What is Problem Mining? This is a tool based on data of arXiv.org which periodically scans packets of full texts of papers hosted on arXiv and available through arXiv's bulk data access policy, with the aim to automatically detect papers containing discussions on open problems or conjectures. It then creates a list from the detected papers putting together papers' descriptive data and some short snippets extracted from the full texts displaying an information on open problems or conjectures presented in the paper. The papers appearing on this list are only references to the arXiv's versions and we do NOT store the actual papers (TeX sources or PDFs) on our servers. To read any of the papers in this list one needs to follow the arXiv link displayed on the papers' blocks.

You can search within the list using keywords, author names, and subject area. By a simple click of the Interesting button, you may anonymously indicate your interest in the problem. If you think the automatic extraction resulted in incorrect data, you may click on the False positive button instead. The Stats section shows the worldwide interest by our users on a specific problem.

  • Conjugation of semisimple subgroups over real number fields of bounded degree


    year of publication: 2018 arXiv

    • Algebraic Geometry
    • Group Theory
    • Number Theory

    MSC 2010: 11E72 20G30

  • Hidden spin current in doped Mott antiferromagnets


    year of publication: 2018 arXiv

    • Strongly Correlated Electrons
  • Contrast Subgraph Mining from Coherent Cores


    year of publication: 2018 arXiv

    • Social and Information Networks
  • Characterization of Type Ia Supernova Light Curves Using Principal Component Analysis of Sparse Functional Data


    year of publication: 2018 arXiv

    • Cosmology and Nongalactic Astrophysics
    • High Energy Astrophysical Phenomena
    • Solar and Stellar Astrophysics
  • Continuous dependence of the pressure field with respect to endpoints for ideal incompressible fluids


    year of publication: 2018 arXiv

    • Analysis of PDEs
    • Optimization and Control
  • The BCS-BEC crossover: From ultra-cold Fermi gases to nuclear systems


    year of publication: 2018 arXiv

    • Quantum Gases
    • Strongly Correlated Electrons
    • Superconductivity
  • Parameterized Algorithms for Zero Extension and Metric Labelling Problems


    year of publication: 2018 arXiv

    • Data Structures and Algorithms
    • Discrete Mathematics

    MSC 2010: 68W01

  • A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning


    year of publication: 2018 arXiv

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Machine Learning
  • A Parameterized Strongly Polynomial Algorithm for Block Structured Integer Programs


    year of publication: 2018 arXiv

    • Data Structures and Algorithms
  • A Treatise on Information Geometry


    year of publication: 2018 arXiv

    • Differential Geometry
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