Summary of Limits to Classification Performance by Relating Kullback-leibler Divergence to Cohen’s Kappa, By L. Crow and S. J. Watts
Limits to classification performance by relating Kullback-Leibler divergence to Cohen’s Kappaby L. Crow, S. J.…
Summary of Vnlp: Turkish Nlp Package, by Meliksah Turker et al.
VNLP: Turkish NLP Packageby Meliksah Turker, Mehmet Erdi Ari, Aydin HanFirst submitted to arxiv on:…
Summary of Improve Cost Efficiency Of Active Learning Over Noisy Dataset, by Zan-kai Chong et al.
Improve Cost Efficiency of Active Learning over Noisy Datasetby Zan-Kai Chong, Hiroyuki Ohsaki, Bryan NgFirst…
Summary of Leveraging Self-supervised Learning For Scene Classification in Child Sexual Abuse Imagery, by Pedro H. V. Valois et al.
Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imageryby Pedro H. V. Valois,…
Summary of Augmenting Automation: Intent-based User Instruction Classification with Machine Learning, by Lochan Basyal et al.
Augmenting Automation: Intent-Based User Instruction Classification with Machine Learningby Lochan Basyal, Bijay GaudelFirst submitted to…
Summary of Neural Field Classifiers Via Target Encoding and Classification Loss, by Xindi Yang et al.
Neural Field Classifiers via Target Encoding and Classification Lossby Xindi Yang, Zeke Xie, Xiong Zhou,…
Summary of Pairwise Alignment Improves Graph Domain Adaptation, by Shikun Liu et al.
Pairwise Alignment Improves Graph Domain Adaptationby Shikun Liu, Deyu Zou, Han Zhao, Pan LiFirst submitted…
Summary of Machine Learning Training Optimization Using the Barycentric Correction Procedure, by Sofia Ramos-pulido et al.
Machine Learning Training Optimization using the Barycentric Correction Procedureby Sofia Ramos-Pulido, Neil Hernandez-Gress, Hector G.…
Summary of Indirectly Parameterized Concrete Autoencoders, by Alfred Nilsson et al.
Indirectly Parameterized Concrete Autoencodersby Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha, Erik Englesson, Alexandra…
Summary of Robust Deep Labeling Of Radiological Emphysema Subtypes Using Squeeze and Excitation Convolutional Neural Networks: the Mesa Lung and Spiromics Studies, by Artur Wysoczanski et al.
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The…