[HTML][HTML] Evaluating pointwise reliability of machine learning prediction
Abstract Interest in Machine Learning applications to tackle clinical and biological problems
is increasing. This is driven by promising results reported in many research papers, the …
is increasing. This is driven by promising results reported in many research papers, the …
Improved reptile search optimization algorithm using chaotic map and simulated annealing for feature selection in medical field
The increased volume of medical datasets has produced high dimensional features,
negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is …
negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is …
Machine learning based cost effective electricity load forecasting model using correlated meteorological parameters
Electricity, a fundamental commodity, must be generated as per required utilization which
cannot be stored at large scales. The production cost heavily depends upon the source such …
cannot be stored at large scales. The production cost heavily depends upon the source such …
[Retracted] Classification of Breast Cancer Images by Implementing Improved DCNN with Artificial Fish School Model
M Thilagaraj, N Arunkumar… - Computational …, 2022 - Wiley Online Library
Breast cancer is an important factor affecting human health. This issue has various
diagnosis process which were evolved such as mammography, fine needle aspirate, and …
diagnosis process which were evolved such as mammography, fine needle aspirate, and …
Review paper on research direction towards cancer prediction and prognosis using machine learning and deep learning models
Cancer is characterized as a heterogeneous disease of various types. The early detection
and prognosis of a cancer type have turned into a major requirement, as it facilitates …
and prognosis of a cancer type have turned into a major requirement, as it facilitates …
Detection and Prognosis of Cancer Using State-of-the-Art Technologies: Review, Issues, and Motivation
Cancer is the most dangerous disease. It has a high death rate, is challenging to prevent,
and is prone to recurrence and metastasis. A set of more than 100 distinct disorders …
and is prone to recurrence and metastasis. A set of more than 100 distinct disorders …
A Supervised Learning Identification System for Prognosis of Breast Cancer
Breast cancer is one of the most dangerous cancers, accounting for a large number of
fatalities each year. It is the leading cause of mortality among women globally. It is getting a …
fatalities each year. It is the leading cause of mortality among women globally. It is getting a …
Hybridizing Artificial Neural Networks through Feature Selection based Supervised Weight Initialization and Traditional Machine Learning Algorithms for improved …
Computer-aided decision support systems (DSSs) are becoming popular in a variety of
professions. Notably, medical DSSs assist healthcare professionals (decision makers) …
professions. Notably, medical DSSs assist healthcare professionals (decision makers) …
IDPS signature classification with a reject option and the incorporation of expert knowledge
H Kawaguchi, Y Nakatani… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
As the importance of intrusion detection and prevention systems (IDPSs) increases, great
costs are being incurred to manually manage signatures, which are malicious …
costs are being incurred to manually manage signatures, which are malicious …
IDPS signature classification based on active learning with partial supervision from network security experts
H Kawaguchi, Y Nakatani, S Okada - IEEE Access, 2022 - ieeexplore.ieee.org
As intrusion detection and prevention systems (IDPSs) grow in importance, the cost of
managing signatures, which are pattern files of malicious communications, continues to …
managing signatures, which are pattern files of malicious communications, continues to …