Drug-target interaction prediction using machine learning
In the last decade, there has been a major worldwide evolution in the drug discovery and
design technologies, in conjunction with the bold emergence of bioinformatics. Different …
design technologies, in conjunction with the bold emergence of bioinformatics. Different …
Supervised Machine Learning Modelling of Demand for Outpatient Health-Care Services in Kenya using Artificial Neural Networks and Regression Decision Trees
Machine learning models are frequently gaining wide applications in different fields with an
emphasis on supervised machine learning for data exploration as in healthcare provision …
emphasis on supervised machine learning for data exploration as in healthcare provision …
An Intelligent Procedure for Dynamic Evaluation in a Scientific Learning Session
O Diyer, N Achtaich, K Najib - Journal of Physics: Conference …, 2021 - iopscience.iop.org
In this research, we are interested in the evaluation of scientific subjects' teaching
components such as course questions, examples, application and deepening exercises …
components such as course questions, examples, application and deepening exercises …
REDUCE: a semi-supervised scalable approach for REsult DUplication detection in Search Engines
Search engines are among the most popular web services on the World Wide Web. They
facilitate the process of finding information using a query-result mechanism. However …
facilitate the process of finding information using a query-result mechanism. However …
Students Academic Performance Prediction Based on Square Root Data Transformation and Ensemble Technique
W Abdullahi, M Olalere - 2021 - repository.futminna.edu.ng
Data mining research is evolving rapidly in the educational sector because of the vast
amount of student information used to detect and explore useful patterns applicable to …
amount of student information used to detect and explore useful patterns applicable to …
Extension of the Hybrid Method for Efficient Imputation of Records with Several Missing Attributes
K Dramane, KK Prosper, GB Tra - … Conference on e-Infrastructure and e …, 2021 - Springer
The treatment of records with several discrete missing values present in the databases is still
a delicate problem. Indeed, these records can bias the results of data mining algorithms …
a delicate problem. Indeed, these records can bias the results of data mining algorithms …
DIABETIC RETINOPATHY CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK AND STACKING ENSEMBLE OF CLASSIFIERS TECHNIQUES
R INUWA - 2021 - repository.futminna.edu.ng
Early detection of diabetic retinopathy (DR) is critical, as prompt treatment can help reduce
or even prevent visual loss. Most of the current state-of-the-art machine learning techniques …
or even prevent visual loss. Most of the current state-of-the-art machine learning techniques …
A CASCADED BI-LEVEL FEATURE SELECTION TECHNIQUE FOR PREDICTING STUDENTS'ACADEMIC PERFORMANCE
A WOKILI - 2021 - repository.futminna.edu.ng
ABSTRACT Educational Data Mining is an important task which is used to detect and
explore useful patterns applicable to student learning behavior. Features in educational data …
explore useful patterns applicable to student learning behavior. Features in educational data …
[PDF][PDF] A HYBRID ALGORITHM IN BIG DATA FRAMEWORK FOR PEST CLASSIFICATION
RPL Durgabai, P Bhargavi, S Jyothi - academia.edu
Agriculture is an intuitive space which is usually transformed from one generation to another
generation. In agriculture there are many problems which effect the crop growth out of which …
generation. In agriculture there are many problems which effect the crop growth out of which …