Copertina

Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Ghawami, Sajad
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Quantitative Methods J.3; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
di: Kuhn, Stefan, et al.
Pubblicazione: (2026)

New methods for drug synergy prediction: a mini-review
di: Abbasi, Fatemeh, et al.
Pubblicazione: (2024)

DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
di: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Pubblicazione: (2025)

An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
di: Yu, Wing Yi, et al.
Pubblicazione: (2026)

Modeling Patient Care Trajectories with Transformer Hawkes Processes
di: Pandey, Saumya, et al.
Pubblicazione: (2026)

Autoregressive fragment-based diffusion for pocket-aware ligand design
di: Ghorbani, Mahdi, et al.
Pubblicazione: (2023)

Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
di: Szałata, Artur, et al.
Pubblicazione: (2026)

GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
di: Ding, Yiran, et al.
Pubblicazione: (2026)

Predicting effect of novel treatments using molecular pathways and real-world data
di: Couetoux, Adrien, et al.
Pubblicazione: (2025)

Deep learning of geometrical cell division rules
di: Durrmeyer, Alexandre, et al.
Pubblicazione: (2025)

SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
di: XU, Shengrui, et al.
Pubblicazione: (2025)

Layer Probing Improves Kinase Functional Prediction with Protein Language Models
di: Kumar, Ajit, et al.
Pubblicazione: (2025)

Not All Memories Age the Same: Autodiscovery of Adaptive Decay in Knowledge Graphs
di: Karhade, Mandar
Pubblicazione: (2026)

Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
di: Mamatov, Nursultan, et al.
Pubblicazione: (2025)

RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
di: Shi, Zhenkun, et al.
Pubblicazione: (2026)

To Bin or not to Bin: Alternative Representations of Mass Spectra
di: de Jonge, Niek, et al.
Pubblicazione: (2025)

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data
di: Alharbi, Fadi, et al.
Pubblicazione: (2025)

Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction
di: Liu, Jin-Xing, et al.
Pubblicazione: (2024)

Genotype-Phenotype Integration through Machine Learning and Personalized Gene Regulatory Networks for Cancer Metastasis Prediction
di: Fu, Jiwei, et al.
Pubblicazione: (2025)

Bio AI Agent: A Multi-Agent Artificial Intelligence System for Autonomous CAR-T Cell Therapy Development with Integrated Target Discovery, Toxicity Prediction, and Rational Molecular Design
di: Ni, Yi, et al.
Pubblicazione: (2025)

Notation-level confounding: When inconsistent molecular notations mislead chemical language models
di: Kikuchi, Yosuke, et al.
Pubblicazione: (2025)

A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
di: Manu, Bright Kwaku, et al.
Pubblicazione: (2025)

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
di: Di Teodoro, Giulia, et al.
Pubblicazione: (2023)

Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
di: Khuat, Thanh Tung, et al.
Pubblicazione: (2025)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
di: Khuat, Thanh Tung, et al.
Pubblicazione: (2024)

KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
di: Niloy, Soumik Deb, et al.
Pubblicazione: (2026)

DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
di: Hirata-Miyasaki, Eduardo, et al.
Pubblicazione: (2024)

An Explainable Ensemble Framework for Alzheimer's Disease Prediction Using Structured Clinical and Cognitive Data
di: Mitra, Nishan
Pubblicazione: (2026)

Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS
di: Alsaidi, Safa, et al.
Pubblicazione: (2026)

Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients
di: Nguycharoen, Nantika
Pubblicazione: (2024)

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
di: Chen, Jiameng, et al.
Pubblicazione: (2025)

Domain-aware priors stabilize, not merely enable, vertical federated learning in data-scarce coral multi-omics
di: Victor, Sam
Pubblicazione: (2025)

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
di: Liu, Kara, et al.
Pubblicazione: (2026)

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
di: Gao, Yiming, et al.
Pubblicazione: (2026)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
di: Dun, Zihan, et al.
Pubblicazione: (2026)

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
di: Zhang, Ray Zirui, et al.
Pubblicazione: (2023)

UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
di: Li, Chenao, et al.
Pubblicazione: (2025)

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics
di: Steinacker, Marie, et al.
Pubblicazione: (2025)

Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
di: Morehead, Alex, et al.
Pubblicazione: (2023)

Assessing the potential of deep learning for protein-ligand docking
di: Morehead, Alex, et al.
Pubblicazione: (2024)