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.…”

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)

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

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

Subjects:

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

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:

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

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

Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

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)

Summary of major algorithms used for signal detection. by Feilong Tan (14886395)

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

Data sets implemented for analysis. by Nan Huang (464390)