An ensemble of heterogeneous incremental classifiers for assisted reproductive technology outcome prediction

K Ranjini, A Suruliandi, SP Raja - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… In this research, a novel ensemble of heterogeneous incremental classifiers has been
proposed by combining the IB1 learner and A1DE updatable learner. The model is chiefly …

[HTML][HTML] Dynamic model for assisted reproductive technology outcome prediction

R Kothandaraman, S Andavar, RSP Raj - … of Biology and Technology, 2021 - SciELO Brasil
… using Machine Learning (ML) techniques. The proposed dynamic model … ensemble of
heterogeneous incremental classifier and its performance is compared with state-of-art classifiers

[HTML][HTML] A Hybrid Feature Ranking Algorithm for Assisted Reproductive Technology Outcome Prediction

R Kothandaraman, S Andavar, RSP Raj - … of Biology and Technology, 2022 - SciELO Brasil
… that using a combination of classifiers, rather than a single one… will use Ensemble of
Heterogeneous Incremental Classifier (… An Ensemble of Heterogeneous Incremental Classifiers for …

Comparison of machine learning classification techniques to predict implantation success in an IVF treatment cycle

P Yiğit, A Bener, S Karabulut - Reproductive BioMedicine Online, 2022 - Elsevier
Assisted reproductive technology (ART) is the general term that defines several treatment
strategies for infertility including IVF, … concluded that tree-based ensemble models are the most …

[PDF][PDF] Artificial Intelligence (AI) for Embryo Ranking and its Use in Human Assisted Reproduction

A Chavez Badiola - 2024 - kar.kent.ac.uk
… This introduction will deal with the use of AI in assisted reproduction technology much later.
… Together, we created a system consisting of different classifiers that is fed with novel and …

[HTML][HTML] The online performance estimation framework: heterogeneous ensemble learning for data streams

JN van Rijn, G Holmes, B Pfahringer, J Vanschoren - Machine Learning, 2018 - Springer
… -level classifier, most often Hoeffding Trees. We study the use of heterogeneous ensembles
… Furthermore, we consider some fast batch-incremental classifiers from Weka 3.7.12 (Hall et …

[HTML][HTML] A hybrid feature selection algorithm to determine effective factors in predictive model of success rate for in vitro fertilization/intracytoplasmic sperm injection …

A Mehrjerd, H Rezaei, S Eslami… - … Journal of Reproductive …, 2023 - ncbi.nlm.nih.gov
… of assisted reproductive technology using a dynamic model called ensemble of heterogeneous
incremental classifier … outcome of assisted reproductive technology using an ensemble of …

[HTML][HTML] Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble

M Sarnovsky, M Kolarik - PeerJ Computer Science, 2021 - peerj.com
… Some of the algorithms are naturally incremental (eg, Naive Bayes), while others require
significant changes in the algorithm structure to enable incremental processing. Therefore, the …

[HTML][HTML] Building heterogeneous ensembles by pooling homogeneous ensembles

M Sabzevari, G Martínez-Muñoz, A Suárez - International Journal of …, 2022 - Springer
… In this paper, a family of heterogeneous ensembles is built by pooling classifiers from M …
In their proposal, the ensemble is grown incrementally by selecting from the library one …

Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus

N Singh, P Singh - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
… Due to such limitation of single classifiers, we have employed ensemble-based technique
in … This sub-section elaborates the proposed heterogeneous ensemble system for detecting …