ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System by Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

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Graph convolutional network model with a feature compensation module and dual-channel second-order pooling module for multimodal emotion recognition in conversation by Xiaocong Tan, Zhengze Gong, Mengkun Gan, Weijie Xie, Wenhui Wang

“…However, some information modalities may be absent in real-world applications and information from various modalities may be difficult to integrate. Therefore, a suitable strategy is required to compensate for missing modalities by using information from the available modalities and prioritizing important information. …”
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Predicting future occlusion or stenosis of lower extremity bypass grafts using artificial intelligence to simultaneously analyze all flow velocities collected in current and previo... by Xiao Luo, PhD, Fattah Muhammad Tahabi, BS, Dave M. Rollins, RVT, Alan P. Sawchuk, MD

“…We excluded the examinations with missing values and split our data into training and test sets. …”
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PM2.5 Time Series Imputation with Moving Averages, Smoothing, and Linear Interpolation by Anibal Flores, Hugo Tito-Chura, Osmar Cuentas-Toledo, Victor Yana-Mamani, Deymor Centty-Villafuerte

“…In this work, a novel model for hourly PM2.5 time series imputation is proposed for the estimation of missing values in different gap sizes, including 1, 3, 6, 12, and 24 h. …”
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Differential Expression of Serum Proteins in Rats with Allergic Asthma: A Study Based on the Nanoliter Two-Dimensional Liquid Chromatography Technique by Xingke Yan, Ao Zhang, Lu Yu, Cheng Chen, Haifu Cui

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mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statis... by Tomas Vetrovsky, Norbert Kral, Marketa Pfeiferova, Bohumil Seifert, Vaclav Capek, Katerina Jurkova, Michal Steffl, Richard Cimler, Jitka Kuhnova, Tess Harris, Michael Ussher, Charlotte Wahlich, Katerina Malisova, Jana Pelclova, Jan Dygryn, Steriani Elavsky, Iris Maes, Delfien Van Dyck, Alex Rowlands, Tom Yates

“…The primary analysis follows the intention-to-treat principle, using mixed models for repeated measures. Missing data will be handled under the missing-at-random assumption, with sensitivity analyses exploring robustness through reference-based multiple imputation. …”
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Video prediction based on temporal aggregation and recurrent propagation for surveillance videosThe datasets analysed during the current study are available in the weblink reposito... by Mohana Priya P, UlagaPriya K

“…Surveillance video datasets demonstrate substantial enhancements in predictive accuracy, highlighting the strength and efficacy of the suggested strategy in practical application. • The proposed method integrates bidirectional video prediction, temporal aggregation, and recurrent propagation to effectively reconstruct missing intermediate video frames with enhanced accuracy. • Comparative analysis using the UCF-Crime dataset demonstrates higher PSNR and SSIM values for the proposed method, indicating improved frame quality and temporal consistency over existing techniques. • This research provides a robust framework for future advancements in video frame prediction, contributing to applications in anomaly detection, surveillance, and video restoration.…”
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Multichannel Aligned Feature Fusion Method for Salient Object Detection in Optical Remote Sensing Images by Weining Zhai, Liejun Wang, Panpan Zheng, Lele Li

“…Specifically, the Neighbourhood Feature Co-Extractor (NFCoE) is designed between the encoder and the decoder to utilize features from neighbouring layers to complement the missing semantic information as well as the detail information within the current layer, thus ensuring the integrity of the structure. …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

“…The novelty of this work lies in the integration of explainable AI with robust preprocessing and age-specific modeling across multiple ASD datasets, addressing both diagnostic accuracy and clinical interpretability. …”
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‘Lamina External Graft Overlay’: The Use of Segmented Xenogenic Bone Sheets in the Reconstruction of 3D Bone Defects by Roberto Rossi, Fabrizio Bambini, Claudia Dellavia, Dolaji Henin, Lucia Memè

“…Histological analysis performed on one site showed integration of the bone lamina and live bone underneath. …”
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learn... by Yekai Zhou, Celia Jiaxi Lin, Qiuyan Yu, Joseph Edgar Blais, Eric Yuk Fai Wan, Emmanuel Wong, Kathryn Tan, David Chung-Wah Siu, Kai Hang Yiu, Esther Wai Yin Chan, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui

“…We employed XGBoost Cox model and multivariate imputation with chained equation (MICE) for derivation and missing data replacement. A basic model was developed with the integration of statistically significant and important subset of risk variables by least absolute shrinkage and selection operator (LASSO) regression. …”
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Prognostic value of the Geriatric Nutritional Risk Index in mortality prediction among critically ill acute myocardial infarction patients by Shanshan Tang, Chengcheng Wu, Yanbin Su, Yongle Li

“…Sensitivity analyses, including propensity score matching (PSM), inverse probability weighting (IPW), and dropping missing data analysis validated the robustness of findings. …”
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Efficacy of sacituzumab govitecan versus treatment of physician’s choice in previously treated HR+ and HER2− mBC: a meta-analysis of TROPiCS-02 and EVER-132-002 trials by Oleg Gluz, Binghe Xu, Rita Nanda, Anandaroop Dasgupta, Ankita Kaushik, Wendy Verret, Akanksha Sharma, Barinder Singh, Hope S. Rugo

“…IPD from the trials were assessed for integrity, consistency, imbalances, or missing values and were combined to estimate pooled and relative treatment effects for comparison of overall survival (OS), progression-free survival (PFS), duration of response (DOR), objective response rate (ORR), and clinical benefit rate (CBR) in the overall, cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) pre-treated, and fast-progressors population (defined as the subgroup of patients with duration of prior CDK4/6i ⩽12 months). …”
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Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting by Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi

“…The forecasting header includes a meta-learning fusion module and a spatiotemporal convolutional layer, which facilitates the integration of both long-term and short-term traffic data for accurate forecasting. …”
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Service Quality Assessment of Digital Health Solutions in Outpatient Care: Qualitative Item Repository Development Study by Dominik Rigo, Leonard Fehring, Achim Mortsiefer, Sven Meister

“… BackgroundThe integration of digital health solutions (DHSs) into health care systems has the potential to significantly enhance service delivery and health outcomes. …”
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Understanding Loneliness in an Aging Population of San Vito de Coto Brus, Costa Rica by Nicholas Leahy, Melissa Rallo, Lillianna Pedersen, Christine Wan, Hima Konduru, Shania Bailey, Alexis Vetack, Wendel Mora, Shailvi Gupta, Carlos Faerron Guzmán

“…Given the associations that were found in this preliminary study, it is pivotal to explore loneliness in this community with a larger sample size—potentially through the integration of the country’s Equipos Básicos de Atención Integral de Salud (EBAIS) healthcare system. …”
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Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…This study introduces an advanced, tightly coupled GNSS/5G/IMU integration framework designed for distributed PNT systems, providing all-source fault detection with weighted, robust adaptive filtering. …”
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Spatiotemporal analysis of ocean primary productivity in Bohai Sea estimated using improved DINEOF reconstructed MODIS data by Shuhan Jia, Linlin Bei, Yu Li, Quanhua Zhao

“…First, a new time-scale feature was defined for effectively preserving spatiotemporal characteristics during the reconstruction of missing remote sensing data. The proposed algorithm, which integrates MS-DINEOF for reconstructing sea surface temperature, chlorophyll-a concentration, photosynthetically active radiation, and diffuse attenuation coefficient at 490 nm data, with VGPM for OPP estimation, was implemented for the Bohai Sea from 2010 to 2021. …”
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MDGAIN-IFC: An intelligent construction method for full/refined benchmark dataset of postpartum hemorrhage based on MDGAIN and information fidelity by Xiaodan Li, Yue Zhou, Fengchun Gao, Di Cheng, Wushan Li, Kaijian Xia, Hongsheng Yin

“…In this study, we propose a PPH Full/Refined (F/R) Dataset construction framework integrating Missing Data Generative Adversarial Imputation Networks (MDGAIN) and Information Fidelity Criterion (IFC). …”
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Propagating uncertainty in urban tree trait measurements to estimate socioeconomic inequities in ecosystem service accessibility: A machine learning and simulation framework by Jaime Francisco Pereña-Ortiz, Ángel Enrique Salvo-Tierra, Pablo Cozano-Pérez, Ángel Ruiz-Valero

“…This study presents a methodological framework for propagating uncertainty in ecosystem services estimation with i-Tree. The approach integrates machine learning models to impute missing data and employs copulas and Monte Carlo simulations to assess the impact of trait uncertainty on provision. …”
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