Machine Learning — Search — ECUSTA Research Portal

+251 (0) 913 23 93 92 library@ecusta-hli.edu.et

Inside E-Learning HelpDesk ECUSTA Website ↗

ECUSTA Research & Library Portal

Sign In

Home Search Papers Books & eBooks Databases (Sign in required) Research Guide API Docs

Inside Portal E-Learning HelpDesk

Sign In with Google

3,838,747+ results for "Machine Learning" from openalex (0.49s)

All OpenAlex PubMed arXiv CrossRef Semantic Scholar Books DOAJ NADRE (Ethiopia)

Using machine learning to predict ovarian cancer

Mingyang Lu, Zhenjiang Fan, Bin Xu

View Record Cited by 138

OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning

Arvind K. Sujeeth, HyoukJoong Lee, Kevin Brown

View Record Cited by 171

Social Media Cyberbullying Detection using Machine Learning

John Hani, Mohamed Nashaat, Mostafa Ahmed

Free PDF View Record Cited by 151

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*

H.M. Giannini, Jennifer C. Ginestra, Corey Chivers

Free PDF View Record Cited by 253

Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

Ümit Ağbulut

Free PDF View Record Cited by 259

A Hybrid Machine Learning System For Stock Market Forecasting

Rohit Choudhry, Kumkum Garg

Free PDF View Record Cited by 158

Machine learning for synergistic network pharmacology: a comprehensive overview

Fatima Noor, Muhammad Asif, Usman Ali Ashfaq

View Record Cited by 176

Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

Zhilu Chang, Zhen Du, Fan Zhang

Free PDF View Record Cited by 270

Data Learning: Integrating Data Assimilation and Machine Learning

Caterina Buizza, César Quilodrán Casas, Philip Nadler et al.

View Record Cited by 139

Ensemble Learning Techniques and its Efficiency in Machine Learning: A Survey

Thomas N. Rincy, R. Gupta

View Record Cited by 147

Methods to Avoid Over-Fitting and Under-Fitting in Supervised Machine Learning (Comparative Study)

Haider Khalaf Jabbar, Rafiqul Zaman Khan

View Record Cited by 325

Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000)

Pat Langley, San Francisco, California Ub

View Record Cited by 248

‹ Prev 263 264 265 266 267 Next ›