Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

Supplementary Material for: Implementation of machine learning algorithms to screen for advanced liver fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD): an in-depth explanatory analysis by Dabbah S. (19947807)

“…Background This study aimed to train machine learning algorithms(MLAs) to detect advanced fibrosis(AF) in MASLD patients at the level of primary care setting and to explain the predictions to ensure responsible use by clinicians. …”

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx by Veera Narayana Balabathina (22518524)

“…This study focuses on developing an efficient classification framework for species-level tree mapping in the Hauz Khas Urban Forest, New Delhi, India, using EO-1 Hyperion hyperspectral imagery.…”

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

The machine learning framework implemented in the present work. by Akshansh Mishra (21001499)

Extracting Residue Solvent Exposure from Covalent Labeling Data with Machine Learning: A Hybrid Approach for Protein Structure Prediction by Elijah H. Day (21396836)

Subjects:

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”

The hyper-parameter settings used in this study. by Ailian Gao (20629841)

Subjects:

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

“…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i>₁ is the technological Complexity sum of all the technology done by <i>e</i>₁. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Algorithm factor level change curve. by Kuiyuan Pan (21145338)

Algorithm used for dose reconstruction in workers. by Jonathan Côté (527819)

Clinical use algorithm. by Chibuike K. Uwakwe (22655742)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

Short-version of my talk "On networks and deep learning" at ICERM 2024 Algorithmic Advances and Implementation Challenges: Developing Practical Tools for Phylogenetic Inference by Claudia Solis-Lemus (19964739)

The frequency distribution of ranking levels for different algorithms. by Yating Ji (11819687)

Algorithm used for the determination of the model parametric values. by Jonathan Côté (527819)

Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

Subjects: