Multi-instance partial-label learning: towards exploiting dual inexact supervision

- Tang, Wei, Zhang, Weijia, Zhang, Min-Ling

Multi-Layer Soil Moisture Estimation Using Combined L-and P-Band Radiometry: An Application of Machine Learning Algorithms

- Brakhasi, Foad, Walker, Jeffrey P., Kerr, Yann, Jackson, Thomas, Judge, Jasmeet, Liu, Pang-Wei, Shen, Xiaoji, Ye, Nan, Wu, Xiaoling, Yeo, In-Young, Prajapati, Richa, Kim, Edward

Multi-modal neuroimaging signatures predict cognitive decline in multiple sclerosis: A 5-year longitudinal study.

- Al-iedani, Oun, Lea, Stasson, Alshehri, A., Maltby, Vicki E., Saugbjerg, Bente, Ramadan, Saadallah, Lea, Rodney, Lechner-Scott, Jeannette

Real-time monitoring and predictive analysis of VOC flux variations in soil vapor: Integrating PID sensing with machine learning for enhanced vapor intrusion forecasts

- Wang, Liang, Cheng, Ying, Parekh, Gaurang, Naidu, Ravi

Sampling-Based Machine Learning Models for Intrusion Detection in Imbalanced Dataset

- Fan, Zongwen, Sohail, Shaleeza, Sabrina, Fariza, Gu, Xin

Scrutinizing different predictive modeling validation methodologies and data-partitioning strategies: new insights using groundwater modeling case study

- Lal, Alvin, Sharan, Ashneel, Sharma, Krishneel, Ram, Arishma, Roy, Dilip Kumar, Datta, Bithin

Sociodemographic Factors and Presentation Features of Individuals Seeking Mental Health Care in Emergency Departments: A Retrospective Cohort Study

- Higgins, Oliver, Sheather-Reid, Rachel B., Chalup, Stephan K., Wilson, Rhonda L.

Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning

- Muller, Matthew, Kroon, Steve, Chalup, Stephan

Validating the knowledge represented by a self-organizing map with an expert-derived knowledge structure

- Amos, Andrew James, Lee, Kyungmi, Gupta, Tarun Sen, Malau-Aduli, Bunmi S.

Virtual modelling aided safety assessment for ductile structures against high-velocity impact

- Feng, Yuan, Alamdari, Mehrisadat Makki, Wu, Di, Luo, Zhen, Ruan, Dong, Egbelakin, Temitope, Chen, Xiaojun, Gao, Wei

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care

- Young, Richard A., Martin, Carmel M., Sturmberg, Joachim P., Hall, Sally, Bazemore, Andrew, Kakadiaris, Ioannis A., Lin, Steven

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

- Alharbi, Fahad, Luo, Suhuai, Zhang, Hongyu, Shaukat, Kamran, Yang, Guang, Wheeler, Craig A., Chen, Zhiyong

A Comprehensive Review of Deep Learning Approaches for Animal Detection on Video Data

- Kumar, Prashanth, Luo, Suhuai, Shaukat, Kamran

A design concept of big data analytics model for managers in hospitality industries

- Mousavian, Seyedmohammad, Miah, Shah J., Zhong, Yifan

A glimpse into the future: modelling global prevalence of hypertension

- Boateng, Emmanuel B., Ampofo, Ama G.

A Method for Rapid Machine Learning Development for Data Mining with Doctor-inthe- Loop

- Bull, Neva J., Honan, Bridget, Spratt, Neil J., Quilty, Simon

A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textual-based Feature Extraction

- Budhi, Gregorius Satia, Chiong, Raymond

A Novel Deep Learning-Based Approach for Malware Detection

- Shaukat, Kamran, Luo, Suhuai, Varadharajan, Vijay

A practical approach to making use of uncertain species presence-only data in ecology: Reclassification, regularization methods and observer bias

- Guilbault, Emy, Renner, Ian, Beh, Eric J., Mahony, Michael

A Review of the Recent Progress on Crowd Anomaly Detection

- Altowairqi, Sarah, Luo, Suhuai, Greer, Peter