rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | Sufriyana, Herdiantri, Su, Emily Chia-Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns
by: Wang, Ziqian, et al.
Published: (2025)
by: Wang, Ziqian, et al.
Published: (2025)
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction
by: Liu, Jin-Xing, et al.
Published: (2024)
by: Liu, Jin-Xing, et al.
Published: (2024)
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
by: Sairam, S, et al.
Published: (2025)
by: Sairam, S, et al.
Published: (2025)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
by: Avery, Katherine, et al.
Published: (2025)
by: Avery, Katherine, et al.
Published: (2025)
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting
by: Qin, Liyang, et al.
Published: (2025)
by: Qin, Liyang, et al.
Published: (2025)
U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
by: Smith, Michael, et al.
Published: (2026)
by: Smith, Michael, et al.
Published: (2026)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
by: Leyli-abadi, Milad, et al.
Published: (2025)
by: Leyli-abadi, Milad, et al.
Published: (2025)
Sensitivity Uncertainty Alignment in Large Language Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
Transformers Meet Relational Databases
by: Peleška, Jakub, et al.
Published: (2024)
by: Peleška, Jakub, et al.
Published: (2024)
A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)
by: Borah, Parashjyoti, et al.
Published: (2026)
Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework
by: Vinden, Nicholas, et al.
Published: (2025)
by: Vinden, Nicholas, et al.
Published: (2025)
T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System
by: Laabs, Adam
Published: (2026)
by: Laabs, Adam
Published: (2026)
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)
by: Abdelhamid, Mohamed, et al.
Published: (2024)
HEHRGNN: A Unified Embedding Model for Knowledge Graphs with Hyperedges and Hyper-Relational Edges
by: Rajagopalamenon, Rajesh, et al.
Published: (2026)
by: Rajagopalamenon, Rajesh, et al.
Published: (2026)
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
by: Li, Andrew C., et al.
Published: (2025)
by: Li, Andrew C., et al.
Published: (2025)
Graph Spring Neural ODEs for Link Sign Prediction
by: Rehmann, Andrin, et al.
Published: (2024)
by: Rehmann, Andrin, et al.
Published: (2024)
Generative and Contrastive Graph Representation Learning
by: Chen, Jiali, et al.
Published: (2025)
by: Chen, Jiali, et al.
Published: (2025)
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
by: Mohan, Shiwali, et al.
Published: (2023)
by: Mohan, Shiwali, et al.
Published: (2023)
Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
by: Navakoti, Raj, et al.
Published: (2026)
by: Navakoti, Raj, et al.
Published: (2026)
High Quality Embeddings for Horn Logic Reasoning
by: Zhang, Yifan, et al.
Published: (2026)
by: Zhang, Yifan, et al.
Published: (2026)
E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient
by: Zahra, Maryam, et al.
Published: (2024)
by: Zahra, Maryam, et al.
Published: (2024)
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)
by: Jiang, Zeyu, et al.
Published: (2025)
Interpretable Clustering: A Survey
by: Hu, Lianyu, et al.
Published: (2024)
by: Hu, Lianyu, et al.
Published: (2024)
Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
by: Karabulut, Burak, et al.
Published: (2026)
by: Karabulut, Burak, et al.
Published: (2026)
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)
by: Cotti, Luca, et al.
Published: (2025)
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
by: Aharon, Eliya Naomi, et al.
Published: (2026)
by: Aharon, Eliya Naomi, et al.
Published: (2026)
From Next Token Prediction to (STRIPS) World Models
by: Núñez-Molina, Carlos, et al.
Published: (2025)
by: Núñez-Molina, Carlos, et al.
Published: (2025)
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)
by: Jiang, Rongjie, et al.
Published: (2026)
Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)
by: Betts, Joshua W., et al.
Published: (2025)
Learning, Fast and Slow: Towards LLMs That Adapt Continually
by: Tiwari, Rishabh, et al.
Published: (2026)
by: Tiwari, Rishabh, et al.
Published: (2026)
Tensor Logic: The Language of AI
by: Domingos, Pedro
Published: (2025)
by: Domingos, Pedro
Published: (2025)
In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)
by: Gu, Enhao, et al.
Published: (2025)
ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
by: Pospieszny, Przemek, et al.
Published: (2025)
by: Pospieszny, Przemek, et al.
Published: (2025)
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)
by: Khandelwal, Vedant, et al.
Published: (2024)
Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)
by: Birardi, Giuseppe
Published: (2025)
Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
by: Khuat, Thanh Tung, et al.
Published: (2025)
by: Khuat, Thanh Tung, et al.
Published: (2025)
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
by: Khuat, Thanh Tung, et al.
Published: (2024)
by: Khuat, Thanh Tung, et al.
Published: (2024)
Similar Items
-
A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns
by: Wang, Ziqian, et al.
Published: (2025) -
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction
by: Liu, Jin-Xing, et al.
Published: (2024) -
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
by: Sairam, S, et al.
Published: (2025) -
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020) -
Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
by: Avery, Katherine, et al.
Published: (2025)