Filters








3,345 Hits in 6.4 sec

Apples-to-apples in cross-validation studies

George Forman, Martin Scholz
2010 SIGKDD Explorations  
There are subtle differences in how exactly to compute accuracy, F-measure and Area Under the ROC Curve (AUC) in cross-validation studies.  ...  There are subtle differences in how exactly to compute accuracy, F-measure and Area Under the ROC Curve (AUC) in cross-validation studies.  ...  PERFORMANCE MEASURES UNDER CROSS-VALIDATION In this section we define and distinguish the different methods of calculating the performance scores.  ... 
doi:10.1145/1882471.1882479 fatcat:kyuo3mrltfentpr5huy3jsfhje

Addressing the pitfalls when designing intervention studies to discover and validate biomarkers of habitual dietary intake

A. J. Lloyd, N. D. Willis, T. Wilson, H. Zubair, E. Chambers, I. Garcia-Perez, L. Xie, K. Tailliart, M. Beckmann, J. C. Mathers, J. Draper
2019 Metabolomics  
For biomarker approaches to have utility it is essential that they cover a wide-range of commonly consumed foods and the methodology works in a real-world environment.  ...  Dietary exposure monitoring within populations is reliant on self-reported measures such as Food Frequency Questionnaires and diet diaries.  ...  In the first study we employed a cross-over design in which, on the day before the study (Pre-day), participants were randomized to either a standardized evening meal (Supplemental data 1a) or a low polyphenol  ... 
doi:10.1007/s11306-019-1532-3 pmid:31049735 pmcid:PMC6497620 fatcat:zy7lkfhnirfipdmd576oz5qo54

Estimation of the covariance matrix of random effects in longitudinal studies

Yan Sun, Wenyang Zhang, Howell Tong
2007 Annals of Statistics  
Longitudinal studies are often conducted to explore the cohort and age effects in many scientific areas.  ...  The within cluster correlation structure plays a very important role in longitudinal data analysis.  ...  Appl. Stat. -HOUSEHOLD ASSOCIATIONS IN HOUSEHOLD PANEL STUDIES BY FIONA STEELE * , PAUL S.  ... 
doi:10.1214/009053607000000523 fatcat:x6u3qclakrgr3bkryyxq4ooaaa

The Impact of Controlled Vocabularies on Requirements Engineering Activities: A Systematic Mapping Study

Arshad Ahmad, José Luis Barros Justo, Chong Feng, Arif Ali Khan
2020 Applied Sciences  
Objective: To identify and classify the type of CVs, and the impact they have on the requirements engineering phase of software development.  ...  Method: A systematic mapping study, collecting empirical evidence that is published up to July 2019.  ...  Conflicts of Interest: All the authors declare that they have no conflict of interests relevant to this article.  ... 
doi:10.3390/app10217749 fatcat:hmju64bjajfojn7cg74nemd7pq

The economics of grades

Peter Bowbrick
1982 Oxford Agrarian Studies  
Rhodes (1955) has presented an excellent review of the pitfalls of this research, pitfalls which remain for even the best and most modern techniques The use of multi-characteristic consumption studies  ...  Sometimes, in fact, large apples are sold loose, item by item, while small apples are sold in bags.  ... 
doi:10.1080/13600818208423923 fatcat:mlx4zz67mrebdigatdvbv2zlsu

omniClassifier

John H. Phan, Sonal Kothari, May D. Wang
2014 Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '14  
In addition to describing implementation details, we use various gene expression datasets to demonstrate the potential scalability of omniClassifier for efficient and robust Big Data prediction modeling  ...  to vast computing resources.  ...  Coalition (Distinguished Cancer Scholar Award to Professor May D.  ... 
doi:10.1145/2649387.2649439 pmid:27532062 pmcid:PMC4983434 dblp:conf/bcb/PhanKW14 fatcat:hg7ileljpjhvlmqcafkvlbibnq

Pay Zone Determination Using Enhanced Workflow and Neural Network

Loris Alif Syahputra, Maman Hermana, Iftikhar Satti
2022 Applied Sciences  
Additionally, the model is validated using real seismic data, demonstrating a promising performance in defining probable hydrocarbons.  ...  A type of unsupervised learning referred to as self-organizing maps (SOM) is applied in this study to delineate hydrocarbons from given AVO properties that were used to detect hydrocarbons.  ...  Acknowledgments: The authors would like to thank PETRONAS Malaysia and Centre for Subsurface Imaging UTP for providing the data for this study.  ... 
doi:10.3390/app12042234 fatcat:rrrudi2kr5dh5pz4miun3d57zm

Berlin Brain–Computer Interface—The HCI communication channel for discovery

Roman Krepki, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
2007 International Journal of Human-Computer Studies  
In general, BCIs offer a possibility of communication for people with severe neuromuscular disorders, such as amyotrophic lateral sclerosis (ALS) or complete paralysis of all extremities due to high spinal  ...  user in the case of a misclassification of the decoded brain signal.  ...  Acknowledgements Many thanks to our colleagues at the Fraunhofer-FIRST: Guido Dornhege and Christin Scha¨fer; and at the UKBF: Florian Losch and Volker Kunzmann who helped to develop the system described  ... 
doi:10.1016/j.ijhcs.2006.11.010 fatcat:36yurv7c2zdjzis6hkyw6btgte

GPR Data Interpretation Approaches in Archaeological Prospection

Merope Manataki, Antonis Vafidis, Apostolos Sarris
2021 Applied Sciences  
This article focuses on the possible drawbacks and pitfalls in the GPR data interpretation process commonly followed by most GPR practitioners in archaeological prospection.  ...  To contribute to the automatic interpretation of GPR data using DL, an application of Convolutional Neural Networks (CNNs) to classify GPR data is also presented and discussed.  ...  Acknowledgments: Special thanks go to the laboratory of GeoSatReSeArch-FORTH, all the colleagues and students who participated in fieldwork, and the data collection that this research heavily relied on  ... 
doi:10.3390/app11167531 fatcat:du6f5vhjmjc4nengqolwnwqkuu

Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry

ALOK KUMAR CHOWDHURY, DIAN TJONDRONEGORO, VINOD CHANDRAN, STEWART G. TROST
2017 Medicine & Science in Sports & Exercise  
Classifiers were cross-validated using leave-one subject out cross-validation and compared on the basis of average F1 scores.  ...  Purpose To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy  ...  Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement. ACM SIGKDD Explorations Newsletter. 2010;12(1):49-57. 12. Hall MA, Smith LA.  ... 
doi:10.1249/mss.0000000000001291 pmid:28419025 fatcat:5vloklmzsjdxrgoee7gsue7gry

Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology

Albert K. Feeny, Mina K. Chung, Anant Madabhushi, Zachi I. Attia, Maja Cikes, Marjan Firouznia, Paul A. Friedman, Matthew M. Kalscheur, Suraj Kapa, Sanjiv M. Narayan, Peter A. Noseworthy, Rod S. Passman (+8 others)
2020 Circulation: Arrhythmia and Electrophysiology  
We provide a technical overview of some of the most commonly used terms, techniques, and challenges in AI/ML studies, with reference to recent studies in cardiac electrophysiology to illustrate key points  ...  Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities  ...  AI in EP Circ  ... 
doi:10.1161/circep.119.007952 pmid:32628863 fatcat:w6qek2jrhrdn7mkqmllev2b2cy

Memory and Consciousness [chapter]

2003 Essential Sources in the Scientific Study of Consciousness  
Acknowledgment We would like to thank Jordan Zlatev, Victoria Johansson, Joost van de Weijer and Mats Andrén for all their help and advice.  ...  , studies of individual differences, cross-cultural comparisons, etc.).  ...  As we stressed in the introduction, the analysis performed in this article is largely exploratory.  ... 
doi:10.7551/mitpress/2834.003.0045 fatcat:u3dk5u7eavgydfughahd3yh44m

Feature Selection for Classification of SELDI-TOF-MS Proteomic Profiles

Milos Hauskrecht, Richard Pelikan, David E Malehorn, William L Bigbee, Michael T Lotze, Herbert J Zeh, David C Whitcomb, James Lyons-Weiler
2005 Applied Bioinformatics  
Feature selection, in addition to classification, plays an important role in successful identification of proteomic biomarker panels.  ...  The results clearly show the benefit of the new strategy over univariate feature selection methods in terms of improved classification performance.  ...  Acknowledgements This work was supported in part by the Early Detection Research Network grant no. UO1 CA84968 to William L.  ... 
doi:10.2165/00822942-200504040-00003 pmid:16309341 fatcat:mowda5smbbg2xnrgui6zi42sim

Draft Results of a Workshop to Develop Guidelines for Studies Involving Microbial Incidence or Populations in the Oral Cavity

M.I. Krichevsky
1991 Journal of Dental Research  
Possible study designs include the following: Cross-sectional studies: an easy study design to implement; useful in identifying time-bound associations between microbial infection and disease.  ...  Pure cultures should be obtained from the geographic area in which the study is being done to validate the probes further. C.  ... 
doi:10.1177/00220345910700031401 pmid:1671870 fatcat:y5wfts363vcgvecm65rqwk7hxi

Applied Awareness: Test-Driven GUI Development using Computer Vision and Cryptography [article]

Donald Beaver
2020 arXiv   pre-print
In addition to practical implementation, ties to formal verification methods in cryptography are explored and explained, providing fertile perspectives on assurance in UI and interpretability in AI.  ...  While computer vision has been applied to several aspects of GUI testing, we demonstrate a novel and immediately applicable approach of interpreting GUI presentation in terms of backend communications,  ...  Roadmap: §2 Background; §3 Awareness; §4 Case Study; §5 Crypto. Background Automated testing Quality assurance performed by humans can be tedious, error-prone and expensive.  ... 
arXiv:2006.03725v1 fatcat:5ikkywyxr5czxklw6d4i7yifgq
« Previous Showing results 1 — 15 out of 3,345 results