:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghimire, Prajwal, Li, Junjie, Yaou, Liu, Modat, Marc, Booth, Thomas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.10278
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies
by: Ghimire, Prajwal, et al.
Published: (2024)

MRI Radiomics for IDH Genotype Prediction in Glioblastoma Diagnosis
by: Kozák, Stanislav
Published: (2024)

PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
by: Divekar, Abhishek, et al.
Published: (2026)

Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
by: Daga, Karan, et al.
Published: (2024)

Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality
by: Vicente, Ana Letícia Garcez, et al.
Published: (2024)

ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment
by: Quarez, Julien, et al.
Published: (2024)

LightGBM robust optimization algorithm based on topological data analysis
by: Yang, Han, et al.
Published: (2024)

Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
by: Yu, Chang, et al.
Published: (2024)

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes
by: Fu, Rong, et al.
Published: (2026)

Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility
by: Lozano-Montoya, Jose, et al.
Published: (2026)

Predicting Prognosis and Immunotherapy Response in Glioblastoma (GBM) With a 5‐Gene CAF‐Risk Signature
by: Haifeng He, et al.
Published: (2025)

Probability Signature: Bridging Data Semantics and Embedding Structure in Language Models
by: Yao, Junjie, et al.
Published: (2025)

Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
by: Koirala, Prajwal, et al.
Published: (2025)

Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM
by: Ogiesoba-Eguakun, Osasumwen Cedric, et al.
Published: (2026)

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
by: Panzade, Prajwal, et al.
Published: (2022)

Solving Offline Reinforcement Learning with Decision Tree Regression
by: Koirala, Prajwal, et al.
Published: (2024)

Pan-Cancer Mapping of the Tumor Immune Landscape through Metagene Clustering and Predictive Modeling
by: Chatterjee, Soham
Published: (2026)

Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research
by: Li, Shaojie, et al.
Published: (2024)

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics
by: Mesbah, Zacharia, et al.
Published: (2025)

Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
by: Idrissova, Shekhnaz, et al.
Published: (2025)

Power Law Guided Dynamic Sifting for Efficient Attention
by: Koley, Nirav, et al.
Published: (2025)

Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
by: Zhu, Mengran, et al.
Published: (2024)

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis
by: Zhang, Zeyu, et al.
Published: (2024)

Distribution-free inference for LightGBM and GLM with Tweedie loss
by: Manna, Alokesh, et al.
Published: (2025)

TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human Validation
by: Panth, Prajwal, et al.
Published: (2026)

Federated Learning Framework for Scalable AI in Heterogeneous HPC and Cloud Environments
by: Ghimire, Sangam, et al.
Published: (2025)

PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care
by: Tripathi, Satvik, et al.
Published: (2024)

Leveraging Support Vector Regression, Radiomics and Dosiomics for Outcome Prediction in Personalized Ultra-fractionated Stereotactic Adaptive Radiotherapy (PULSAR)
by: Yu, Yajun, et al.
Published: (2025)

Advanced Payment Security System:XGBoost, LightGBM and SMOTE Integrated
by: Zheng, Qi, et al.
Published: (2024)

Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
by: Mahmoud, Imen, et al.
Published: (2025)

Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma
by: Jamil, Hasan M
Published: (2026)

Efficient Dilated Squeeze and Excitation Neural Operator for Differential Equations
by: Chauhan, Prajwal, et al.
Published: (2026)

Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
by: So, Banghee
Published: (2023)

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
by: Koirala, Prajwal, et al.
Published: (2024)

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning
by: Koirala, Prajwal, et al.
Published: (2024)

Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
by: Chauhan, Prajwal, et al.
Published: (2025)

Fairness Constraints in High-Dimensional Generalized Linear Models
by: Lin, Yixiao, et al.
Published: (2026)

Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
by: He, Zhijin, et al.
Published: (2025)

A Depth-Aware Comparative Study of Euclidean and Hyperbolic Graph Neural Networks on Bitcoin Transaction Systems
by: Ghimire, Ankit, et al.
Published: (2026)

Different thresholding methods on Nearest Shrunken Centroid algorithm
by: Sahtout, Mohammad Omar, et al.
Published: (2024)