Value prediction
15 papers with code • 1 benchmarks • 0 datasets
Latest papers with no code
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
In this work, we propose an approach to generalize denoising diffusion probabilistic models for stock market predictions and portfolio management.
Value Prediction for Spatiotemporal Gait Data Using Deep Learning
The proposed, customized models, used with value prediction open possibilities for additional applications, such as fall prediction, in-home progress monitoring, aiding of exoskeleton movement, and authentication.
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Node importance estimation problem has been studied conventionally with homogeneous network topology analysis.
AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence
To quantify the uncertainty of our network for each individual prediction, we used the outputs of an ensemble of 8 networks to calculate a predicted standard deviation for each RI value prediction.
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework
Image segmentation, real-value prediction, and cross-modal translation are critical challenges in medical imaging.
Explainable artificial intelligence model for identifying Market Value in Professional Soccer Players
This study introduces an advanced machine learning method for predicting soccer players' market values, combining ensemble models and the Shapley Additive Explanations (SHAP) for interpretability.
SAGE: Structured Attribute Value Generation for Billion-Scale Product Catalogs
We introduce SAGE; a Generative LLM for inferring attribute values for products across world-wide e-Commerce catalogs.
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue and this could be achieved only by understanding the customers more.
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Accurate customer lifetime value (LTV) prediction can help service providers optimize their marketing policies in customer-centric applications.
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs
Building cross-model intelligence that can understand charts and communicate the salient information hidden behind them is an appealing challenge in the vision and language(V+L) community.