Automatic design of machine learning via evolutionary computation: A survey
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …
knowledge from data, has been widely applied to practical applications, such as …
Hybrid deep learning model for Arabic text classification based on mutual information
FA Abdulghani, NAZ Abdullah - Journal of Information and …, 2022 - Taylor & Francis
Text categorization refers to the process of grouping text or documents into classes or
categories according to their content, which is a significant task in natural language …
categories according to their content, which is a significant task in natural language …
[PDF][PDF] Particle Swarm Optimization for Penalize cox models in long-term prediction of breast cancer data
E Abbas, B Al-Sarray - Iraqi Journal For Computer Science and Mathematics, 2023 - iasj.net
The particle swarm optimization (PSO) algorithm was applied to penalize the Cox model for
predicting long-term outcomes in breast cancer patients. This study utilized data from 198 …
predicting long-term outcomes in breast cancer patients. This study utilized data from 198 …
An Introduction to Artificial Psychology
In science we try to build up a picture of the world. With the advancement of science,
certainty has been isolated day by day and dark clouds have cast doubt on its beauty and …
certainty has been isolated day by day and dark clouds have cast doubt on its beauty and …
Performance evaluation of feature selections on some ML approaches for diagnosing the narcissistic personality disorder
Narcissistic personality disorder (NPD) is a personality disorder that affects various aspects
of life, including relationships, employment, school, and finances. Persons with NPD usually …
of life, including relationships, employment, school, and finances. Persons with NPD usually …
The Effect of Meta-heuristic Methods on the Performance of ImageClassification
TA Anai, SS Mersal, MSM Mostafa - Iraqi Journal of Science, 2024 - ijs.uobaghdad.edu.iq
Classification accuracy is strongly affected by the quality of the input features. In recent
years, datasets have increased in size and number of features. Analysis of huge datasets …
years, datasets have increased in size and number of features. Analysis of huge datasets …
Particle Swarm Optimization for Penalize Cox Models in Long-Term Prediction of Breast Cancer Data
EA Fadhil, BA Sarray - Iraqi Journal for Computer …, 2023 - ijcsm.researchcommons.org
The particle swarm optimization (PSO) algorithm was applied to penalize the Cox model for
predicting long-term outcomes in breast cancer patients. This study utilized data from 198 …
predicting long-term outcomes in breast cancer patients. This study utilized data from 198 …
From Data to Decisions: Machine Learning in Higher Education
EJ Barnes - 2024 - search.proquest.com
This quantitative study investigates the predictive power of machine learning (ML) models
on degree completion among adult learners in higher education, emphasizing the …
on degree completion among adult learners in higher education, emphasizing the …
[PDF][PDF] Optimization Techniques for Human Multi-Biometric Recognition System
MY Abdullah - Journal of Al-Qadisiyah for Computer Science and …, 2023 - iasj.net
Researchers are increasingly using multimodal biometrics to strengthen the security of
biometric applications. In this study, a strong multimodal human identification model was …
biometric applications. In this study, a strong multimodal human identification model was …
IMPLEMENTASI BERBAGAI METODE KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) PADA MASALAH GANGGUAN KEPRIBADIAN (NARCISSISTIC …
S HENI - 2023 - digilib.unila.ac.id
Gangguan mental (mental disorder) merupakan kondisi kesehatan yang memengaruhi pola
pikir, perasaan, perilaku, suasana hati, atau campuran dari berbagai kondisi seseorang …
pikir, perasaan, perilaku, suasana hati, atau campuran dari berbagai kondisi seseorang …