Platform-of-1: A Bayesian Adaptive N-of-1 Trial Design for Identifying an Optimal Treatment Among Multiple Candidates by Christian B. Pascual (22330170)

“…<p>The process of determining an individual’s optimal treatment can be laborious. In this article, we develop a Bayesian clinical trial design, called the <i>Platform-of-1</i>, to identify this treatment among multiple candidates. …”

Implementation of a Bayesian Optimization Framework for Interconnected Systems by Leonardo D. González (20571619)

“…Bayesian optimization (BO) is an effective paradigm for the optimization of expensive-to-sample systems. …”

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

Illustration of our EM algorithm (for <i>k</i> = 3 at <i>t</i> = 1) that updates a randomly initialized density in (a) through Iterations 1–6 in (b)–(g) to approximate the unknown... by John Y Choe (20890175)

<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median... by Kevin J. Wischnewski (21354521)

Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

“…In this work, we present an autonomous CQD synthesis system that successfully performs multi-objective optimization (MOO) via Bayesian optimization-based algorithms.…”

Distributions of optimized coupling parameters and median FC strengths for males and females. by Kevin J. Wischnewski (21354521)

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. …”

Bayesian Clustering via Fusing of Localized Densities by Alexander Dombowsky (20289372)

“…FOLD has a fully Bayesian decision theoretic justification, naturally leads to uncertainty quantification, can be easily implemented as an add-on to MCMC algorithms for mixtures, and favors a small number of distinct clusters. …”

Cases with clonal MMR deficiencies. by Yuqian Liu (1413763)

“…During the process of deconvolution, the optimized division of each sub-clone is attained by a heuristic algorithm, aligning with clone proportions that adhere optimally to the sample’s clonal structure. …”

A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data by Mario Beraha (11669142)

“…Departing from traditional algorithmic approaches, recent works have proposed Bayesian nonparametric (BNP) methods that can provide more informative frequency estimates by leveraging modeling assumptions about the distribution of the sketched data. …”

Modeling CO₂ solubility in polyethylene glycol polymer using data driven methods by YunLi Lei (21458056)

“…In this research, a Random Forest (RF) machine learning model is meticulously tuned through four sophisticated optimization algorithms: Batch Bayesian Optimization (BBO), Self-Adaptive Differential Evolution (SADE), Bayesian Probability Improvement (BPI), and Gaussian Processes Optimization (GPO). …”

Distributions of the goodness-of-fit (GoF) values for all tested approaches and parameter spaces. by Kevin J. Wischnewski (21354521)

Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

<b>Spatial modeling of gully density on the Qinghai-Tibet Plateau: Application of hyperparameter optimization in interpretable machine learning</b> by Zhoujiang Liu (22741966)

“…Various machine learning models were used, and different hyperparameter optimization algorithms were selected to train the models to obtain the best model. …”