Automating the process o... 详细信息
来源: 评论
Model-Based Meta-reinforcement learning for Hyperparameter Optimization  25th
Model-Based Meta-reinforcement Learning for Hyperparameter O...
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25th international conference on intelligent data engineering and automated learning
作者: Albrechts, Jeroen Martin, Hugo M. Tavakol, Maryam Eindhoven Univ Technol Eindhoven Netherlands
Hyperparameter Optimization (HPO) plays a significant role in enhancing the performance of machine learning models. However, as the size and complexity of (deep) neural architectures continue to increase, conducting H... 详细信息
来源: 评论
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
来源: 评论