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ENTITY Benjamini–Hochberg procedure

Benjamini–Hochberg procedure

PulseAugur coverage of Benjamini–Hochberg procedure — every cluster mentioning Benjamini–Hochberg procedure across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_286869 ·

    New CoT verification method offers distribution-free guarantees

    Researchers have developed a new method for verifying the correctness of chain-of-thought (CoT) traces in AI models, focusing on distribution-free guarantees at small calibration budgets. The study found that a common c…

  2. TOOL · CL_244779 ·

    UC Berkeley researchers develop bandit-based pruning for transformers

    Researchers from the University of California, Berkeley have developed a novel method for pruning large transformer models, including those used in vision and language tasks. This technique, framed as a damage-aware mul…

  3. TOOL · CL_147810 ·

    New Python package ROOFS aids biomarker feature selection in clinical trials

    Researchers have developed ROOFS, a Python package designed to assist biomedical researchers in selecting appropriate feature selection methods for biomarker discovery and clinical predictive modeling. The package bench…

  4. RESEARCH · CL_143706 ·

    AI equity forecasting benchmark reveals LoRA-adapted TimesFM lacks directional skill

    A new research paper challenges the effectiveness of large language models like TimesFM for equity forecasting, particularly when using LoRA adapters. The study introduces a base-rate-honest benchmark to expose how seem…

  5. TOOL · CL_133591 ·

    New method rwMagLap identifies circadian regulators for arrhythmic pituitary genes

    Researchers have developed a novel method called rwMagLap to identify potential circadian regulators for pituitary hormone genes that lack a clear 24-hour rhythm. This technique constructs a graph of rhythmic genes and …

  6. RESEARCH · CL_128433 ·

    Wavelet Scattering Transform identifies schizophrenia biomarkers in EEG data

    Researchers have developed a novel framework using the Wavelet Scattering Transform (WST) to identify biomarkers for schizophrenia from resting-state EEG data. This method addresses limitations of previous approaches by…