Articles

Ensemble Models of For-Hire Vehicle Trips

in Transportation Systems Modeling

• Hao Wu
• David Levinson

An enhanced diabetes prediction amidst COVID-19 using ensemble models

in Clinical Diabetes

• Deepak Thakur
• Tanya Gera
• Vivek Bhardwaj
• Ahmad Ali AlZubi
• Farman Ali
• Jaiteg Singh

Prediction and prevention of concrete chloride penetration: machine learning and MICP techniques

in Structural Materials

• Lianqiang Li
• Le Su
• Bingchuan Guo
• Rongjiang Cai
• Xi Wang
• Tao Zhang

Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization

in Technical Advances in Plant Science

• Pandiyaraju V.
• A. M. Senthil Kumar
• Joe I. R. Praveen
• Shravan Venkatraman
• S. Pavan Kumar
• S. A. Aravintakshan
• A. Abeshek
• A. Kannan

Ensemble machine learning for digital mapping of soil pH and electrical conductivity in the Andean agroecosystem of Peru

in Pedometrics

• Carlos Carbajal-Llosa
• Antony Barja
• Samuel Pizarro

Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping

in Environmental Informatics and Remote Sensing

• Alireza Arabameri
• Saro Lee
• Fatemeh Rezaie
• Subodh Chandra Pal
• Omid Asadi Nalivan
• Asish Saha
• Indrajit Chowdhuri
• Hossein Moayedi

Short-term PM2.5 forecasting using a unique ensemble technique for proactive environmental management initiatives

in Environmental Informatics and Remote Sensing

• Hasnain Iftikhar
• Moiz Qureshi
• Justyna Zywiołek
• Javier Linkolk López-Gonzales
• Olayan Albalawi

Forecasting Corn Yield With Machine Learning Ensembles

in Technical Advances in Plant Science

• Mohsen Shahhosseini
• Guiping Hu
• Sotirios V. Archontoulis

PSO-XnB: a proposed model for predicting hospital stay of CAD patients

in Medicine and Public Health

• Geetha Pratyusha Miriyala
• Arun Kumar Sinha

Ensemble of Deep Masked Language Models for Effective Named Entity Recognition in Health and Life Science Corpora

in Emerging Technologies and Transformative Paradigms in Research

• Nona Naderi
• Julien Knafou
• Jenny Copara
• Patrick Ruch
• Douglas Teodoro

Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication

in Medicine and Public Health

• Seyed-Ali Sadegh-Zadeh
• Sanaz Khanjani
• Shima Javanmardi
• Bita Bayat
• Zahra Naderi
• Amir M. Hajiyavand

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model

• Ruoxi Qin
• Linyuan Wang
• Xuehui Du
• Pengfei Xie
• Xingyuan Chen
• Bin Yan

BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology

in Medicine and Public Health

• Ghofrane Merhbene
• Sukanya Nath
• Alexandre R. Puttick
• Mascha Kurpicz-Briki

Flora of Ferruginous Outcrops Under Climate Change: A Study in the Cangas of Carajás (Eastern Amazon)

in Functional Plant Ecology

• Tereza Cristina Giannini
• André Luis Acosta
• Wilian França Costa
• Leonardo Miranda
• Carlos Eduardo Pinto
• Maurício Takashi Coutinho Watanabe
• Daniela Cristina Zappi
• Ana Maria Giulietti
• Vera Lucia Imperatriz-Fonseca

A Machine Learning Method for Drug Combination Prediction

in Computational Genomics

• Jiang Li
• Xin-Yu Tong
• Li-Da Zhu
• Hong-Yu Zhang

Accuracy of US CDC COVID-19 forecasting models

in Infectious Diseases: Epidemiology and Prevention

• Aviral Chharia
• Govind Jeevan
• Rajat Aayush Jha
• Meng Liu
• Jonathan M. Berman
• Christin Glorioso