Experts’ assessment regarding the level of difficulty of parameter estimation in their case study (numbers indicate how often a score was given).

How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions

Servin, Christian
Jaimes, Aline
Tweedie, Craig
Velasco, Aaron A.
Ochoa, Omar
Kreinovich, Vladik

July 2013

To properly process data, we need to know the accuracy of different data points, i.e., accuracy of d...

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Finding Test Very/Extremely Influential on 5-point Likert Scale.

Rosemary C. She (713095)
Sally Alrabaa (713096)
Seung Heon Lee (713097)
Meghan Norvell (713098)
Andrew Wilson (23322)
Cathy A. Petti (713099)

March 2015

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Fi...

Comparison of the performance between human experts and presented method (signed error and unsigned error in pixels).

Xiayu Xu (297078)
Joseph M. Reinhardt (297079)
Qiao Hu (297080)
Benjamin Bakall (297081)
Paul S. Tlucek (297083)
Geir Bertelsen (297085)
Michael D. Abràmoff (297087)

February 2013

and denote the two human experts. denotes the presented method. denotes the average measureme...

Experts’ assessment of the uncertainty of parameter estimates in their case study (numbers indicate how often a score was given).

Christelle Robinet (128355)
Hella Kehlenbeck (128359)
Darren J. Kriticos (128363)
Richard H. A. Baker (128366)
Andrea Battisti (52365)
Sarah Brunel (128369)
Maxime Dupin (128375)
Dominic Eyre (128381)
Massimo Faccoli (128385)
Zhenya Ilieva (128389)
Marc Kenis (128392)
Jon Knight (128395)
Philippe Reynaud (128399)
Annie Yart (128402)
Wopke van der Werf (128405)

October 2012

Experts’ assessment of the uncertainty of parameter estimates in their case study (numbers indica...

Experts’ feedback on the suitability of four models in practical pest risk assessment based on their experience on specific case studies (numbers indicate how often a score was given).

Christelle Robinet (128355)
Hella Kehlenbeck (128359)
Darren J. Kriticos (128363)
Richard H. A. Baker (128366)
Andrea Battisti (52365)
Sarah Brunel (128369)
Maxime Dupin (128375)
Dominic Eyre (128381)
Massimo Faccoli (128385)
Zhenya Ilieva (128389)
Marc Kenis (128392)
Jon Knight (128395)
Philippe Reynaud (128399)
Annie Yart (128402)
Wopke van der Werf (128405)

October 2012

Experts’ feedback on the suitability of four models in practical pest risk assessment based on th...

Teachers' and students' perceptions of assessments: A review and a study into the ability and accuracy of estimating the difficulty levels od assessment items

van de Watering, G.

January 2006

In today's higher education, high quality assessments play an important role. Little is known, howev...

Results of experts’ judgments regarding the importance of hazard assessment indices.

Fang Yan (134746)
Kaili Xu (3147036)

January 2017

Results of experts’ judgments regarding the importance of hazard assessment indices.</p

The parameter complexity of different models and the number of parameters they actually use.

Xuanyu Li (9323619)
Xuan Zhang (56049)
Wenduo He (14573265)
Deliang Bu (14573268)
Sanguo Zhang (1390083)

February 2023

The parameter complexity of different models and the number of parameters they actually use.</p

Improve Expert Estimation Process. Practice Assessment And Proposals For A Consultant Company.

Reidar Conradi Idi
Li Jingyue Idi
Knut Drange
Knut Drange

January 2007

Estimation of software development effort for a company can be quite difficult. When people are usin...

Quantification for complex assessment: uncertainty estimation in final year project thesis assessment

Kim, Ho Sung

January 2013

A quantitative method for estimating an expected uncertainty (reliability and validity) in assessmen...

Technical Folio

January 2016

Assessment judges the value of one’s ability or quality, and value judgments require special referen...

Evaluating Expert Estimators Based on Elicited Competences

Hrvoje Karna
Sven Gotovac

July 2015

Utilization of expert effort estimation approach shows promising results when it is applied to softw...

Expert analytic versus intuitive thinking.

Thomas McAndrew (153296)
Nicholas G. Reich (7962266)

September 2022

Experts’ self-assessed percentage of analytic vs. intuitive thinking when making predictions, report...

Calibrating experts’ probabilistic assessments for improved probabilistic predictions

Hanea, A.M. (author)
Nane, G.F. (author)

January 2019

Expert judgement is routinely required to inform critically important decisions. While expert judgem...

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Nicholas Bien (6013715)
Pranav Rajpurkar (5993015)
Robyn L. Ball (3682054)
Jeremy Irvin (5993018)
Allison Park (6013718)
Erik Jones (6013721)
Michael Bereket (6013724)
Bhavik N. Patel (5993042)
Kristen W. Yeom (753979)
Katie Shpanskaya (5993045)
Safwan Halabi (6013727)
Evan Zucker (6013730)
Gary Fanton (6013733)
Derek F. Amanatullah (6013736)
Christopher F. Beaulieu (6013739)
Geoffrey M. Riley (6013742)
Russell J. Stewart (1899409)
Francis G. Blankenberg (5993048)
David B. Larson (6013745)
Ricky H. Jones (6013748)
Curtis P. Langlotz (5993039)
Andrew Y. Ng (5403176)
Matthew P. Lungren (4536982)

November 2018

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...

How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions

Servin, Christian
Jaimes, Aline
Tweedie, Craig
Velasco, Aaron A.
Ochoa, Omar
Kreinovich, Vladik

July 2013

To properly process data, we need to know the accuracy of different data points, i.e., accuracy of d...

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Finding Test Very/Extremely Influential on 5-point Likert Scale.

Rosemary C. She (713095)
Sally Alrabaa (713096)
Seung Heon Lee (713097)
Meghan Norvell (713098)
Andrew Wilson (23322)
Cathy A. Petti (713099)

March 2015

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Fi...

Comparison of the performance between human experts and presented method (signed error and unsigned error in pixels).

Xiayu Xu (297078)
Joseph M. Reinhardt (297079)
Qiao Hu (297080)
Benjamin Bakall (297081)
Paul S. Tlucek (297083)
Geir Bertelsen (297085)
Michael D. Abràmoff (297087)

February 2013

and denote the two human experts. denotes the presented method. denotes the average measureme...

Experts’ assessment of the uncertainty of parameter estimates in their case study (numbers indicate how often a score was given).

Christelle Robinet (128355)
Hella Kehlenbeck (128359)
Darren J. Kriticos (128363)
Richard H. A. Baker (128366)
Andrea Battisti (52365)
Sarah Brunel (128369)
Maxime Dupin (128375)
Dominic Eyre (128381)
Massimo Faccoli (128385)
Zhenya Ilieva (128389)
Marc Kenis (128392)
Jon Knight (128395)
Philippe Reynaud (128399)
Annie Yart (128402)
Wopke van der Werf (128405)

October 2012

Experts’ assessment of the uncertainty of parameter estimates in their case study (numbers indica...

Experts’ feedback on the suitability of four models in practical pest risk assessment based on their experience on specific case studies (numbers indicate how often a score was given).

Christelle Robinet (128355)
Hella Kehlenbeck (128359)
Darren J. Kriticos (128363)
Richard H. A. Baker (128366)
Andrea Battisti (52365)
Sarah Brunel (128369)
Maxime Dupin (128375)
Dominic Eyre (128381)
Massimo Faccoli (128385)
Zhenya Ilieva (128389)
Marc Kenis (128392)
Jon Knight (128395)
Philippe Reynaud (128399)
Annie Yart (128402)
Wopke van der Werf (128405)

October 2012

Experts’ feedback on the suitability of four models in practical pest risk assessment based on th...

Teachers' and students' perceptions of assessments: A review and a study into the ability and accuracy of estimating the difficulty levels od assessment items

van de Watering, G.

January 2006

In today's higher education, high quality assessments play an important role. Little is known, howev...

Results of experts’ judgments regarding the importance of hazard assessment indices.

Fang Yan (134746)
Kaili Xu (3147036)

January 2017

Results of experts’ judgments regarding the importance of hazard assessment indices.</p

The parameter complexity of different models and the number of parameters they actually use.

Xuanyu Li (9323619)
Xuan Zhang (56049)
Wenduo He (14573265)
Deliang Bu (14573268)
Sanguo Zhang (1390083)

February 2023

The parameter complexity of different models and the number of parameters they actually use.</p

Improve Expert Estimation Process. Practice Assessment And Proposals For A Consultant Company.

Reidar Conradi Idi
Li Jingyue Idi
Knut Drange
Knut Drange

January 2007

Estimation of software development effort for a company can be quite difficult. When people are usin...

Quantification for complex assessment: uncertainty estimation in final year project thesis assessment

Kim, Ho Sung

January 2013

A quantitative method for estimating an expected uncertainty (reliability and validity) in assessmen...

Technical Folio

January 2016

Assessment judges the value of one’s ability or quality, and value judgments require special referen...

Evaluating Expert Estimators Based on Elicited Competences

Hrvoje Karna
Sven Gotovac

July 2015

Utilization of expert effort estimation approach shows promising results when it is applied to softw...

Expert analytic versus intuitive thinking.

Thomas McAndrew (153296)
Nicholas G. Reich (7962266)

September 2022

Experts’ self-assessed percentage of analytic vs. intuitive thinking when making predictions, report...

Calibrating experts’ probabilistic assessments for improved probabilistic predictions

Hanea, A.M. (author)
Nane, G.F. (author)

January 2019

Expert judgement is routinely required to inform critically important decisions. While expert judgem...

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Nicholas Bien (6013715)
Pranav Rajpurkar (5993015)
Robyn L. Ball (3682054)
Jeremy Irvin (5993018)
Allison Park (6013718)
Erik Jones (6013721)
Michael Bereket (6013724)
Bhavik N. Patel (5993042)
Kristen W. Yeom (753979)
Katie Shpanskaya (5993045)
Safwan Halabi (6013727)
Evan Zucker (6013730)
Gary Fanton (6013733)
Derek F. Amanatullah (6013736)
Christopher F. Beaulieu (6013739)
Geoffrey M. Riley (6013742)
Russell J. Stewart (1899409)
Francis G. Blankenberg (5993048)
David B. Larson (6013745)
Ricky H. Jones (6013748)
Curtis P. Langlotz (5993039)
Andrew Y. Ng (5403176)
Matthew P. Lungren (4536982)

November 2018

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...

How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions

Servin, Christian
Jaimes, Aline
Tweedie, Craig
Velasco, Aaron A.
Ochoa, Omar
Kreinovich, Vladik

July 2013

To properly process data, we need to know the accuracy of different data points, i.e., accuracy of d...

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Finding Test Very/Extremely Influential on 5-point Likert Scale.

Rosemary C. She (713095)
Sally Alrabaa (713096)
Seung Heon Lee (713097)
Meghan Norvell (713098)
Andrew Wilson (23322)
Cathy A. Petti (713099)

March 2015

Practitioner Perceptions of Hypothetical Rapid Test on Clinical Practice—Number and Percentage Fi...

Comparison of the performance between human experts and presented method (signed error and unsigned error in pixels).

Xiayu Xu (297078)
Joseph M. Reinhardt (297079)
Qiao Hu (297080)
Benjamin Bakall (297081)
Paul S. Tlucek (297083)
Geir Bertelsen (297085)
Michael D. Abràmoff (297087)

February 2013

and denote the two human experts. denotes the presented method. denotes the average measureme...

Experts’ assessment regarding the level of difficulty of parameter estimation in their case study (numbers indicate how often a score was given).

Abstract

Extracted data

Experts’ assessment regarding the level of difficulty of parameter estimation in their case study (numbers indicate how often a score was given).

Abstract

Extracted data

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