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Regularized Classification-Aware Quantization

, 2022
Accepted to the 30th Biennial Symposium on Communications (BSC ...
Daniel Severo 0001, Elad Domanovitz, Ashish Khisti   +2 more
openaire   +2 more sources

Antimicrobial Agent Utilization Pattern among Footballers in Eastern India: Classifying Using Access, Watch, and Reserve [PDF]

Bengal Physician Journal
Background: Vigorous training, practice-related injuries coupled with inadequate resting time puts athletes at risk of bacterial infections, which begets the use of antimicrobial agents.
Shambo S Samajdar, Shatavisa Mukherjee, Santi R Dasgupta, Parbati Panda, Santanu Tripathi   +4 more
doaj   +1 more source

Hierarchical Structure-Feature Aware Graph Neural Network for Node Classification

IEEE Access, 2022
In recent years, graph neural network is used to process graph data and has been successfully applied to graph node classification task. Due to the complexity of graph structure and the difficulty of obtaining node labels, node classification in datasets
Wenbin Yao, Ke Guo, Yingying Hou, Xiaoyong Li   +3 more
doaj   +1 more source

Point Prevalence Study of Antibiotic Consumption in Sanandaj Hospitals, 2015-2017; Urgent Implications for an Antibiotic Stewardship Program

مجله علمی دانشگاه علوم پزشکی کردستان, 2022
Background and Aim: Antibiotic resistance is considered a global and increasing threat to human health. Excessive use of antibiotics is one of the leading causes of antibiotic resistance.
Jafar Soltani, Ann Versporten, Herman Goossens, Ines Pawels, Ghobad Moradi, Parin Yazdanifard, Leila Rashidzadeh   +6 more
doaj  

Decision Theory for Discrimination-Aware Classification [PDF]

2012 IEEE 12th International Conference on Data Mining, 2012
Social discrimination (e.g., against females) arising from data mining techniques is a growing concern worldwide. In recent years, several methods have been proposed for making classifiers learned over discriminatory data discrimination-aware.
Faisal Kamiran, Asim Karim, Xiangliang Zhang 0001   +2 more
openaire   +1 more source

Classification aware neural topic model for COVID-19 disinformation categorisation.

PLoS ONE, 2021
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-checkers and media worldwide, and brought a new major challenge to government responses worldwide.
Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva   +5 more
doaj   +1 more source

Homogeneous and heterogeneous distributed classification for pocket data mining [PDF]

, 2012
Pocket Data Mining (PDM) describes the full process of analysing data streams in mobile ad hoc distributed environments. Advances in mobile devices like smart phones and tablet computers have made it possible for a wide range of applications to run in ...
May, D., Philip S. Yu, Liu, Han, David May, Bramer, M., Mohamed Medhat Gaber, Max Bramer, Gaber, M., Han Liu, Yu, P., Paul Aldridge, Frederic Stahl, Stahl, F., Yu, P. S., Aldridge, P., Bramer, Max, Stahl, Frederic, Gaber, M. M., Liu, H.   +18 more
core   +1 more source

Trust-based model for privacy control in context aware systems [PDF]

, 2003
In context-aware systems, there is a high demand on providing privacy solutions to users when they are interacting and exchanging personal information.
English, C., Wagealla, W., Terzis, S.
core   +4 more sources

Sensor Data Acquisition and Processing Parameters for Human Activity Classification [PDF]

, 2014
It is known that parameter selection for data sampling frequency and segmentation techniques (including different methods and window sizes) has an impact on the classification accuracy.
Ifeyinwa E. Achumba, Sebastian D. Bersch, Azzi, Djamel, Sebastian Bersch, Ries, Jana, Djamel Azzi, Khusainov, Rinat, Bersch, Sebastian, Rinat Khusainov, Jana Ries, Ifeyinwa Achumba, Achumba, Ifeyinwa   +11 more
core   +1 more source

Structure Aware Generative Adversarial Networks for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Generative adversarial networks (GANs) have shown striking performances in computer vision applications to augment virtual training samples (VTS). However, the VTS generating by GANs in the context of hyperspectral image classification suffer from ...
Tayeb Alipour-Fard, Hossein Arefi
doaj   +1 more source