https://www.easychair.org/publications/preprint/Dssf
Cloud-Based Diabetic Prediction Framework: Deep Learning Approach
cloud basedprediction frameworkdeep learningdiabeticapproach
https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1483084/full
Frontiers | Comprehensive data optimization and risk prediction framework: machine learning methods...
Over the past decade, the prevalence of inflammatory bowel disease (IBD) has significantly increased, making early detection crucial for improving patient su...
comprehensive dataprediction frameworkmachine learningfrontiersoptimization
https://www.mdpi.com/2075-4418/13/10/1703
A Deep Learning Framework for the Prediction and Diagnosis of Ovarian Cancer in Pre- and...
Ovarian cancer ranks as the fifth leading cause of cancer-related mortality in women. Late-stage diagnosis (stages III and IV) is a major challenge due to the...
diagnosis of ovarian cancer
https://arxiv.org/abs/1807.09741
[1807.09741] PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Abstract page for arXiv paper 1807.09741: PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
https://aclanthology.org/2024.findings-acl.378/
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model...
Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan. Findings of the Association for Computational Linguistics: ACL 2024. 2024.
https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.971369/full
Frontiers | A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors
PARP (poly ADP-ribose polymerase) family is a crucial DNA repair enzyme that responds to DNA damage, regulates apoptosis, and maintains genome stability; the...
https://www.muni.cz/vyzkum/publikace/1540256
AIDA Framework: Real-Time Correlation and Prediction of Intrusion Detection Alerts | Masarykova...
aida frameworkreal time
https://pmc.ncbi.nlm.nih.gov/articles/PMC3575184/
Assessing the performance of prediction models: a framework for some traditional and novel measures...
The performance of prediction models can be assessed using a variety of different methods and metrics. Traditional measures for binary and survival outcomes...
https://www.cqvip.com/doc/journal/7202878901?sign=a7ef3b5e81aa8e65332430002bf1429a285aa6aee36a6edc9314d54cceab9840&expireTime=1791847352550&resourceId=7202878901&type=1
Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages...
Machine learning has advanced the rapid prediction of inorganic materials properties,yet data scarcity for specific properties and capturing thermodynamic...
materials property
https://www.mdpi.com/2073-4433/14/9/1413
A Novel AI Framework for PM Pollution Prediction Applied to a Greek Port City
Particulate matter (PM) pollution is a major global concern due to its negative impact on human health. To effectively address this issue, it is crucial to...
https://pmc.ncbi.nlm.nih.gov/articles/PMC12001402/
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction...
Mortality prediction is critical in clinical care, particularly in intensive care units (ICUs), where early identification of high-risk patients can inform...
deep learning framework
https://arxiv.org/abs/2410.14888
[2410.14888] Self-Satisfied: An end-to-end framework for SAT generation and prediction
Abstract page for arXiv paper 2410.14888: Self-Satisfied: An end-to-end framework for SAT generation and prediction
https://arxiv.org/abs/1902.01622
[1902.01622] A General Framework for Prediction in Time Series Models
Abstract page for arXiv paper 1902.01622: A General Framework for Prediction in Time Series Models
general frameworkin time1902
https://www.preprints.org/manuscript/202505.0929
DecisionFlow for SMEs: A Lightweight Visual Framework for Multi-Task Joint Prediction and Anomaly...
The digital transformation of industry has placed immense pressure on small and medium-sized enterprises (SMEs), which often lack the resources and technical...
https://jmlr.org/papers/v22/18-558.html
A Unified Framework for Random Forest Prediction Error Estimation
unified frameworkrandom forestprediction errorestimation
https://dev.to/agentbets/how-to-choose-an-agent-wallet-for-prediction-markets-the-complete-decision-framework-46gl
How to Choose an Agent Wallet for Prediction Markets: The Complete Decision Framework - DEV...
`An agent wallet is a programmable digital wallet designed to let an AI agent hold funds, execute... Tagged with agents, wallet, polymarket, kalshi.
how to choose
https://www.osti.gov/biblio/2418408
A Data-Driven Spatio-Temporal Speed Prediction Framework for Energy Management of Connected...
Not provided. | OSTI.GOV
https://deepai.org/publication/recoat-a-deep-learning-based-framework-for-multi-modal-motion-prediction-in-autonomous-driving-application
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving...
Jul 2, 2022 - 07/02/22 - This paper proposes a novel deep learning framework for multi-modal motion prediction. The framework consists of three parts: recu...
https://www.inderscience.com/info/e_inarticle.php?artid=56643
Article: A similarity based learning framework for interim analysis of outcome prediction of...
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
learning framework
https://jmlr.org/papers/v21/20-097.html
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings
general frameworkstructured predictionconsistent