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Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning

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The Effect of Information Disclosure on Industry Payments to Physicians

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Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

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Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19

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A Review on Data-Driven Security Assessment of Power Systems: Trends and Applications of Artificial Intelligence

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Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding

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A Review of Air Quality Modeling

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Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction

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Sparse and Low-Rank Tensor Estimation via Cubic Sketchings

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Attacking the Opioid Epidemic: Determining the Epistatic and Pleiotropic Genetic Architectures for Chronic Pain and Opioid Addiction

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A blood-based metabolomic signature predictive of risk for pancreatic cancer

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An experimental manipulation of the value of effort

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Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images

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The interactive natural drivers of global geogenic arsenic contamination of groundwater

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Learning stable and predictive structures in kinetic systems

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Machine Learning algorithm unveils glutamatergic alterations in the post-mortem schizophrenia brain

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Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics

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A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

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Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission

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Are OpenStreetMap building data useful for flood vulnerability modelling?

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Murine Gut Microbiome Meta-analysis Reveals Alterations in Carbohydrate Metabolism in Response to Aging

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A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms

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Nontargeted metabolomics-based multiple machine learning modeling boosts early accurate detection for citrus Huanglongbing

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Snow cover dynamics: an overlooked yet important feature of winter bird occurrence and abundance across the United States

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Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child Neurodevelopment

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Identifying proteomic risk factors for overall, aggressive, and early onset prostate cancer using Mendelian Randomisation and tumour spatial transcriptomics

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A powerful machine learning approach to identify interactions of differentially abundant gut microbial subsets in patients with metastatic and non-metastatic pancreatic cancer

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Using a hierarchical model framework to investigate the relationships between fish spawning and abiotic factors for environmental flow management

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A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial

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Prenatal Lead Exposure Is Associated with Reduced Abundance of Beneficial Gut Microbial Cliques in Late Childhood: An Investigation Using Microbial Co-Occurrence Analysis (MiCA)

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Hybrid model for efficient prediction of poly(A) signals in human genomic DNA

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Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia

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Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies

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HDSI: High dimensional selection with interactions algorithm on feature selection and testing

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Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials

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Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests

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Correlates of past year suicidal thoughts among sexual and gender minority young adults: A machine learning analysis.

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Theory of Random Forests

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Complex 33-beam simulated galactic cosmic radiation exposure impacts cognitive function and prefrontal cortex neurotransmitter networks in male mice

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An Oral Microbial Biomarker for Early Detection of Recurrence of Oral Squamous Cell Carcinoma

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Structural variants identified using non-Mendelian inheritance patterns advance the mechanistic understanding of autism spectrum disorder

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The Holdout Randomization Test for Feature Selection in Black Box Models

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Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending

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An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence

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Novel and Emerging Capabilities that Can Provide a Holistic Understanding of the Plant Root Microbiome

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Quantum biological insights into CRISPR-Cas9 sgRNA efficiency from explainable-AI driven feature engineering

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An empirical investigation into intelligent cost analysis in purchasing

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Chemical signatures to identify the origin of solid ashes for efficient recycling using machine learning

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Selection of Optimal Cell Lines for High-Content Phenotypic Screening

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Refining interaction search through signed iterative Random ForestsPreprint

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Signed iterative random forests to identify enhancer-associated transcription factor bindingPreprint

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Provable Boolean interaction recovery from tree ensemble obtained via random forests

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