Results 41 to 50 of about 21,772 (300)

Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]

, 2013
Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B., Khalid M. Salama, Salama, Khalid M., Fernando E. B. Otero   +3 more
core   +1 more source

FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes

IEEE Access, 2021
With the increased use of machine learning algorithms to make decisions which impact people’s lives, it is of extreme importance to ensure that predictions do not prejudice subgroups of the population with respect to sensitive attributes such as ...
Teresa Salazar, Miriam Seoane Santos, Helder Araujo, Pedro Henriques Abreu   +3 more
doaj   +1 more source

WEC: weighted ensemble of text classifiers. [PDF]

, 2020
Text classification is one of the most important tasks in the field of Natural Language Processing. There are many approaches that focus on two main aspects: generating an effective representation; and selecting and refining algorithms to build the ...
McCall, John, Upadhyay, Ashish, Massie, Stewart, John McCall, Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, Nguyen, Tien Thanh   +7 more
core   +1 more source

Hybrid Deep Learning Models for Multi-classification of Tumour from Brain MRI

Journal of Information Systems Engineering and Business Intelligence, 2022
Background: Brain tumour categorisation can be assisted with computer-aided diagnostic (CAD) for medical applications. Biopsies to classify brain tumours can be costly and time-consuming. Radiologists may also misclassify brain tumour types when handling
Hafiza Akter Munira, Md Saiful Islam
doaj   +1 more source

Effect of Data Preparation on Machine Learning Models for Diabetes Prediction

Engineering Proceedings
This paper examines how data preparation affects machine-learning classifiers for diabetes-risk prediction using the Pima Indians Diabetes Database. Three preprocessing methods are considered: imputing invalid zeros, handling outliers, and data scaling ...
Goran Martinović, Ivan Ivković, Domen Verber, Tatjana Bačun   +3 more
doaj   +1 more source

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results [PDF]

, 2016
The vast majority of Ant Colony Optimization (ACO) algorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt-MinerPB algorithm, where an
Otero, Fernando E.B., Freitas, Alex A.
core   +1 more source

Ensemble Classification Algorithm for Imbalanced Data Combined with Local Area Density

Jisuanji kexue yu tansuo, 2020
Oversampling method is one of the effective ways to deal with imbalance classification problems. This paper focuses on the problems of reducing sampling result faced by the oversampling methods based on SMOTE(synthetic minority oversampling technique) in
YANG Hao, CHEN Hongmei
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

FEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil, Anna Corrà, Annalisa Scapolatiello, Chengxiang Qiu, Gianluca Amadei   +4 more
wiley   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source