Results 11 to 20 of about 1,095,657 (311)

A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data

Frontiers in Neuroinformatics, 2022
Multimodality neuroimages have been widely applied to diagnose mild cognitive impairment (MCI). However, the missing data problem is unavoidable. Most previously developed methods first train a generative adversarial network (GAN) to synthesize missing ...
Leiming Jin, Kun Zhao, Yan Zhao, Tongtong Che, Shuyu Li, Shuyu Li   +5 more
doaj   +1 more source

Hard and Soft EM in Bayesian Network Learning from Incomplete Data

Algorithms, 2020
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations.
Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari   +3 more
doaj   +1 more source

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

Vietnam Journal of Computer Science, 2023
In intelligent information systems data play a critical role. The issue of missing data is one of the commonplace problems occurring in data collected in the real world. The problem stems directly from the very nature of data collection.
Mateusz Szczepański, Marek Pawlicki, Rafał Kozik, Michał Choraś   +3 more
doaj   +1 more source

Enhanced PSSV for Incomplete Data Analysis

IEEE Access, 2020
Partial Sum Minimization of Singular Values (PSSV) is a powerful tool for image denoising, matrix completion and recovering underlying low-rank structure from the corrupted data via Partial Sum Minimization of Singular Values. However, the performance of
Weimin Hou, Qin Li
doaj   +1 more source

Ensemble-based Top-k Recommender System Considering Incomplete Data [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user ...
M. Moradi, J. Hamidzadeh
doaj   +1 more source

Development of models and assessment of the world walnut variety fund by fruit quality

Новые технологии, 2023
Walnut (Juglans regia L.) is a particularly significant plant for humans in terms of its useful properties and in the Russian Federation it can be attributed to the most valuable introducers for forestry and horticulture. It is grown in many countries of
S. G. Biganova, Yu. I. Sukhorukikh, A. P. Glinushkin, E. K. Pchikhachev   +3 more
doaj   +1 more source

Missing.... presumed at random: cost-analysis of incomplete data [PDF]

, 2002
When collecting patient-level resource use data for statistical analysis, for some patients and in some categories of resource use, the required count will not be observed. Although this problem must arise in most reported economic evaluations containing
Clark, T, Andrew Briggs, Philip Clarke, Briggs, AH, Clark, PM, Wolstenholme, J., Briggs, A., Wolstenholme, Jane, Clarke, P., Wolstenholme, J, Briggs, Andrew, Clark, Taane, Clark, T., Jane Wolstenholme, Taane Clark, Clarke, Philip   +15 more
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Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

Journal of Mechanical Engineering, 2021
This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors.
Boulanouar Saadat, Ahmed Hafaifa, Rachid Belhadef, Abdellah Kouzou   +3 more
doaj   +1 more source

Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks

Sensors, 2018
In wireless sensor networks, the classification of incomplete data reported by sensor nodes is an open issue because it is difficult to accurately estimate the missing values.
Yang Zhang, Yun Liu, Han-Chieh Chao, Zhenjiang Zhang, Zhiyuan Zhang   +4 more
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04131 Abstracts Collection – Geometric Properties from Incomplete Data [PDF]

, 2006
From 21.03.04 to 26.03.04, the Dagstuhl Seminar 04131 ``Geometric Properties from Incomplete Data'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Weickert, Joachim, Kozera, Ryszard, Noakes, Lyle, Klette, Reinhard   +3 more
core   +1 more source