Image de couverture de livre

AI driven health recommender

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vignesh, K., Pranavi, B., Sreenidhi, Ch.
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
par: Kolouju, Pranavi, et autres
Publié: (2025)

Young people's perceptions and recommendations for conversational generative artificial intelligence in youth mental health
par: Poulsen, Adam, et autres
Publié: (2026)

Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
par: Corrêa, Nicholas Kluge, et autres
Publié: (2022)

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management
par: Ingole, Balaji Shesharao, et autres
Publié: (2024)

Guardrails for avoiding harmful medical product recommendations and off-label promotion in generative AI models
par: Lopez-Martinez, Daniel
Publié: (2024)

Evaluating graph-based explanations for AI-based recommender systems
par: Delarue, Simon, et autres
Publié: (2024)

Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications
par: Subramanian, Vignesh, et autres
Publié: (2026)

Certificate-Guided Evaluation of Reinforcement Learning Generalization
par: Subramanian, Vignesh, et autres
Publié: (2026)

Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations
par: Hamilton, Kyle, et autres
Publié: (2026)

Explainable AI: Definition and attributes of a good explanation for health AI
par: Kyrimi, Evangelia, et autres
Publié: (2024)

A Community-driven vision for a new Knowledge Resource for AI
par: Chaudhri, Vinay K, et autres
Publié: (2025)

Content filtering methods for music recommendation: A review
par: Zeng, Terence, et autres
Publié: (2025)

TelOps: AI-driven Operations and Maintenance for Telecommunication Networks
par: Yang, Yuqian, et autres
Publié: (2024)

MHINDR -- a DSM5 based mental health diagnosis and recommendation framework using LLM
par: Agarwal, Vaishali, et autres
Publié: (2025)

Path-based summary explanations for graph recommenders (extended version)
par: Karidi, Danae Pla, et autres
Publié: (2024)

Can Kernel Methods Explain How the Data Affects Neural Collapse?
par: Kothapalli, Vignesh, et autres
Publié: (2024)

AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging
par: Huh, Jaeyoung, et autres
Publié: (2024)

Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
par: Nongkhai, Lalita Na, et autres
Publié: (2026)

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
par: Gokul, Vignesh, et autres
Publié: (2025)

Adversarial Question Answering Robustness: A Multi-Level Error Analysis and Mitigation Study
par: Choudhury, Agniv Roy, et autres
Publié: (2026)

Research on color recipe recommendation based on unstructured data using TENN
par: Jhang, Seongsu, et autres
Publié: (2024)

Dynamic fairness-aware recommendation through multi-agent social choice
par: Aird, Amanda, et autres
Publié: (2023)

FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems
par: Xing, Shanli, et autres
Publié: (2026)

Reproducible workflow for online AI in digital health
par: Ghosh, Susobhan, et autres
Publié: (2025)

Generate the browsing process for short-video recommendation
par: Feng, Chao, et autres
Publié: (2025)

Learning to act: a Reinforcement Learning approach to recommend the best next activities
par: Branchi, Stefano, et autres
Publié: (2022)

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
par: Ying, Wangyang, et autres
Publié: (2025)

Interpretable AI-driven Guidelines for Type 2 Diabetes Treatment from Observational Data
par: Agarwal, Dewang Kumar, et autres
Publié: (2025)

AI-driven Automation as a Pre-condition for Eudaimonia
par: Siapka, Anastasia
Publié: (2024)

Data driven approaches in nanophotonics: A review of AI-enabled metadevices
par: Zhang, Huanshu, et autres
Publié: (2025)

An Integrated Approach to AI-Generated Content in e-health
par: Ahmed, Tasnim, et autres
Publié: (2025)

Use of recommendation models to provide support to dyslexic students
par: Morciano, Gianluca, et autres
Publié: (2024)

Handling Large-scale Cardinality in building recommendation systems
par: Kurra, Dhruva Dixith, et autres
Publié: (2024)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia
par: Ahmed, Sabeen, et autres
Publié: (2025)

ThinkRec: Thinking-based recommendation via LLM
par: Yu, Qihang, et autres
Publié: (2025)

Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
par: Xia, Feng, et autres
Publié: (2025)

A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments
par: Bangad, Nikhil, et autres
Publié: (2024)

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
par: Schieferdecker, Ina K.
Publié: (2025)

Key Safety Design Overview in AI-driven Autonomous Vehicles
par: Vyas, Vikas, et autres
Publié: (2024)

AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
par: Brown, Colin, et autres
Publié: (2026)