Model code حسب Waltraud Schulze (20695250)

"…<p dir="ltr">Quantification and classification of leaf surface texture complexity: SEM images were used as databases to quantify the texture complexity of leaf abaxial surfaces. …"

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

"…<br> <br>Conclusion<br><br>The study concludes that the habitat variable, used in isolation, is insufficient to create a safe and reliable mushroom toxicity classification model. The consistent accuracy of 70.28% does not represent a flaw in the SVM. algorithm, but rather the predictive performance ceiling of the feature itself, whose simplicity and class overlap limit the model's discriminatory ability. …"

Data Sheet 1_Identification of anaerobic bacterial strains by pyrolysis-gas chromatography-ion mobility spectrometry.docx حسب Tim Kobelt (5104637)

"…This need is particularly acute within the complex oral microbiome, where diverse opportunistic pathogens contribute to a range of local and systemic diseases. …"

Code repository حسب Dimitrios Iason Papadopoulos (21556811)

"…Initial results demonstrate strong potential for accurate, simulation-driven diagnostics of complex damage states in advanced composite materials.…"

Table 1_A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.xlsx حسب José Luis Uc Castillo (20516885)

"…It identified that the selection and application of the algorithms rely on the study objective and the data patterns. …"

Table 2_A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.docx حسب José Luis Uc Castillo (20516885)

"…It identified that the selection and application of the algorithms rely on the study objective and the data patterns. …"

Data Sheet 1_Convolutional neural networks decode finger movements in motor sequence learning from MEG data.docx حسب Aleksey Zabolotniy (22211695)

"…The performance of our approach was comparable to complex deep learning architectures, while providing faster and interpretable outcome. …"

Supplementary Material 9 حسب Nishitha R Kumar (19750617)

"…<p dir="ltr">CD-HIT (Cluster Database at High Identity with Tolerance) is a widely used clustering algorithm that reduces redundancy in large genomic datasets. …"

Supplementary file 1_Probiotic modulation of maternal gut and milk microbiota and potential implications for infant microbial development in the perinatal period.docx حسب Kian Deng Tye (14200517)

"…These findings highlight complex diet–microbiota–immune interactions within reproductive and lactational systems, offering insights into strategies for enhancing maternal and neonatal health resilience.…"

Table 1_Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer’s disease spectrum: demonstr... حسب Harrison Fah (20821769)

"…Two XAI algorithms were compared using five performance and five similarity metrics.…"

ASR accuracy factors of child AAE Speakers (Fletcher et al., 2025) حسب Brittany N. Fletcher (22264800)

"…</p><p dir="ltr"><b>Conclusions: </b>The complexities of voice, motor, and articulatory development within children can be characterized by acoustic measures. …"

Table 1_Older people and stroke: a machine learning approach to personalize the rehabilitation of gait.docx حسب Elvira Maranesi (8839496)

"…Machine learning (ML) algorithms—Random Forest (RF), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN)—were employed for classification, with RF demonstrating superior performance in accuracy, precision, recall (all exceeding 85%), and F1 score compared to SVM and KNN. …"

Table 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.xlsx حسب Qian Dong (414788)

"…Hub genes were screened using differential expression analysis, weighted gene co-expression network analysis (WGCNA), LASSO regression, random forest (RF) algorithms, and consensus clustering for DKD patient classification. …"

Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf حسب Qian Dong (414788)

"…Hub genes were screened using differential expression analysis, weighted gene co-expression network analysis (WGCNA), LASSO regression, random forest (RF) algorithms, and consensus clustering for DKD patient classification. …"

Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction حسب Jun Jin (551362)

"…The two distributed algorithms are further adapted to principal weighted support vector machines for sufficient dimension reduction in binary classification. …"

Table 1_Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea.docx حسب Yifan Zhu (417526)

"…SASD framework, which systematically decomposes complex livestock price time series into trend, seasonal, and residual components, improving the forecasting accuracy by isolating seasonal patterns and irregular fluctuations. …"

Efficient Deep Learning Methods for Medical Image Analysis حسب Yaopeng Peng (19778394)

"…However, it presents significant challenges due to the inherent complexity of the human body, as well as variability in image acquisition techniques, noise, and artifacts. …"

Confusion matrix of CIC-IDS2017 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of NSL-KDD dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of CSE-CIC-IDS2018 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"