Image de couverture de livre

AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Khakpour, Amirhossein, Florescu, Lucia, Tilley, Richard, Jiang, Haibo, Iyer, K. Swaminathan, Carneiro, Gustavo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction
par: Zhang, Han, et autres
Publié: (2025)

SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
par: K, Swaminathan S, et autres
Publié: (2026)

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
par: Gao, Wentao, et autres
Publié: (2024)

Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction
par: de Sá, Alex G. C., et autres
Publié: (2024)

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
par: Jawad, K M Tawsik, et autres
Publié: (2024)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
par: Gao, Xiaowei, et autres
Publié: (2024)

Identification and Mitigating Bias in Quantum Machine Learning
par: Swaminathan, Nandhini, et autres
Publié: (2024)

Reliable Conflictive Multi-View Learning
par: Xu, Cai, et autres
Publié: (2024)

AI-Powered Predictions for Electricity Load in Prosumer Communities
par: Kychkin, Aleksei, et autres
Publié: (2024)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
par: Tan, Zexi, et autres
Publié: (2025)

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
par: Wang, Zhenzhong, et autres
Publié: (2024)

Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
par: Trirat, Patara, et autres
Publié: (2025)

Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
par: Wang, Haibo, et autres
Publié: (2025)

A Lightweight Multi-View Approach to Short-Term Load Forecasting
par: Guité-Vinet, Julien, et autres
Publié: (2026)

SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
par: Zolfagharian, Amirhossein, et autres
Publié: (2023)

Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
par: Yousefiramandi, Amirhossein
Publié: (2026)

Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
par: von Kügelgen, Julius
Publié: (2024)

Multi-View Conformal Learning for Heterogeneous Sensor Fusion
par: Garcia-Ceja, Enrique
Publié: (2024)

Tensor-Fused Multi-View Graph Contrastive Learning
par: Wu, Yujia, et autres
Publié: (2024)

Multi-View Causal Representation Learning with Partial Observability
par: Yao, Dingling, et autres
Publié: (2023)

Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
par: Mohammed, Hamza Haruna, et autres
Publié: (2026)

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
par: Arbel, Michael, et autres
Publié: (2026)

TraffNet: Learning Causality of Traffic Generation for What-if Prediction
par: Xu, Ming, et autres
Publié: (2023)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
par: Miao, Hao, et autres
Publié: (2024)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
par: Ghaffari, Amirhossein, et autres
Publié: (2025)

Interpretable Deep Reinforcement Learning for Element-level Bridge Life-cycle Optimization
par: Moayyedi, Seyyed Amirhossein, et autres
Publié: (2026)

Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble
par: Kumthekar, Amit, et autres
Publié: (2025)

The Context Gathering Decision Process: A POMDP Framework for Agentic Search
par: Kausik, Chinmaya, et autres
Publié: (2026)

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
par: Cheng, Ching-An, et autres
Publié: (2024)

Multi-View Spectral Clustering for Graphs with Multiple View Structures
par: Tsitsikas, Yorgos, et autres
Publié: (2025)

Learning Fused State Representations for Control from Multi-View Observations
par: Wang, Zeyu, et autres
Publié: (2025)

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
par: Xu, Mingjing, et autres
Publié: (2024)

GOD model: Privacy Preserved AI School for Personal Assistant
par: PIN AI Team, et autres
Publié: (2025)

PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
par: Ezeakunne, Chidozie, et autres
Publié: (2026)

DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
par: Poudel, Bibek, et autres
Publié: (2026)

Mutual Information Tracks Policy Coherence in Reinforcement Learning
par: Reid, Cameron, et autres
Publié: (2025)

Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
par: Jiang, Xia, et autres
Publié: (2026)

L2CU: Learning to Complement Unseen Users
par: Pitawela, Dileepa, et autres
Publié: (2026)

MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs
par: Moitra, Abhishek, et autres
Publié: (2025)

Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
par: Liu, Zibo, et autres
Publié: (2024)