Results 81 to 90 of about 16,362,739 (323)
Automatic Classification of Variable Stars in Catalogs with missing data
, 2013 We present an automatic classification method for astronomical catalogs with missing data. We use Bayesian networks, a probabilistic graphical model, that allows us to perform inference to pre- dict missing values given observed data and dependency ...
Pichara, Karim, Protopapas, Pavlos
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
A Survey on Multivariate Time Series Imputation Using Adversarial Learning
IEEE AccessMultivariate time series (MTS) are captured in a great variety of real-world applications. However, analysing and modeling the data for classification and forecasting purposes can become very challenging if values are missing in the data set.
Anna Richter +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
An RNN-Based Delay-Guaranteed Monitoring Framework in Underwater Wireless Sensor Networks
IEEE Access, 2019 Real-time underwater monitoring has been widely applied in many applications of underwater wireless sensor networks (UWSNs). Due to the long acoustic communication delays, the real-time data collection in UWSNs is challenging.
Xiaohui Wei +4 more
doaj +1 more source
Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation
Energies, 2020 As the penetration of electric vehicles (EVs) accelerates according to eco-friendly policies, the impact of electric vehicle charging demand on a power distribution network is becoming significant for reliable power system operation.
Byungsung Lee, Haesung Lee, Hyun Ahn
doaj +1 more source
Algorithms and literate programs for weighted low-rank approximation with missing data
, 2011 Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
B Moor De +12 more
core +1 more source
MYCN Amplification in RB1‐Inactivated Retinoblastoma: Association With High‐Risk Features
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background MYCN amplification occurs in a subset of retinoblastoma cases, both with and without RB1 inactivation. It has been suggested that retinoblastomas with MYCN amplification represent a distinct entity with more aggressive clinical behavior.
Kyriaki Papaioannou +9 more
wiley +1 more source
The effect of missing values using genetic programming on evolvable diagnosis [PDF]
, 2002 Medical databases usually contain missing values due the policy of reducing stress and harm to the patient. In practice missing values has been a problem mainly due to the necessity to evaluate mathematical equations obtained by genetic programming ...
Kalganova, T, Werner, JC
core
Scalable Tensor Factorizations for Incomplete Data
, 2010 The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, communication
Acar +35 more
core +1 more source