Results 41 to 50 of about 6,356,098 (354)

Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection

Artificial Intelligence Review
Federated Learning (FL) is a technique that can learn a global machine-learning model at a central server by aggregating locally trained models. This distributed machine-learning approach preserves the privacy of local models.
Naila Latif, Wenping Ma, Hafiz Bilal Ahmad   +2 more
semanticscholar   +1 more source

Eleven quick tips for data cleaning and feature engineering

PLoS Comput. Biol., 2022
Applying computational statistics or machine learning methods to data is a key component of many scientific studies, in any field, but alone might not be sufficient to generate robust and reliable outcomes and results.
D. Chicco, L. Oneto, Erica Tavazzi
semanticscholar   +1 more source

Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit

Jurnal Teknologi Informasi dan Ilmu Komputer
  Risiko kredit adalah hal yang penting untuk dianalisis di awal pengajuan kredit guna mengurangi nilai Non-Performing Loan (NPL) atau risiko gagal bayar.
Nadea Putri Nur Fauzi, Siti Khomsah, Aditya Dwi Putra Wicaksono   +2 more
doaj   +3 more sources

Towards correct-by-construction product variants of a software product line: GFML, a formal language for feature modules

, 2015
Software Product Line Engineering (SPLE) is a software engineering paradigm that focuses on reuse and variability. Although feature-oriented programming (FOP) can implement software product line efficiently, we still need a method to generate and prove ...
Dubois, Catherine, Levy, Nicole, Pham, Thi-Kim-Zung   +2 more
core   +2 more sources

A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability

Critical Care
Sepsis, an acute and potentially fatal systemic response to infection, significantly impacts global health by affecting millions annually. Prompt identification of sepsis is vital, as treatment delays lead to increased fatalities through progressive ...
Sherali Bomrah, Mohy Uddin, Umashankar Upadhyay, M. Komorowski, Jyoti Priya, Eshita Dhar, Shih-chang Hsu, S. Syed-Abdul   +7 more
semanticscholar   +1 more source

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

Journal of Big Data
The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small number ...
Muhammad Mujahid, Erol Kina, F. Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf   +6 more
semanticscholar   +1 more source

Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images. [PDF]

Sensors (Basel)
Cambay VY, Barua PD, Hafeez Baig A, Dogan S, Baygin M, Tuncer T, Acharya UR.   +6 more
europepmc   +3 more sources

Deep & Cross Network for Ad Click Predictions

, 2017
Feature engineering has been the key to the success of many prediction models. However, the process is non-trivial and often requires manual feature engineering or exhaustive searching.
Fu, Bin, Fu, Gang, Wang, Mingliang, Wang, Ruoxi   +3 more
core   +1 more source

Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks

IEEE Access, 2021
The proliferation of Internet of Things (IoT) systems and smart digital devices, has perceived them targeted by network attacks. Botnets are vectors buttoned up which the attackers grapple the control of IoT systems and comportment venomous activities ...
M. Panda, A. Mousa, A. Hassanien
semanticscholar   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source