https://www.mdpi.com/2077-0383/10/8/1635
Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs
Objectives: We aimed to assess the impact of image context information on the accuracy of deep learning models for tooth classification on panoramic dental...
deep learningfor classificationimpactimagecontext
https://cohere.com/blog/classification-fine-tuning
Fine-Tuning for Classification: Unlocking Multilabel and Multilingual Use Cases
fine tuningfor classificationunlockingmultilabelmultilingual
https://arxiv.org/abs/1611.10031
[1611.10031] Active Deep Learning for Classification of Hyperspectral Images
Abstract page for arXiv paper 1611.10031: Active Deep Learning for Classification of Hyperspectral Images
deep learningfor classification1611activehyperspectral
https://www.kaggle.com/code/stephenreid321/linear-and-logistic-regression-for-classification
Linear and logistic regression for classification | Kaggle
Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources
and logistic regressionfor classificationlinearkaggle
https://www.kaggle.com/datasets/arnavr10880/concrete-crack-images-for-classification/data
Concrete Crack Images for Classification | Kaggle
Dataset containing concrete images having cracks for image classification
concrete crackimages forclassificationkaggle
https://www.mdpi.com/2072-4292/13/13/2477
Deep Learning-Based Phenological Event Modeling for Classification of Crops
Classification of crops using time-series vegetation index (VI) curves requires appropriate modeling of phenological events and their characteristics. The...
deep learningfor classificationbasedphenologicalevent
https://aclanthology.org/D19-6217/
Dilated LSTM with attention for Classification of Suicide Notes - ACL Anthology
Annika M Schoene, George Lacey, Alexander P Turner, Nina Dethlefs. Proceedings of the Tenth International Workshop on Health Text Mining and Information...
for classificationsuicide notesdilatedlstmattention
https://www.mathworks.com/help/stats/fscnca.html
fscnca - Feature selection using neighborhood component analysis for classification - MATLAB
fscnca performs feature selection using neighborhood component analysis (NCA) for classification.
feature selectioncomponent analysisfor classificationusingneighborhood
https://edubirdie.com/docs/camosun-college/nurs132-promoting-health-and-wellbeing/39466-eular-criteria-for-classification-of-primary-sjogren-s-syndrome
EULAR Criteria for Classification of Primary Sjogren's Syndrome - Edubirdie
Explore this EULAR Criteria for Classification of Primary Sjogren's Syndrome to get exam ready in less time!
sjogren s syndromefor classificationeularcriteriaprimary
https://www.mathworks.com/help/deeplearning/ref/trainsoftmaxlayer.html
trainSoftmaxLayer - Train a softmax layer for classification - MATLAB
This MATLAB function trains a softmax layer, net, on the input data X and the targets T.
for classificationtrainsoftmaxlayermatlab
https://www.broadinstitute.org/publications/broad1375956
ClinGen API platform for classification of human genetic variants. | Broad Institute
api platformhuman geneticclingenclassification
https://arxiv.org/abs/1512.07158
[1512.07158] Feature Selection for Classification under Anonymity Constraint
Abstract page for arXiv paper 1512.07158: Feature Selection for Classification under Anonymity Constraint
feature selectionfor classification1512anonymityconstraint
https://www.cdc.gov/nchs/nvss/manuals/2a-sectioni-2021.htm
Instructions for Classification of Underlying and Multiple Causes of Death - Section I - 2021
National Center for Health Statistics
for classification
https://www.mdpi.com/2077-0383/12/22/7082
The Use of Artificial Intelligence for the Classification of Craniofacial Deformities
Positional cranial deformities are a common finding in toddlers, yet differentiation from craniosynostosis can be challenging. The aim of this study was to...
the useartificial intelligencefor classificationcraniofacialdeformities
https://deepai.org/publication/combining-multiscale-features-for-classification-of-hyperspectral-images-a-sequence-based-kernel-approach
Combining multiscale features for classification of hyperspectral images: a sequence based kernel...
Jun 15, 2016 - 06/15/16 - Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular wa...
for classification
https://www.astm.org/membership-participation/technical-committees/workitems/workitem-wk65317
WK65317 - Reinstatement of F2311-08 Standard Guide for Classification of Therapeutic Skin...
ASTM International - Standards Worldwide
standard guidefor classificationreinstatement08
https://oecd.ai/en/classification-comments
Comments received on the OECD Framework for the Classification of AI Systems - OECD.AI
The Framework has been through a public consultation process to get feedback from as many perspectives and stakeholder groups to improve its relevance and...
comments receivedon thefor classificationoecd
https://openreview.net/forum?id=IepDSQDWWv
A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin...
This paper introduces COMTE-LEFTIST, a hybrid explanation method for time-series classification, specifically applied to a Bitcoin recommendation system. The...
time seriesfor classificationhybridcomteleftist
https://www.analyticsvidhya.com/blog/2021/02/machine-learning-101-decision-tree-algorithm-for-classification/
Decision Tree Algorithm for Classification : Machine Learning 101
Mar 1, 2021 - Decision tree Algorithm belongs to the family of supervised ML algorithms. Learn how to use decision tree for classification
decision tree algorithmfor classificationmachine learning101
https://www.astm.org/membership-participation/technical-committees/workitems/workitem-wk95091
WK95091 - Revision of F2376-24 Standard Practice for Classification, Design, Manufacture,...
ASTM International - Standards Worldwide
standard practicefor classificationrevision24
https://openreview.net/forum?id=8G-o3Hm_Z43Cf
Learning Transformations for Classification Forests | OpenReview
This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a...
for classificationlearningtransformationsforestsopenreview
https://www.mathworks.com/help/stats/implement-incremental-learning-using-succinct-workflow-classification.html
Implement Incremental Learning for Classification Using Succinct Workflow - MATLAB & Simulink
Use the succinct workflow to implement incremental learning for binary classification with prequential evaluation.
incremental learningfor classificationimplementusingsuccinct
https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2022.738205/full
Frontiers | Establishment of Genome Based Criteria for Classification of the Family...
Bacteria in the Desulfovibrionaceae family, which contribute to S element turnover as sulfate-reducing bacteria (SRB) and disproportionation of partially oxi...
for classificationfrontiersestablishmentgenomebased
https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2024.1476996/full
Frontiers | Network representations of drum sequences for classification and generation
Complex networks have emerged as a powerful framework for understanding and analyzing musical compositions, revealing underlying structures and dynamics that...
for classificationfrontiersnetworkrepresentationsdrum
https://www.dnv.com/news/2015/january-2015-legacy-dnv-rules-for-classification-of-ships-14491/
January 2015 legacy DNV Rules for Classification of Ships
Following the merger of legacy societies DNV and GL, the new society DNV GL will publish two parallel set of rules until a common rule set is in place.
january 2015for classificationlegacydnvrules
https://www.atlantis-press.com/proceedings/itids-20/125946048
Generating Data on Individual Learning Paths for Classification Using Deep Learning Networks |...
The article considers information about individual learning paths as a set of observations with a large number of features. To reduce the amount of...
individual learning pathsdata onfor classificationgenerating
https://www.hse.gov.uk/explosives/classification/how-to-apply.htm
How do I apply for classification? - HSE
Provides a list of useful explosive contacts. HSE works in partnership with local authorities and the police in administering and enforcing the law on...
how do i applyfor classificationhse
https://openreview.net/forum?id=VbEUDj6GAp&referrer=%5Bthe%20profile%20of%20Ulysse%20Gazin%5D(%2Fprofile%3Fid%3D~Ulysse_Gazin1)
Powerful batch conformal prediction for classification | OpenReview
In a split conformal framework with $K$ classes, a calibration sample of $n$ labeled examples is observed for inference on the label of a new unlabeled...
conformal predictionpowerfulbatchclassificationopenreview
https://www.astm.org/membership-participation/technical-committees/workitems/workitem-wk98123
WK98123 - Revision of F3133-24 Standard Practice for Classification, Design, Manufacture,...
ASTM International - Standards Worldwide
standard practicefor classificationrevision24
https://www.cloudera.com/services-and-support/tutorials/using-decision-tree-and-random-forest-models-for-classification.html
Using decision tree and random forest models for classification | Tutorials | Cloudera
In this tutorial, you will be introduced to a decision tree classification and random forest models using Cloudera AI.
decision treerandom forestusing
https://www.codecademy.com/learn/neural-networks-bamlm/modules/py-torch-for-classification-bamlm-2024/cheatsheet
Intro to Neural Networks: PyTorch for Classification Cheatsheet | Codecademy
neural networksfor classificationintropytorchcheatsheet
https://www.analyticsvidhya.com/blog/2021/11/neural-network-for-classification-with-tensorflow/
Neural Network For Classification with Tensorflow - Analytics Vidhya
Oct 14, 2024 - Explore building efficient classification models using neural networks with TensorFlow. Discover the guidance to solve complex classification problems with...
neural networkfor classificationtensorflowanalyticsvidhya
https://healthit.gov/hhs_ai_usecases/artificial-intelligence-based-deduplication-algorithm-classification-duplicate/
Artificial Intelligence-based Deduplication Algorithm for Classification of Duplicate Reports in...
Explore artificial intelligence use cases and how ONC is at the forefront of the federal government's efforts to make health information digitally accessible.
artificial intelligencefor classificationbaseddeduplicationalgorithm
https://easychair.org/publications/preprint/T9Q2
Opcode and Gray Scale Techniques for Classification of Malware Binaries
gray scalefor classificationopcodetechniquesmalware