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A systematic analysis of performance measures for classification tasks

Marina Sokolova, Guy Lapalme
2009 Information Processing & Management  
In this work we present a systematic analysis of twenty four performance measures used in these classification subfields.  ...  This paper presents a systematic analysis of twenty four performance measures used in the complete spectrum of Machine Learning classification tasks, i.e., binary, multi-class, multi-labelled, and hierarchical  ...  We thank Elliott Macklovitch for fruitful suggestions on an early draft. We thank anonymous reviewers for helpful comments.  ... 
doi:10.1016/j.ipm.2009.03.002 fatcat:ygxzzkgmizdjdelc645wwi6i4y

A systematic literature review of automated clinical coding and classification systems

Mary H Stanfill, Margaret Williams, Susan H Fenton, Robert A Jenders, William R Hersh
2010 JAMIA Journal of the American Medical Informatics Association  
This systematic literature review examined studies that evaluated all types of automated coding and classification systems to determine the performance of such systems.  ...  The 113 studies included in this review show that automated tools exist for a variety of coding and classification purposes, focus on various healthcare specialties, and handle a wide variety of clinical  ...  system, a clinical research study, or a quality-measurement analysis. 20 Further development of these systems and a better understanding of the tasks for which they will be used are needed before we  ... 
doi:10.1136/jamia.2009.001024 pmid:20962126 pmcid:PMC3000748 fatcat:aywso3xyofbg3blvubvc2uwtiy

Diagnosing decision quality

Michael J. Davern, Ravi Mantena, Edward A. Stohr
2008 Decision Support Systems  
Generalizing from lab based approaches, we present a new field methodology for the "Diagnosis of Decision Quality" (DDQ) that aids decision makers in the discovery of such diagnostic information.  ...  We demonstrate the effectiveness of our methodology by identifying context specific systematic failures in decision making processes in a manner that facilitates the generation of adaptive changes (e.g  ...  The diagnosis phase provides a more elaborate analysis of the systematic patterns in the DDQ classifications, with a view to discovering the systematic causes for any observed patterns.  ... 
doi:10.1016/j.dss.2007.12.012 fatcat:kebq7wblvvhm3ixxu5rxg5acwm

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions [article]

Leonie Henschel and David Kügler and Derek S Andrews and Christine W Nordahl and Martin Reuter
2022 arXiv   pre-print
Our results demonstrate that single-resolution training settings result in significant loss of volumetric group differences that translate to erroneous segmentations as measured by DSC and subsequent classification  ...  We analyse how this resolution-bias in the data distribution propagates to systematically biased predictions for group L at higher resolutions.  ...  The study team would like to acknowledge Devani Cordero, of the Martinos Center of Biomedical Engineering and thank all of the families and children for their participation.  ... 
arXiv:2206.14919v1 fatcat:nr3exthnyzbzziqiorqg37vme4

Interpreting Aerial Images: A Knowledge-Level Analysis [chapter]

A. Darwish, T. Pridmore, D. Elliman
2002 Applications and Innovations in Intelligent Systems IX  
The current paper presents an analysis of existing image understanding systems; specifically those concerned with aerial image interpretation, from a knowledge engineering perspective.  ...  Many image understanding systems rely heavily on a priori knowledge of their domain of application, drawing parallels with and exploiting techniques developed in the wider field of knowledge-based systems  ...  Finally, the knowledge-based analysis process may be considered to perform a match inference and is used to perform contextual reasoning.  ... 
doi:10.1007/978-1-4471-0149-9_13 fatcat:5kznhllbvje4jlpw4b6upgfjci

Decoding task-specific cognitive states with slow, directed functional networks in the human brain

Shagun Ajmera, Hritik Jain, Mali Sundaresan, Devarajan Sridharan
2020 eNeuro  
Directed functional connectivity, as measured with fMRI, may be relevant for a complete understanding of brain function.  ...  fMRI, may provide useful markers of behaviorally relevant cognitive states.Significance statement Functional MRI is a leading, non-invasive technique for mapping functionally connected networks in the  ...  We performed RFE analysis for task versus resting-state classification for each of the six tasks (all tasks except motor); we expected each of these tasks to recruit common cognitive control mechanisms  ... 
doi:10.1523/eneuro.0512-19.2019 pmid:32265196 pmcid:PMC7358332 fatcat:na6kw4j7gbhsxja2vkdqvka2fy

Validation of Software Visualization Tools: A Systematic Mapping Study

Abderrahmane Seriai, Omar Benomar, Benjamin Cerat, Houari Sahraoui
2014 2014 Second IEEE Working Conference on Software Visualization  
Software visualization as a research field focuses on the visualization of the structure, behavior, and evolution of software.  ...  We distinguish between two possibilities in our analysis: (i) the use of objective measures (e.g., time to perform a task, number of defects detected by the subject, etc.), (ii) and no use of objective  ...  However, a systematic mapping focuses principally on classification, conducting thematic analysis and identifying publication areas.  ... 
doi:10.1109/vissoft.2014.19 dblp:conf/vissoft/SeriaiBCS14 fatcat:rq3jiquz3rbctihtouefaw3y5q

Predictive ability of psychological factors with future performance of football players: a systematic review with meta-analysis

Andreas Ivarsson, Amanda Kilhage-Persson, Russell Martindale, David Priestley, Barbara Huijgen, Clare Ardern, Alan McCall
2019 Journal of Science and Medicine in Sport  
Due to high risk of bias there were low certainty of evidence for psychological factors relationship with future football performance.  ...  Psychological factors; task orientation, task-oriented coping strategies and perceptual-cognitive functions had small effects on future performance in football (ds=0.20-0.29).  ...  Acknowledgements No sources of funding were used to assist in the preparation of this article.  ... 
doi:10.1016/j.jsams.2019.10.021 pmid:31753742 fatcat:aahtcba3abghhdzmcc2jfvsfze

Optimizing feature representation for automated systematic review work prioritization

Aaron M Cohen
2008 AMIA Annual Symposium Proceedings  
Automated document classification can be a valuable tool for enhancing the efficiency of creating and updating systematic reviews (SRs) for evidence-based medicine.  ...  the receiver operating curve as a measure of goodness.  ...  Acknowledgements This work was supported by grants 1R01LM009501-01 from the National Library of Medicine and ITR-0325160 from the National Science Foundation.  ... 
pmid:18998798 pmcid:PMC2656096 fatcat:ukdqmdokabhc3no5egm5cqnz5e

Page 312 of None Vol. 49, Issue 5 [page]

1955 None  
The results of these studies also have implications for problems of aptitude measurement in the psychomotor area as well as to certain problems of criterion analysis.  ...  In other words, a given amount of practice (or change in conditions in which the task is performed) does not result in equal facilitation for the operation of all the cooperating factors contributing to  ... 

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers [chapter]

Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017 Lecture Notes in Computer Science  
Metalearning has been used for similar purposes in other tasks, such as classification and regression.  ...  The performance is compared with a state of the art systematic metafeatures approach using statistical and/or information-theoretical metafeatures.  ...  Partnership Agreement, and through the Portuguese National Innovation Agency (ANI) as a part of project «FASCOM | POCI-01-0247-FEDER-003506».  ... 
doi:10.1007/978-3-319-67786-6_14 fatcat:6qbb6yjaave4dj7vw2fj2oqaf4

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

Brendan Kelly, Conor Judge, Stephanie M Bollard, Simon M Clifford, Gerard M Healy, Kristen W Yeom, Aonghus Lawlor, Ronan P Killeen
2020 Insights into Imaging  
Sub-group analysis will be performed by segmentation tasks, identification tasks, classification tasks, pegression/prediction tasks as well as a sub-analysis for paediatric patients.  ...  We will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and by the Cochrane Collaboration Handbook.  ...  Data synthesis We will not perform a meta-analysis as part of this systematic review. A narrative synthesis of the data will be performed.  ... 
doi:10.1186/s13244-020-00929-9 pmid:33296033 pmcid:PMC7726044 fatcat:yrhsxa56cfcs7hblf4ugli5pv4

Page 522 of Psychological Bulletin Vol. 48, Issue 5 [page]

1952 Psychological Bulletin  
Since a different task is learned under a different condition, as outlined above, a systematic change in performance as a function of the ordinal sequence of combinations of conditions and tasks will be  ...  It is the purpose of this paper to de- scribe analyses of variance of repeated measurements for higher orders of classification.‘ ‘In a recent article (9) the suggestion was made that an analysis of variance  ... 

Classification of mental tasks in the prefrontal cortex using fNIRS

Christian Herff, Dominic Heger, Felix Putze, Johannes Hennrich, Ole Fortmann, Tanja Schultz
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
We provide the first systematic comparison of classification accuracies achieved in a sample study. Data was collected from 10 subjects performing these three tasks.  ...  Two-class accuracies of up to 71% average across all subjects for mental arithmetics, 70% for word generation and 62% for mental rotation were achieved discriminating these tasks from a relax state.  ...  We thus present the first systematic comparison of classification accuracies of the mental tasks mental arithmetics, word generation and mental rotation and prove that all tasks are suitable for fNIRS  ... 
doi:10.1109/embc.2013.6609962 pmid:24110149 dblp:conf/embc/HerffHPHFS13 fatcat:orvf5mkplnamzbjrfimrchqvgy

A systematic literature review of automatic Alzheimer's disease detection from speech and language

Ulla Petti, Simon Baker, Anna Korhonen
2020 JAMIA Journal of the American Medical Informatics Association  
We performed a systematic literature review to answer 5 key questions: (1) What were the characteristics of participant groups? (2) What language data were collected?  ...  Future studies should aim for larger and more balanced datasets, combine data collection methods and the type of information analyzed, focus on the early stages of the disease, and report performance using  ...  The heterogeneity of the performance measures, as well as the participant groups, data collection, and analysis methods does not allow for a direct comparison of classification accuracy.  ... 
doi:10.1093/jamia/ocaa174 pmid:32929494 fatcat:omk2bdv5ebesdm6aw5t2r2sdpe
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