User profiles for Tsviel Ben Shabat
 | Tsviel Ben ShabatStatistics M.Sc., Technion Verified email at campus.technion.ac.il Cited by 23 |
Empirical bayes approach to truth discovery problems
When aggregating information from conflicting sources, one’s goal is to find the truth. Most
real-value truth discovery (TD) algorithms try to achieve this goal by estimating the …
real-value truth discovery (TD) algorithms try to achieve this goal by estimating the …
Comparing COVID-19 and influenza presentation and trajectory
…, JA Sobel, R Almog, S Lugassy, T Ben Shabbat… - Frontiers in …, 2021 - frontiersin.org
Background: COVID-19 is a newly recognized illness with a predominantly respiratory
presentation. It is important to characterize the differences in disease presentation and trajectory …
presentation. It is important to characterize the differences in disease presentation and trajectory …
Frustratingly easy truth discovery
Truth discovery is a general name for a broad range of statistical methods aimed to extract
the correct answers to questions, based on multiple answers coming from noisy sources. For …
the correct answers to questions, based on multiple answers coming from noisy sources. For …
[PDF][PDF] At the dawn of winter: comparing covid-19 and influenza presentation and trajectory
…, JA Sobel, R Almog, S Lugassy, TB Shabbat… - medRxiv, 2020 - researchgate.net
Background: COVID-19 is a newly recognized illness with a predominantly respiratory
presentation. As winter approaches in the northern hemisphere, it is important to characterize the …
presentation. As winter approaches in the northern hemisphere, it is important to characterize the …
[PDF][PDF] Frustratingly Easy Truth Discovery for Rank Aggregation1
Truth discovery is a general name for a broad range of statistical methods aimed to extract
the correct answers to questions, based on multiple answers coming from noisy sources. For …
the correct answers to questions, based on multiple answers coming from noisy sources. For …
Empirical Bayes approach to Truth Discovery problems
When aggregating information from conflicting sources, one's goal is to find the truth. Most
real-value\emph {truth discovery}(TD) algorithms try to achieve this goal by estimating the …
real-value\emph {truth discovery}(TD) algorithms try to achieve this goal by estimating the …
Descriptive characteristics of continuous oximetry measurement in moderate to severe covid-19 patients
Non-invasive oxygen saturation (SpO2) is a central vital sign used to shape the management
of COVID-19 patients. Yet, there have been no report quantitatively describing SpO2 …
of COVID-19 patients. Yet, there have been no report quantitatively describing SpO2 …
Measuring annotator agreement generally across complex structured, multi-object, and free-text annotation tasks
When annotators label data, a key metric for quality assurance is inter-annotator agreement
(IAA): the extent to which annotators agree on their labels. Though many IAA measures exist …
(IAA): the extent to which annotators agree on their labels. Though many IAA measures exist …
Stability of Weighted Majority Voting under Estimated Weights
Weighted Majority Voting (WMV) is a well-known optimal decision rule for collective
decision making, given the probability of sources to provide accurate information (trustworthiness). …
decision making, given the probability of sources to provide accurate information (trustworthiness). …
Aggregating complex annotations via merging and matching
Human annotations are critical for training and evaluating supervised learning models, yet
annotators often disagree with one another, especially as annotation tasks increase in …
annotators often disagree with one another, especially as annotation tasks increase in …