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Classification with Valid and Adaptive Coverage [article]

Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
2020 arXiv   pre-print
Conformal inference, cross-validation+, and the jackknife+ are hold-out methods that can be combined with virtually any machine learning algorithm to construct prediction sets with guaranteed marginal  ...  In this paper, we develop specialized versions of these techniques for categorical and unordered response labels that, in addition to providing marginal coverage, are also fully adaptive to complex data  ...  Acknowledgments and Disclosure of Funding  ... 
arXiv:2006.02544v1 fatcat:vtrxvmgcjnan5guphqsgtxzaq4

Distribution-Free Federated Learning with Conformal Predictions [article]

Charles Lu, Jayasheree Kalpathy-Cramer
2022 arXiv   pre-print
3D multi-class classification tasks.  ...  In this paper, we propose to address these challenges by incorporating an adaptive conformal framework into federated learning to ensure distribution-free prediction sets that provide coverage guarantees  ...  Ethical approval was not required as confirmed by the license attached with the open access data.  ... 
arXiv:2110.07661v2 fatcat:rcyyd74vlnfojfoqp3rgxzkblm

Online Informative Path Planning for Active Classification on UAVs [article]

Marija Popovic, Gregory Hitz, Juan Nieto, Roland Siegwart, Enric Galceran
2016 arXiv   pre-print
We validate our approach in simulation by comparing against standard "lawnmower" coverage, and study the effects of varying objectives and optimization strategies.  ...  We propose an informative path planning (IPP) algorithm for active classification using an unmanned aerial vehicle (UAV), focusing on weed detection in precision agriculture.  ...  This work was funded by the European Community's Horizon 2020 programme under grant agreement no 644227-Flourish and from the Swiss State Secretariat for Education, Research and Innovation (SERI) under  ... 
arXiv:1606.08164v2 fatcat:grh3mj2nk5dtpbcjxvbjxydzta

Adaptive Confidence Intervals for the Test Error in Classification

Eric B. Laber, Susan A. Murphy
2011 Journal of the American Statistical Association  
B are Gaussian processes and z ∞ is a p-dim normal with covariance Σ  ...  Width is highlighted if coverage is at least .950 and the interval is smallest.  ...  : where V and B are Gaussian processes and z ∞ is a p-dim normal with covariance Σ Adaptive confidence interval Some observations: Adaptive confidence interval Letû be the 1 − γ/2 of percentileĈ (  ... 
doi:10.1198/jasa.2010.tm10053 pmid:22053123 pmcid:PMC3285493 fatcat:dywt563trzcobmfp4cdrpwyoya

An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks [article]

Anika Tabassum, Naimul Khan
2020 arXiv   pre-print
can be adapted as needed by the domain expert.  ...  of the classification.  ...  To adapt these networks to a binary classification problem, we followed [10] and in each case (AlexNet, VGG-16 and ResNet-18), we have dropped the last fully connected layer and replaced that with our  ... 
arXiv:2008.05566v1 fatcat:abaoazm2dzdqlixv63aj2iozza

Online Informative Path Planning for Active Classification Using UAVs [article]

Marija Popovic, Gregory Hitz, Juan Nieto, Inkyu Sa, Roland Siegwart,, Enric Galceran
2016 arXiv   pre-print
We validate our approach in simulation by comparing against existing methods, and study the effects of different planning strategies.  ...  Our results show that the proposed algorithm builds maps with over 50% lower entropy compared to traditional "lawnmower" coverage in the same amount of time.  ...  ACKNOWLEDGMENT This work was funded by the European Community's Horizon 2020 programme under grant agreement no 644227-Flourish and from the Swiss State Secretariat for Education, Research and Innovation  ... 
arXiv:1609.08446v1 fatcat:ufshi2exivaylfoi4mich4qem4

Cultural adaptation and content validity of ISTAP Skin Tear Classification for Portuguese in Brazil

Cinthia Silva, Ticiane Campanili, Kimberly LeBlanc, Sharon Baranoski, Vera Santos
2018 ESTIMA Brazilian Journal of Enterostomal Therapy  
Conclusion: The culturally adapted version of the ISTAP Skin Tear Classification is considered to have been obtained, with its content validity also attested.  ...  Objective: To translate and culturally adapt the International Skin Tear Advisory Panel (ISTAP) Skin Tear Classification into the Portuguese language in Brazil and test the content validity of the adapted  ...  The invitation and authorization for ISTAP Skin Tear Classification cultural adaptation and validation for Brazilians was made by Dr.  ... 
doi:10.30886/estima.v16.590 fatcat:27w2fkshpzhizprikmdypplxla

Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples

Jutte J.C. de Vries, Julianne R. Brown, Nicole Fischer, Igor A. Sidorov, Sofia Morfopoulou, Jiabin Huang, Bas B. Oude Munnink, Arzu Sayiner, Alihan Bulgurcu, Christophe Rodriguez, Guillaume Gricourt, Els Keyaerts (+18 others)
2021 Journal of Clinical Virology  
Acknowledgements We thank the COMPARE study group (https://www.compareeurope.eu/) and the EMBL-EBI (https://www.ebi.ac.uk/) for the availability of the Data Hubs.  ...  Both classification tools and reference databases differed among participants (and were fixed for end-users of the commercially available pipelines); (adapted versions of) NCBI's nucleotide and RefSeq  ...  A different wet lab procedure (sequencer with or without index hopping, preparation with or without probe enrichment) will require new validation and indexing of the determined cut-off values and probability  ... 
doi:10.1016/j.jcv.2021.104908 pmid:34273858 fatcat:ijidecaskfccjgxiks6v3f32eq

Confidence Estimation via Auxiliary Models [article]

Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
2021 arXiv   pre-print
We study various network architectures and experiment with small and large datasets for image classification and semantic segmentation.  ...  We evaluate our approach on the task of failure prediction and of self-training with pseudo-labels for domain adaptation, which both necessitate effective confidence estimates.  ...  B.8 Risk-coverage curves In relation with the selective classification experiments, we provide the risk-coverage curves for five classification benchmarks: MLP on MNIST (Fig. 14a) , SmallConvNet on MNIST  ... 
arXiv:2012.06508v2 fatcat:i7r2xk4qyng6vdtyrnbbv4xxgq

Selective Test Generation Approach for Testing Dynamic Behavioral Adaptations [chapter]

Mariam Lahami, Moez Krichen, Hajer Barhoumi, Mohamed Jmaiel
2015 Lecture Notes in Computer Science  
With the aim of obtaining the new test suite and avoiding its regeneration in a cost effective manner, we propose a selective test generation approach.  ...  The latter comprises essentially three modules: (1) a model differencing module that detects similarities and differences between the initial and the evolved behavioral models, (2) an old test classification  ...  First, we obtain valid tests called retestabe tests that cover the same coverage items in the new model and traverse the same paths with possibly updated clock values.  ... 
doi:10.1007/978-3-319-25945-1_14 fatcat:xnyceaae2jgpriytckfa5cflqi

Page 293 of Psychological Abstracts Vol. 56, Issue 2 [page]

1976 Psychological Abstracts  
—Presents 4 criteria for the evaluation of psychiatric classification systems; reliability, coverage, descriptive validity, and predictive validity.  ...  Descriptive validity refers to the relative homogeneity of categories within a classification, whereas predictive validity is concerned with the pragmatic usefulness of a classification for treatment decisions  ... 

A novel method for motor imagery EEG adaptive classification based biomimetic pattern recognition

Yan Wu, Yanbin Ge
2013 Neurocomputing  
The results demonstrate that the new algorithm is efficiency and robust compared with non-adaptive classifiers.  ...  Besides, a couple of analyses are made on the selection of parameters in the adaptive BPR, and some advice has been come up with about their selections.  ...  This adaptive classifier is applied to a variety of datasets collected from 2002 and 2005 BCI Competitions, and the results testify the validity of our idea.  ... 
doi:10.1016/j.neucom.2012.03.030 fatcat:6r5bi5loarftlpnorwzltvbogy

A testing framework for predictive driving features with an electronic Horizon

M. Elgharbawy, A. Schwarzhaupt, R. Arenskrieger, H. Elsayed, M. Frey, F. Gauterin
2019 Transportation Research Part F: Traffic Psychology and Behaviour  
The verification and validation strategy then performs X-in-the-Loop tests, proving grounds and long-term endurance tests.  ...  This paper summarises previous works dealing with the large-scale verification requirements and challenges of intelligent transportation systems.  ...  Evidences of adaptive test coverage User-oriented assessment procedures are the current de-facto standard for the validation of driver assistance functions.  ... 
doi:10.1016/j.trf.2017.08.002 fatcat:ebqind2uejfnjaxq36aq7nuxja

EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods [article]

Wei-Yao Wang, Kai-Shiang Chang, Yu-Chien Tang
2020 arXiv   pre-print
Besides, each classifier has its strengths and weakness, we leverage different types of models with ensemble methods: average and power weighted sum.  ...  This paper provides a method to classify sentiment with robust model based ensemble methods. We preprocess tweet data to enhance coverage of tokenizer.  ...  After applying preprocessing methods, coverage of train- ing text increases from 77.681% to 93.919%, reply from 73.164% to 92.086%, and coverage of validation text increases from 77.472% to 93.921%  ... 
arXiv:2007.02259v1 fatcat:qku7rg23ofdlppufbg7yk374ra

Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages

Jason Li, Saman K Halgamuge, Christopher I Kells, Sen-Lin Tang
2007 BMC Bioinformatics  
Experiments were conducted with 9 different gene functions over 296 bacteriophage genomes.  ...  Cross validation results gave an average prediction accuracy of ~80%, which is comparable to other genomic-context based prediction methods.  ...  Acknowledgements We thank Bill Chang and Arthur Hsu for their advice on this work and Zhi Feng Zhu for his assistance in software implementation.  ... 
doi:10.1186/1471-2105-8-s4-s6 pmid:17570149 pmcid:PMC1892085 fatcat:rmdfq7ipmfbjvag5fzq423astm
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