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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
A benchmark of 35 soft decision-making algorithms based on fuzzy parameterized fuzzy soft matrices. The evaluation used the FPFS-CMC classifier across ten UCI datasets, assessing performance with accuracy, precision, recall, specificity, and F1-score. The dataset, authored by Ömer Karakoç and shared under CC-BY-4.0, was last updated on May 13, 2026.
A benchmark evaluation of 35 soft decision-making algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). The study uses the FPFS-CMC classifier to rank algorithms across ten datasets from the UCI Machine Learning Repository, assessing performance with metrics like accuracy, precision, recall, specificity, and F1-score. The dataset, created by Ömer Karakoç and last updated in May 2026, provides the comparative results in an XLS file.
A benchmark study evaluates 35 soft decision-making algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). The algorithms were assessed using the FPFS-CMC classifier across ten datasets from the UCI Machine Learning Repository, with performance measured by accuracy, precision, recall, specificity, and F1-score. The research, authored by Ömer Karakoç and last updated in May 2026, identifies top-performing algorithms like A19 and YHX14.
Ömer Karakoç published a study on 2026-05-13 evaluating 35 soft decision-making algorithms based on fuzzy parameterized fuzzy soft matrices. The research benchmarks these algorithms across ten datasets from the UCI Machine Learning Repository using metrics like accuracy, precision, recall, specificity, and F1-score. Statistical significance was confirmed using Friedman and Nemenyi tests.
35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices) were benchmarked across ten datasets from the UCI Machine Learning Repository. The evaluation, conducted by Ömer Karakoç and last updated in May 2026, used metrics like accuracy, precision, recall, specificity, and F1-score, with statistical significance confirmed via Friedman and Nemenyi tests. The dataset, shared under a CC-BY-4.0 license, identifies top-performing algorithms such as A19 and YHX14.
Evangelos Pournaras authored the software artifact for I-EPOS, the Iterative Economic Planning and Optimized Selections algorithm. This artifact likely contains data or code related to a collective learning method for decentralized combinatorial optimization problems. The dataset is hosted on the EPOS project website.
Xavier Bonet-Monroig from Leiden University provides code and data to reproduce plots from a manuscript comparing optimization methods. The repository likely contains performance metrics from computational experiments on variational quantum algorithms. This data supports reproducibility for research in quantum computing optimization.
Experimental and simulated scattered light intensity distributions from a 30 mm cuvette illuminated with a 473 nm laser beam. The cuvette contained an aqueous dispersion of 0.5 µm polystyrene spheres at optical depths ranging from 0 to 15. David Frantz created this dataset, with simulations performed using Multi-scattering.
Experimental and simulated scattered light intensity distributions from a 30 mm cuvette illuminated by a 473 nm laser. The data includes measurements from an aqueous dispersion of 4.94 µm polystyrene spheres across optical depths from 0 to 17.5. The dataset was created by David Frantz using Multi-scattering simulations.
Konstantin Sidorov from Delft University of Technology created this dataset for the experimental evaluation in the paper "Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths" submitted to AAAI-24. The dataset likely contains instances of constrained shortest path problems. Its size, specific format, and number of rows are not detailed in the available metadata.
Wei Qian of the Chinese Academy of Sciences provides data for a study on thunderstorm activity. The data likely contains statistical characteristics derived from a five-year cloud-to-ground lightning dataset for the middle reaches of the Yangtze River Basin. The specific variables, row count, and file formats are not detailed in the available metadata.
Data and computer codes from the paper 'A stochastic multi-scale model of Francisella tularensis infection' published in Frontiers in Microbiology. The dataset is associated with research by Jonathan Carruthers from the University of Leeds.
An automated theorem prover for a class of logics, developed by Giulia Sindoni at the University of Leeds. The dataset includes a set of axioms and propositions valid in the logic. The temporal coverage and dataset size are unspecified.
Computer codes authored by Martín López‐García from the University of Leeds for reproducing results from a paper in the Journal of the Royal Society Interface. The codes implement a unified stochastic modelling framework for the spread of hospital-acquired infections. The specific data formats, size, and last update date are unknown.
A supplementary dataset of simulation results for capillary fiber-based refractometer sensitivity. It contains approximately 40,150 absolute sensitivity values across a 4D parametric space of cone angle, collapsed length, and sensing medium refractive index. The data was authored by Ardi Rahman and last updated in April 2026.
Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 5 provides yearly melt onset dates derived from satellite microwave radiometer measurements. The data are gridded on a 25 km Northern Hemisphere Polar Stereographic projection and include value-added statistics like mean, earliest, latest, range, and standard deviation of melt dates per grid cell. One browse image is available for each yearly file and statistical field.
A 73.1 MB repository of data and scripts for analyzing courtship ultrasonic vocalizations (USVs) in male mice. The dataset includes raw data, R scripts, and rendered HTML reports to reproduce the analyses from the manuscript "Linking Quantity and Acoustic Properties of Courtship Vocalizations in Male Mice" by Kono and Kanno. The repository was last updated on May 4, 2026.
Statistics from the Quebec public service cover aspects of workplace health including prevention management, conflict resolution, employee assistance programs, disability management, and retention. The data is published by the Government and Municipalities of Québec under a CC-BY-4.0 license and was last updated on April 17, 2026.
BioConfoundBench is a memorization-proof, objectively-graded benchmark for machine learning in biology. It measures a model's ability to recover a true relatedness unit that is masked by a dominant confounder when the obvious similarity signal is misleading. The dataset was created by author 'silterra' and was last updated on Hugging Face in July 2026.
dspy-security-bench trainset (v0.1) is a synthetic dataset containing 192 query and ground-truth pairs. It was created by author immu4989 and last updated on June 29, 2026. The dataset is grounded in the AgentDojo workspace suite's default environment, which includes a calendar, inbox, and files.