Results 1 to 10 of about 93,556 (252)

Optimizing lung cancer classification through hyperparameter tuning [PDF]

Digital Health
Artificial intelligence is steadily permeating various sectors, including healthcare. This research specifically addresses lung cancer, the world's deadliest disease with the highest mortality rate.
Syed Muhammad Nabeel, Sibghat Ullah Bazai, Nada Alasbali, Yifan Liu, Muhammad Imran Ghafoor, Rozi Khan, Chin Soon Ku, Jing Yang, Sana Shahab, Lip Yee Por   +9 more
doaj   +4 more sources

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data [PDF]

Applied Sciences, 2022
Accurate detection is still a challenge in machine learning (ML) for Alzheimer’s disease (AD). Class imbalance in imbalanced AD data is another big challenge for machine-learning algorithms working under the assumption that the data are evenly ...
Fan Zhang, Melissa Petersen, Leigh Johnson, James Hall, Sid E. O’Bryant   +4 more
doaj   +2 more sources

Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer’s Disease With High Performance Computing [PDF]

Frontiers in Artificial Intelligence, 2021
Driven by massive datasets that comprise biomarkers from both blood and magnetic resonance imaging (MRI), the need for advanced learning algorithms and accelerator architectures, such as GPUs and FPGAs has increased.
Fan Zhang, Fan Zhang, Melissa Petersen, Melissa Petersen, Leigh Johnson, Leigh Johnson, James Hall, James Hall, Sid E. O’Bryant, Sid E. O’Bryant   +9 more
doaj   +2 more sources

Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction [PDF]

Scientific Reports
Federated Learning is transforming electrical load forecasting by enabling Artificial Intelligence (AI) models to be trained directly on household edge devices.
Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas   +6 more
doaj   +2 more sources

A new method for detecting P300 signals by using deep learning: Hyperparameter tuning in high-dimensional space by minimizing nonconvex error function

Journal of Medical Signals and Sensors, 2018
Background: P300 signal detection is an essential problem in many fields of Brain-Computer Interface (BCI) systems. Although deep neural networks have almost ubiquitously used in P300 detection, in such networks, increasing the number of dimensions leads
Seyed Vahab Shojaedini, Sajedeh Morabbi, MohammadReza Keyvanpour   +2 more
doaj   +2 more sources

Seleksi Fitur dengan Particle Swarm Optimization pada Klasifikasi Penyakit Parkinson Menggunakan XGBoost

Jurnal Teknologi Informasi dan Ilmu Komputer, 2023
Penyakit Parkinson merupakan gangguan pada sistem saraf pusat yang mempengaruhi sistem motorik. Diagnosis penyakit ini cukup sulit dilakukan karena gejalanya yang serupa dengan penyakit lain.
Deni Kurnia, Muhammad Itqan Mazdadi, Dwi Kartini, Radityo Adi Nugroho, Friska Abadi   +4 more
doaj   +3 more sources

Klasifikasi COVID-19 menggunakan Filter Gabor dan CNN dengan Hyperparameter Tuning

Jurnal Elkomika, 2021
ABSTRAK Penyakit COVID-19 dapat timbul karena berbagai faktor sebab dan akibat, sehingga penyakit ini memiliki efek buruk bagi penderita. Pencitraan CT-Scan memiliki keunggulan dalam memproyeksikan kondisi paru-paru pasien penderita, sehingga dapat ...
AGUS EKO MINARNO, MOCHAMMAD HAZMI COKRO MANDIRI, MUHAMMAD RIFAL ALFARIZY   +2 more
doaj   +1 more source

Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis

Informatics, 2021
Machine learning models are used today to solve problems within a broad span of disciplines. If the proper hyperparameter tuning of a machine learning classifier is performed, significantly higher accuracy can be obtained.
Enas Elgeldawi, Awny Sayed, Ahmed R. Galal, Alaa M. Zaki   +3 more
doaj   +1 more source

Robust algorithm to learn rules for classification: A fault diagnosis case study [PDF]

FME Transactions, 2023
Machine learning algorithms are used for building classifier models. The rule-based decision tree classifiers are popular ones. However, the performance of the decision tree classifier varies with hyperparameter tuning.
Balaji Arun P., Sugumaran V.
doaj   +1 more source

Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting

IEEE Access, 2021
Stock price forecasting has been reported as a challenging task in the scientific and financial communities due to stock prices’ nonlinear and dynamic nature.
Kazi Ekramul Hoque, Hamoud Aljamaan
doaj   +1 more source