The MIT Open Access Articles collection consists of scholarly articles written by MIT-affiliated authors that are made available through DSpace@MIT under the MIT Faculty Open Access Policy, or under related publisher agreements. Articles in this collection generally reflect changes made during peer-review.

Version details are supplied for each paper in the collection:

  • Original manuscript: author's manuscript prior to formal peer review
  • Author's final manuscript: final author's manuscript post peer review, without publisher's formatting or copy editing
  • Final published version: final published article, as it appeared in a journal, conference proceedings, or other formally published context (this version appears here only if allowable under publisher's policy)

Some peer-reviewed scholarly articles are available through other DSpace@MIT collections, such as those for departments, labs, and centers.

More information:

Recent Submissions

  • Global maxwell tomography using an 8-channel radiofrequency coil: Simulation results for a tissue-mimicking phantom at 7T 

    Serrallés, José E.C.; Daniel, Luca; White, Jacob K. (IEEE, 2019-07)
    We simulated a Global Maxwell Tomography experiment for the estimation of electrical properties in a numerical tissue-mimicking phantom using a decoupled 8 channel radiofrequency coil designed for 7 Tesla magnetic resonance ...
  • Robust Budget Allocation Via Continuous Submodular Functions 

    Staib, Matthew; Jegelka, Stefanie Sabrina (Springer Science and Business Media LLC, 2019-03)
    The optimal allocation of resources for maximizing influence, spread of information or coverage, has gained attention in the past years, in particular in machine learning and data mining. But in applications, the parameters ...
  • Human-in-the-loop Outlier Detection 

    Chai, Chengliang; Cao, Lei; Li, Guoliang; Li, Jian; Luo, Yuyu; e.a. (Association for Computing Machinery (ACM), 2020-05)
    Outlier detection is critical to a large number of applications from finance fraud detection to health care. Although numerous approaches have been proposed to automatically detect outliers, such outliers detected based ...

View more