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🔍 Problem Description:
In the banking industry, it is critical to predict which customers are at risk of leaving to develop retention strategies and prevent revenue loss. This project, titled Custome…
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> Despite attractive theoretical guarantees and practical successes, Predictive Interval (PI) given by Conformal Prediction (CP) m…
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Problem Description
The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for eff…
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I would like to work on this in the respective manner:
Problem Description:
This model aims to address the challenge of forecasting future expenses by analyzing historical spending patterns, up…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no simi…
Vin-G updated
2 weeks ago
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http://www.jcreview.com/fulltext/197-1592985867.pdf
Another article going through an example of an ANN being used to predict stock prices. Very good background info on ANN and Deep learning.
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**Is your feature request related to a problem? Please describe.**
We usually interpret confidence scores as a proxy for the error estimate in the keypoints prediction. However, it is well known that…
sfmig updated
2 months ago
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https://arxiv.org/abs/1609.00150
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Hi! I am trying to extend the tutorials 3 and 4 to implement the Logistic Hazard loss in a Graph Neural Network for Graph-level prediction of survival. This is the[ example](https://docs.dgl.ai/tutori…