Applications of rough sets in big data analysis: an overview
P Pięta, T Szmuc - International Journal of Applied Mathematics and …, 2021 - sciendo.com
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in
current research and industrial applications. Processing massive amounts of data generated …
current research and industrial applications. Processing massive amounts of data generated …
[HTML][HTML] Feature learning based on connectivity estimation for unbiased mammography mass classification
G Li, R Zwiggelaar - Computer Vision and Image Understanding, 2024 - Elsevier
Breast cancer is the most commonly diagnosed female malignancy worldwide. Recent
developments in deep convolutional neural networks have shown promising performance …
developments in deep convolutional neural networks have shown promising performance …
Machine learning and image processing for breast cancer: a systematic map
Abstract Machine Learning (ML) combined with Image Processing (IP) gives a powerful tool
to help physician, doctors and radiologist to make more accurate decisions. Breast cancer …
to help physician, doctors and radiologist to make more accurate decisions. Breast cancer …
A detailed study of the distributed rough set based locality sensitive hashing feature selection technique
Z Chelly Dagdia, C Zarges - Fundamenta Informaticae, 2021 - content.iospress.com
In the context of big data, granular computing has recently been implemented by some
mathematical tools, especially Rough Set Theory (RST). As a key topic of rough set theory …
mathematical tools, especially Rough Set Theory (RST). As a key topic of rough set theory …
Knowledge discovery in databases using novel approaches based on Computational Intelligence
ZC Dagdia - 2023 - hal.science
The Habilitation Thesis explores various methods aimed at discovering knowledge from
data using new techniques based on computational intelligence. These methods have been …
data using new techniques based on computational intelligence. These methods have been …
Handling uncertainty using optimal clustering with rough sets‐based rule generation model for data classification
H Bhukya, M Sadanandam - Expert Systems, 2024 - Wiley Online Library
In recent times, MapReduce has become a popular tool for handling big data. At the same
time, uncertainty is related to arbitrariness, fuzziness, ambiguity, irregularity and incomplete …
time, uncertainty is related to arbitrariness, fuzziness, ambiguity, irregularity and incomplete …
An AI-based method to retrieve hematoxylin and eosin breast histology images using mammograms
A Hamidinekoo, E Denton, K Honnor… - … Workshop on Breast …, 2020 - spiedigitallibrary.org
Early diagnosis of breast cancer can increase survival rate. The assessment process for
breast screening follows a triple assessment model: appropriate imaging, clinical …
breast screening follows a triple assessment model: appropriate imaging, clinical …
[PDF][PDF] er des recherches
D Ślęzak, G Cleuziou, P Gançarski, S Amer-Yahia… - hal.science
La thèse d'habilitation explore différentes méthodes visant à découvrir des connaissances à
partir des données en utilisant de nouvelles techniques basées sur l'intelligence …
partir des données en utilisant de nouvelles techniques basées sur l'intelligence …
Optimized attribute selection using artificial plant (ap) algorithm with esvm classifier (ap-esvm) and improved singular value decomposition (isvd)-based …
In the tremendous field of the bioinformatics look into, enormous volume of genetic
information has been produced. Higher throughput gadgets are made accessible at lower …
information has been produced. Higher throughput gadgets are made accessible at lower …