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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=reproducibility">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=reproducibility]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for reproducibility]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/338/Data-Provenance-Management-for-Earth-Science-Reproducibility"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/952/Post-Quantum-Error-Correction-for-Quantum-Annealers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/512/Provenance-Artifact-Identification-in-the-Atmospheric-Composition-Processing-System-ACPS-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/310/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/330/Provenance-Challenges-for-Earth-Science"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments">
  <title><![CDATA[PROB:  A tool for Tracking Provenance and Reproducibility of Big Data Experiments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments</link>
  <description><![CDATA[Reproducibility of computations and data provenance are very important goals to achieve in order to improve the quality of one's research.  Unfortunately, despite some efforts made in the past, it is still very hard to reproduce computational experiments with high degree of certainty.  The Big Data phenomenon in recent years makes this goal even harder to achieve.  In this work, we propose a tool that aids researchers to improve reproducibility of their experiments through automated keeping o...]]></description>
  <dc:date>2014-02-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows through Tracking and Representation of Provenance]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance</link>
  <description><![CDATA[Reproducibility of results is a key tenet of science. Some modern scientific domains, such as Earth Science, have become computationally complicated and, particularly with the advent of higher resolution space based remote sensing platforms, tremendously data intensive. Over the last few decades, these complexities along with the the rapid advancement of the state of the art confound the goal of scientific transparency.
This thesis explores concepts of data identification, organization, equi...]]></description>
  <dc:date>2011-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows with Provenance Equivalence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence</link>
  <description><![CDATA[Reproducibility of results is a key tenet of science.  Some modern scientific domains, such as Earth Science, have become computationally complicated and, particularly with the advent of higher resolution space based remote sensing platforms, tremendously data intensive.  Over the last few decades, these complexities along with the the rapid advancement of the state of the art confound the goal of scientific transparency.

We explore concepts of data identification, organization, equivalenc...]]></description>
  <dc:date>2011-02-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/338/Data-Provenance-Management-for-Earth-Science-Reproducibility">
  <title><![CDATA[Data Provenance Management for Earth Science Reproducibility]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/338/Data-Provenance-Management-for-Earth-Science-Reproducibility</link>
  <description><![CDATA[A fundamental aspect of all science is reproducibility.  In the past
few decades, Earth Science has been increasingly based on remote
sensing (aircraft, satellites, ocean buoy sensors, etc.) that have
produced tremendous volumes of data.  There is often a long chain of
complex processing steps that ultimately lead to published science.
Understanding the processing chain, and maintaining scientific
reproducibility of results is a major challenge.

We are constructing a model of scienti...]]></description>
  <dc:date>2010-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems">
  <title><![CDATA[Provenance Tracking in Climate Science Data Processing Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems</link>
  <description><![CDATA[NASA, NOAA, ESA and other organizations involved with climate research
have captured huge archives of earth observations.  Over time, the
sensors, spacecraft, science algorithms for transforming and analyzing
the data and the processing frameworks have all evolved.  Tracking the
complete provenance information in concert with the science data used
in research and ultimately, policy decisions is a tremendously
complicated problem.  Data are stored in multiple archives across
multiple ag...]]></description>
  <dc:date>2008-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance">
  <title><![CDATA[ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance</link>
  <description><![CDATA[Virtual Mental Health Assistants (VMHAs) are utilized in health care to provide patient services such as counseling and suggestive care. They are not used for patient diagnostic assistance because they cannot adhere to safety constraints and specialized clinical process knowledge (ProKnow) used to obtain clinical diagnoses. In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. W...]]></description>
  <dc:date>2023-01-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers">
  <title><![CDATA[Multi-Qubit Correction for Quantum Annealers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers</link>
  <description><![CDATA[We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with a lower energy value.  After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels — i.e., a group of qubits that changing their states simultaneously can result in a new state with a lower energy ...]]></description>
  <dc:date>2021-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/952/Post-Quantum-Error-Correction-for-Quantum-Annealers">
  <title><![CDATA[Post-Quantum Error-Correction for Quantum Annealers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/952/Post-Quantum-Error-Correction-for-Quantum-Annealers</link>
  <description><![CDATA[We present a general post-quantum error-correcting technique for quantum annealing, called multi-qubit correction (MQC), that views the evolution in an open-system as a Gibbs sampler and reduces a set of (first) excited states to a new synthetic state with lower energy value. After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels—i.e., a group of qubits that changing their states simultaneously can result in a n...]]></description>
  <dc:date>2020-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments">
  <title><![CDATA[PROB: A tool for Tracking Provenance and Reproducibility of Big Data Experiments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments</link>
  <description><![CDATA[Reproducibility of computations and data provenance are very important goals to achieve in order to improve the quality of one's research. Unfortunately, despite some efforts made in the past, it is still very hard to reproduce computational experiments with high degree of certainty. The Big Data phenomenon in recent years makes this goal even harder to achieve. In this work, we propose a tool that aids researchers to improve reproducibility of their experiments through automated keeping of p...]]></description>
  <dc:date>2014-03-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/512/Provenance-Artifact-Identification-in-the-Atmospheric-Composition-Processing-System-ACPS-">
  <title><![CDATA[Provenance Artifact Identification in the Atmospheric                   Composition Processing System (ACPS)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/512/Provenance-Artifact-Identification-in-the-Atmospheric-Composition-Processing-System-ACPS-</link>
  <description><![CDATA[The Atmospheric Composition Processing System
(ACPS) evolved from the heritage processing systems
currently processing ozone data at NASA, Goddard
Space Flight Center. The ACPS includes complete
provenance tracking of the various artifacts related to
data processing. These include the data transformation
algorithms and all data in the system, both inputs from
external sources and data produced within the system.
Other artifacts include the hardware and software of the
processing fram...]]></description>
  <dc:date>2010-02-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances">
  <title><![CDATA[SOAR: A System for the Analysis of Atmospheric Radiances]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances</link>
  <description><![CDATA[AB: We have used a Service Oriented Architecture (SOA) approach to develop a system to produce multi-year, multi-sensor gridded atmospheric radiances on-demand. NASA's Aqua spacecraft launched in 2002 and has provided 5 years of calibrated atmospheric radiances from the AIRS, AMSU and MODIS instruments that are available through SOAR. The system utilizes an IBM power pc compute cluster consisting of a 44 dual and quad blade system. The high resolution spatial, temporal and hyperspectral array...]]></description>
  <dc:date>2007-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility">
  <title><![CDATA[Data Provenance Management for Earth Science Reproducibility]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility</link>
  <description><![CDATA[Presentation slides for talk.]]></description>
  <dc:date>2010-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/310/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows through Tracking and Representation of Provenance]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/310/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance</link>
  <dc:date>2011-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/330/Provenance-Challenges-for-Earth-Science">
  <title><![CDATA[Provenance Challenges for Earth Science]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/330/Provenance-Challenges-for-Earth-Science</link>
  <dc:date>2011-11-04</dc:date>
 </item>
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