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检索条件"任意字段=23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022"
102 条 记 录,以下是31-40 订阅
排序:
Topological Analysis of Credit data: Preliminary Findings  23rd
Topological Analysis of Credit Data: Preliminary Findings
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23rd international conference on intelligent data engineering and automated learning (ideal)
作者: Cooper, James Mitic, Peter Reinert, Gesine Temcinas, Tadas Santander US Boston MA 02109 USA UCL Dept Comp Sci London England Santander UK London England Univ Oxford Dept Stat Oxford England
Intuitively, similar customers should have similar credit risk. Capturing this similarity is often attempted using Euclidean distances between customer features and predicting credit default via logistic regression. H... 详细信息
来源: 评论
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis  23rd
Federating Unlabeled Samples: A Semi-supervised Collaborativ...
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23rd international conference on intelligent data engineering and automated learning (ideal)
作者: Launet, Laetitia del Amor, Rocio Colomer, Adrian Mosquera-Zamudio, Andres Moscardo, Anais Monteagudo, Carlos Zhao, Zhiming Naranjo, Valery Univ Politecn Valencia I3B Valencia Spain Univ Valencia Hosp Clin Univ Valencia Dept Pathol Valencia Spain Univ Amsterdam Multiscale Networked Syst Amsterdam Netherlands
Over the last decades, deep learning-based algorithms have witnessed tremendous progress in the medical field to assist pathologists in clinical decisions and reduce their workload. For these models to reach their ful... 详细信息
来源: 评论
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting  23rd
A Sequence to Sequence Long Short-Term Memory Network for Fo...
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23rd international conference on intelligent data engineering and automated learning (ideal)
作者: Santos, Luis Matos, Luis Miguel Ferreira, Luis Alves, Pedro Viana, Mario Pilastri, Andre Cortez, Paulo CCG ZGDV Inst EPMQ Guimaraes Portugal KYAIA SOLUCOES INFORMAT LDA Guimaraes Portugal OVERCUBE SA Guimaraes Portugal Univ Minho Dept Informat Syst LASI ALGORITMI Res Centre Guimaraes Portugal
Footwear sales forecasting is a critical task for supporting product managerial decisions, such as the management of footwear stocks and production levels. In this paper, we explore a recently proposed Sequence to Seq... 详细信息
来源: 评论
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active learning  23
Accelerating the Training of Convolutional Neural Networks f...
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23rd IEEE international conference on intelligent Transportation Systems (ITSC)
作者: Chen, Weitao Salay, Rick Sedwards, Sean Abdelzad, Vahdat Czarnecki, Krzysztof Univ Waterloo Waterloo ON Canada
Semantic segmentation is an important perception function for automated driving (AD), but training a deep neural network for the task using supervised learning requires expensive manual labelling. Active learning (AL)... 详细信息
来源: 评论
Machine-learning Models for Software Quality: a Compromise Between Performance and Intelligibility
Machine-Learning Models for Software Quality: a Compromise B...
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23rd IEEE international conference on Tools with Artificial Intelligence (ICTAI)
作者: Lounis, Hakim Gayed, Tamer Fares Boukadoum, Mounir Univ Quebec Dept Informat UQAM Montreal PQ H3C 3P8 Canada
Building powerful machine-learning assessment models is an important achievement of empirical software engineering research, but it is not the only one. Intelligibility of such models is also needed, especially, in a ... 详细信息
来源: 评论
Multi-Scale Deep Ensemble learning for Melanoma Skin Cancer Detection  23
Multi-Scale Deep Ensemble Learning for Melanoma Skin Cancer ...
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23rd IEEE international conference on Information Reuse and Integration for data Science (IEEE IRI)
作者: Guergueb, Takfarines Akhloufi, Moulay A. Univ Moncton Dept Comp Sci Percept Robot & Intelligent Machines Res Grp PRIM Moncton NB Canada
Skin cancer is the most prevalent type of cancer in the world. Melanoma, specifically is among the deadliest variants of cancer, But if detected early, most melanomas can be cured with minor surgery. In this study we ... 详细信息
来源: 评论
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring  23rd
Synonym-Based Essay Generation and Augmentation for Robust A...
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23rd international conference on intelligent data engineering and automated learning (ideal)
作者: Tashu, Tsegaye Misikir Horvath, Tomas Eotvos Lorand Univ Fac Informat Dept Data Sci & Engn Telekom Innovat Labs Pazmany Peter Setany 1-C H-1117 Budapest Hungary Wollo Univ Kombolcha Inst Technol Coll Informat Kombolcha 208 Ethiopia Pavol Jozef Safarik Univ Fac Sci Inst Comp Sci Jesenna 5 Kosice 04001 Slovakia
Automatic essay scoring (AES) models based on neural networks (NN) have had a lot of success. However, research has shown that NN-based AES models have robustness issues, such that the output of a model changes easily... 详细信息
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Deep learning Transforming the Manufacturing Industry: A Case Study  23
Deep Learning Transforming the Manufacturing Industry: A Cas...
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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Ahmad, Hafiz Mughees Rahimi, Afshin Hayat, Khizer University of Windsor Mechanical Automotive and Materials Engineering WindsorON Canada Ifiveo Canada INC. WindsorON Canada
The traditional manufacturing industry uses decades-old technology and manual processes that are expensive, laborious, redundant, and a slight human error can cost millions of dollars. With the industrial revolution 4... 详细信息
来源: 评论
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference  23rd
Performance/Resources Comparison of Hardware Implementations...
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23rd international conference on intelligent data engineering and automated learning (ideal)
作者: Lozada, Randy Ruiz, Jorge Gonzalez, Manuel L. Sedano, Javier Villar, Jose R. Garcia-Vico, Angel M. Skibinsky-Gitlin, E. S. Inst Tecnol Castilla & Leon Burgos Spain Univ Oviedo Oviedo Spain Univ Granada Andalusian Res Inst Data Sci & Computat Intellige Granada 18071 Spain
Fully Connected Network inference is a complex algorithm that can be accelerated using edge devices like Field Programmable Gate Array (FPGA). One commonly known performance improvement for Fully Connected Network inf... 详细信息
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The Black-Box Syndrome: Embracing Randomness in Machine learning Models  23rd
The Black-Box Syndrome: Embracing Randomness in Machine Lear...
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23rd international conference on Artificial Intelligence in Education (AIED)
作者: Anthis, Z. UCL Gower St London WC1 6BT England
Acknowledging the 'curse' of dimensionality, the educational sector has reasonably turned to automated (in some cases autonomous) solutions, in the process of extracting and communicating patterns in data, to ... 详细信息
来源: 评论