Search Results - "Mwangi, Ronald Waweru"

Adaptive boosting in ensembles for outlier detection: Base learner selection and fusion via local domain competence by Bii, Joash Kiprotich, Rimiru, Richard, Mwangi, Ronald Waweru

“…Unusual data patterns or outliers can be generated because of human errors, incorrect measurements, or malicious activities. Detecting outliers is a difficult…”
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An Estimation of a Hybrid Log-Poisson Regression Using a Quadratic Optimization Program for Optimal Loss Reserving in Insurance by Woundjiagué, Apollinaire, Waweru Mwangi, Ronald, Mbele Bidima, Martin Le Doux

“…In this article, we are interested in developing an alternative estimation method of the parameters of the hybrid log-Poisson regression model. In our previous…”
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A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices by Sibindi, Racheal, Mwangi, Ronald Waweru, Waititu, Anthony Gichuhi

“…The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques…”
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GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait by Mulwa, Mercy Mawia, Mwangi, Ronald Waweru, Mindila, Agnes

“…Machine learning (ML) has been used in human gait data for appropriate assistive device prediction. However, their uptake in the medical setup still remains…”
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Adaptive boosting in ensembles for outlier detection: Base learner selection and fusion via local domain competence by Bii, Joash Kiprotich, Rimiru, Richard, Mwangi, Ronald Waweru

“…Unusual data patterns or outliers can be generated because of human errors, incorrect measurements, or malicious activities. Detecting outliers is a difficult…”
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Classification of cassava leaf diseases using deep Gaussian transfer learning model by Emmanuel, Ahishakiye, Mwangi, Ronald Waweru, Murithi, Petronilla, Fredrick, Kanobe, Danison, Taremwa

“…In Sub‐Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method…”
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OAAE: Optimized adaptive anomaly detection ensemble—Base model boosting by parameter optimization by Bii, Joash Kiprotich, Rimiru, Richard, Mwangi, Ronald Waweru

“…Irregular data or anomalies may occur due to human error, miscalculation, or malicious system behavior. The detection of anomalies is a difficult task that…”
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Comparing Deep Learning Object detection Methods for Real Time Cow Detection by Martha, Gichuki Wambui, Waweru Mwangi, Ronald, Aramvith, Supavadee, Rimiru, Richard

“…Deep learning algorithms particularly Convolutional Neural Networks (CNNs) are the state-of-the-art techniques for object detection, classification,…”
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Hybrid interpretable model using roughset theory and association rule mining to detect interaction terms in a generalized linear model by Mwangi, Isaac Kega, Nderu, Lawrence, Mwangi, Ronald Waweru, Njagi, Dennis Gitari

“…In machine learning, interpretability is paramount, and identifying interactions in data is a key component in creating interpretable models. Despite…”
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A Fuzzy Least-Squares Estimation of a Hybrid Log-Poisson Regression and Its Goodness of Fit for Optimal Loss Reserves in Insurance by Apollinaire, Woundjiagué, Le Doux, Mbele Bidima Martin, Ronald, Waweru Mwangi

“…In loss reserving, the log-Poisson regression model is a well-known stochastic model underlying the chain-ladder method which is the most used method for…”
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Optimizing Computer Worm Detection Using Ensembles by Ochieng, Nelson, Ateya, Ismail, Waweru Mwangi, Ronald

“…The scope of this research is computer worm detection. Computer worm has been defined as a process that can cause a possibly evolved copy of it to execute on a…”
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Fuzzy Logic Based Context Aware Recommender for Smart E-learning Content Delivery by Gogo, Kevin Otieno, Nderu, Lawrence, Mwangi, Ronald Waweru

“…There has been a huge growth of data in education due to integration of ICT in educational and the evolution of E-learning, to bring about technology enabled…”
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A Hybrid Fuzzy Regression Model for Optimal Loss Reserving in Insurance by Apollinaire, Woundjiagué, Doux, Mbele Bidima Martin Le, Ronald, Waweru Mwangi

“…In this article, a Hybrid Fuzzy Regression Model with Asymmetric Triangular Fuzzy Coefficients and optimized $h-$value in Generalized Linear Models (GLM)…”
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A Least Squares Estimation of a Hybrid log-Poisson Regression and its Goodness of Fit for Optimal Loss Reserves in Insurance by Woundjiague, Apollinaire, Bidima, Martin Le Doux Mbele, Mwangi, Ronald Waweru

“…In this article, the parameters of a hybrid log-linear model (log-Poisson) are estimated using the fuzzy least-squares (FLS) procedures (Celmi\c{n}\v{s},…”
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