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Transfer Learning and Meta Classification Based Deep Churn Prediction System ...
A churn prediction system guides telecom service providers to reduce revenue loss. However, the development of churn prediction system for a telecom industry is a challenging... -
JutePestDetect
A comprehensive jute pest dataset consisting of 17 distinct pest classes, facilitating a more thorough analysis. -
Tiny-ImageNet6
The dataset used for transfer learning tasks. -
Adaptive Feature Ranking for Unsupervised Transfer Learning
Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and... -
Breast Cancer Image Classification Method Based on Deep Transfer Learning
Breast cancer image classification method based on deep transfer learning -
Boosting reinforcement learning in competitive influence maximization with tra...
The dataset used in the paper is a real-world dataset for influence maximization, which is a combinatorial optimization problem. -
Framework for Fast Scalable BNN Inference Using GoogleNet and Transfer Learning
The work in this project aims to achieve high accuracy in object detection with good real time performance. -
RADAR (Research Data Repository)
Imported
Multivariate time series dataset of milling 16mncr5 for anomaly detection
Abstract: The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly... -
RADAR (Research Data Repository)
Imported
Domain-shift-dataset of defects on metallic surfaces (msd-shift)
TechnicalRemarks: The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products...
