Search Results for author:
Found 9 papers, 3 papers with code
Machine Learning Applied to the Detection of Mycotoxin in Food: A Review
Mycotoxins, toxic secondary metabolites produced by certain fungi, pose significant threats to global food safety and public health.
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring
We propose two models that are capable of performing multivariate spatio-temporal forecasting while handling missing data naturally without the need for imputation.
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment
Bayesian Causal Forests (BCF) is a causal inference machine learning model based on a highly flexible non-parametric regression and classification tool called Bayesian Additive Regression Trees (BART).
Review of Clustering Methods for Functional Data
We propose a systematic taxonomy that explores the connections and differences among the existing functional data clustering methods and relates them to the conventional multivariate clustering methods.
Hierarchical Embedded Bayesian Additive Regression Trees
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART).
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
This work aims to bring attention to the benefits of applying BO in designing experiments and to provide a BO manual, covering both methodology and software, for the convenience of anyone who wants to apply or learn BO.
Generalizing Gain Penalization for Feature Selection in Tree-based Models
We develop a new approach for feature selection via gain penalization in tree-based models.
Real-Time Anomaly Detection for Advanced Manufacturing: Improving on Twitter's State of the Art
The methodology is demonstrated using an example of unlabelled data from the Twitter AnomalyDetection GitHub repository and using a real manufacturing example with labelled anomalies.
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
We examined the use of three conventional anomaly detection methods and assess their potential for on-line tool wear monitoring.
