:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shahid, Muhammad Usamah, Farooq, Muddassar
Formato:	Preprint
Publicado:	2025
Materias:	Quantitative Methods Machine Learning
Acceso en línea:	https://arxiv.org/abs/2512.10995
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Survival Meets Classification: A Novel Framework for Early Risk Prediction Models of Chronic Diseases
por: Khan, Shaheer Ahmad, et al.
Publicado: (2026)

FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
por: Moradpour, Maryam, et al.
Publicado: (2026)

Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
por: Menon, Niranjana Arun, et al.
Publicado: (2025)

Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
por: Podina, Lena, et al.
Publicado: (2024)

Conservative Continuous-Time Treatment Optimization
por: Schneider, Nora, et al.
Publicado: (2026)

An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases
por: Khan, Shaheer Ahmad, et al.
Publicado: (2025)

CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction
por: Van Le, Huong, et al.
Publicado: (2025)

Forest tree species classification and entropy-derived uncertainty mapping using extreme gradient boosting and Sentinel-1/2 satellite data
por: Abdi, Abdulhakim M., et al.
Publicado: (2025)

Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
por: Vollenweider, Michael, et al.
Publicado: (2024)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
por: Wu, Haomin, et al.
Publicado: (2026)

Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decoding
por: Zhu, Enqiang, et al.
Publicado: (2024)

Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
por: Jayagopal, Aishwarya, et al.
Publicado: (2024)

GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction
por: Muna, Ummay Maria, et al.
Publicado: (2025)

A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
por: Parthasarathy, Rishab, et al.
Publicado: (2025)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
por: Jiang, Zhuoyang, et al.
Publicado: (2026)

Virtual Cells: Predict, Explain, Discover
por: Noutahi, Emmanuel, et al.
Publicado: (2025)

Conformal Prediction in Dynamic Biological Systems
por: Portela, Alberto, et al.
Publicado: (2024)

Instrumental Variable Estimation for Compositional Treatments
por: Ailer, Elisabeth, et al.
Publicado: (2021)

Predicting Activity Cliffs for Autonomous Medicinal Chemistry
por: Cuccarese, Michael
Publicado: (2026)

Graph-Theoretic Models for the Prediction of Molecular Measurements
por: Niane, Anna, et al.
Publicado: (2026)

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
por: Jian, Yiren, et al.
Publicado: (2023)

Curriculum-Augmented GFlowNets For mRNA Sequence Generation
por: Laajil, Aya, et al.
Publicado: (2025)

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction
por: Hagerman, David, et al.
Publicado: (2025)

Enhancing Breast Cancer Prediction with LLM-Inferred Confounders
por: Roy, Debmita
Publicado: (2025)

Dual-Modality Representation Learning for Molecular Property Prediction
por: Zhao, Anyin, et al.
Publicado: (2025)

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
por: Cheng, Jiabei, et al.
Publicado: (2025)

Improving Antibody Humanness Prediction using Patent Data
por: Ucar, Talip, et al.
Publicado: (2024)

Better Protein Function Prediction by Modeling Survivorship Bias
por: Chao, Zhongmou, et al.
Publicado: (2026)

Graph Residual based Method for Molecular Property Prediction
por: Sen, Kanad, et al.
Publicado: (2024)

BAPULM: Binding Affinity Prediction using Language Models
por: Meda, Radheesh Sharma, et al.
Publicado: (2024)

Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
por: Schürch, Manuel, et al.
Publicado: (2024)

Sparse Autoencoders for Low-$N$ Protein Function Prediction and Design
por: Tsui, Darin, et al.
Publicado: (2025)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
por: Strobl, Eric V.
Publicado: (2025)

Predicting and generating antibiotics against future pathogens with ApexOracle
por: Leng, Tianang, et al.
Publicado: (2025)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction
por: Guo, Peijin, et al.
Publicado: (2025)

AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence
por: Geer, Lewis Y., et al.
Publicado: (2024)

Predicting Emergency Department Visits for Patients with Type II Diabetes
por: Alizadeh, Javad M, et al.
Publicado: (2024)

Evaluating Molecule Synthesizability via Retrosynthetic Planning and Reaction Prediction
por: Liu, Songtao, et al.
Publicado: (2024)

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention
por: Mohanty, Anwesh, et al.
Publicado: (2024)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
por: Xie, HongXin, et al.
Publicado: (2025)