Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22601
Abstract: The majority of forecasting methods use a physical time scale for studying price fluctuations of financial markets. Using physical time scales can make companies oblivious to significant activities in the market as the flow of… read more here.
Keywords: classification; trend; directional changes; trend reversal ... See more keywords
Detecting Hijacked Journals by Using Classification Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Science and Engineering Ethics"
DOI: 10.1007/s11948-017-9914-2
Abstract: Invalid journals are recent challenges in the academic world and many researchers are unacquainted with the phenomenon. The number of victims appears to be accelerating. Researchers might be suspicious of predatory journals because they have… read more here.
Keywords: detecting hijacked; journals using; using classification; hijacked journals ... See more keywords
Comparison of different classification algorithms to identify geographic origins of olive oils
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Food Science and Technology"
DOI: 10.1007/s13197-019-04189-4
Abstract: Research on investigation and determination of geographic origins of olive oils is increased by consumers’ demand to authenticated olive oils. Classification algorithms which are machine learning methods can be employed for the authentication of olive… read more here.
Keywords: classification; classification algorithms; olive oils; origins olive ... See more keywords
Survey of precedence relationships: Classification and algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Automation in Construction"
DOI: 10.1016/j.autcon.2018.08.012
Abstract: Abstract Precedence relationships used in project planning mean for most professionals the traditional Start-to-Start-z (SSz), Finish-to-Start-z (FSz), Finish-to-Finish-z (FFz) and Start-to-Finish-z (SFz) relationships where z stands for the minimal necessary duration between the defined endpoints… read more here.
Keywords: classification algorithms; precedence; survey precedence; relationships classification ... See more keywords
Early prediction of ICU readmissions using classification algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103636
Abstract: CONTEXT Determining which patients are ready for discharge from an Intensive Care Unit (ICU) presents a huge challenge, as ICU readmissions are associated with several negative outcomes such as increased mortality, length of stay, and… read more here.
Keywords: admission; icu; classification algorithms; icu readmissions ... See more keywords
Classification algorithms applied to blood-based transcriptome meta-analysis to predict idiopathic Parkinson's disease
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103925
Abstract: Diagnosis of Parkinson's disease (PD) remains a challenge in clinical practice, mostly due to lack of peripheral blood markers. Transcriptomic analysis of blood samples has emerged as a potential means to identify biomarkers and gene… read more here.
Keywords: analysis; blood; classification algorithms; gene ... See more keywords
Identification and analysis of offenders causing hit and run accidents using classification algorithms
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Injury Control and Safety Promotion"
DOI: 10.1080/17457300.2022.2040541
Abstract: Abstract Hit-and-run crashes are significant concern for many countries. Due to lack of information of offending vehicles it is difficult to understand dynamics of these crashes to have a prevention plan. The paper aims to… read more here.
Keywords: hit run; identification analysis; run crashes; classification algorithms ... See more keywords
Rainfall Prediction Using Machine Learning Algorithms for the Various Ecological Zones of Ghana
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3139312
Abstract: Accurate rainfall prediction has become very complicated in recent times due to climate change and variability. The efficiency of classification algorithms in rainfall prediction has flourished. The study contributes to using various classification algorithms for… read more here.
Keywords: rainfall prediction; ecological zones; prediction; zones ghana ... See more keywords
Online Passive-Aggressive Multilabel Classification Algorithms.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3164906
Abstract: Most existing multilabel classification methods are batch learning methods, which may suffer from expensive retraining costs when dealing with new incoming data. In order to overcome the drawbacks of batch learning, we develop a family… read more here.
Keywords: multilabel classification; multilabel; classification algorithms; online passive ... See more keywords
Comparison of Different Dichotomous Classification Algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition and Image Analysis"
DOI: 10.1134/s105466182003030x
Abstract: Experimental investigations of various dichotomous classification algorithms are carried out. Dichotomous classification, or Error-Correcting Output Codes (ECOCs) classification, is based on the construction of a binary code matrix. The rows of the matrix contain unique… read more here.
Keywords: classification; dichotomous classification; comparison different; classification algorithms ... See more keywords
Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery
Sign Up to like & getrecommendations! Published in 2023 at "Neurosurgical Focus"
DOI: 10.3171/2023.3.focus22651
Abstract: OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but robust predictive models for patient outcomes remain limited. The development of models that accurately predict postoperative outcomes would be useful to help identify… read more here.
Keywords: surgery; nearest neighbors; identify patients; model ... See more keywords